Question.1221 - Week Four Signature Assignment Preview!Please review the below Signature Assignment and write your assignment. Choose a current controversial legal/ethical topic in healthcare. Identify and write the legal and or ethical issue(s) relevant in the topic and relate it to one or more legal concepts you’ve learned in this course.All written assignment must be formatted in APA using a cover letter, page numbers, running head, and reference page. Student are required to complete this assignment in 8-10 pages paper and make sure to provide "your" legal or ethical opinion based on your research. This assignment is worth 100 points and due by Sunday at 11:59 p.m. (Pacific Time).Click on the "Week Four Signature Assignment" link above to submit your assignment, as well as to get more information regarding the due date and grading rubric.**Reminder!! Please remember that you should let the instructor know your signature assignment topic.**You will be submitting this assignment in Week Four under the "Week Four Signature Assignment" link.
Answer Below:
Week xxxx Signature xxxxxxxxxx Jonathan xxxxxxxxxxxxxxxx National xxxxxxxxxx HCA xxxxxxxxxx Law xxx Ethics xxxxxxxxx Mark xxxxxxx February xx Week xxxx Signature xxxxxxxxxx Topic xxxxxxxxx the xxxxxx of xxxxxxxxxx intelligence xx decision-making xxxx ethical xxx legal xxxxxxxxxxxxxx The xxxxxxxx conducted xx WHO xxxxxx the xxxxxxxxxxxxx revolution xx artificial xxxxxxxxxxxx tends xx have x detrimental xxxxxx on xxx reliance xx human xxxxxxxxxxxx in xxxxxxxxxxxxxxx within xxx field xx healthcare xxxxx Particularly xxx to xxx rapid xxxxxxxxxxxx in xxxxxxxxxx along xxxx integration xxxx the xxxxxx of xxxxxxxx human xxxxx and xxxxxxxxx the xxxxxxx accuracy xxx credibility xx the xxxxxxxxx made xxx the xxxxxxxxxx truth xxxx it xxxx operates xxxx the xxxx accessible xx it xxxxxxx there xx a xxx of xxxxxxxxx for xxx algorithm xx breach xxx limitations xx serve xxx purpose xxxxx draws xx several xxxxxxx challenges xxxx will xx discussed xxxxxxxxxx the xxxxx According xx Hobbs xxxxx experience xxxxxxx legal xxxxxxx since xxxxxxx saw xxxxxxxx hearings xxxxxxxxxx to xxx growth xxx infusion xx AI xx the xxxxxxxxxx sector xx order xx enact xxxxxxxxxxx Which xxxxx in xxx question xxxx - xxxxxx AI xx employed xx healthcare xxxxxx to xxxx decisions xxxx robust xxxxx and xxxxxxx framework xxx November xxxxxxxx session xxxxxxxx HELP x referred xx as xxxxxx Health xxxxxxxxx Labor xxx Pension xxx the xxxxx Energy xxx Commerce xxxxxxxxxxxx on xxxxxx since xxxxxxx hospitals xxxxxx the xxxxxx have xxxxxxx their xxxxx program xx reduce xxxxxxxxx paperwork xxxxxxxxx relying xx AI xxxx analytics xxx better xxxxxxxxx in xxxxxxxx to xxxxxxxxx illness xxxxx When xxxxxxxx with xxxxxxxxx usage xxxx of xxx possible xxxxxxxx are xxxxxxxxx vast xxxxx of xxxxxxx data xxxx the xxxx through xxxxx technology xxxxxxx dynamic xxxxxxxx that xxx beyond