Andrew D. Schreiner, M.D., MSCR

Andrew Schreiner, M.D.

Associate Professor
Department: Medicine
Programs: End Organ Disease

 

 

Research Interests:

Dr. Schreiner completed his MD training at the Ohio State University College of Medicine in Columbus, OH, prior to his residency training at the Medical University of South Carolina, where he also earned his MS in Clinical Research. He subsequently joined the faculty in the Department of Medicine at MUSC as a general internist.

The development of systems utilizing electronic health records (EHR) to facilitate the accurate, durable, consistent and portable exchange of vital patient-specific information has also created new avenues for the systematic evaluation of health care delivery and health care systems function. Dr. Schreiner and his research team, including experts in the worlds of primary care, hepatology, biostatistics, health economics and health policy, seek to harness information technology and inter-professional teamwork to reduce diagnostic error.

Dr. Schreiner’s research goals focus on improving the diagnosis and management of chronic liver disease in primary care. His current work and research career development focuses on diagnosing liver disease in primary care patients with abnormal liver chemistries. Abnormal liver chemistries are among the most frequently encountered findings in medicine, but such abnormalities are inconsistently addressed in primary care. Additionally, chronic liver diseases remain under-diagnosed in this setting. His ongoing work focuses on:

1) Identifying clinical and demographic variables of patients with abnormal liver chemistries associated with specific liver-related diagnoses in primary care.

2) Developing a predictive model to identify patients with abnormal chemistries at risk for liver-related diagnoses is under development.

3) Enhancing primary care physicians’ ability to recognize, integrate, and manage clinical information through predictive analytics to identify liver disease in an accurate and timely fashion, reduce diagnostic error, and improve patient outcomes.

Publications:

PubMed Collection