[Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] good morning good afternoon good evening everyone welcome to today's webinar my name is Clint Toral and uh we are the students under the program of Dr of philosophy and nursing at the Philippine Women's University it is our pleasure to be the host of this webinar on behalf of our group we would like to extend warm to all of you and we hope you will learn a lot today today we are we are presenting AI in modern era a catalyst for holistic care or not are you all excited for our topic today can we see a very a virtual thumbs up from the audience all right so to formally start our program let's begin with a doxology to be followed by the singing of the Philippine national anthem [Music] your might with the love [Music] you are King [Music] Rest In [Music] Christ Qui the [Music] you above the you are the of [Music] you are of I will be still [Music] you [Music] s you are still you my God I will be you my God I will for you [Music] [Music] for foree [Music] [Music] [Music] [Music] all right to give us the program introduction for this weinar may we call on Miss Joy Malai RN man afterwards it will be the opening remarks to be delivered by Miss Wilma radera also RN man so let us give them a virtual Round of Applause please good day everyone as we explore a rapidly evolving Healthcare landscape the integration of artificial intelligence has become an important topic especially in nursing today we will explore how AI Technologies are shaping our practices and whether they enhance our challenge an ability to provide holistic patient centered care in an era where technology is increasingly influencing Healthcare practices understanding the role of AI is crucial this webinar aims to critically assess how AI can enhance or challenge our ability to provide comprehensive patient centered care which is the Cornerstone of holistic nursing this is also to understand the current trends in AI technology and its application in nursing and will'll also assess the potential benefits and drawbacks of integrating AI into holistic care practices and will discuss how we as future nursing leaders can explore the ethical and practical implications of these advancements AI in healthcare is not just about technology it's about how we can enhance our our practice to provide better more holistic care for our patients as we explore this topic today I encourage each of you to consider the implication of AI in your future nursing careers good afternoon everyone and welcome to today's webinar AI in the new era a catalyst in her listic care or not I am delighted to see such an Engaged group of nurses and PhD students joining us to explore a topic that is rapidly transforming the landscape of Health Care artificial intelligence or AI has become a bus word across Industries and Healthcare is no exception but what does this mean for nursing a field that has long been rooted in human compassion empathy and the Art of holistic care can AI truly complement the care we provide to our patients or might it challenge the essence of what we do today's discussion will delve into these questions evaluating the role of AI not just as a tool but as a potential partner or disruptor in the way we deliver care we will explore whether AI can serve as a catalyst in improving holistic Care by enhancing our clinical decision making streaming workflows and personalizing patient care or whether it poses limitations particularly in areas where human intuition and empathy are Paramount As Leaders Scholars and practitioners in nursing you are at the for Forefront of this evolving dialogue and your insights are vital as we navigate the intersection between technology and Care thank you for being here and I hope you find today's webinar thought provoking and inspiring let's embrace the possibilities questions the challenges and together shape the future of nursing practice in the age of AI thank you Miss Ali and Miss rad dinera just a little house rules before we get started please turn your microphone off to avoid interruptions if you have any questions to the host or to the speaker please type them in the chat box in our Zoom control panel so we'll bring them up at the Q&A portion of this event now without further ado we will give the floor to Mr Clint toural RN man to give us a brief introduction of our resource speaker let us give him a virtual Round of Applause please thank you m AO our source speaker has completed his BSN program at Emilio aginaldo College on 2006 he got his master's degree at the Philippine Women's University on 2011 he also successfully completed two postmaster's degrees postmaster in family nurse practitioner at College of Mount St Vincent in New York and postmaster in adult gerontology acute care nurse practitioner at perju University Global in Indiana recently he obtained his degree in doctor of nursing practice in advanced practice leadership at Chamberlain University in Illinois in terms of his career path he has vast work experience in clinical and academ both in the Philippines and in the United States of America currently he is specialized in hematology and oncology nursing with his extensive knowledge and experience we are very certain that we will learn a lot from his presentation without further Ado let us all welcome Dr Mark John aribal please let us give him a virtual Round of Applause thank you so much Cen uh good afternoon everyone actually it's morning here so [Music] um so we can start right now just I'm sorry if I'm like coughing you know I just got my flu shot a couple of days ago and then like the following day I develop flew so you know my voice is like all right to start with uh let's talk about uh the uh so our topic here is very interesting it's uh AI or ar icial intelligence in the modern era a catalyst for holistic care or not so that's that's going to be a big question later on so um our learning outcomes outcomes is uh to describe the current application of artificial intelligence or AI in the clinical practice and how this Technologies are integrated into into various aspect of patients nursing care identify the benefits and limitation of AI in enhancing holistic care explore ethical considerations surrounding the use of AI in the clinical practice determine if AI serve as a catalyst in delivering holistic care to clients or patients identify strategies uh practices that nurses May effectively integrate uh holistic care while utilizing AI in the workplace so uh just for my disclosure so I don't promote anything here I'm not linked to like AI company or any application just to let everyone know all right so let's start where's this AI you know the timeline of the AI where it originate and where it started so it's actually started in 1950s with the with the touring test it was developed by Alan touring the touring test uh evaluates a machine which is capable to exhibit intelligent Behavior similar to or indistinguishable from that of a human and then in 1955 AI or artificial was born so John McCarthy a computer scientist described the science of engineer engineering of making intelligence machine so uh he proposed this uh summer workshop at Dart mount College which many of the you know World leading uh like thinkers related to the uh computer industry uh they went there and then as as part of refining his ideas about AI he also invented the programming language in 1958 then in 1961 this is the first industrial robot the unimate is designed to perform rep repetitive task in manufacturing facilities um so this uh this this uh robot actually is so uh they use it in uh New Jersey you know uh this robot they unate robot so those uh like like hard to you know like as hard this uh like workplace they use this robot to like prevent like you know uh work in