User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project
BackgroundArtificial intelligence (AI)–based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS...
Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-01-01
|
| Series: | JMIR Research Protocols |
| Online Access: | https://www.researchprotocols.org/2025/1/e62704 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832577557309947904 |
|---|---|
| author | Pascal Raszke Godwin Denk Giebel Carina Abels Jürgen Wasem Michael Adamzik Hartmuth Nowak Lars Palmowski Philipp Heinz Silke Mreyen Nina Timmesfeld Marianne Tokic Frank Martin Brunkhorst Nikola Blase |
| author_facet | Pascal Raszke Godwin Denk Giebel Carina Abels Jürgen Wasem Michael Adamzik Hartmuth Nowak Lars Palmowski Philipp Heinz Silke Mreyen Nina Timmesfeld Marianne Tokic Frank Martin Brunkhorst Nikola Blase |
| author_sort | Pascal Raszke |
| collection | DOAJ |
| description |
BackgroundArtificial intelligence (AI)–based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS have not been adopted in standard care. Possible reasons for this include barriers in the implementation and a nonuser-oriented development approach, resulting in reduced user acceptance.
ObjectiveThis research project has 2 objectives. First, problems and corresponding solutions that hinder or support the development and implementation of AI-based CDSS are identified. Second, the research project aims to increase user acceptance by creating a user-oriented requirement profile, using the example of sepsis.
MethodsThe research project is based on a multimethod approach combining (1) a scoping review, (2) focus groups with physicians and professional caregivers, and (3) semistructured interviews with relevant stakeholders. The research modules mentioned provide the basis for the development of a (4) survey, including a discrete choice experiment (DCE) with physicians. A minimum of 6667 physicians with expertise in the clinical picture of sepsis are contacted for this purpose. The survey is followed by the development of a requirement profile for AI-based CDSS and the derivation of policy recommendations for action, which are evaluated in a (5) expert roundtable discussion.
ResultsThe multimethod research project started in November 2022. It provides an overview of the barriers and corresponding solutions related to the development and implementation of AI-based CDSS. Using sepsis as an example, a user-oriented requirement profile for AI-based CDSS is developed. The scoping review has been concluded and the qualitative modules have been subjected to analysis. The start of the survey, including the DCE, was at the end of July 2024.
ConclusionsThe results of the research project represent the first attempt to create a comprehensive user-oriented requirement profile for the development of sepsis-specific AI-based CDSS. In addition, general recommendations are derived, in order to reduce barriers in the development and implementation of AI-based CDSS. The findings of this research project have the potential to facilitate the integration of AI-based CDSS into standard care in the long term.
International Registered Report Identifier (IRRID)DERR1-10.2196/62704 |
| format | Article |
| id | doaj-art-c57a44c2998f43d393f137ceb2db3ba8 |
| institution | Kabale University |
| issn | 1929-0748 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Research Protocols |
| spelling | doaj-art-c57a44c2998f43d393f137ceb2db3ba82025-01-30T20:31:04ZengJMIR PublicationsJMIR Research Protocols1929-07482025-01-0114e6270410.2196/62704User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research ProjectPascal Raszkehttps://orcid.org/0009-0008-6538-0733Godwin Denk Giebelhttps://orcid.org/0000-0002-4182-1927Carina Abelshttps://orcid.org/0000-0003-2138-2944Jürgen Wasemhttps://orcid.org/0000-0001-9653-168XMichael Adamzikhttps://orcid.org/0000-0002-7188-4873Hartmuth Nowakhttps://orcid.org/0000-0002-6509-1463Lars Palmowskihttps://orcid.org/0009-0008-9553-6575Philipp Heinzhttps://orcid.org/0009-0007-5331-5785Silke Mreyenhttps://orcid.org/0009-0002-1013-8428Nina Timmesfeldhttps://orcid.org/0000-0002-5175-4326Marianne Tokichttps://orcid.org/0000-0001-9789-575XFrank Martin Brunkhorsthttps://orcid.org/0000-0002-8132-8651Nikola Blasehttps://orcid.org/0000-0003-3774-5009 BackgroundArtificial intelligence (AI)–based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS have not been adopted in standard care. Possible reasons for this include barriers in the implementation and a nonuser-oriented development approach, resulting in reduced user acceptance. ObjectiveThis research project has 2 objectives. First, problems and corresponding solutions that hinder or support the development and implementation of AI-based CDSS are identified. Second, the research project aims to increase user acceptance by creating a user-oriented requirement profile, using the example of sepsis. MethodsThe research project is based on a multimethod approach combining (1) a scoping review, (2) focus groups with physicians and professional caregivers, and (3) semistructured interviews with relevant stakeholders. The research modules mentioned provide the basis for the development of a (4) survey, including a discrete choice experiment (DCE) with physicians. A minimum of 6667 physicians with expertise in the clinical picture of sepsis are contacted for this purpose. The survey is followed by the development of a requirement profile for AI-based CDSS and the derivation of policy recommendations for action, which are evaluated in a (5) expert roundtable discussion. ResultsThe multimethod research project started in November 2022. It provides an overview of the barriers and corresponding solutions related to the development and implementation of AI-based CDSS. Using sepsis as an example, a user-oriented requirement profile for AI-based CDSS is developed. The scoping review has been concluded and the qualitative modules have been subjected to analysis. The start of the survey, including the DCE, was at the end of July 2024. ConclusionsThe results of the research project represent the first attempt to create a comprehensive user-oriented requirement profile for the development of sepsis-specific AI-based CDSS. In addition, general recommendations are derived, in order to reduce barriers in the development and implementation of AI-based CDSS. The findings of this research project have the potential to facilitate the integration of AI-based CDSS into standard care in the long term. International Registered Report Identifier (IRRID)DERR1-10.2196/62704https://www.researchprotocols.org/2025/1/e62704 |
| spellingShingle | Pascal Raszke Godwin Denk Giebel Carina Abels Jürgen Wasem Michael Adamzik Hartmuth Nowak Lars Palmowski Philipp Heinz Silke Mreyen Nina Timmesfeld Marianne Tokic Frank Martin Brunkhorst Nikola Blase User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project JMIR Research Protocols |
| title | User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project |
| title_full | User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project |
| title_fullStr | User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project |
| title_full_unstemmed | User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project |
| title_short | User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project |
| title_sort | user oriented requirements for artificial intelligence based clinical decision support systems in sepsis protocol for a multimethod research project |
| url | https://www.researchprotocols.org/2025/1/e62704 |
| work_keys_str_mv | AT pascalraszke userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT godwindenkgiebel userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT carinaabels userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT jurgenwasem userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT michaeladamzik userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT hartmuthnowak userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT larspalmowski userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT philippheinz userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT silkemreyen userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT ninatimmesfeld userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT mariannetokic userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT frankmartinbrunkhorst userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject AT nikolablase userorientedrequirementsforartificialintelligencebasedclinicaldecisionsupportsystemsinsepsisprotocolforamultimethodresearchproject |