{"id":"https://openalex.org/W7225390744","doi":"https://doi.org/10.5281/zenodo.24005341","title":"Compliance-Aware Predictive Computing for Healthcare AI: Anticipating Common Medical Information Needs Under Privacy, Safety, and Regulatory Constraints","display_name":"Compliance-Aware Predictive Computing for Healthcare AI: Anticipating Common Medical Information Needs Under Privacy, Safety, and Regulatory Constraints","publication_year":2026,"publication_date":"2026-11-06","ids":{"openalex":"https://openalex.org/W7225390744","doi":"https://doi.org/10.5281/zenodo.24005341"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24005341","doi":"https://doi.org/10.5281/zenodo.24005341","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24005341","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.24005341","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100638045","display_name":"Jincheng Zhang","orcid":"https://orcid.org/0000-0001-7332-6704","observed_orcids":["https://orcid.org/0000-0001-7332-6704","https://orcid.org/0009-0005-1860-0009"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Jincheng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0005-1860-0009","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100638045"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-ai-in-healthcare","display_name":"generative AI in healthcare","score":0.7979999780654907},{"id":"https://openalex.org/keywords/privacy-preserving-computation","display_name":"privacy-preserving computation","score":0.7540000081062317},{"id":"https://openalex.org/keywords/clinical-safety","display_name":"clinical safety","score":0.6380000114440918},{"id":"https://openalex.org/keywords/regulatory-compliance","display_name":"regulatory compliance","score":0.9919999837875366},{"id":"https://openalex.org/keywords/forecast-uncertainty","display_name":"forecast uncertainty","score":0.5139999985694885},{"id":"https://openalex.org/keywords/computing-resource-management","display_name":"computing resource management","score":0.5550000071525574},{"id":"https://openalex.org/keywords/medical-education","display_name":"medical education","score":0.32199999690055847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6621999740600586},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.632099986076355},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.45410001277923584},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.42329999804496765},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.415800005197525},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.39899998903274536},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38370001316070557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3652999997138977},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.34790000319480896},{"id":"https://openalex.org/C121017731","wikidata":"https://www.wikidata.org/wiki/Q11661","display_name":"Information technology","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.3402000069618225},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.30160000920295715},{"id":"https://openalex.org/C78999398","wikidata":"https://www.wikidata.org/wiki/Q2899888","display_name":"Information needs","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2874999940395355},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C128487930","wikidata":"https://www.wikidata.org/wiki/Q579488","display_name":"Information management","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C57041688","wikidata":"https://www.wikidata.org/wiki/Q220644","display_name":"Service-oriented architecture","level":3,"score":0.2606000006198883},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24005341","doi":"https://doi.org/10.5281/zenodo.24005341","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24005341","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.24005342","doi":"https://doi.org/10.5281/zenodo.24005342","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24005342","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24005341","doi":"https://doi.org/10.5281/zenodo.24005341","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24005341","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5683000087738037,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7225390229","https://openalex.org/W7225389669","https://openalex.org/W7225382511","https://openalex.org/W7225398588","https://openalex.org/W7225414723","https://openalex.org/W7138094846","https://openalex.org/W7225397254","https://openalex.org/W4410448068","https://openalex.org/W7220440083","https://openalex.org/W7222888658"],"abstract_inverted_index":{"The":[0,166,236,320,343],"increasing":[1],"integration":[2],"of":[3,34,241,297],"generative":[4,109],"artificial":[5],"intelligence":[6],"(AI)":[7],"into":[8,162],"healthcare":[9,50,98,163,193,212,247,249,351,374],"information