xxxxx capabilities xxxxx results xx more xxxxxxxx decision xxxxxx lower xxxx of xxxxxxx or xxxxxx higher xxxxx of xxxxxxxx and xxxxxxxxxxxx treatments xxxxxx lesser xxxx when xxxxxxxx to xxxxxx While xxxxx the xxxxxx Insurance xxxxxxxxxxx and xxxxxxxxxxxxxx Act xx HIPAA xxxxx are xxxxxxx laws xxxxxxx in xxxxx to xxxxxxxx the xxxxxxxxx of xxxxxxxx privacy xxxxx the xxxx of xxxxxxxxxx the xxxxxxxxxx efficiency xxxxxxx AI xxxxxxxxxx When xxxxxxxxxxx process xxxxxxxxxx AI xxx been xxxxxxxxxx in xxxxxxxxxxxx the xxxxxxxx through xxxxxxxxx resource xxxxxxxxxx and xxxxxxx effort xx staffing xxx equipment xxxxxxxxxxxx to xxxxxxxxx bias xx decision-making xxx instance xxx AB xx California xx introduced xx Schiavo xxx proposed xxxx the xxxxxx to xxxxxxx the xxxxxxxxxx services xxxxxxxxx health xxxxxxxxx from xxxxxxxxxx discriminative xxxxxxxx on xxx ground xx race xxxxxx national xxxxxx age xx disability xxxxxxx the xxxxxxxxxx with xxxx understanding xxxxxxxxxx like xx Georgia's xxxxxxxxx tend xx regulate xxx mitigate xxx employment xx AI xxxxxxxxxxxx in xxx assessments xxx in xxxxx states xxxx Illinois xxxx as xx allows xxx a xxxxxxxxx utilization xx AI xx diagnose xxxxxxxx Lexisnexis xxxxxxxxxxx an xxxxxxx standpoint xx terms xx assessing xx for xxxxxxxxxxxxxxx through xxx lens xx deontology xxxx if xx act xx itself xx within xxx moral xxxxxx wherein xxxxx has xxxx several xxxxxxxxx adaptions xxxx threaten xxx future xxxx the xxxxxx of xx but xx started xxxx the xxxxxxxxx of xxxxxxxx the xxxxx effort xxx led xx posing x threat xx human xxxxxxx with xxxxxx as xxxxxxxxxx basis xx understand xxx issue xx terms xx practicality xxxx is xxxxxx action xx rule xxxxx when xxxxxxxx to xxxxx circumstances xxxxx the xxxxxxxxx of xxxxxxxxx the xxxxxxx of xxxxx situation xx Immanuel xxxx believed xxxx any xxxx performed xxxx right xxxxxx based xx hypothetical xxx categorical xxxxxxxxxxx Although xxxx utilitarian xxx deontological xxxxxxxxxxx tend xxxxx different xxxxxx they'd xxxxx upon x common xxxxx - xxxx the xxxxxxxxxx sector xxxxxx operate xxxx safety xxxxxxx all xxx stakeholders xxxxxxxx that xxx incorporated xx but xxxxxxxxxx tends xx abide xxxxxxxxxxxxxxxxxxx wherein xxx underlying xxxxxx comes xxxx ethics xxxxxx as xxxx in xxxxx to xxxxxxx towards xxxx is xxxxxxxx to xx morally xxxxx or xxxx rather xxxx doing xxxxxx that xxx wrong xxx infusion xx AI xxxx the xxxxxxxxxx sector xxx more xxxxxxxxx to xx good xxxx to xxxxx havoc xxxxx it xxxx on xxx data xxxxxxxxxx to xx But xx practicality xxxxxxxx works xxxx utilitarianism xx discussed xxxxx are xxxxxxx enactments xxxxxx to xxxxxxxxxxx from xxxxxxxxx AI xx incorporating xxxx of xxx other xxxxxxxx - xxxxxxx Illinois's xx which xxxxxxx the xxxxxxxxx that xxxxxxx surgical xxxxxxxxxx and xxxxx identical xxxxxxxxxx defer xx human xxxxx judgement xxxxxxx on xxxxx expertise xxxx AI xxxxxxxxxx On xxx contrary xxx Jersey's xx outlaws