iny and uh some like uh okay uh in 1964 the Eliza or the chatbot developed by Joseph uh wayen bomb at MIT at uh so this um Eliza and uh this is a computer Pro program capable of engaging uh in conversation with humans it's it is considered the first chatbot so Stanford Research Institute built uh this at as a mobile intelligent robot setting to groundwork for self-driving Cs and drones and then so in 1961 just additional for this you know uh the unimate this is uh you know um it's installed in gen uh General Motors plant in uh Trenton New Jersey yeah I'm sorry for that and then next slide in 1966 the yeah the shaky or the mobile robot has the enough AI to navigate through rooms so this this is the you know the first mobile robot and then um so shaki could perform tasks that required planning route finding and then rearranging of simple objects uh the robot greatly influenced by modern robotic and AI techniques and then uh physically the robot was particularly tall and had an antenna for a radio link and range finder a television camera on board processor and uh Collision of of detection sensor so it's more advanced now you know in 1966 this robot uh have the intelligence to like navigate stuff but it's not refined yet so the robot TOs sture and tendency to shake resulted to its name so that's why it's called shaky and then um in 1997 the deep blue is this uh this is the chess playing Compu uh computer from IBM so this chess blue is and then um in 1998 the kesmat or the emotional intelligent robot introduced by CA brel so just additional with this uh kesmat it's one of the first robot able to demonstrate social and emotional interaction with humans it had a cartoonish face spoke with squeaky baby voice and could always uh make people smile so uh Kismet uh simulates emotion through various facial expression vocalization and movement facial expression are created through movements of the ears eyebrows eyelids uh and uh lips jaw and head and then in 1999 the or robot pet dog launches by Sony so this AO is a rob a robotic dog designed to be an intelligent and trainable robot companion it w it walks barks whines grows like a dog so you know actually you know I'm one of my friend uh there's actually like a like a similar uh dog right now you know like a robotic dog it called Luna you know I actually just check it in Amazon so it uh it cost $499 uh Us doll and it's um what do you call that uh it integrated with the like the chat GPT so the dog uh can record stuff you know can do tricks but you know for me I mean you know you don't want to like uh you know like a robotic dogs like recording you you know like like in the house you know whatever you do you know it's like a invasion of privacy because you don't know you might control the dog but somebody might like uh control the dog as well and then I I don't just trust this like robotic dog then in 2002 the Roomba or the vacuum cleaner uh robot so the Roomba actually it cost 6 699 to 900 almost $1,000 so actually it's this is very inter interesting you know vacuum cleaner but the you know that you know it cleaned the the the whole house so uh back you know in like couple of years uh this like similar vacuum cleaner robot you know uh I I have this stuff I bought this but you know the only problem with this is it cannot clean you know those like uh edges of the room or you know it so uh it has a short a short battery life and I guess in inefficient cleaning and the noise of course and then um in 2011 we all know this uh Siri so Siri is Apple integrated voice interface assistant in iPhone 4 so Siri this is uh so it is included in the iOS if if you're you're using iPhone you're familiar with iOS it is also included in the iPad iPad uh OS and the Mac the MacBook and it uses voice queries guesture base control Focus tracking and uh it used natural language user interface to answer questions make recommendation and perform actions by delegating requests to set of uh internet services so Siri the talking voice uh activated personal assist will come with its new iPhone 4S so it you know it launches in the 4S and then uh in 2011 the Watson the answering computer from IBM uh it's so this answering computer actually uh it's uh you know it's designed to like to join in a popular quiz show jard B so uh this uh this answering computer uh battled with you know the champion of the je party in 2011 Brad Brad rter and Ken Jennings and the computer uh won uh $1 million so the I yeah the IBM Watson defeats the human uh contestant on the quiz uh show joardy and then this machine is a uh natural language process processing uh machine and AI potential to understand and respond to a complex human quers next uh we have 20 in 2014 Eugene uh gutsman a chatbot passed the the touring test so next so in 2014 as well uh we have this Alexa so Alexa is a voice uh I'm sure everyone knows Alexa uh it's a voice Enterprise launches by Amazon that helps to shopping tasks so Alexa or Amazon Alexa is a virtual assistant technology largely based on a Polish speech synthesizer uh bought by Amazon in 2013 it was first used in the Amazon echos smart speaker if you have the speaker uh back then I have this speaker you know you just ask Alexa what's the weather today and she's going to respond back it's very interesting uh it is capable of natural language processing for tasks such as boy uh interaction music playback creating to-do list so everything like everything you as to Alexa she's she's going to organize it um what else Alexa can also control several smart devices so aside from like uh aside from this feature she Alexa can also control like the lighting in the in the house you know turn off like the television so a lot of stuff and then in 2017 Al the Alp or ELO from Google AI that beats the Ki in the uh board game of Go so um so it's developed by Deep Mind a Sub sub of Google so it defeats the world champion in the ancient Chinese board game go demonstrating the potential of AI and complex decisionmaking tasks and um so just to add you know in 2017 we have this Sophia it's called sopia it's a a female social humanoid robot developed uh in uh in Hong Kong and what's interesting about sopia so this is the first robot to be granted citizenship by a country in Saudi Arabia in uh in 2017 October 2017 and then of course right now you know 2022 we have this uh chat GPT and uh so just five days before uh after they launch chat GPT so it's uh you know the user they noted like a million uh a million users over you know a 5day time frame and then 2023 so we have the open AI introduces the chat GPT multimodal you know uh and image prompt all right so let's talk about the artif artificial intelligence uh or AI life cycle so this is like the the the graph here as you can see on the image so we have the data creation model deployment data acquisition model evaluation and model development so first you in the data creation the data creation Pace it involves understanding how the data used to train and evaluate uh clinical AI algorithm so when you talk about AI it's more on the algorithm even in the healthcare so they need to like uh create M multiple algorithm to like resolve or Bridge a gap or an issue so this is like the main component of the AI or the artificial intelligence so often clinician patient interaction from routine care provide the most granular data and is effective source for answering many clinical questions so additional Source such as commercially marketed tools like Fitbit you know 23 and mid uh so all these uh clinical resarch trials may also be used to create a clinical AI algorithms next the data acquisition the data acquisition phase is the process of obtaining uh consolidating data for AI model development at this stage creator of a algorithm seeks out uh data sources that