Identifying best practice through benchmarking and outcome measurement.
Collecting and analyzing various types of data are essential to identifying areas for improvement. Data collection and analysis are routinely performed in hospitals and are even required by some regulatory agencies. Realization of the full benefits, which may be achieved through collection and analysis of data, should be actively pursued to prevent a meaningless exercise in paperwork. Internal historical comparison of data may be helpful but does not achieve the ultimate goal of identifying external benchmarks in order to determine best practice. External benchmarks provide a means of comparison with similar facilities, allowing the identification of processes needing improvement. The specialty of ophthalmology presents unique practice situations that are not comparable with other specialties, making it imperative to benchmark against other facilities where quick surgical case time, efficient surgical turnover times, low infection rates, and cost containment are essential and standard operations. Important data to benchmark include efficiency data, financial data, and quality or patient outcome data. After identifying facilities that excel in certain aspects of performance, it is necessary to analyze how their procedures help them achieve these favorable results. Careful data collection and analysis lead to improved practice and patient care.
Lanier
Lynne
L
D019985:Benchmarking / Q000592:standards*; D006801:Humans; D017063:Outcome Assessment, Health Care / Q000592:standards*; D017749:Total Quality Management