xxxxxxxxxxxxxx by xxxxxxxxx an xxxxxxxxx decision xxxxxx by xxxxxxxxxxxxxx and xxxxxxxxx departments xxxxxxxxxx Now xxxxxxxxxxx the xxxxxxx theories xxxx folks xxxxx argue xxxxxxx the xxxxxxxx approach xxxxx by xxxxxxxxxx and xxxxxxxx for xxx benefits xxxx AI xx healthcare xxx bring xxxx a xxxxxxxxxxx standpoint xxxx may xxxxxxxxx the xxxxxxxxx positive xxxxxx on xxx majority xxxx as xxxxxxxx efficiency xxxxxxx errors xxx quicker xxxxxxxxxx In xxxxxxxxxx terms xxxxxxx pilot xxxxxxxx using xx for xxxxxxxxxxx in xxxxxxxxx have xxxxx promising xxxxxxx suggesting xxxx the xxxxxxxxxx benefits xxxxx outweigh xxxxxxxxxx privacy xxxxxxxx On xxx legal xxxx of xxxxxx counterarguments xxxxx question xxx need xxx extensive xxxxxxxxxxx Supporters xx a xxxx flexible xxxxxxxx could xxxxx that xxx rapid xxxx of xxxxxxxxxxxxx advancement xxxxxxxx adaptability xxxxxx than xxxxxxxxx rules xxxx may xxxxxxx concerns xxxx overly xxxxxxxxxxx regulations xxxxx impede xxx development xx valuable xx applications xx healthcare xxxxxxxxx areas xxxx telemedicine xxx access xx critical xxxxxxx information x concrete xxxxxxx of xxxx debate xxx be xxxx in xxx discussions xxxxxxxxxxx specific xxxxx legislations xxxx argue xxxx strict xxxxxxxxxxx proposed xx certain xxxx may xxxxxx the xxxxxxxx of xxxxxxxxxxxx or xxxxx access xx vital xxxxxxx information xxxxxxxx a xxxxxxx therefore xxxxxxx crucial xx crafting xxxxx frameworks xxxx acknowledge xxxxxxxxx benefits xxxxx addressing xxxxx ethical xxxxxxxx From x deontological xxxxxxxxxxx critics xxxxx contend xxxx a xxxxxxxxx adherence xx moral xxxxxx can xx inflexible xxx may xxx keep xx with xxx dynamic xxxxxx of xxxxxxxxxx and xxxxxxxxxx In x scenario xx emergency xxxxxxx immediate xxxxxxxxxxxxxxx is xxxxxxxx an xx system xxxx rigidly xxxxxxx deontological xxxxxxxxxx might xxxx challenges xx responding xxxxxxx and xxxxxxxx which xxxxxxxxx the xxxxxxxxxxx of xxx solution xxxxxxxxxxx the xxxxxxx between xxxxxxx privacy xxxxxxxxxxx that xxxxx to xx compromised xxx to xxx increased xxxxxxxx to xxxxxxxxxx and xxxxxxxxxxxxx as xxxxxxxx in xxxx like xxxxx and xxx potential xxxxxxxx of xxxxxxx anonymized xxxxxxxxxx data xxx research xxxx amp xxxxxxxx Finding x middle xxxxxx that xxxxxxx privacy xxxxx contributing xx medical xxxxxxxxxxxx is x delicate xxxxxxxxx act xxxx requires xxxxxxx consideration xx deontological xxxxxxxxxx in xxx context xx a xxxxxxx evolving xxxxxxxxxx landscape xx essence xxxxx ethical xxx legal xxxxxxxxxx are xxxxx guides xxx counterarguments xxxxxx the xxxxxxxxxx of xxxxxxxxxxxx and x nuanced xxxxxxxx It's x delicate xxxxx between xxxxxxxx ethical xxxxxxxxxxxxxx and xxx unnecessarily xxxxxxxxx the xxxxxxxxx benefits xxxx AI xxxxxxxxxxx can xxxxx to xxxxxxxxxx The xxxxxxx dialogue xxxxxxx different xxxxxxx perspectives xxx legal xxxxxxxxxxxxxx remains xxxxxxx for xxxxxxx a xxxxxxxx and xxxxxxxxx sound xxxxxxxx to xx implementation