satisfy the demands of their model so data available for acquisition will likely vary substantially in uh completeness depth relevance due to unaddressed factors at the data creation stage so in here uh uh in the data collect uh stage so uh they're actually thinking about the legal and reg regulatory mandates such as Hippa if you're are not familiar with HIPPA in us this is like health insurance Privacy Act that protect the protect or Safeguard the you know the information or uh of the of anyone uh the patient especially so um yeah next is the model development so uh in this process uh developing AI models requires a clear definition of the problem or the or question the AI algorithm is tasked to address the model end user and the model beneficiary so the problem that the algorithm seeks to address should not be biased and there should be a feasible mitigating action the end user can make based on the model output in order to be useful for clinical care and um next is the last is the model evaluation so in this space the clinical AI algorithm is to uh is to understand how well it can perform its learned task in in a desired so uh however models are commonly evaluated only on measure of performance such as uh operating uh characteristic curve and a Au or area under the curve and limited evaluation can Mass the potential societal harms that the AI algorithm might cause to certain population once in the subsequent deployment pace so this is like some of the limitation of the AI so that's why you know uh nursing nursing have uh need to be involved in you know in like involved consistently while this AI because it it cannot be perfect you know this AI are made by human so there's always going to be like you know I mean like a mistake or some like like error that can occur that and can especially can cause harm to to our patient and uh as part of like uh as a nurse we need to like you monitor it you know assess if it's like beneficial to the patient so you you know you you just we need just need to uh use our nursing judgment and critical assessment of course because a I can tell you something but you know as you assess the patient it I mean it's different uh it's saying different things like it's really not you know what the AI is saying so um next uh next slide so this is the type of AI relevance in healcare system um so uh so this uh relevance uh in healthcare system uh this is the techniques works together to develop system that can under undertake complex activities such as problem solving recognizing pattern in data understanding and responding to human language interpreting visual information decision making performing physical tasks so first we have the natural uh language processing so natural language processing facilitates the interaction between computers and human language and then we have uh machine learning machine learning enable system to improve their performance on a task through Expo exposure to uh the data so as you can see you know machine learning it means like this is like collection or a store a collection of Knowledge from uh from the past that's uh that store and the AI I just like maximizing this like stock knowledge that's stored um we have uh rule based expert and then actually the physical robots the physical robots couple of years ago in my institution actually and until now we're we're still using this robot before it we uh we just used this to like uh bring medication to you know to the patient room those stuff and bring food but right now it's more like you know like interactive and um and then the robotic process automation of course yeah which is I'm talking about all right so application of AI into clinical practice so first you know I just want to like discuss you know what's the American Nurses Association statement for the AI use or artificial intelligence use so the for uh American Nurses Association uh uh stated in their purpose that it's uh the nurses to provide uh with the ethical guidelines guide guidance on the use of artificial intelligence or AI in the healthcare AI is a bro category that involves using algorithms this is what I'm saying you know it's uh it's composed of multiple algorithms multiple algorithms to resolve the problem uh make a decision bridge the gap identify the loophole but we cannot rely everything to AI of course you know we need to like check you know its efficacy effectivity and um what else so AI a broad category that involves using algorithm to drive the behavior of Agents such as software programs machine robots robotic games and other Hardware devices AI in the healthcare encompasses a wide range of existing emerging and future Technologies intended to assist Nur uh nurses in caring for their patient data including uh big uh data is an uh important aspect of AI because it's ethical use uh influences how AI function and does how it affects patients as uh new AI Technologies continue to emerge nurses must have guidance on ethical ethical caring in uh compassionate and safe use of AI in the healthare so um like I told everyone you know in a nursing profession uh as the this AI dominate the health care you know the the constantly evolving Healthcare landscape we need to like we need to be involved in you know as as the AI grows in the healthare we need to make sure that our patient is safe while utilizing this artificial intelligence and of course uh we we just need to like make sure that it's more uh been uh we will we uh I mean we it's going to give more benefits to us than causing harm to the patient um so dispos uh disposition statement provides practical examples of AI in nursing and addresses ethical consideration by using a systematic approach based on core uh and literature to analyze appropriate of AI application in practices so this algorithm is composed of like this evidence-based practice so this AI will like collect all this data that been stored and it's it's going to show uh or it's going to provide a a a path or a solution how to like resolve a problem but of course you know as as a nurse or uh whatever position you have you know nursing leader or anything we just need to make sure that it's safe and of course you know efficient and provide you know the best or op you know the best care that we can give to our patient so uh the next is the state the statement of American Nurses Association so nursing values and ethics described in the code of ethics for the nurses with interpretative statement Place caring and compassion as as a central elements in the nurse patient relationship so we cannot rely everything in the AI the nurse patient relationship should be always be there an Ana believes that appropriate use of AI in nursing practice supports and enhances the core values and ethical obligation of the profession here you know we can integrate AI but the the nursing care or you the part nursing care that we like uh do as a nurse it's uh it should be like you know it should be like we still need to practice it we cannot rely like everything even AI we have we started like you know giving like uh you know it's actually uh embedded in like the you know the the program in uh in in my institution like you know an AI to like give Health teaching or health education to the patient but we still need to like follow up those stuff you because some of them are not applicable each individual is unique based on their needs so it's just giving like general information about like nutrition like exercise which is sometimes is really not applicable to the patient um so nurses must ensure that Advanced Technologies do not compromise the nature of human interaction and relationship Central to the nursing profession and it's crucial that nurses anticipate and evaluates the impact of AI in healthcare through a proactive approach that