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HUP Abstract Systems for Long-Term Care

Bibliographic Data

ID9099043
AuthorsPaul M Lewis (0000-0002-1789-2645, Western Pennsylvania Hospital, corresponding author)
Year1976
Volume14
IssueSupplement
Pages202-208
Publication date1976-05-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-197605001-00032
OpenAlexW2080290931
LanguageEN

The Hospital Utilization Project (HUF) has developed systems for data collection, report generation, and program analysis for three long-term care components. In the Skilled Nursing Facility Program, a uniform medical record abstract was developed, a procedure manual prepared, and instruction provided to participating SNFs both in abstract completion and report interpretation. Reports have been found useful for utilization review, medical care evaluation, facility management, and community health planning. The Rehabilitation Facility Program abstract includes basic data consisting of elements of the Uniform Hospital Discharge Data Set modified for the rehabilitation setting, and an optional functional status section. Designed to meet the needs of medically oriented facilities, the program should have great potential if administrative and staffing problems in the facilities relating to the provision of data can be overcome, and if difficulties regarding uniformity in defining and displaying primary diagnosis for summary reports can be resolved. The primary objectives of the Home Health Agencies Project were development of utilization review methods and data on patient care in the home health setting. The major obstacle encountered was that record systems and methods of statistical reporting in the participating agencies are so varied and fragmented as to make meaningful conclusions and comparisons almost impossible at this stage

Data collection · Health care · Long-term care · Medical emergency · Minimum Data Set · Nursing homes · Obstacle · Operations management · Set (abstract data type) · Staffing · Computer Science · Geriatric Care and Nursing Homes · Medicine · Nursing

Highly citedNo

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