Dr. Wen-Jan Tuan is a bioinformatics and health services research expert in using electronic health records, multi-organizational health data exchange frameworks and big data analytics to improve quality and efficiency of care in the health care delivery system.

His research has focused on the design, implementation and evaluation of evidence-based strategies and policy for supporting patient-centered care continuum and teamwork, value-driven decision making processes and health information technology and telehealth adoption in ambulatory care settings.

In particular, Dr. Tuan develops and uses information-processing theories to understand the cognitive and behavioral responses of clinicians and patients to the adoption of modern virtual health technology and unintended consequences. His research provides empirical-based guidance for the health care industry on how to improve the usability and practicality of virtual care platforms to help patients become better informed, engaged and involved in their care.

His current studies use machine-learning techniques to assess the impacts of system changes on access to and quality of medical care for chronically ill patients and individuals on long-term opioid therapy. His work in developing the primary care panel workload scale and the morphine-equivalent daily dose algorithm has contributed substantially to improving population health management and pain care for individuals on prescribed opioids.

Essentially, Dr. Tuan’s research aims to quantify the effects of differentiated clinical, socioeconomic and technological interventions on care outcomes among subpopulations, identify barriers to health equity and develop innovative approaches for better and safer care.

Dr. Tuan has collaborated with computer engineers to evaluate novel use case scenarios designed to enhance analytic reproducibility and transparency for research using the Common Data Model format. He is also an avid developer for Internet of Things-based connected health applications using Raspberry Pi and other open-source tools to make essential care services more accessible, affordable and sustainable outside typical clinical settings.

Certified Nursing Assistant, State of Wisconsin

Oracle PL/SQL developer certified associate, Oracle Corp.

SAS-certified advanced programmer, SAS Institute

SAS-certified base programmer, SAS Institute

Member, Institute for Computational and Data Sciences - Center for Artificial Intelligence Foundations and Scientific Applications (CENSAI)