emphasizes uh agency caring and influence over how technology is developed and applied nurse must be informed about AI so they can provide uh appropriate education to the patient and families to dispel meats and Elevate fear and thereby support the use of AI for Optimal Health outcomes especially you know I'm I'm working in New York which is so diverse we have a lot of different you know people from different country so cultural nursing is one of the you know the issue here some of the patient they're like computer illiterate they don't even know how to use phone some of them they cannot even you know like talk English you know language barrier so we need to like we need to as a nurse we need to serve as a navigator or facilitator to educate you know and advocate for the patient you know so we need to like uh we need to guide them on how to like utilize AI to to give the optimal outcome that or Optimal Care that they need um so um so application of AI into clinical practice first screening and preventative care um management so here in screening you know AI can act uh can improve quality access and efficiency and healthcare for appropriate age like screening test so patient patient or family can actually uh use this uh we have a lot of AI right now even an apps we have chat GPT they can just down uh download it in like the their iPhone or smartphone so it can give like the you the appropriate age screening test like the the mamogram the popm when to get it like the vaccine all this stuff it's uh they just need to like ask the AI or just type in there and um even in Google you know it's it's even AI operated now and some organization yeah they use uh like AI they embedded it in their the program and then it's you more like giving more uh education to the patient like uh like this screening tests you know or preventative care management so AI powered tool to detect uh so you know there's also I I'm reading this article article it's actually in California one of the like biggest Hospital there so they using AI power tool to detect a rare disease so like when I'm reading this it's you know the it also composed of algorithm so there's like millions of algorithm there I don't even know if it's million so they they can detect like rare disease uh like maple syrup urine syndrome it's a actually a rare metabolic syndrome that body can that that body cannot break down branch of amino acid and uh also visual snow syndrome I don't even hear these diseases it's a rare neur neurological disorder can cause that can cause visual dist disturbance of the entire field and you know what interesting is that it also can you know like uh detect po poror pyria it's a rare disease to build up chemical in RBC so you know for Pia as I'm I'm working as a nurse practitioner uh in Hematology Oncology so aside from cancer patient I'm also seeing patient with like autoimmune disease and some rare like uh hemat hematologic Disorder so I have one case of this this is like you know one in a million cases so it's very interesting very interesting and and then we also use um what what you call this uh genetic testing like the you know the next uh nextg sequencing you know to identify like like cancer mutation you know braa 1 braa 2 mutation for the breast cancer patient and some and also for the autoimmune diseases so this uh like uh genetic testing like AI assisted uh genetic testing actually it's it's so helpful as a nurse practitioner working in like cancer patient that cancer population because it can like give you you know uh more treatment if you if they failed with the first line you it can give like the second line treatment and and you can add some like bi uh biologic agent to Target a certain like cancer cell and of course you know it increased the the the survival rate of the patient next is risk assessment um it's one of the like the application risk assessment so it calculate the you know uh comorbidities like you know the diabetes you know their risk of getting the diabetes you know CAD those stuff you know the risk stratifications then nursing assessment and documentation um so actually it's usually embedded in the you know organization it's per organization program some some of them like it's already like embedded there and then you just need to like uh you know choose the appro appropriate like uh documentation or like uh measure you know uh for the patient and also the planning of care tele medicine and remote monitoring so I've been like utilizing this a lot you know the tele medicine and remote monitoring but if I'm going to like see an AI in Tel medicine I I need to see a real like like provider you know it's either like a doctor a nurse practitioner or physician assistant not an AI to like check me during tele medicine because it can be like something you know I mean it's just like scary you know for not for me you know just uh uh doing tele medicine with an AI and uh of so differential diagnosis this is the uh the one that I'm talking about the AI algorithm so I I have this chat gbt this is very interesting so I used this to like one of my colleagues there he's also uh she's also a nurse practitioner so I took a picture of she got some like rushes or some I don't know you know in her like uh in her body so I take a picture so I I took I took a picture and then after that it gave me like a differential like 20 differential diagnosis of that particular you know rushes so it's good it it cannot give you definitive diagnosis or final diagnosis but it can like give you what's happening you know it's just serve as a guide you know like what's uh like related condition are related to that like particular rush and of course treatment management so treatment management for the treatment management um we've been like a lot here in uh United States right now like even just a small uh I mean like a simple chess x-ray it's a AI assisted so even though it's AI assisted the the good thing is that the rology need still need to sign in the paper and then verify that it's correct so that's the good thing because we can like like I'm telling to everyone we cannot like rely just to AI so the the Radiology is the doctor still need to like you know review it make sure that it's right and then you know sign the paper and yeah we have also the Pet City assisted and the city scan those stuff you know in the Pet City so recently it can detect the Pet City assisted AI it can now detect six different type of cancer so I guess it's more efficient you know more more like it's expensive I'm sure you know 100% it's expensive but you know it's it's more like efficient you know time saving uh probably we can save a lot a lot of lives using AI but like I'm telling you know uh we cannot rely everything to AI we still need the you know the provider the the Manpower the you know the one that's like doing the critical thinking just to make sure that it's safe for uh for the patient and then yeah uh next is Administrative efficiency so admin administrative efficiency actually in my workplace right now we've been using AI to like to do scheduling so um I'm working in like an outpatient setting so we have like infusion Suite so it's an AP chair Suite um so this AI um like calculate you know calculate the the acity of like each patient so the nurse the the charge nurse just need to like uh you know set it up and it's going to give like the following day assignment like you know each because each nurse they need to like assign certain like uh nurse to Patient ratio which is really good but yeah it's good but recently you know I've heard that you know some of them is you know I mean it it really depends you know some of them are complaining like there's like uh you know like a problem you know like it's not accurate uh some of some of the patient