Name
Title | ||
|---|---|---|
Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm. |
Abstract | ||
|---|---|---|
Effective population management of patients with diabetes requires timely recognition. Current case-finding algorithms can accurately detect patients with diabetes, but lack real-time identification. We sought to develop and validate an automated, real-time diabetes case-finding algorithm to identify patients with diabetes at the earliest possible date. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1186/1472-6947-13-81 | BMC Med. Inf. & Decision Making |
Keywords | Field | DocType |
Metformin, Electronic Health Record, Validation Cohort, Problem List, Diagnosis Date | Primary health care,Diabetes mellitus,Algorithm,Metformin,Predictive value of tests,Medical record,Health informatics,Medicine,Disease management | Journal |
Volume | Issue | ISSN |
13 | 1 | 1472-6947 |
Citations | PageRank | References |
5 | 0.45 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anil N. Makam | 1 | 17 | 1.56 |
| Oanh K. Nguyen | 2 | 7 | 0.82 |
| Billy Moore | 3 | 5 | 0.45 |
| Ying Ma | 4 | 5 | 0.45 |
| Ruben Amarasingham | 5 | 25 | 3.46 |