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 xxxxxx Professor xxxx Caruana xxxxxxxx th xxxx Four xxxxxxxxx Assignment xxxxx Exploring xxx impact xx artificial xxxxxxxxxxxx in xxxxxxxxxxxxxxx with xxxxxxx and xxxxx considerations xxx research xxxxxxxxx by xxx claims xxx technological xxxxxxxxxx of xxxxxxxxxx intelligence xxxxx to xxxx a xxxxxxxxxxx impact xx the xxxxxxxx on xxxxx intervention xx decision-making xxxxxx the xxxxx of xxxxxxxxxx Hobbs xxxxxxxxxxxx due xx the xxxxx advancements xx technology xxxxx with xxxxxxxxxxx with xxx notion xx reducing xxxxx error xxx improving xxx overall xxxxxxxx and xxxxxxxxxxx of xxx decisions xxxx and xxx underlying xxxxx that xx only xxxxxxxx with xxx data xxxxxxxxxx to xx However xxxxx is x lot xx potential xxx the xxxxxxxxx to xxxxxx the xxxxxxxxxxx to xxxxx the xxxxxxx which xxxxx on xxxxxxx ethical xxxxxxxxxx that xxxx be xxxxxxxxx throughout xxx paper xxxxxxxxx to xxxxx could xxxxxxxxxx several xxxxx updates xxxxx already xxx Congress xxxxxxxx pertaining xx the xxxxxx and xxxxxxxx of xx in xxx healthcare xxxxxx in xxxxx to xxxxx legislation xxxxx draws xx the xxxxxxxx that x should xx be xxxxxxxx in xxxxxxxxxx sector xx make xxxxxxxxx with xxxxxx legal xxx ethical xxxxxxxxx The xxxxxxxx congress xxxxxxx involved xxxx - xxxxxxxx to xx Senate xxxxxx Education xxxxx and xxxxxxx and xxx House xxxxxx and xxxxxxxx Subcommittee xx Health xxxxx several xxxxxxxxx across xxx states xxxx started xxxxx pilot xxxxxxx to xxxxxx physician xxxxxxxxx including xxxxxxx on xx data xxxxxxxxx for xxxxxx diagnosis xx relation xx prolonged xxxxxxx Hobbs xxxx employed xxxx regulated xxxxx some xx the xxxxxxxx benefits xxx assessing xxxx array xx medical xxxx from xxx past xxxxxxx cloud xxxxxxxxxx through xxxxxxx patterns xxxx are xxxxxx human xxxxxxxxxxxx which xxxxxxx in xxxx accurate xxxxxxxx making xxxxx risk xx failure xx mishap xxxxxx level xx accuracy xxx personalized xxxxxxxxxx within xxxxxx time xxxx compared xx humans xxxxx under xxx Health xxxxxxxxx Portability xxx Accountability xxx of xxxxx there xxx several xxxx enacted xx order xx restrict xxx violation xx patients xxxxxxx under xxx name xx increasing xxx healthcare xxxxxxxxxx through xx Lexisnexis xxxx considering xxxxxxx operations xx has xxxx consistent xx streamlining xxx workflow xxxxxxx optimized xxxxxxxx allocation xxx minimal xxxxxx in xxxxxxxx and xxxxxxxxx distribution xx eliminate xxxx in xxxxxxxxxxxxxxx for xxxxxxxx the xx of xxxxxxxxxx as xxxxxxxxxx by xxxxxxx was xxxxxxxx with xxx intent xx abolish xxx healthcare xxxxxxxx including xxxxxx insurance xxxx conduction xxxxxxxxxxxxxx behavior xx the xxxxxx of xxxx gender xxxxxxxx origin xxx or xxxxxxxxxx through xxx algorithms xxxx this xxxxxxxxxxxxx regulation xxxx HB xxxxxxxxx enactment xxxx to xxxxxxxx and xxxxxxxx the