David Taylor, PhD, is a Senior Medical Informaticist in the Homer Warner Center. He received a PhD in Biomedical Informatics from the University of Utah School of Medicine researching colorectal cancer risk prediction, in particular the impact of family history using the Utah Population Database (UPDB). His MS work was focused on user-centered design, building a web-based tool for parents to screen their pre-school aged children for ambylopia, an eye disorder. Prior to working at Intermountain Healthcare, Dr. Taylor held positions at Partners Healthcare in Boston, MA and GE Healthcare in Portland, OR.
His primary interest is how information technology can assist individuals in making healthy behavior choices. This includes diverse topics such as patient generated data, remote monitoring/health tracking, telehealth, patient reported outcomes, mobile devices and apps, virtual health assistants, consumer facing decision support, and improving patient/provider communication.
Areas of Focus
- Informatics support for the Intermountain Musculoskeletal Clinical Program, assisting with the implementation of the Cerner iCentra Electronic Health Record (EHR) for orthopedic and sports medicine practices
- Team member of a pilot using Omada Health for diabetes prevention
- Involved in efforts to better capture data electronically from patients, for example, a Cerner Clipboard pilot to allow patients to complete forms through the patient portal
- Facilitating the capture and analysis of Fitbit physical activity data for pulmonary patients in a research study on the effect of different indoor air filters
Significance to Patient Care
Our work supporting clinical programs, particularly with the implementation of the iCentra EHR, directly impacts the care of patients. We work collaboratively with Cerner to configure and enhance the functionality of the software to better meet the needs of clinicians, staff, and patients. Other work we're doing on the influence of IT on behavior change we hope will have a real impact on Intermountain patients in the near future, as we adopt or build technologies and evaluate their use.
Taylor DP, Cannon-Albright LA, Sweeney C, Williams MS, Haug PJ, Mitchell JA, Burt RW. Comparison of compliance for colorectal cancer screening and surveillance by colonoscopy based on risk. Genetics in Medicine. 2011;13(8):737-43.
Taylor DP, Stoddard GJ, Burt RW, Williams MS, Mitchell JA, Haug PJ, Cannon-Albright LA. How well does family history predict who will get colorectal cancer? Implications for cancer screening and counseling. Genetics in Medicine. 2011; 13(5):385-91.
Taylor DP, Burt RW, Williams MS, Haug PJ, Cannon-Albright LA. Population-based family-history-specific risks for colorectal cancer: a constellation approach. Gastroenterology. 2010 Mar;138(3):877-885.
Taylor DP, Cannon-Albright LA, Burt RW, Jones JP, Williams MS, Haug PJ. Risk modeling of colorectal cancer using machine learning algorithms on a hybridized genealogical and clinical dataset (accepted and presented). Proceedings of the 2009 Annual Fall Symposium. Washington, DC, USA: AMIA.
Hulse NC, Taylor DP, Wood GM, Haug PJ. Analysis of family health history data collection patterns in consumer-oriented web-based tools. Proceedings of the 2008 Annual Fall Symposium; 982. Washington, DC, USA: AMIA.
Taylor DP, Hulse NC, Wood GM, Haug PJ, Williams MS. Ideal features for a patient-entered family history and risk assessment tool. Proceedings of the 2008 Annual Fall Symposium; 1152. Washington, DC, USA: AMIA.
Olsha-Yehiav M, Palchuk MB, Chang FY, Taylor DP, Schnipper JL, Linder JA, Li Q, Middleton B. Smart Forms: building condition-specific documentation and decision support tools for ambulatory EHR. AMIA Annu Symp Proc. 2005;1066.
Taylor DP, Coakley A, Reardon G, Kuperman GJ. An analysis of inpatient nursing communications needs. Medinfo 2004; 2004:1393-7.
Taylor DP, Bray BE, Staggers N, Olson RJ. User-centered Development of a Web-based Preschool Vision Screening Tool. Proc AMIA Symp. 2003; 2003:654-8.