Abstract
MoCab is a framework that deploys high-accuracy medical models across various health information systems (HISs) using fast healthcare interoperability resources (FHIR). MoCab simplifies the process by importing and configuring stored models and retrieving data for prediction. Two case studies illustrate how MoCab can be used to support decision-making. The proposed framework increases model reusability across EHRs and improves the clinical decision-making process.
| Original language | English |
|---|---|
| Title of host publication | MEDINFO 2023 - The Future is Accessible |
| Subtitle of host publication | Proceedings of the 19th World Congress on Medical and Health Informatics |
| Editors | Jen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing |
| Publisher | IOS Press BV |
| Pages | 1384-1385 |
| Number of pages | 2 |
| Volume | 310 |
| ISBN (Electronic) | 9781643684567 |
| DOIs | |
| State | Published - 25 01 2024 |
| Externally published | Yes |
| Event | 19th World Congress on Medical and Health Informatics, MedInfo 2023 - Sydney, Australia Duration: 08 07 2023 → 12 07 2023 |
Publication series
| Name | Studies in health technology and informatics |
|---|---|
| ISSN (Print) | 0926-9630 |
Conference
| Conference | 19th World Congress on Medical and Health Informatics, MedInfo 2023 |
|---|---|
| Country/Territory | Australia |
| City | Sydney |
| Period | 08/07/23 → 12/07/23 |
Bibliographical note
Publisher Copyright:© 2024 International Medical Informatics Association (IMIA) and IOS Press.
Keywords
- clinical decision support
- Fast healthcare interoperability resources
- information management system
- system design
- Health Facilities
- Clinical Decision-Making
- Decision Support Systems, Clinical
- Health Information Systems