xxxxxxxxxx of xx particularly xx eye xxxxxxxxxxx but xx other xxxxxx like xxxxxxxx such xx HB xxxxxx for x regulated xxxxxxxxxxx of xx to xxxxxxxx patients xxxxxxxxxx Considering xx ethical xxxxxxxxxx in xxxxx of xxxxxxxxx AI xxx decision-making xxxxxxx the xxxx of xxxxxxxxxx that xx an xxx by xxxxxx is xxxxxx the xxxxx bounds xxxxxxx there xxx been xxxxxxx fictional xxxxxxxxx that xxxxxxxx the xxxxxx with xxx advent xx AI xxx it xxxxxxx with xxx intention xx reducing xxx human xxxxxx has xxx to xxxxxx a xxxxxx to xxxxx society xxxx ethics xx underlying xxxxx to xxxxxxxxxx the xxxxx in xxxxx of xxxxxxxxxxxx that xx either xxxxxx or xxxx based xxxx employed xx human xxxxxxxxxxxxx faces xxx challenge xx assessing xxx utility xx every xxxxxxxxx as xxxxxxxx Kant xxxxxxxx that xxx deed xxxxxxxxx with xxxxx intent xxxxx on xxxxxxxxxxxx and xxxxxxxxxxx imperatives xxxxxxxx both xxxxxxxxxxx and xxxxxxxxxxxxx standpoints xxxx imply xxxxxxxxx ethics xxxxxx agree xxxx a xxxxxx point x that xxx healthcare xxxxxx should xxxxxxx with xxxxxx towards xxx the xxxxxxxxxxxx involved xxxx has xxxxxxxxxxxx AI xxx deontology xxxxx to xxxxx non-consequentially xxxxxxx the xxxxxxxxxx belief xxxxx from xxxxxx serves xx duty xx order xx incline xxxxxxx what xx referred xx as xxxxxxx right xx good xxxxxx than xxxxx things xxxx are xxxxx The xxxxxxxx of xx into xxx healthcare xxxxxx has xxxx potential xx do xxxx than xx cause xxxxx since xx runs xx the xxxx accessible xx it xxx in xxxxxxxxxxxx congress xxxxx with xxxxxxxxxxxxxx as xxxxxxxxx there xxx several xxxxxxxxxx adding xx restricting xxxx employing xx or xxxxxxxxxxxxx some xx the xxxxx examples x include xxxxxxxxxx HB xxxxx demands xxx hospitals xxxx provide xxxxxxxx treatments xxx other xxxxxxxxx facilities xxxxx to xxxxx nurse xxxxxxxxx relying xx their xxxxxxxxx then xx LexisNexis xx the xxxxxxxx New xxxxxxxx SB xxxxxxx discrimination xx utilizing xx automated xxxxxxxx system xx administrative xxx financial xxxxxxxxxxx LexisNexis xxx considering xxx ethical xxxxxxxx some xxxxx might xxxxx against xxx cautious xxxxxxxx taken xx deontology xxx advocate xxx the xxxxxxxx that xx in xxxxxxxxxx can xxxxx from x utilitarian xxxxxxxxxx They xxx emphasize xxx potential xxxxxxxx impact xx the xxxxxxxx such xx enhanced xxxxxxxxxx reduced xxxxxx and xxxxxxx treatments xx real-world xxxxx ongoing xxxxx programs xxxxx AI xxx diagnostics xx hospitals xxxx shown xxxxxxxxx results xxxxxxxxxx that xxx collective xxxxxxxx might xxxxxxxx individual xxxxxxx concerns xx the xxxxx side xx things xxxxxxxxxxxxxxxx might xxxxxxxx the xxxx for xxxxxxxxx regulations xxxxxxxxxx of x more xxxxxxxx approach xxxxx argue xxxx the xxxxx pace xx technological xxxxxxxxxxx requires xxxxxxxxxxxx rather xxxx stringent xxxxx They xxx express xxxxxxxx that xxxxxx restrictive xxxxxxxxxxx could xxxxxx the xxxxxxxxxxx of xxxxxxxx AI xxxxxxxxxxxx in xxxxxxxxxx affecting xxxxx like xxxxxxxxxxxx and xxxxxx to xxxxxxxx medical xxxxxxxxxxx A xxxxxxxx example xx this xxxxxx can xx seen xx the xxxxxxxxxxx surrounding xxxxxxxx state xxxxxxxxxxxx Some xxxxx that xxxxxx limitations xxxxxxxx in xxxxxxx laws xxx hinder xxx progress xx telemedicine xx delay xxxxxx to xxxxx medical xxxxxxxxxxx Striking x balance xxxxxxxxx becomes xxxxxxx in xxxxxxxx legal xxxxxxxxxx that xxxxxxxxxxx potential xxxxxxxx while xxxxxxxxxx valid xxxxxxx concerns xxxx a xxxxxxxxxxxxx perspective xxxxxxx might xxxxxxx that x steadfast xxxxxxxxx to xxxxx duties xxx be xxxxxxxxxx and xxx not xxxx up xxxx the xxxxxxx nature xx healthcare xxx technology xx a xxxxxxxx of xxxxxxxxx wherein xxxxxxxxx decision-making xx critical xx AI xxxxxx that xxxxxxx follows xxxxxxxxxxxxx principles xxxxx face xxxxxxxxxx in xxxxxxxxxx swiftly xxx flexibly xxxxx questions xxx credibility xx the xxxxxxxx Considering xxx tension xxxxxxx patient xxxxxxx obligations xxxx seems xx be xxxxxxxxxxx due xx the xxxxxxxxx exposure xx technology xxx accessibility xx outlined xx laws xxxx HIPAA xxx the xxxxxxxxx benefits xx sharing xxxxxxxxxx healthcare xxxx for xxxxxxxx Dove 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 x tge x Beyond xxx Metal xxxxx understanding xxx intersection xxxxxxx bio-and xx ethics xxx robotics xx healthcare xxxxxxxx Chanda x Hauser x Hobelsberger x Bucher x C xxxxxx C x Wies x Brinker x J xxxxxxxxxxxxxxxxxx explainable xx enhances xxxxx and xxxxxxxxxx in xxxxxxxxxx melanoma xxxxxx Communications xxxx W xxxx C xxxx L xxxxx S xxxx S xxx Application xx Artificial xxxxxxxxxxxx Accelerates x Protein-Coupled xxxxxxxx Ligand xxxxxxxxx Engineering xxxx E x 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 Lin x Metabolomic xxxxxxxxxxxxxxxx benefits xxx identification xx acute xxxx injury xx patients xxxx type x acute xxxxxx dissection xxxxxxxxx in xxxxxxxxx Biosciences xxxxxxx O x Data xxxxxxx and xxxxxxx Issues xx Collecting xxxxxx Care xxxx Using xxxxxxxxxx Intelligence xxxxx Health xxxxxxx Doctoral xxxxxxxxxxxx Center xxx Bioethics xxx Research xxxxx L xxxxxxxx Artificial xxxxxxxxxxxx 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 R xxxx for xx An xxxxxxxxxxxxxxxxx international xxxxxxxxx and xxxxxxx community xxxxxxxx perspective xxxxx preprint xxxxx Icheku x Understanding xxxxxx and xxxxxxx decision-making xxxxxxx Corporation xxxxxxxxxx State xxxxxxxxxxx Look xx Regulate xxx of xx in xxxxxxxxxx State xxx Insights xxxxx www xxxxxxxxxx com xxxxxxxxx insights xxxxx capitol-journal x state-net xxxxx state-legislators-look-to-regulate-use-of-ai-in-healthcare xxxxxxx A x Duong x B xxxx Fiallo x Lee x Vo x P x Ahle x W 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
.ico)
.ico)
.ico)
.ico)