xx healthcare xxxx the xxxxxxxxxx of xxxxxxxxxxxxxx AI-powered xxxxxx screening xxxxxxxx that xxxxxxx vast xxxxxxxx to xxxxxxxx high-risk xxxxxxxxxxx which xxxxxxxx the xxxxxxxx by xxxxxxxxx cancer xxxxx even xx it xxxxxxxx collecting xxx analyzing xxxxxxxx data xxxxxxx explicit xxxxxxx from xxxxxxxx Individuals xxxxxxxxxx from xxxxxxxxxxxx groups xxxxx fear xxxxxxxxxxxxxx based xx AI xxxxxxxxxxx violating xxxxx right xx privacy xxx autonomy xxxx the xxxxxxxxxx of xxxxxxxxxx considering x scenario xx AI xxxxxx following xxxxxxxxxxxxx principles xxxxxxx to xxxxxxx anonymized xxxxxxx data xxx research xxxxxxx potential xxxxxxxx for xxxxxx treatments xxxxxxxxxxxx individual xxxxxxx with x possible xxxxxxxxxx the xxxxx adherence xxxxx hinder xxxxxxx progress xxx violate xxx duty xx do xxxx principle xx critical xxxxxxxxxx Lexisnexis xx terms xx justice xxxxxxxxxxx a xxxxx case xxxxxxxxxx AB xxxxxxxxx healthcare xxxxxxxxxx from xxxxxxxxxxxxxx based xx protected xxxxxxxxxxxxxxx that xxxxxxx bias xxxxxxxx but xxxxxx questions xxxxx defining xxx detecting xxxx in xxxxxxx algorithms xxxxxxxxxx While xxxxxxxxxxx ethical xxxxxxxxxxxxxx ensuring xxxxxxxxx access xx AI-powered xxxxxxxxxx requires xxxxxxxxxx affordability xxxxxxxxxxxx disparities xxx potential xxxxxxx literacy xxxx In xxxxx of xxxxx aspects xx data xxxxxxx applying xxxxx to xxxxxxxxxx data xxxx for xx training xx complex xx anonymization xxxxxxxxxx may xxx be xxxxxxxxx Gabriel xxxxxxxxx patient xxxxxxx with xxx potential xxxxxxxx of xxxxxxxxxxx research xx healthcare xxxxxxx an xxxxxxx discussion xx terms xx liability xxxx raises x question xxx is xxxxxx in xxxxx of xxxxxxxxxx misdiagnosis xx it xxx manufacturer xxxxxxxxxx provider xx the xxxxxxxxx itself xxx EU xxxxxxx Data xxxxxxxxxx Regulation xxxx and xxxxxxx US xxxxxxxxx attempt xx address xxxxxxxxx concerns xxx AI xxxxxxx Chen xx al xxxxxxxxxxx intellectual xxxxxxxx for xxxxxxxxx who xxxx the xxxx generated xx AI xxxxxxxxxx systems xxxxxxxx developers xx healthcare xxxxxxxxxxxx This xxxxxxx patient xxxxxx and xxxxxx to xxxx for xxxxxxxx while xxxxxxxxxxxxx ownership xxxxxx and xxxx trusts xxx being xxxxxxxx to xxxxxxx these xxxxxx Some xx the xxxxxxxxxx examples xxxxxxx AI-powered xxxxxxxx for xxxxxx health xxxxxxx Although xxx pilot xxxxxxxxxxxx seems xx be xxxxxxx smoothly xxxx benefits xxxxxxxxx accessibility xxx anonymity xxxxxxx concerns xxxxx regarding xxxx privacy xxx the xxxxxxxxxxx of xx in xxxxxxxxx complex xxxxxxxxx support xxxxxxxxx drug xxxxxxxxx harboring x promise xxx faster xxxxxxxxxxx of xxx medications xxx raises xxxxxxxx about xxxxxxxxxxx bias xxx potential xxxxxxxxx of xxxxxxxx between xxxxxxxxxx and xxxxxxxxxxxxxx companies xxxxx it xxxxxx on xxx data xxxxxxxxxx to xx the xxxxxx ran xxxxxxx the xxxxxxxx system xxxxxx the xx judgments xxxx biased xxxxxxx black xxxxxx while xxxxxx judgment xxxx et xx Discussing xxxxxxxx ways xx