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Results for “Patient Credit and Collection”

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At least 19 recordsLinked to original sources
PubMed1991

A determination of institutional and patient factors affecting uncompensated hospital care.

For this study, a sample of 985 patients classified as "charity" and "bad debt" cases in 1986 were identified from 28 Indiana hospitals. In a multiple regression model, insurance coverage, total hospital charge, pregnancy-related diagnoses, marital status, employment status, discharge status, urban location, and total hospital revenue were significant factors in predicting unpaid hospital bills, when controlling other demographic characteristics. Sixty percent had some form of insurance and were responsible for 40 percent of the uncompensated amount, justifying the need to examine the adequacy of patient insurance coverage. However, providing insurance coverage will not entirely eliminate the problem of uncompensated care; hospitals also need to increase collection efforts for all unpaid bills.

Adult↗
PubMedDate not supplied

Measuring patient loss.

Few medical practices collect patient loss data. Yet patient defection has an enormous impact on practice profitability. Not only is the information on patient defection painful to analyze, but also difficult to capture. Patient requests for transfer of medical records are an insufficient measure of patient loss. Billing services are the likeliest source of patient loss data, but they have varying capabilities to provide this information, the information is often flawed, and each time a practice switches to a new billing service, it loses the ability to produce patient retention and defection data for a period of time. The previous article in this series detailed the costs of defection of patients to medical practice profitability together with methods to help retain patients. However, most practices do not or cannot quantify patient loss. This article concentrates on the problems of tracking defections and offers a possible solution through a focus on the data provided by billing systems.

Data Collection↗