Formula for surgical practice resuscitation in an academic medical center

Am J Surg. 2000 May;179(5):417-21. doi: 10.1016/s0002-9610(00)00359-7.

Abstract

Background: Managing patient referrals for surgical consultation in an academic practice has traditionally emphasized clinical rather than service expertise. However, assuring both efficiency and accuracy in the initial consultation have become critical early measures of quality care.

Methods: In partnership with the academic medical center administration, current practice was analyzed. Performance and communication standards were established around an ideal patient experience. A new ambulatory consultation process was developed; and flowcharting methods for resource allocation, statistical process control, and pre-visit data collection were used to reduce patient administrative time. Automated referral reports engaged referring physicians throughout the consultation.

Results: Accurate insurance and referral authorization have been provided for all patients, including the 4% who are underinsured. Patient, provider, and referring physician satisfaction has increased significantly. Staff time investment has progressively declined from 52 +/- 11 (95% confidence) minutes to 34 +/- 10 minutes for most patients. Realignment of tasks has reduced the administrative time spent by the patient by 32% without compromising clinical time. New patient volume increased by 29% per year, maintaining regional market share.

Conclusions: Expertise in the process of consultation delivery is feasible and will be increasingly critical to the survival of academic surgical practice in a competitive market.

MeSH terms

  • Academic Medical Centers / organization & administration*
  • Algorithms
  • Ambulatory Surgical Procedures*
  • Decision Trees
  • Economic Competition
  • Efficiency, Organizational
  • General Surgery / organization & administration*
  • Hospital Information Systems
  • Humans
  • Marketing of Health Services
  • Medical Records Systems, Computerized
  • Organizational Objectives
  • Outcome and Process Assessment, Health Care / organization & administration*
  • Practice Management, Medical / organization & administration*
  • Program Evaluation
  • Quality Indicators, Health Care
  • Referral and Consultation / organization & administration*
  • Software Design
  • Total Quality Management / organization & administration*
  • Washington