is like really like the acity change you know during that time you cannot tell because this AI just pull out the information based on like what medication or what chemotherapy the patient is getting you know the diagnosis but you know anything can happen happen in that moment the patient can like crash the patient can like code we don't know and then of course clinical trial uh clinical trial this is a major one right now you know the drug Discovery and development as the you know Healthcare landscape uh uh change so we need to like you know speed up everything we need new medication especially for cancer patient not only for I'm sorry for everyone so you know I'm working in a cancer you know uh population so yeah we need like new drugs we need to like you know like uh you know cure you know a lot of cancer and prolong life and then um transcribing medical documents all right so identify the benefit of artificial intelligence so first is provide real time data yeah so provide it really provide a real-time data because uh AI can capture the the what's happening in like the real time so this data will store and then later on can be used as one of the algorithm and then Advanced uh data management yeah I already discussed this you know multiple algorithm which very important and Bridging the gaps also of course AI will like identify the the the loophole the the problem and then once it's identified uh you know it will come out with the with the best algor algorithm and actually as a nurse we can like either implement it if it's like appropriate to the patient or or we can like you know like um modified it based on what's the the patient needs that's supposedly the one that we're we've been doing as we utilize the AI then next is time saving efficiency yeah I guess this is the major one then uh bet better accessibility yeah it's better accessibility for for the like healthcare workers and uh and of course for the patient but you know we we we also need to like consider those like in like underserved population those like uh with computer literacy you know health literacy yeah those those uh those people and the minority groups and optimize patient care and management of course you know it's going to give the best algorithm uh for like the patient care and what what the best treatment for the patient and reduce medication error yeah this is big one too uh in United stat uh a lot of people died because of medication error so this uh medication error can like store in a like a database and then later on can like uh use as uh algorithm and AI can like utilize this and then reduce Healthcare cost yeah this is Major one you know of course you know uh it seem uh like time it save you know a lot of like unnecessary testing like if the patient don't need pet scan or like uh you know those expensive IM Imaging or like you know treatment like chemotherapy you know it's so expensive so it's going to be uh G uh give what's the like the best uh or appropriate treatment to the patient but of course you know just additional of that you know even if we use AI to especially me working in a cancer population we have uh you know I followed like a certain guidelines we have like the you know the nccn or the you know uh National Cancer Center you know Network it's a guidelines that provide like certain regimen for like a a patient care so I still read those stuff yeah like I told you everyone we cannot realiz to AI you know it need to be when when uh the first time I use the AI it don't even give me references it just give me the answer but some of the answer is right probably 70% but it don't give reference it can be you know it can be someone just wrote it it can be uh like a homeless guy you know outside or somebody else coming from uh Wikipedia we don't know but uh later on probably you know as AI is dominating the healthcare you know it's going to be more like refined it's more like uh you know evidence-based and uh next is the limitation and disadvantage of artificial intelligence so lack lack of findings and effective Effectiveness in real world scenario this is what I'm talking about so it's lack of evidence-based you know as a nurse we we utilize evidence-based proc practice we don't just rely on like what what is not like appropriate or what's not you know what we it should be evidence-based you it once it said evidence-based so it went to like a like uh a trial you know like probably like uh randomiz clinical trial level one you know study and um next is risk of patient uh data Privacy Information so this is like the the major one risk of patient data uh privacy and information security so using AI we we're not sure if our information is secure you know like it can be used to anything so they can someone someone can like use your information to like uh like give it into like a drug company and then they can like you know experiment the the data or for example you you have blood works you donated we here in us we we we love blood works like we we keep the blood Works some of them uh you know we use that for like uh like clinical trial and some of them you you can actually ex extract a DNA from a a blood work or blood yeah blood work especially you know if you're collecting a a bone Mar uh sample to a cancer patient it's just store those DNA is so valuable that later on can use to like you know uh used to like create a new medication or a new treatment so we don't know this stuff so this is the big one you know the the patients data privacy next is a bias or misdiagnosis and wrong treatment yeah this is another one so misdiagnosis this is uh you know like I'm I've been discussing like we cannot uh rely everything to AI we still need to you know because if we rely to AI we should just you know so there should be shouldn't be like like a doctor or nurse practitioner or physician it's just like AI based uh you know Healthcare so the thing is that you know we can integrate AI for efficiency but you know the we still need to use our critical thinking nursing skills our basic assessment skills and uh of course it's high cost and then Healthcare healthcare provider providers AI dependency yeah so this is the the you know you you don't want to work you just want your salary you know you just like depend everything to Ai and then um so one thing also that uh I guess the disadvantage of the AI probably in couple of years uh there's going to be like you know the some of the like the healthcare workers like like the you know like medical assistant or like educator they can like uh you know probably reduce those uh like worker and then just change it to AI but even though they do that uh later on in the future they can still you know I mean we still need the healthcare worker to like monitor this you know so one of the like the emerging uh specialty right now is the nurse inform informaticist so yeah you know they're going to be like a lot soon just this to system next is the eming emerging regulatory issues dilemas and concern yeah of course you know uh there's a lot of stuff with this uh regulatory issues so in us um so per state there's like a lot of you know rules Board of Nursing is different from state to state and especially you know if you're working in like a you know uh in oncology and they're then they're going to transition to paliative care and then hospice so there's a lot of like Like rules or like law and cyy cyber security R this is this is big uh issue to the cyber cyber security RIS uh hacker can actually you know like hack like the information from the organization and use it you know especially if it's like a VIP uh patient you know like the president of America you know those stuff and and you know they can use this to like for everything you know just to like uh you to get money and uh you know