Human-centered artificial intelligence: a multidimensional approach towards real world evidence
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Autor:in (Körperschaft)
Publikationsdatum
2019
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
ICEIS 2019. 21st International Conference on Enterprise Information Systems. Proceedings
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
1
Ausgabe / Nummer
Seiten / Dauer
381-390
Patentnummer
Verlag / Herausgebende Institution
Verlagsort / Veranstaltungsort
Heraklion
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
This study indicates the significance of a human-centered perspective in the analysis and interpretation of Real World Data. As an exemplary use-case, the construct of perceived ‘Health-related Quality of Life’ is chosen to show, firstly, the significance of Real World Data and, secondly, the associated ‘Real World Evidence’. We settled on an iterative methodology and used hermeneutics for a detailed literature analysis to outline the relevance and the need for a forward-thinking approach to deal with Real World Evidence in the life science and health care industry. The novelty of the study is its focus on a human-centered artificial intelligence, which can be achieved by using ‘System Dynamics’ modelling techniques. The outcome – a human-centered ‘Indicator Set’ can be combined with results from data-driven, AI-based analytics. With this multidimensional approach, human intelligence and artificial intelligence can be intertwined towards an enriched Real World Evidence. The developed approach considers three perspectives – the elementary, the algorithmic and – as novelty – the human-centered evidence. As conclusion, we claim that Real World Data are more valuable and applicable to achieve patient-centricity and personalization if the human-centered perspective is considered ‘by design’.
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
21st International Conference on Enterprise Information Systems (ICEIS 2019)
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
03.05.2019
Enddatum der Konferenz
05.05.2019
Datum der letzten Prüfung
ISBN
978-989-758-372-8
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Closed
Lizenz
Zitation
Schneider, B., Asprion, P., & Grimberg, F. (2019). Human-centered artificial intelligence: a multidimensional approach towards real world evidence. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), ICEIS 2019. 21st International Conference on Enterprise Information Systems. Proceedings (Vol. 1, pp. 381–390). https://doi.org/10.5220/0007715503810390