Preventable inpatient time
Adequacy of electronic patient information systems
Bibliographic Data
| ID | 11026733 |
|---|---|
| Authors | David L Katz (0000-0001-6845-6192, Griffin Hospital), Ramesh Mazhari, Robert Kalus, Haq Nawaz (0000-0003-0101-4335) |
| Year | 1999 |
| Volume | 89 |
| Issue | 12 |
| Pages | 1885-1889 |
| Publication date | 1999-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Public Health (JOURNAL) |
| Journal identifiers | ISSN: 0090-0036 • E-ISSN: 1541-0048 |
| Publisher | American Public Health Association (PUBLISHER • US) |
| DOI | 10.2105/ajph.89.12.1885 |
| PMID | 10589326 |
| OpenAlex | W2015696843 |
| Language | EN |
| References cited | 31 |
OBJECTIVES: This study assessed hospital electronic patient information systems (EPIS) for inclusion of variables associated with avoidable and extended hospitalization (preventable inpatient time). METHODS: We searched MEDLINE and HealthSTAR databases to identify predictors of preventable inpatient time. We then audited the admissions process and the handwritten medical record at 1 hospital, and the EPIS at all hospitals, affiliated with the Yale University School of Medicine for inclusion of the predictors. RESULTS: Whereas the written medical record included all 58 predictors, the EPIS of the 10 hospitals surveyed included an average of only 38% of the predictors. CONCLUSIONS: The conventional approach to information gathering during hospital admission is highly inefficient. Revising EPIS to include predictors of preventable inpatient time could enhance efficiency and quality, while reducing costs, of hospital care
Audit · Electronic medical record · Family medicine · Health care · Inclusion (mineral) · Inpatient care · Medical emergency · Medical record · MEDLINE · Chronic Disease Management Strategies · Electronic Health Records Systems · Emergency Medicine · Hospital Admissions and Outcomes · Medicine
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| Citation velocity | historical |
|---|---|
| Highly cited | No |