Development of an Evaluation Index System for Health Recommender Systems Based on the Health Technology Assessment Framework: Cross-Sectional Delphi Study
Yue Sun, Shijie Hou, Siye Chen, Minmin Leng, Zhiwen Wang · 2025
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Description
Yue Sun and co-authors build an expert-agreed index system for judging health recommender systems. Their twenty twenty-five study uses the health technology assessment frame. These systems give personal health advice and content, yet most past checks graded only the algorithm.
No shared, validated score set existed, so studies could not be compared well. The team ran a two-round Delphi process, where experts rate and re-rate items toward consensus. User-centered measures join accuracy in the final index. Regulators and builders gain a common ruler for tools that now advise millions on diet, exercise, and care, with proof beyond code speed.
Catalog record
| CREATOR | Yue Sun, Shijie Hou, Siye Chen, Minmin Leng, Zhiwen Wang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |