Gartner Business Intelligence Excellence Award Semi-Finalist Southeast
31 Slides1.85 MB
Gartner Business Intelligence Excellence Award Semi-Finalist Southeast Texas Medical Associates, LLP Dr. James L. Holly, MD CEO, Southeast Texas Medical Associates, LL May 3, 2011
SETMA’s Model of Care 1. Performance Tracking – one patient at a time 2. Performance Auditing – by panel or population 3. Analysis of Provider Performance Data 4. Public Reporting by Provider Name 5. Quality Assessment/Performance Improvement
Clusters and Galaxies A “cluster” is seven or more quality metrics for a single condition, i.e., diabetes, hypertension, etc. A “galaxy” is multiple clusters for the same patient, i.e., diabetes, hypertension, lipids, CHF, etc. Fulfilling a single or a few quality metrics does not change outcomes, but fulfilling “clusters” and “galaxies” of metrics at the point-of-care can and will change outcomes.
Auditing Performance After the Visit
Auditing Performance After the Visit
Auditing Performance After the Visit Unlike a single metric, such as “was the blood pressure taken,” which will not improve care, fulfilling and then auditing a “cluster” or a “galaxy of clusters” in the care of a patient will improve treatment outcomes and will result in quality care.
Auditing Performance After the Visit What is most often missing in quality improvement initiative is realtime, auditing with comparative display of results, and public reporting.
Auditing Performance After the Visit SETMA employed IBM’s Business Intelligence software, COGNOS to audit provider performance and compliance. COGNOS allows all providers to: 1. Display their performance for their entire patient base 2. Compare their performance to all practice providers 3. See outcome trends to identify areas for improvement
Auditing Performance After the Visit SETMA contracted with LPA Systems ( www.lpa.com) to build our auditing tools. LPA designed a data warehouse to minimize the impact on our production servers.
Analyzing Provider Performance LPA used SQL Server Integration Services (SSIS) to clean and scrub the hundreds of data points we needed for our audit rather than having to process the millions of data points contained in our EHR. SSIS scrubs and preloads our EHR data into the warehouse, which gives us both speed in reporting and
Auditing Performance After the Visit
Auditing Performance After the Visit
Auditing Performance After the Visit
Auditing Performance After the Visit Beyond how one provider performs (tracking and auditing), SETMA looks at data as a whole (analyzing) from which to develop new strategies for improving patient care. We analyze patterns which may explain why one population is not to goal while another is. Some of the parameters, we analyze are: Frequency of visits Frequency of key testing Number of medications prescribed Were changes in treatments made, if patient not to goal
Analyzing Provider Performance
Analyzing Provider Performance
Analyzing Provider Performance
Analyzing Provider Performance Raw data can be misleading. For example, with diabetes care, a provider may have many patients with very high HgbA1cs and the same number with equally low HgbA1cs which would produce a misleadingly good average. As a result, SETMA also measures the: Mean Median Mode Standard Deviation
Analyzing Provider Performance SETMA’s average HgbA1c as been steadily improving for the last 10 years. Yet, our standard deviation calculations revealed that a subset of our patients were not being treated successfully and were being left behind. By analyzing the standard deviation of our HgbA1c we have been able to address the patients whose values fall far from the average of the rest of the clinic.
Public Reporting of Performance One of the most insidious problems in healthcare delivery is reported in the medical literature as “treatment inertia.” This is caused by the natural inclination of human beings to resist change. As a result, when a patient’s care is not to goal, often no change in treatment is made. To help overcome this “treatment inertia,” SETMA publishes all of our provider auditing (both the good and the bad) as a means to increase the level of discomfort in the healthcare provider and encourage performance improvement.
Public Reporting of Performance NQF Diabetes Measures
Public Reporting of Performance NQF Diabetes Measures
Public Reporting of Performance NCQA Diabetes Recognition
Quality Assessment & Performance Improvement Quality Assessment and Performance Improvement (QAPI) is SETMA’s roadmap for the future. With data in hand, we can begin to use the outcomes to design quality initiatives for our future. We can analyze our data to identify disparities in care between Ethnicities Socio-Economic Groups Age Groups Genders
Quality Assessment & Performance Improvement SETMA’s Model of Care along with the technology of COGNOS -- this pairing of medicine and technology -- can transform the delivery of healthcare and is worthy of being adopted by others.
Quality Assessment & Performance Improvement By expanding SETMA’s COGNOS Project, we are also designing a quality improvement initiative for the elimination of preventable readmissions to the hospital.
www.jameslhollymd.com Please visit us at www.jameslhollymd.com where you will find all of our public reporting, electronic patient management and medical home materials.
www.jameslhollymd.com
www.jameslhollymd.com
The Future The future of quality metrics and the auditing of provider performance are constantly evolving. SETMA’s COGNOS Project allows us to both participate in the future and to define it; and, ultimately to pay attention to the things that matter and the things that will result in improved health for all of our patients.