combat xxxxxxxxxxx bias xxxxxxx a xxxxxxxx where xx AI xxxxxxxxx for xxxxxxxxxxxxxx risk xxxxxxxxxx disproportionately xxxxxxxxxxxx Black xxxxxxxx Timmons xx al xx response xxx and xxx American xxxxxxx of xxxxxxxxxx ACC xxxxxxxxx to xxxxxxx a xxxxxxxxx algorithm xxx et xx Through xxxxxxx lens xxxx initiative xxxxxx with xxx principle xx justice xx addressing xxxx against xxxxxxxxxxxx groups xxx ensuring xxxxxxxxx healthcare xxxxxx While xxxxxxxxxxxxxx might xxxxxxxxxx the xxxxxxx benefit xx early xxxxxxxxx it's xxxxxxx to xxxxx individual xxxxx and xxxxx perpetuating xxxxxxxx inequities xxx et xx From x deontological xxxxxx the xxxxxxxxxxx adheres xx ethical xxxxxxxxxx of xxxxxxxxxxxxxxxxxx and xxxxxxxxxxx development xxxxxxxxx deontological xxxxxx It xx also xxxxxxx important xx safeguard xxxx privacy xxx instance xxxxxxxx a xxxxx hospital xxxxxxxxxxxx federated xxxxxxxx where xxxxxxx learning xxxxxx train xx decentralized xxxxxxx data xxxxxx each xxxxxxxxxxx without xxxxxxx individual xxxxxxx Icheku xxxx federated xxxxxxxx prioritizes xxxxxxx by xxxxxxx patient xxxx within xxxxxxxxx respecting xxxxxxxxxx autonomy xxx informed xxxxxxx while xxxxxxxxxxxxxx might xxxxxxxx for xxxxxxxxxxx data xxxxxx for xxxxxxx benefits xxxxxxxxxx data xxxxxx remain xxxxxxxxx Boch xx al xxxx approach xxxxxxx the xxxxxxxxxxxxx principle xx protecting xxxxxxx autonomy xx minimizing xxxxxxxxxxxx risks xxxxxxxxx openness xxx collaboration xxx instance xxxxxxxxxxx like xxxxxxxxx promote xxxxxxxxxxx tools xxx datasets xxx collaborative xx development xx healthcare xxxxxx et xx Open-source xxxxxxxxxxx removes xxxxxxxx to xxxxxxxxxxxxx potentially xxxxxxxx diverse xxxxxxxxxxx to xxxxxxx from xxx contribute xx AI xxxxxxxxxxxx aligning xxxx the xxxxxxxxx of xxxxxxx By xxxxxxxxxx collective xxxxxxxxx and xxxxxxxxx transparency xxxxxxxxxxx approaches xxx to xxxxxxxx societal xxxx reflecting xxxxxxxxxxx values xxxxxxx example xxxxxxx an xx system xxxx diagnoses xxxx cancer xxx cannot xxxxxxx its xxxxxxxxx Chanda xx al xxx initiatives xxxxxxx systems xxxx can xxxxxxx explain xxxxx predictions xx both xxxxxxx and xxxxxxxx XAI xxxxxxxx transparency xxx accountability xxxxxxxxxx medical xxxxxxxxxxxxx to xxxxxxxxxx AI xxxxxxxxx and xxxxxx they xxxxx with xxxxxxx principles xxxxxxxxx informed xxxxxxx and xxxxxxx autonomy xx exposing xxxxxxxx biases xxxxxx the xxxxxx XAI xxxxx mitigate xxxxxxxx about xxxxx box xxxxxxxxxx and xxxxxxx trust xxxxxxxx with xxx principle xx justice xxxxxx et xx Lastly xxxxxxxxxxx multi-stakeholder xxxxxxxxxx with xxx intent xx ethical xxxxxx the xxxxx for xx in xxxxxxxxxx comprising xxxxxxx stakeholders xxxx doctors xxxxxxxx ethicists xxx legal xxxxxxx Multi-stakeholder xxxxxxxxxx ensures xxxxxxx perspectives xxx values xxx considered xxxx increased xxxxxxxxxxxxx to xxxxxxx for xxxxxx incorporation xx AI xxxx move xxxx promotes xxxxxxxx and xxxxxxxxxxx in xxxxx of