":[10,18,35,55,85,105,115,164,174,186,194,201,311,375],"services":[11,106],"has":[12],"created":[13],"new":[14],"opportunities":[15],"for":[16,132,143,150,158,302,370],"improving":[17],"accessibility,":[19],"supporting":[20],"patient":[21,113],"education,":[22,48],"and":[23,49,62,87,123,154,183,210,252,281,317,340,367,380,388],"reducing":[24],"repetitive":[25],"computational":[26,70,91,204,295,332],"expenditure.":[27],"Healthcare":[28,133],"users":[29],"frequently":[30],"request":[31],"overlapping":[32],"categories":[33],"concerning":[36],"common":[37,373],"diseases,":[38],"preventive":[39,246],"healthcare,":[40],"medication":[41,266],"safety,":[42,118,387],"vaccination,":[43],"medical":[44,104,173,197,230],"examinations,":[45],"chronic":[46],"disease":[47],"service":[51],"procedures.":[52],"Although":[53],"these":[54],"requirements":[56,101,376],"may":[57],"exhibit":[58],"temporal,":[59],"seasonal,":[60],"demographic,":[61],"event-related":[63],"patterns,":[64],"conventional":[65,108],"AI":[66,110,134,145,152,160],"systems":[67],"generally":[68],"initiate":[69],"processing":[71],"only":[72],"after":[73],"individual":[74],"requests":[75,95],"arrive.":[76],"Predictive":[77,130,141,147,156],"computing":[78],"provides":[79],"an":[80],"opportunity":[81],"to":[82,291],"anticipate":[83],"recurring":[84,172],"demand":[86,195,329],"selectively":[88],"prepare":[89],"relevant":[90],"resources":[92],"before":[93],"corresponding":[94],"materialize.":[96],"However,":[97],"introduces":[99,128,221],"additional":[100],"that":[102,139,226,261,349],"distinguish":[103],"from":[107,232],"applications,":[111],"particularly":[112],"privacy,":[114,386],"reliability,":[116,335],"clinical":[117,234,279,309],"temporal":[119],"validity,":[120],"professional":[121,283],"oversight,":[122],"regulatory":[124,318],"compliance.":[125],"This":[126],"paper":[127],"Compliance-Aware":[129],"Computing":[131,142,157],"(CAPC-Health),":[135],"a":[136,222,324,365],"conceptual":[137,366],"framework":[138,168,237,321],"extends":[140],"Generative":[144,151,159],"(PCGA),":[146],"Computational":[148],"Orchestration":[149],"(PCO-GAI),":[153],"Economic-Aware":[155],"(EAPC-GAI)":[161],"environments.":[165],"proposed":[167,344],"investigates":[169],"whether":[170,372],"commonly":[171],"needs":[175],"can":[176,271,377],"be":[177,272,378],"predicted":[178],"using":[179],"appropriately":[180,254],"authorized,":[181],"privacy-preserving,":[182],"temporally":[184],"available":[185],"signals.":[187],"It":[188,257],"integrates":[189],"six":[190],"principal":[191],"functions:":[192],"forecasting,":[196],"question":[198],"generation,":[199],"evidence-grounded":[200],"preparation,":[202,219],"privacy-aware":[203],"resource":[205],"management,":[206],"risk-sensitive":[207],"response":[208,218,334],"reuse,":[209],"adaptive":[211],"inference":[213],"orchestration.":[214],"Unlike":[215],"general-purpose":[216],"predictive":[217,298,350],"CAPC-Health":[220],"compliance-aware":[223],"preparation":[224,240,299],"boundary":[225],"distinguishes":[227],"reusable":[228],"general":[229,245],"education":[231],"individualized":[233],"interpretation.":[235],"permits":[238],"advance":[239],"validated":[242],"educational":[243],"information,":[244],"explanations,":[248],"navigation":[250],"resources,":[251],"other":[253],"classified":[255],"information.":[256],"does":[258,346],"not":[259,347],"assume":[260],"patient-specific":[262],"diagnosis,":[263],"treatment":[264],"recommendations,":[265],"decisions,":[267],"or":[268,275,357],"emergency":[269],"assessments":[270],"safely":[273],"precomputed":[274],"reused":[276],"without":[277,383],"current":[278],"context":[280],"appropriate":[282],"oversight.":[284],"A":[285],"unified":[286],"optimization":[287],"formulation":[288],"is":[289,353],"developed":[290],"evaluate":[292],"the":[293],"expected":[294],"benefits":[296],"while":[300],"accounting":[301],"prediction":[303,330],"uncertainty,":[304],"evidence":[305],"quality,":[306],"privacy":[307,336],"risk,":[308],"relevance,":[310],"freshness,":[312],"validation":[313],"expenditure,":[314],"storage":[315],"requirements,":[316],"constraints.":[319],"also":[322],"establishes":[323,364],"healthcare-specific":[325],"experimental":[326,368],"methodology":[327],"incorporating":[328],"accuracy,":[331],"savings,":[333],"protection,":[337],"safety":[338],"violations,":[339],"service-level":[341],"performance.":[342],"research":[345],"claim":[348],"computation":[352],"inherently":[354],"clinically":[355],"beneficial":[356],"legally":[358],"compliant":[359],"across":[360],"jurisdictions.":[361],"Rather,":[362],"it":[363],"foundation":[369],"investigating":[371],"anticipated":[379],"computationally":[381],"prepared":[382],"compromising":[384],"essential":[385],"governance":[389],"requirements.":[390]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-11-07T00:00:00"}
