Improving Hospital Discharge Data
Lessons From the National Hospital Discharge Survey
Bibliographic Data
| ID | 9099345 |
|---|---|
| Authors | Linda K Demlo (University of Iowa Health Care, corresponding author), Paul M Campbell (0000-0002-3345-5007, National Academy of Sciences) |
| Year | 1981 |
| Volume | 19 |
| Issue | 10 |
| Pages | 1030-1040 |
| Publication date | 1981-10-01 |
| Peer Reviewed | Yes |
| 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 | 10.1097/00005650-198110000-00005 |
| PMID | 7311635 |
| OpenAlex | W1967054377 |
| Language | EN |
| Citations received | 12 |
| References cited | 2 |
The most recent study by the Institute of Medicine of the reliability of hospital discharge data abstracted from patients' medical records documents the continuing presence of a substantial level of imprecision and error, affirming the findings of earlier studies. The most obvious factors leading to unreliability stem from inadequacies in the face sheets of medical records. Significant improvements could be attained if the discharge summary were routinely used to abstract information on patient disposition and principal diagnosis and if the operative report were routinely used to abstract information on principal procedure. Additional recommendations are offered for developmental activities intended to improve the designation of diagnosis, diagnostic classification schemes and hospital medical records systems
Hospital discharge · Intensive care medicine · Medical emergency · Medical record · MEDLINE · Patient discharge · Principal (computer security) · Reliability (semiconductor) · Clinical Reasoning and Diagnostic Skills · Computer Science · Emergency Medicine · Healthcare cost, quality, practices · Medical Coding and Health Information · Medicine · Surgery
Utilization of administrative files in health research
Bias in the Coding of Hospital Discharge Data and Its Implications for Quality Assessment
Volume, Quality, and the Regionalization of Health Care Services
Using Administrative Data to Predict Important Health Outcomes
Deficits in Communication and Information Transfer Between Hospital-Based and Primary Care Physicians
Using computers to identify complications after surgery
Cancer incidence among American Indians and Alaska Natives, 1980 through 1987
The accuracy of Medicare's hospital claims data
Construction and Characteristics of the RxRisk-V
Relationship of Provider Characteristics To Outcomes, Process, And Costs of Care for Community-Acquired Pneumonia
A confiabilidade dos dados nos formulários de Autorização de Internação Hospitalar (AIH), Rio de Janeiro, Brasil
Assessing surgical risks in a population
| Unique citing works | 12 |
|---|---|
| Citations per year | 0,29 |
| Citation span | 1984 - 2007 (24) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 8 |