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Biomedical subjects

D C Riedel

Publications and source records attributed to D C Riedel.

12 recordsLinked to original sources
PubMed1984

Use of ambulatory care services in three provider plans: interactions between patient characteristics and plans.

A previous study of low-income enrollees in a closed-panel health maintenance organization (HMO) and a Blue Cross/Blue Shield (BC/BS) plan showed that the effect on the use of health services of the age, sex, health status, previous health care use, race, and family size of the enrollees was different in the two plans. We have replicated this study using the same two provider plans but studying a different group of white collar, middle class enrollees. A third plan, an experimental independent practice association (IPA), was also available for analysis. Utilization was defined as use (yes/no) and the quantity of use for those who used services (in standardized dollars). Significant interactions were detected between plan and all of the independent variables but race. The use of services in the HMO was least affected by enrollees' characteristics (age, sex, race, health status, prior use, family size) and use was most sensitive to patient characteristics in BC. In some respects, the IPA was more like the HMO and in other respects more like the BC/BS plan.

Adolescent↗
PubMed1980

Cost containment through risk-sharing by primary care physicians: a history of the development of United Healthcare.

A new type of independent practice association has been organized to encourage primary care physicians in private practice to become coordinators and financial managers for their patients' medical care. Each patient chooses one internist, family or general physician, or pediatrician and must be referred by that physician for all specialized care. The primary care physician authorizes payment from his/her own account for hospital and referral care provided to patients. He or she shares any deficit or surplus remaining at the end of the year. This is a background paper detailing the history of development and specific features contained in this new concept of putting the physician in charge and "at risk" for the costs of medical care to his/her patients. The plan has been operating in northern California, Washington, and Utah and has 40,000 members and 750 participating physicians. This historical background paper is part of a large project--State Employees' Insurance Benefits Utilization Study (SEIBUS) being done by the University of Washington School of Public Health to evaluate use and costs of medical care under this innovative plan.

California↗
PubMed1977

The application of diagnostic specific cost profiles to cost and reimbursement control in hospitals.

A system has been developed to generate hospital budgets based on the types of patients served. Several hundred classes of patients are defined according to clinical attributes such as diagnoses and surgical procedures, and for each class a profile of resources consumed is determined. The class definitions are based both on homogeneity of patient care processes as well as resource consumption. These profiles are expressed as revenues generated by charging departments and as costs both direct and indirect for all services. A methodology has been developed to associate all indirect costs with their source for each service included in the profile. From a forecast of patient load by class, budgets can be computed from the cost profiles and revenues determined from the charging profiles. Further analysis thus can include the effect of changes in case mix as well as changes in patient care processes. The effect on revenues of different reimbursement mechanisms can also be projected as a function of the case mix. The system is currently being implemented for demonstration and evaluation of the Yale-New Haven Hospital.

Budgets↗
PubMed1976

AUTOGRP: an interactive computer system for the analysis of health care data.

AUTOGRP is an interactive computer system designed to facilitate rapid analysis of complex medical information. AUTOGRP allows the clinical or administrative expertise of the user to be combined with sophisticated computer techniques to permit rapid information retrieval, hypothesis testing, development of norms, and identification of deviant cases. This interaction yields results of a uniquely high statistical and medical quality. AUTOGRP has been used to aid in understanding the process of patient care management in a variety of settings in order to enhance the effectiveness of decision-making from both a medical and management point of view.

Computers↗