xxxxxxxxxxx and xxxxxxxxxxxxxx of xxxxxxxxx system xxxx lesser xxxxx error xx healthcare xxxxxx embodying xxx principle xx justice xxxxxx et xx By xxxxxxxxx oversight xxx guidance xxxx boards xxxxxx ethical xxxxxxxxxx and xxxxxxxxxxxxxx reflecting xxxxxxxxxxxxx values xxxxxxxx solutions xxxxxxx seek xxxxxxxx from xxxxxxxxxxxx legal xxxxxxxx and xxxxxxxxxx professionals xxxxxxxx in xx development xxx implementation xxxxxxx multi-stakeholder xxxxxxxxxxxxxx to xxxxxxx ethical xxxxxxxxxx and xxxxxxxxxx frameworks xxx responsible xx use xx healthcare xxxxxxxx for xxxxxxxxxxxx in xx algorithms xxxxxxx development xxxxx and xxxxxxx monitoring xxx potential xxxxxx Implement xxxxxxxxxxxxxxxxx technologies xxx anonymization xxxxxxxxxx that xxxxxxx data xxxxxxx with xxxxxxxxxx rights xxxxxxxxxx Boch x Ryan x Kriebitz x Amugongo x M xxx L xxx C xxxxxx the xxxxx flesh xxxxxxxxxxxxx the xxxxxxxxxxxx between xxxxxxx ai xxxxxx for xxxxxxxx in xxxxxxxxxx Robotics xxxxxx T xxxxxx K xxxxxxxxxxxx S xxxxxx T x Garcia x N xxxx C xxx Brinker x J xxxxxxxxxxxxxxxxxx explainable xx enhances xxxxx and xxxxxxxxxx in xxxxxxxxxx melanoma xxxxxx Communications xxxx W xxxx C xxxx L xxxxx S xxx Chen x The xxxxxxxxxxx of xxxxxxxxxx Intelligence xxxxxxxxxxx G xxxxxxxxxxxxxxx Receptor xxxxxx Discovery xxxxxxxxxxx Dove x S xxx Phillips x Privacy xxx data xxxxxxx policies xxx medical xxxx a xxxxxxxxxxx perspective xxxxxxx data xxxxxxx handbook x Fan x Meng x Meng x Wu x amp xxx L xxxxxxxxxxx characterization xxxxxxxx the xxxxxxxxxxxxxx of xxxxx lung xxxxxx in xxxxxxxx with xxxx A xxxxx aortic xxxxxxxxxx Frontiers xx Molecular xxxxxxxxxxx Gabriel x T xxxx Privacy xxx Ethical xxxxxx in xxxxxxxxxx Health xxxx Data xxxxx Artificial xxxxxxxxxxxx Among xxxxxx Workers xxxxxxxx dissertation xxxxxx for xxxxxxxxx and xxxxxxxx Hobbs x November xxxxxxxxxx Intelligence xxx Health xxxx State xxxxxxx and xxxxx Update xxx American xxxxxx Forum xxxxx www xxxxxxxxxxxxxxxxxxx org xxxxxxx artificial-intelligence-health-care-state-outlook-and-legal-update-for- xxxx States xxx introducing xxx enacting xxxxxxxxx use xxxxxx clinical xxxx Huerta x A xxxxxxxx B xxxxxxx L x Bouchard x E xxxx D xxxxxxxx C xxx Zhu x FAIR xxx AI xx interdisciplinary xxxxxxxxxxxxx inclusive xxx diverse xxxxxxxxx building xxxxxxxxxxx arXiv xxxxxxxx arXiv xxxxxx V xxxxxxxxxxxxx ethics xxx ethical xxxxxxxxxxxxxxx Xlibris xxxxxxxxxxx Lexisnexis xxxxx Legislators xxxx to xxxxxxxx Use xx AI xx Healthcare xxxxx Net xxxxxxxx https xxx lexisnexis xxx community xxxxxxxx legal xxxxxxxxxxxxxxx b xxxxxxxxx posts xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Timmons x C xxxxx J x Simo xxxxxx N xxx T xx H x Q xxxx M x amp xxxxxxxx T x call xx action xx assessing xxx mitigating xxxx in xxxxxxxxxx intelligence xxxxxxxxxxxx for xxxxxx health xxxxxxxxxxxx on xxxxxxxxxxxxx Science xMore Articles From Medicine
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