About the Case Study
The following is derived from actual Performance Differential data of a major university health center Emergency Department. The names have been changed for privacy reasons.
The benchmarking service used by the University’s heath care center used a small sample size of just three patients over several months.
Dr. Hammond is an emergency attendant at a busy University Health Center Emergency Department. His organization uses patient feedback scores to make important administrative decisions surrounding hiring, firing, incentives, and more.
In this study, Dr. Hammond’s average score on an important performance related question is 3.2 out of 5.
Scores taken from such small sample sizes can be drastically skewed by one negative review. These low quality metrics affect both individual providers and the health care organization:
Collect data from a larger population to deliver more precise performance metrics.
Utilizing PerformanceDDx and assistive Patient Champions, 53 surveys collected feedback on the performance of Dr. Hammond. The results show with greater confidence that Dr. Hammond is actually more consistently a 4.1 out 5 performer, and should be regarded as such.
PerformanceDDx and assistive Patient Champions, PerformanceDDx can consistently deliver over 80% of your patients’ voices. This larger sample size gives a more statistically accurate results.
The PerformanceDDx improves organizations beyond performance scores. The platform also delivers: