Using Present-On-Admission Coding to Improve Exclusion Rules for Quality Metrics
The Case of Failure-to-Rescue
Bibliographic Data
| ID | 9101501 |
|---|---|
| Authors | Jack Needleman, Pontus Hymér (corresponding author), Peter I Buerhaus (0000-0002-1437-8341), Catherine Vanderboom, Marcelline Harris |
| Year | 2013 |
| Volume | 51 |
| Issue | 8 |
| Pages | 722-730 |
| Publication date | 2013-08-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0b013e31829808de |
| PMID | 23703647 |
| OpenAlex | W23703647 |
| Language | EN |
| Citations received | 1 |
| References cited | 3 |
Failure-to-rescue is a robust quality measure, sensitive to nursing across alternative exclusion rule specifications. Despite expanded POA coding, exclusion-based rules are needed to analyze datasets not coded for POA, legacy datasets, and datasets with poor POA coding. POA-informed construction of exclusions significantly improves rules identifying POA complications
Chromatography · Computer vision · Extraction (chemistry) · Fingerprint (computing) · Fingerprint recognition · Information extraction · Pattern recognition (psychology) · Artificial Intelligence · Biometric Identification and Security · Chemistry · Computer Science · Handwritten Text Recognition Techniques · User Authentication and Security Systems
| Citations per year | 0.13 |
|---|---|
| Citation span | 2018 - 2018 (1) |
| Highly cited | No |