Family and Community Medicine
University of Pittsburgh
St. Margaret Memorial Hospital,
University of Pittsburgh Medical Center
Master of Science in Clinical Research:
Medical University of South Carolina
Academic Family Medicine Fellowship:
Medical University of South Carolina
- Type 2 Diabetes
- Polycystic Ovary Syndrome
Family Medicine-Smiley Lane
2325 Smiley Lane
Columbia, MO 65202
- Patient Use of Online Health Resources and Communication
- Detection of Type 2 Diabetes and Pre-Diabetes States
- Health Information Technology
- Quality Improvement
- Risk Assessment
- Optimizing Display of Blood Pressure Data to Support Clinical Decision Making
- Patient Readiness to Use Internet Health Resources
- Tool to Assess Likelihood of Fasting Glucose Impairment (TAG-IT): a risk score for impaired fasting glucose and undetected diabetes
MU Family and Community Medicine
MA306 Medical Sciences Building, DC032.00
Columbia, MO 65212
EHR design ebook. Inspired EHRs: designing for clinicians.
In: Zhang J, Walji M, editors. Better EHR: usability, workflow & cognitive support in electronic health records.
Houston, TX: University of Texas School of Biomedical Informatics; 2014. p. 207-217.
Belden JL, Lowrance N, Patel J, Koopman RJ, Moore J, Plaisant C, Johnson T, Sonin J.
Determining primary care physician information needs to inform ambulatory visit note display.
Applied Clinical Informatics. 2014;5(1):169-190.
Clarke MA, Steege LM, Moore JL, Koopman RJ, Belden JL, Kim MS.
Insulin Sensitivity Following Exercise Interventions: Systematic Review and Meta-Analysis of Outcomes Among Healthy Adults.
Journal of Primary Care & Community Health. 2014;5(3):211-222.
Conn VS, Koopman RJ, Ruppar TM, Phillips LJ, Mehr DR, Hafdahl AR.
Development of the PRE-HIT instrument: patient readiness to engage in health information technology.
BMC Family Practice. 2014;15(1):18.
Koopman RJ, Petroski GF, Canfield SM, Stuppy JA, Mehr DR.
Implementing home blood glucose and blood pressure telemonitoring in primary care practices for patients with diabetes: lessons learned.
Telemedicine journal and e-health. 2014;20(3):253-260.
Koopman RJ, Wakefield BJ, Johanning JL, Keplinger LE, Kruse RL, Bomar M, Bernt B, Wakefield DS, Mehr DR.
Initiative to test a multidisciplinary model with advanced practice nurses to reduce avoidable hospitalizations among nursing facility residents.
Journal of Nursing Care Quality. 2014;29(1):1-8.
Rantz MJ, Alexander G, Galambos C, Vogelsmeier A, Popejoy L, Flesner M, Lueckenotte A, Crecelius C, Zwygart-Stauffacher M, Koopman RJ.
Successful weight loss: how information technology is used to lose.
Telemedicine journal and e-health. 2014;20(2):144-151.
Shigaki CL, Koopman RJ, Kabel A, Canfield SM.
Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes.
Telemedicine journal and e-health. 2014;20(3):199-205.
Wakefield BJ, Koopman RJ, Keplinger LE, Bomar M, Bernt B, Johanning JL, Kruse RL, Davis JW, Wakefield DS, Mehr DR.
Health information needs, sources, and barriers of primary care patients to achieve patient-centered care: a literature review.
Health Informatics Journal. 2015. DOI:10.1177/1460458215602939.
Clarke MA, Moore JL, Steege LM, Koopman RJ, Belden JL, Canfield SM, Meadows SE, Elliott SG, Kim MS.
An academic health system: University of Missouri Health System (UMHS), Columbia, Missouri.
In: Higgins TC, Crosson J, Peikes D, McNellis R, Genevro J, Meyers D, editors. Using health information technology to support quality improvement in primary care. Rockville, MD: Agency for Healthcare Research and Quality; 2015. p. 9-11.
Hogan TM, Koopman RJ.
Physician information needs and electronic health records (EHRs): time to reengineer the clinic note.
Journal of the American Board of Family Medicine: JABFM. 2015;28(3):316-323.
Koopman RJ, Steege LM, Moore JL, Clarke MA, Canfield SM, Kim MS, Belden JL.
A new paradigm of technology-enabled ‘vital signs’ for early detection of health change for older adults.
Rantz MJ, Skubic M, Popescu M, Galambos C, Koopman RJ, Alexander GL, Phillips LJ, Musterman K, Back J, Miller SJ.
Understanding the exercise habits of residents and attending physicians: a mixed methodology study.
Family Medicine. 2015;47(2):118-123.
Williams AS, Williams CD, Cronk NJ, Kruse RL, Ringdahl EN, Koopman RJ.
For the more than 100 million patients with chronic conditions in our country, collaborating with their health care team is part of effective, high-quality care. Health information technology can play an important role in improving this care through patient-physician communication, clinical decision support, and shared decision making.
DR. KOOPMAN is committed to identifying and promoting electronic health record design that makes it easy for patients and physicians to understand patient data. Her research focuses on how patients and physicians together can use a clear display of patient information to make better shared decisions to improve health.