Search PubMed⌕ Search

PubMed · 1645044

PC-based application programs in large health care systems.

Abstract

Public health care agencies lack the infrastructure to meet the increasing operational demands on them, but there is little comparative data on alternative operational structures and systems from which to formulate remedies. Improved information management systems could help address both the workload and the gathering of critically needed data. PC-based database and application programs (PC-APs) that communicate with the mainframe are proposed as a methodology for filling the information-processing gap between mainframe computing and manual information systems. We also propose a model for systematic study of information management systems in clinical settings which can be used to evaluate other aspects of clinical program operations as well. A pilot study demonstrating these methodologies suggests that this is a fruitful approach to assessing ambulatory care operations and that PC-APs can improve administrative and clinical functions and enhance FTE productivity at lower overall cost.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J F Hiatt. 1992. PC-based application programs in large health care systems.. https://doi.org/10.1007/bf01674094

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Developing a national primary care-based early warning system for health protection--a surveillance tool for the future? Analysis of routinely collected data.

The increasing threat of infections with pandemic potential such as influenza has focussed attention on the information needed to inform those managing a pandemic. The Health Protection Agency, Nottingham University and EMIS have developed a new national health protection surveillance system using QRESEARCH, an established primary care-derived database, to provide timely and local information on trends in community illness and prescribing. This article describes the first year of the surveillance project. Data on consultations and prescribing were extracted from routinely generated computerized consultation records between November 2004 and December 2005. Weekly consultation and prescribing rates for a range of conditions including influenza-like illness and prescription of anti-viral drugs for influenza and vomiting were developed as 'key indicators'. These indicators were presented in a weekly bulletin showing data to strategic health authority level for use by those working in public health. The particular value of this scheme is the ability to produce timely data on illness to local level and to link prescribing to morbidity. The data were used 'real time' to reassure about lack of illness following the Buncefield Fuel Depot incident. This scheme is being further developed to provide daily local influenza-related information needed in an influenza pandemic.

Ambulatory Care Information Systems↗