cause harm to the patient next so ethical consideration of using AI in the clinical practice um Health Healthcare justice so fairness equity and consideration so this is like the uh so we we as a nurse we need to check this you know hellare Justice Means like we need to fair you know like to everyone uh like like the minority group they they need to have uh we need to like advocate for them those underserved population how can they use AI how how we we cannot just tell that oh you know uh probably the one living in like the city uh and have access to like a phone or like technology there's the one only like utilizing it but you know uh we need to like like bridge the gap on how to utilize this to you know to underserve population as well and yeah Equity consideration as and then consistent ongoing and rigorous nursing re research of AI integration in healthcare yeah so nurses or or uh in nursing profession we need to get like involved in uh this rigorous uh research on how will we like utilize AI in uh in healthcare that you know that's is is more beneficial to the patient to the workflow Y and then uh potential of ethical harms might might arise of course yeah and then Healthcare current laws are not enough to protect patient health information and uh data so like I you know like I told you uh some State here you know different law you know Board of Nursing the medical board uh it varies state to state so they need to probably as AI integrates in the in the hcare system in uh in the globe or uh here in the US so probably they need to streamline you know what's the the the law for uh how to protect the you know the the information of the patient and then uh collected Healthcare data can be hacked for malicious purposes yeah this is true and then some social networks gather and store individuals information without consent this is you know this has been happening like you know some someone some your information can be used by someone else without your consent and then yeah genetic testing in bioin uh bioinformatics companies sell customer data to form pharmaceutical companies like you're like like if you're like a cancer patient they can sell your bone marrow sample to another companies and extract data there so this is like the you know the ethical consideration how as a nurse how can we like like protect our patient from this uh you know like uh ethical issue or dilemma well you know right now there's a lot of like ethical consider uh like ethical issue dilemma but later on probably we're GNA like it's going to be more refined we can we we come out with some uh like or we can bridge the gap you know with the loophole of using AI I and like iPhone you know we started in iPhone 1 you know iPhone one you know you can just like do basic stuff right now I got my you know I recently got my iPhone 16 it's more fancy like you know you can do a lot of stuff but you actually I'm just using my like my text message text messages or just call but it's like you know they're saying that it's uh Apple intelligence uh in the next iOS they you just take a picture of uh like an object and it's going to give you some information all right so art artificial intelligence to deliver holistic care yeah facilitate whole person care and as unique individual so as we integrate AI of course you know patient patient to nurse or provider relationship should still exist okay AI is just a tool it's not like a separate ID uh you know identity that we can just like you know rely everything there so we use this to like optimize patient care give the best possible outcome you know I work in cancer population of course you know I want my my patient to you know to increase the survival rate you know to get uh uh like new create new medication or chemotherapy biotherapy uh those uh uh medication and next is integrating AI for nutrition and wellness so I have this app in my you know uh my my phone you know it's about the like nutrition and like the the diet so what good uh good thing here you take a picture of the food and then is calculate the you know the kilo calories so you're going to be aware of how much food is how many kilo calories of it if you're like uh so to your like your weight or you're doing weight loss those stuff and then um of course wellness and then um promote physical health yeah it it's promote physical health it can uh like you know give uh health education Health teaching to like how to avoid you know uh diabetes you know diabetes prevention hypertension and uh next integration of AI to psychological Health yeah this is a major uh thing too like the psych psychological Health especially you know uh during pandemic so you know one of the like when I discuss the timeline there's actually one of like the the the you know the robot there or like uh interface that can like like mimic you know uh the emotional uh aspect of uh a person I guess this is beneficial if you you know we especially during pandemic you know depression is hard to like diagnose you know you cannot tell if the uh if someone is depressed by just looking at the at them you know yeah sometimes you know they're smiling but uh the next thing you know they're already like you know jump in the bridge you know uh jump in the in the building yeah we cannot tell so I guess uh psychological Health you know even though they don't have like means of like talking to someone or probably they're like introvert you know they they don't want to talk with anyone else you know I guess this like a like a media or like a a way of like how they can like Express themsel to like Elevate the you know the birst of emotion yeah this is big thing like the psy psychological Health like Psych ological health is same as physical health so if you're not you're psychological ill so it's the same thing like when you're sick and uh social and environmental health of course you know uh environmental health you know uh means you know checking of the surroundings especially for the Elder you know fragile Elder and uh for the Pediatric population it's give like uh like safety precaution uh those stuff all right next is um so I just want to add about the you know the the wait a minute so I just want to add about in the you know regulatory consideration yeah Ana so uh stated that it's essential for the nurses to be part of the in disciplinary effort to advocate for an AI governance framework and develop ratory guidelines that hold AI so right now in like I told like I told you you know the emerging uh one of the emerging specialty of the nurses in United States is the nurse informaticist so I guess nurse need to be involved really with this you know even you're not in nurse informaticist you need to be if you're a nursing leader or a nurse everyone across the board need to get involved with the AI we need to report like what's if we utilize AI we need to report the harm it caused even if it's small so they can correct the you know the the the harm or like the error so it can be refined later on so develop of develop regulatory guidelines that hold AI advanced technology developers morally accountable for producing e uh ethical a helps to achieve the nurse duty to minimize to or avoid harm So it's talking about more on uh the safety of the patient and uh and any ethical analysis of an AI by Healthcare governing bodies must consider how poten potential ethical harms Arise at different levels of analysis and different stages of algorithm algorithm life cycle so that's why we need to report if it even it's small uh like incident of harm we need to like uh we need to get involved we need to document it those documentation is so important you know doing nurses note this is important you know AI can extract this like simple mistake and like uh put it in uh like create an algorithm