Phases of the Innovation Funnel for Valuable AI in Healthcare [
<p><a href="/article/info:doi/10.1371/journal.pdig.0000847#pdig.0000847.ref021" target="_blank">21</a>] (IFVAIH). Abbreviations: AIPA: Artificial Intelligence Prediction Algorithm.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852020716238536704 |
|---|---|
| author | Jobbe P.L. Leenen (21261676) |
| author2 | Paul Hiemstra (21261679) Martine M. Ten Hoeve (21261682) Anouk C.J. Jansen (21261685) Joris D. van Dijk (12239872) Brian Vendel (21261688) Guido Versteeg (21261691) Gido A. Hakvoort (21261694) Marike Hettinga (20640110) |
| author2_role | author author author author author author author author |
| author_facet | Jobbe P.L. Leenen (21261676) Paul Hiemstra (21261679) Martine M. Ten Hoeve (21261682) Anouk C.J. Jansen (21261685) Joris D. van Dijk (12239872) Brian Vendel (21261688) Guido Versteeg (21261691) Gido A. Hakvoort (21261694) Marike Hettinga (20640110) |
| author_role | author |
| dc.creator.none.fl_str_mv | Jobbe P.L. Leenen (21261676) Paul Hiemstra (21261679) Martine M. Ten Hoeve (21261682) Anouk C.J. Jansen (21261685) Joris D. van Dijk (12239872) Brian Vendel (21261688) Guido Versteeg (21261691) Gido A. Hakvoort (21261694) Marike Hettinga (20640110) |
| dc.date.none.fl_str_mv | 2025-05-07T17:28:14Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pdig.0000847.g001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Phases_of_the_Innovation_Funnel_for_Valuable_AI_in_Healthcare_/28947166 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Microbiology Neuroscience Biotechnology Cancer Science Policy Hematology Biological Sciences not elsewhere classified Information Systems not elsewhere classified six themes emerged mean duration 52 facilitate personalized treatment balancing divergent perspectives also enforce standardization standardize development processes enhance patient quality develop clear strategies implementing ai models effective ai integration including meeting preconditions ai development focusing optimize clinical workflows scale clinical implementation successful ai implementation ai development clinical workflows ai implementation emphasizing quality clinical settings clinical practice clear vision clear path valuable ai integrating ai bringing ai unclear implications thirteen semi thematic analysis study highlights structured interviews shown potential requires facilitation required skills qualitative study pull vs prior experience often hindered multidisciplinary collaboration late involvement interview study interview guide innovation funnel evolving laws complex nature challenging communication artificial intelligence appropriate skills |
| dc.title.none.fl_str_mv | Phases of the Innovation Funnel for Valuable AI in Healthcare [ |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p><a href="/article/info:doi/10.1371/journal.pdig.0000847#pdig.0000847.ref021" target="_blank">21</a>] (IFVAIH). Abbreviations: AIPA: Artificial Intelligence Prediction Algorithm.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_033dff7e856423e89392741b71ff8766 |
| identifier_str_mv | 10.1371/journal.pdig.0000847.g001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28947166 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Phases of the Innovation Funnel for Valuable AI in Healthcare [Jobbe P.L. Leenen (21261676)Paul Hiemstra (21261679)Martine M. Ten Hoeve (21261682)Anouk C.J. Jansen (21261685)Joris D. van Dijk (12239872)Brian Vendel (21261688)Guido Versteeg (21261691)Gido A. Hakvoort (21261694)Marike Hettinga (20640110)MicrobiologyNeuroscienceBiotechnologyCancerScience PolicyHematologyBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedsix themes emergedmean duration 52facilitate personalized treatmentbalancing divergent perspectivesalso enforce standardizationstandardize development processesenhance patient qualitydevelop clear strategiesimplementing ai modelseffective ai integrationincluding meeting preconditionsai development focusingoptimize clinical workflowsscale clinical implementationsuccessful ai implementationai developmentclinical workflowsai implementationemphasizing qualityclinical settingsclinical practiceclear visionclear pathvaluable aiintegrating aibringing aiunclear implicationsthirteen semithematic analysisstudy highlightsstructured interviewsshown potentialrequires facilitationrequired skillsqualitative studypull vsprior experienceoften hinderedmultidisciplinary collaborationlate involvementinterview studyinterview guideinnovation funnelevolving lawscomplex naturechallenging communicationartificial intelligenceappropriate skills<p><a href="/article/info:doi/10.1371/journal.pdig.0000847#pdig.0000847.ref021" target="_blank">21</a>] (IFVAIH). Abbreviations: AIPA: Artificial Intelligence Prediction Algorithm.</p>2025-05-07T17:28:14ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pdig.0000847.g001https://figshare.com/articles/figure/Phases_of_the_Innovation_Funnel_for_Valuable_AI_in_Healthcare_/28947166CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/289471662025-05-07T17:28:14Z |
| spellingShingle | Phases of the Innovation Funnel for Valuable AI in Healthcare [ Jobbe P.L. Leenen (21261676) Microbiology Neuroscience Biotechnology Cancer Science Policy Hematology Biological Sciences not elsewhere classified Information Systems not elsewhere classified six themes emerged mean duration 52 facilitate personalized treatment balancing divergent perspectives also enforce standardization standardize development processes enhance patient quality develop clear strategies implementing ai models effective ai integration including meeting preconditions ai development focusing optimize clinical workflows scale clinical implementation successful ai implementation ai development clinical workflows ai implementation emphasizing quality clinical settings clinical practice clear vision clear path valuable ai integrating ai bringing ai unclear implications thirteen semi thematic analysis study highlights structured interviews shown potential requires facilitation required skills qualitative study pull vs prior experience often hindered multidisciplinary collaboration late involvement interview study interview guide innovation funnel evolving laws complex nature challenging communication artificial intelligence appropriate skills |
| status_str | publishedVersion |
| title | Phases of the Innovation Funnel for Valuable AI in Healthcare [ |
| title_full | Phases of the Innovation Funnel for Valuable AI in Healthcare [ |
| title_fullStr | Phases of the Innovation Funnel for Valuable AI in Healthcare [ |
| title_full_unstemmed | Phases of the Innovation Funnel for Valuable AI in Healthcare [ |
| title_short | Phases of the Innovation Funnel for Valuable AI in Healthcare [ |
| title_sort | Phases of the Innovation Funnel for Valuable AI in Healthcare [ |
| topic | Microbiology Neuroscience Biotechnology Cancer Science Policy Hematology Biological Sciences not elsewhere classified Information Systems not elsewhere classified six themes emerged mean duration 52 facilitate personalized treatment balancing divergent perspectives also enforce standardization standardize development processes enhance patient quality develop clear strategies implementing ai models effective ai integration including meeting preconditions ai development focusing optimize clinical workflows scale clinical implementation successful ai implementation ai development clinical workflows ai implementation emphasizing quality clinical settings clinical practice clear vision clear path valuable ai integrating ai bringing ai unclear implications thirteen semi thematic analysis study highlights structured interviews shown potential requires facilitation required skills qualitative study pull vs prior experience often hindered multidisciplinary collaboration late involvement interview study interview guide innovation funnel evolving laws complex nature challenging communication artificial intelligence appropriate skills |