PubMed Health⌕ Search

PubMed · 10156482

Comprehensive approach to utilization review based on patient-specific costing data.

Abstract

The Ottawa General Hospital (OGH) is one of a growing number of institutions that has implemented a cost accounting system. The ability to track costs on a patient-specific basis provides an exciting avenue for reviewing the use of resources. With the accumulation of a complete fiscal year of data, the hospital recently embarked on a review process to identify opportunities for more detailed review with practitioners. This will support the OGH's surgical approach of targeting cuts, rather than making across-the-board reductions. The objective is to allow the hospital to maintain the highest levels of quality and service as the eroding funding situation allows. This paper describes the comprehensive approach taken by the review team to identify populations of patients that were relatively homogeneous and yet showed the greatest practice pattern variances between physicians. The method described provides a template for others to summarize large amounts of data and stratify patient groups for more detailed analysis of the patient care delivery process.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

K A Potvin, M C Leclair. 1995. Comprehensive approach to utilization review based on patient-specific costing data.. https://doi.org/10.1016/s0840-4704(10)60928-3

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

KEEP EXPLORING

Related citations

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