with it and then uh nurse researcher or nurse informaticist or nurse uh e ethicist can be valuable contributor to uh to these governing bodies but it doesn't matter you know uh I guess everyone in healthcare across Healthcare you know need to get involved with the with the AI so what the nurse should do nurses should be part of the Drafting and implementation of policy legislation and account accountability system of ethical design and practical use of AI nurse must continue to contribute research to develop best practice Yeah so we need we need a lot of study we need researches about AI you know utilizing AI what what aside from like you know Healthcare is a big system okay it's it doesn't mean Healthcare System is just Hospital you know it can be like a community it can be like you know in the Philippines it can be like a you know bangai Health Center or like a small you know Private Practice here you know in uh in us so we need to like find out if if it's like applicable to like if it's applicable to hospital if it can use to like a small like organization even in like uh you know don't for don't even forget the you know like the the vulnerable population like you know uh the prisoner those stuff okay they they're vulnerable population so how can we utilize the health of prisoner uh using Ai and and aside from the you know prisoner of course pregnant patient and uh those with like uh you know men mentally you know challenged uh patient those are vulnerable population uh nurse leader implementing AI in healthcare organization must put put a forth measure that ensure responsibility and accountability for the safe yeah at the end of the day yeah using AI it's more about safety safety in terms of not harming the patient safety in terms of protecting the patients uh uh information not using it to like you know uh use it to uh you know misuse it to you know another and uh and can cause like uh you know more damages to the patients uh morale and um yeah so next strategies on integrating AI to promote holistic care so provide first provide transparency throughout out the process yeah so transparency means like we need to like we we need to report everything we need to report you know all the the flaws of the uh while we using AI small medium or whatever you know it cause that causing you know harm to the patient because this this data later on can use to like improve the AI and um responsible for scientific rigor in ensuring reliability and ensure the validity of AI processes in ongoing evaluation this is uh one of the you know major role of the the nurses ensure the validity means that you know you cannot like you know see a patient and then tell the patient use this uh you know AI is going to give you education you need to like check what's the AI is saying to the patient it can it it can tell something else which is not applic applicable to the patient so this is like the validity and you know the process you so you need to report it and this is ongoing evaluation it cannot be per perfect there's always some improvement every single minute or single day um recognizes disparities in AI programs and outputs yeah you uh yeah as we like uh as AI dominates the Healthcare System you know we're going to identify this as a nurse we need to identify the disparities and you know uh do a lot of research like you know evidence-based research and uh integrate this as we uh integrate AI next is mitigating bias that can occur at individual level yeah indivi like like I've been discussing each individual is unique we you know what one shoe cannot fit uh to everyone else so everyone of us have uh you know has uh you know uh unique needs and AI is just giving a general information like you know for example like food or like physical health but you know which is not sometimes uh I mean it's not applicable to the patient knowledge and competency of the specific device so nursing is continuous learning as as uh as they change the AI and uh in in the healthcare system so we need to keep updated we need to like you know uh like even you know just watch YouTube or podcast you there's always something you know uh or in the internet there's always like new about AI or artificial intelligence uh prevent uh Health disparities uh involvement in uh involvement in policy legislation and accountability yeah as a nursing as a nurse nurse leader informaticist we need we need to like this is constantly changing you know the policy legislation yeah we need to get involved with this and uh ensure responsibility in the of course you know we always like do this you know all right so just additional with the you know uh with the topic as a summary you know integration of AI in practice must not alter the goals of patient care so compassion trust in caring are foundational principle in the nurse patient relationship this is what been you know taught during you know our our Bachelor you know when uh first year as a nurse as a nursing student p a nurse patient relationship we build we we build rapport we build trust to the patient we interact with the patient yeah to build you know to it create an healing environment that's what I'm you know that's what my uh my my my knowledge here the the the continual uh continually evolving Advanced Digital Technologies such as AI must be adapted or integrated into nursing practice Within These nursing and ethical care elements so that the nursing practice remains relevant in the changing landscape or the changing Healthcare landscape nurses within their respective domains need to be aware of how AI impact uh their nursing processes and their patient outcome s so we we really need a lot of like research studies about uh using AI how it's going to benefit to the patient care how we like can improve patient care uh within the public health research and informatic nursing an awareness of how population uh data or big data can easily overshadow minor minority Health needs this is this is what I'm pointing out we need to also so considered the you know the vulnerable population minority group while while we integrate the Ari in the Healthcare System we need to be uh the Navigator facilitator educator you know to bridge the gaps while we uh integrate or using this AI not only like you know the who's living in the city or in the uh urban area but of of course you know the the the minority population and the vulnerable population each nurse must consider how AI is integrated into their practice in be cognizant of ways it can help and hurt both individual and population Health outcomes so that's why we we need to monitor it continuously we need to do a lot of research we cannot rely everything to a we can integrate AI into the proc practice but we we still need we still need to like uh we still need to like monitor it continuously monitor it uh use use use AI as a guide as a guide to like uh you know empower the patient uh optimize care and bridge the gap in healthcare system all right so this is my references and um I hope you learn today uh next slide okay so this is my theme in my organization this is actually you know uh during pandemic yeah we're all using masks and yeah I just like uh like graduated with my nurse practitioner program here they gave me cake and uh yeah next all right yeah so yeah this is my favorite quotes okay remember this uh nurses loveb made Vis by khil okay lab made visible I look beyond the disease and see persons not patients in the people I [Music] serve all right well wow uh thank you so much uh Dr Aral for that very informative discussion and for keeping us up to date in terms of AI applied in our nursing practice in the USA and we are very certain that we have learned a lot from you today uh yeah thank you so much Dr Aral um despite of the symptoms after the flu shot you are