Interdisciplinary Human-Centered AI for Hospital Readmission Prediction of Heart Failure Patients
The evolution of clinical decision support (CDS) tools has been improved by usage of new technologies, yet there is an increased need to develop user-friendly, evidence-based, and expert-curated CDS solutions. In this paper, we show with a use-case how interdisciplinary expertise can be combined to develop CDS tool for hospital readmission prediction of heart failure patients. We also discuss how to make the tool integrated in clinical workflow by understanding end-user needs and have clinicians-in-the-loop during the different development stages.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:302 |
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| Enthalten in: |
Studies in health technology and informatics - 302(2023) vom: 18. Mai, Seite 556-560 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Soliman, Amira [VerfasserIn] |
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| Links: |
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| Themen: |
Hospital Readmission Prediction |
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| Anmerkungen: |
Date Completed 22.05.2023 Date Revised 22.05.2023 published: Print Citation Status MEDLINE |
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| doi: |
10.3233/SHTI230204 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM357062760 |
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| 520 | |a The evolution of clinical decision support (CDS) tools has been improved by usage of new technologies, yet there is an increased need to develop user-friendly, evidence-based, and expert-curated CDS solutions. In this paper, we show with a use-case how interdisciplinary expertise can be combined to develop CDS tool for hospital readmission prediction of heart failure patients. We also discuss how to make the tool integrated in clinical workflow by understanding end-user needs and have clinicians-in-the-loop during the different development stages | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Etminani, Kobra |e verfasserin |4 aut | |
| 700 | 1 | |a Nygren, Jens |e verfasserin |4 aut | |
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