Abstract
This study aims to develop a Clinical Decision Support System (CDSS) platform utilizing healthcare MyData to enhance patient safety. The platform focuses on algorithms for managing hyperglycemia and predicting Acute Kidney Injury (AKI). To evaluate the platform, we conducted in-depth interviews with healthcare professionals and assessed its performance. By integrating artificial intelligence (AI) with MyData data, this research seeks to deliver personalized safety alerts, marking progress in patient-centered care through the application of healthcare MyData.
| Original language | English |
|---|---|
| Title of host publication | MEDINFO 2025 - Healthcare Smart x Medicine Deep |
| Subtitle of host publication | Proceedings of the 20th World Congress on Medical and Health Informatics |
| Editors | Mowafa S. Househ, Mowafa S. Househ, Zain Ul Abideen Tariq, Mahmood Al-Zubaidi, Uzair Shah, Elaine Huesing |
| Publisher | IOS Press BV |
| Pages | 1708-1709 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781643686080 |
| DOIs | |
| State | Published - 7 Aug 2025 |
| Event | 20th World Congress on Medical and Health Informatics, MEDINFO 2025 - Taipei, Taiwan, Province of China Duration: 9 Aug 2025 → 13 Aug 2025 |
Publication series
| Name | Studies in Health Technology and Informatics |
|---|---|
| Volume | 329 |
| ISSN (Print) | 0926-9630 |
| ISSN (Electronic) | 1879-8365 |
Conference
| Conference | 20th World Congress on Medical and Health Informatics, MEDINFO 2025 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 9/08/25 → 13/08/25 |
Bibliographical note
Publisher Copyright:© 2025 The Authors.
Keywords
- MyData
- clinical decision support system
- patient safety
- personal health record
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