still able to deliver your presentation professionally so at this time we will proceed and take some time for questions now so just a gentle reminder please be sure to type your questions into the chat box in your control PL panel okay so I think we have already uh like three questions so may I read the first question uh in your opinion what what part specifically will AI be effective or beneficial in patient centered care well for me you know I guess uh the the education one you know and uh yeah because it you know it provides like the general education about like health education it give it provides General uh sample you know what the patient needs uh you know to like uh prevent uh diseases to like uh you know screening purposes those stuff it guides the patient yeah I guess that's that's the only one that you know that's uh that's safest for me for now okay thank you doc Aral I think there is also one question from Zoom okay uh so this is the question what future developments in AI do you foresee impacting holistic care approaches well holistic care is a big term for for nursing okay so integration of we we still practice you know as a nurse we still practice holistic care as we integrate AI that's what that's what my thinking here yeah we cannot rely everything to uh like uh AI to provide holistic care we we need we need to do it as a nurse and integrate AI as we integrate AI okay doctor thank you so I think okay so I think uh this will be the last question for now so question from Watcher from YouTube so in what ways do you believe AI can improve communication with patients especially those with language barriers or hearing impairment well well yeah in uh actually a lot of organization in US yeah we we they have like the you know what they call this it's like a it's like a monitor you know you can bring it to like a patient and then uh it's like an interpreter phone you know with the AI so it actually you know give you know all the languages and even like the you know like sign language to like effectively communicate to the patient you know as a provider I'm seeing a a lot of patient you know one one big thing is I need to make sure that my patient understand you know in all my uh you know in all the on whatever what they getting you know they're getting their treatment you know I just make make sure to explain what's uh the S you know the side effect of the medication what they're what what's going to be expected you need to like you know tell this to the patient so one big uh word is communication yeah we have you know we've been utilizing that we have in uh like a a computer you know like uh you you just need to like bring it to the patient's room or we even use like a a a telephone you know you just dial like uh like a Pacific interpreter you know they they can interpret whatever you know whatever language and if it's a sign language it's via computer yeah also also and also we use like a real person you know they go to the patient yeah yeah okay uh I think we have covered all of our questions uh Dr oral is there anything else you wanted to cover before we get to the end of our webinar uh nothing but you know just remember nurses uh as we integrate AI in uh you uh like in uh constantly evolving Healthcare landscape we need to be you know this is the question is it a catalyst for holistic care or not so my my answer here is yeah it depends on how you use the AI you know it's a catalyst for holistic care if you're giving like the best you know like the best outcome while integrating AI to the patient but if you're going to be like AI uh dependent so that's going to be you know a different thing it's going to cause more harm yeah more you know unsafe uh it it will create an unsafe environment to the patient as part of their healing that's the answer for this okay okay thank you so much for that Dr Aral so again let's give a virtual hand to Dr Mark Jen Aral for our interest topic today so uh let's now proceed to giving the certificate to our resource speaker please allow me to read the citation in the certificate uh the Philippine Women's University School of Nursing hereby Awards this certificate of appreciation to Mark John Aral dnp APRN in grateful recognition of his significant ific an contribution as resource speaker during the webinar entitled AI in the modern era a catalyst for holistic care or not given this 19th day of October 2024 through this webinar signed webinar chair yours truly and Dean School of Nursing Dr Minerva B deala thanks thank you you're welcome doc right thank you Dr Aral so to give us the closing remarks of this program so let us all let us call on Miss shuali RN MSN distinguished guys is team the speaker Dr Mark and dear participants as we come to the close of today's webinar we would like to extend our heartful thanks to all of you for your participation and engagement we have explored inent 4 perspectives and practical approaches that we hope will inform and Inspire your work moving forward firstly we would especially like to express our sincere gratitude to speaker Dr Mark for sharing his expertise and providing such valuable contributions to today's discussion your knowledge has truly enriched our understanding of the modern AI in the holis St care as Dr Mark side the integration of AI in health care present immense potential for improving clinical outcomes and enhancing holistic patient care with AI Technologies offer numerous benefits such as realtime data management and optim optimized treatment plans they also pose challenges including ethical concerns and the potential data security risks as health care continues to evolve it is crucial for nurse and Health Care Professionals to balance the use of AI with a commitment to Patient uh centered care ensuring that technology complements rather than replaces the human T Health Care delivery and to our organizing team your hard work and the dedication behind the senses has made to this possible and we are grateful for your efforts before we conclude we encourage all participants to take the license learned today and apply them to your respect FS we hope that session has spared new ideas and fostered valuable connections that you can build upon additionally should you have any questions or need further clarification on any of the topics discussed today don't hesitate to reach out to us once again thank you for joining us wishing you all continued success in your adverse stay safe and take care thank you Miss Lee our beloved audience uh here is the QR code for our evaluation form so your certificate will base uh on your completed evaluation form so please answer them with all honesty thanks all right so uh may we request everyone to turn on their camera for our photo off okay everyone please start on your cameras and one two three smile another one one two three smile and another one one two three smile okay last stage one two three smile okay D for thank you okay uh before we formally end this webinar I would like to take this opportunity to acknowledge the presence of our beloved Dean Dean deala her faculty and students our professor Dr Mark Santos other Deans nurse administrators professional nurses and student nurses of other institutions around the globe thank you so much for joining us today also we would like to thank everyone who made this webinar possible I Clint toural and I am IO Diana kasalan see you next time God bless us all and please let us stay for a while for the pwu h [Music] sing [Music] praises all their graes all their call [Music] and my heart be true forever for the go of I shall [Music] to be we Le our we ever be of [Music] theing the for and [Music] wonder and whever we may R his M us [Music] of ever be May learn may we ever be the univ [Music] [Applause] [Music] [Music] [Music]