{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T07:03:26Z","timestamp":1760598206102,"version":"3.37.3"},"reference-count":16,"publisher":"Springer Fachmedien Wiesbaden GmbH","issue":"6","license":[{"start":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:00:00Z","timestamp":1667779200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:00:00Z","timestamp":1667779200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"crossref","award":["SU 717\/15-1"],"award-info":[{"award-number":["SU 717\/15-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Karlsruher Institut f\u00fcr Technologie (KIT)"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["HMD"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Zusammenfassung<\/jats:title><jats:p>Das Training von K\u00fcnstliche Intelligenz (KI)-Modellen, die auf maschinellem Lernen (ML) beruhen, erfordert eine gro\u00dfe Menge qualitativ hochwertiger Daten. Besonders im Gesundheitswesen mit seinen hochsensiblen Daten und hohen Anforderungen an den Datenschutz besitzen einzelne Akteur:innen oft jedoch nicht ausreichend hochwertige Daten. Datenmarktpl\u00e4tze f\u00fcr KI zielen darauf ab, dieses Problem zu l\u00f6sen, indem sie Datenanbieter und Datenkonsumenten miteinander verbinden und den Handel von Daten erm\u00f6glichen. Allerdings haben sich Datenmarktpl\u00e4tze im Gesundheitswesen, trotz erster technischer Konzepte und einiger Pilotprojekte, bisher noch nicht erfolgreich durchsetzen k\u00f6nnen. Im Rahmen der vorliegenden Studie wurden daher Interviews mit einer Reihe von relevanten Expert:innen und Akteur:innen durchgef\u00fchrt, um Potenziale, Herausforderungen und m\u00f6gliche Strategien zur Bew\u00e4ltigung der Herausforderungen zu identifizieren. Die Ergebnisse der Studie verdeutlichen anhand der drei Dimensionen des Technology-Organization-Environment-Frameworks spezifische Potenziale von Datenmarktpl\u00e4tzen f\u00fcr KI im Gesundheitswesen, aber gleichzeitig auch eine Reihe von Herausforderungen, die es zu adressieren gilt. Die erarbeiteten Bew\u00e4ltigungsstrategien liefern hierbei erste Ans\u00e4tze zur Beseitigung der identifizierten Herausforderungen, zeigen jedoch auch die Notwendigkeit der weiteren Forschung auf diesem Gebiet auf.<\/jats:p>","DOI":"10.1365\/s40702-022-00922-4","type":"journal-article","created":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T17:04:51Z","timestamp":1667840691000},"page":"1527-1544","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Datenmarktpl\u00e4tze f\u00fcr K\u00fcnstliche Intelligenz im Gesundheitswesen: Potenziale, Herausforderungen und Strategien zur Bew\u00e4ltigung","Data Marketplaces for Artificial Intelligence in Healthcare: Opportunities, Challenges and Mitigation Strategies"],"prefix":"10.1365","volume":"59","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0033-8277","authenticated-orcid":false,"given":"Richard","family":"Guse","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6917-1831","authenticated-orcid":false,"given":"Scott","family":"Thiebes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9845-5112","authenticated-orcid":false,"given":"Phil","family":"Hennel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4286-4176","authenticated-orcid":false,"given":"Christoph","family":"Rosenkranz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4353-8519","authenticated-orcid":false,"given":"Ali","family":"Sunyaev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"93","published-online":{"date-parts":[[2022,11,7]]},"reference":[{"key":"922_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s12525-022-00547-x","author":"R Bergman","year":"2022","unstructured":"Bergman\u00a0R, Abbas\u00a0AE, Jung\u00a0S et\u00a0al (2022) Business model archetypes for data marketplaces in the automotive industry: Contrasting business models of data marketplaces with varying ownership and orientation structures. Electron Markets. https:\/\/doi.org\/10.1007\/s12525-022-00547-x","journal-title":"Electron Markets"},{"key":"922_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2196\/32939","volume":"24","author":"HSJ Chew","year":"2022","unstructured":"Chew\u00a0HSJ, Achananuparp\u00a0P (2022) Perceptions and needs of artificial intelligence in health care to increase adoption: scoping review. J\u00a0Med Internet Res 24:1\u201319. https:\/\/doi.org\/10.2196\/32939","journal-title":"J Med Internet Res"},{"key":"922_CR3","volume-title":"Basics of qualitative research: techniques and procedures for developing grounded theory","author":"JM Corbin","year":"2015","unstructured":"Corbin\u00a0JM, Strauss\u00a0AL (2015) Basics of qualitative research: techniques and procedures for developing grounded theory, 4.