PubMed Health⌕ Search

PubMed · 12371018

Physician office productivity improvement through operations analysis and process redesign.

Abstract

The operation of any physician practice is a complicated process with many different functions and systems. Though frequently overlooked, operations improvements and efficiencies are possible if a participative, process-oriented approach is used. An actual case study of a "hospital system-owned" primary care physician group practice is presented. The methods of analysis and specific actions for improvement in operational efficiency and quality are described in detail. Opportunities for cost reduction, increased revenues, and increased patient and physician satisfaction are identified.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Eugene L McCarthy. 2002. Physician office productivity improvement through operations analysis and process redesign.. https://doi.org/10.1097/00004479-200210000-00007

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

KEEP EXPLORING

Related citations

Performance of different radiotherapy workload models.

PURPOSE: The purpose of this study was to evaluate the performance of different radiotherapy workload models using a prospectively collected dataset of patient and treatment information from a single center. METHODS AND MATERIALS: Information about all individual radiotherapy treatments was collected for 2 weeks from the three linear accelerators (linacs) in our department. This information included diagnosis code, treatment site, treatment unit, treatment time, fields per fraction, technique, beam type, blocks, wedges, junctions, port films, and Eastern Cooperative Oncology Group (ECOG) performance status. We evaluated the accuracy and precision of the original and revised basic treatment equivalent (BTE) model, the simple and complex Addenbrooke models, the equivalent simple treatment visit (ESTV) model, fields per hour, and two local standards of workload measurement. RESULTS: Data were collected for 2 weeks in June 2001. During this time, 151 patients were treated with 857 fractions. The revised BTE model performed better than the other models with a mean [observed -predicted] of 2.62 (2.44-2.80). It estimated 88.0% of treatment times within 5 min, which is similar to the previously reported accuracy of the model. CONCLUSION: The revised BTE model had similar accuracy and precision for data collected in our center as it did for the original dataset and performed the best of the models assessed. This model would have uses for patient scheduling, and describing workloads and case complexity.

Appointments and Schedules↗