Information requirements for assessing quality of care.
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Biomedical subjects
Publications and source records attributed to T Esmond.
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For a full day, 10 individuals representing varied health fields and viewpoints within the healthcare industry discussed a number of topics confronting health care and predicted what the environment is likely to be in three years (see accompanying sidebars for symposium participants and purpose). This article focuses on one of the symposium topics, capital availability and financing, and the implications in a time of declining utilization.
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The following case study illustrates the use of case-mix information in the budget process. Using case-mix data from a management information system such as PBCS, hospital managers can obtain the assistance of those who influence the delivery of care to develop a sound statistical budget upon which to allocate available resources. Such a budget should be based on honest goals which can be used to evaluate actual accomplishments.
The authors describe a case mix system developed by users which goes beyond DRG requirements to respond to management's clinical/financial data needs for marketing, planning, budgeting and financial analysis as well as reimbursement. Lessons learned in development of the system and the clinical/financial base will be helpful to those currently contemplating the implementation of such a system or evaluating available software.
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The Health Care Financing Administration is developing a new method of Medicare patient reimbursement limit setting, based on a quantification of hospital case mix through the AUTOGRP Diagnosis-Related Groups established at Yale University. The reliability of this method is dependent on the diagnosis and procedure data used as input, which should reflect the "principal" condition of the patient. HCFA's source of data is Medicare billing for 1978, some of which contains concurrent rather than retrospective diagnosis and procedure information. Billing data from large teaching hospital are examined with respect to Medical Records data. The data are evaluated, based on the diagnosis and procedure codes and on the groupings (DRGs) presently being used by HCFA; concurrent and retrospective data are found to be widely divergent on both measures. An apparent difference in complexity or extent of resource use is noted, suggesting that the data being used in HCFA's development effort may not fully represent the level of complexity of cases being treated and that reimbursement based on this data may be incorrect.
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