\u00a0Aufl. SAGE, Los Angeles","edition":"4"},{"key":"922_CR4","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/978-3-030-50309-3_24","volume-title":"HCI for cybersecurity, privacy and trust","author":"S Ghaffaripour","year":"2020","unstructured":"Ghaffaripour\u00a0S, Miri\u00a0A (2020) Enabling medical research through privacy-preserving data markets. In: Moallem\u00a0A (Hrsg) HCI for cybersecurity, privacy and trust. Springer, Cham, S 367\u2013380"},{"key":"922_CR5","volume-title":"Deep learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow\u00a0I, Bengio\u00a0Y, Courville\u00a0A (2016) Deep learning. MIT Press, Cambridge"},{"key":"922_CR7","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1093\/icc\/dtaa002","volume":"29","author":"P Koutroumpis","year":"2020","unstructured":"Koutroumpis\u00a0P, Leiponen\u00a0A, Thomas\u00a0LDW (2020) Markets for data. Ind Corp Change 29:645\u2013660. https:\/\/doi.org\/10.1093\/icc\/dtaa002","journal-title":"Ind Corp Change"},{"key":"922_CR16","doi-asserted-by":"publisher","DOI":"10.30953\/bhty.v5.184","author":"M Maher","year":"2022","unstructured":"Maher\u00a0M, Khan\u00a0I (2022) From sharing to selling: challenges and opportunities of establishing a digital health data marketplace using blockchain technologies. Blockchain Healthc Today. https:\/\/doi.org\/10.30953\/bhty.v5.184","journal-title":"Blockchain Healthc Today"},{"key":"922_CR8","doi-asserted-by":"crossref","unstructured":"Masmoudi\u00a0M, Jarboui\u00a0B, Siarry\u00a0P (Hrsg) (2021) Artificial intelligence and data mining in healthcare, 1.\u00a0Aufl. Springer, Cham","DOI":"10.1007\/978-3-030-45240-7"},{"key":"922_CR6","doi-asserted-by":"publisher","first-page":"1552","DOI":"10.17179\/EXCLI2020-3095","volume":"19","author":"JC Mathew","year":"2020","unstructured":"Mathew\u00a0JC, David\u00a0AM, Mathew\u00a0JCM (2020) Artificial intelligence and its future potential in lung cancer screening. EXCLI\u00a0J 19:1552\u20131562. https:\/\/doi.org\/10.17179\/EXCLI2020-3095","journal-title":"EXCLI J"},{"key":"922_CR9","volume-title":"Qualitative research in business and management","author":"MD Myers","year":"2019","unstructured":"Myers\u00a0MD (2019) Qualitative research in business and management, 3.\u00a0Aufl. SAGE, Thousand Oaks","edition":"3"},{"key":"922_CR10","volume-title":"Artificial intelligence: a\u00a0modern approach","author":"SJ Russell","year":"2010","unstructured":"Russell\u00a0SJ, Norvig\u00a0P (2010) Artificial intelligence: a\u00a0modern approach, 3.\u00a0Aufl. Prentice Hall, Upper Saddle River","edition":"3"},{"key":"922_CR11","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1017\/S0140525X00005756","volume":"3","author":"JR Searle","year":"1980","unstructured":"Searle\u00a0JR (1980) Minds, brains, and programs. Behav Brain Sci 3:417\u2013424. https:\/\/doi.org\/10.1017\/S0140525X00005756","journal-title":"Behav Brain Sci"},{"key":"922_CR12","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/s40595-016-0064-2","volume":"3","author":"F Stahl","year":"2016","unstructured":"Stahl\u00a0F, Schomm\u00a0F, Vossen\u00a0G, Vomfell\u00a0L (2016) A classification framework for data marketplaces. Vietnam J Comput Sci 3:137\u2013143. https:\/\/doi.org\/10.1007\/s40595-016-0064-2","journal-title":"Vietnam J Comput Sci"},{"key":"922_CR13","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1007\/s12525-020-00441-4","volume":"31","author":"S Thiebes","year":"2021","unstructured":"Thiebes\u00a0S, Lins\u00a0S, Sunyaev\u00a0A (2021) Trustworthy artificial intelligence. Electron Markets 31:447\u2013464. https:\/\/doi.org\/10.1007\/s12525-020-00441-4","journal-title":"Electron Markets"},{"key":"922_CR14","volume-title":"The processes of technological innovation","author":"LG Tornatzky","year":"1990","unstructured":"Tornatzky\u00a0LG, Fleischer\u00a0M (1990) The processes of technological innovation. Lexington Books, Lexington"},{"key":"922_CR15","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1016\/j.ins.2018.10.024","volume":"476","author":"C Zhao","year":"2019","unstructured":"Zhao\u00a0C, Zhao\u00a0S, Zhao\u00a0M et al (2019) Secure multi-party computation: theory, practice and applications. Inf Sci 476:357\u2013372. https:\/\/doi.org\/10.1016\/j.ins.2018.10.024","journal-title":"Inf Sci"}],"container-title":["HMD Praxis der Wirtschaftsinformatik"],"original-title":[],"language":"de","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1365\/s40702-022-00922-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1365\/s40702-022-00922-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1365\/s40702-022-00922-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,14]],"date-time":"2022-11-14T21:05:18Z","timestamp":1668459918000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1365\/s40702-022-00922-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,7]]},"references-count":16,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["922"],"URL":"https:\/\/doi.org\/10.1365\/s40702-022-00922-4","relation":{},"ISSN":["1436-3011","2198-2775"],"issn-type":[{"type":"print","value":"1436-3011"},{"type":"electronic","value":"2198-2775"}],"subject":[],"published":{"date-parts":[[2022,11,7]]},"assertion":[{"value":"15 July 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 October 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 November 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}