Research on health informatics at Kaiser Permanente Washington focuses on developing and using health information technology (IT) to transform health care delivery. By testing new paradigms of care that provide more opportunities to engage patients, this research is supplying valuable evidence that is helping shape federal policy and guiding innovative redesign of health care.
“We’re working to understand how to make health IT practical so patients and care teams find it useful and engaging,” explained Kaiser Permanente Washington Health Research Institute (KPWHRI) Senior Investigator James Ralston, MD, MPH. “We want to find ways to use information technologies to support patients and providers together, both inside and outside the office.”
Integral to this support is designing technologies that are user-friendly and meet the needs of both patients and providers. By applying human-centered methods that focus on needs, use, and usability, KPWHRI researchers inform the design of health IT with direct participation from users.
Groundbreaking methodological work by KPWHRI health informatics researchers includes developing natural language processing (NLP) to analyze text such as notes and written reports in electronic health records (EHRs). Assistant Investigator David Carrell, PhD, leads in the area of using NLP and machine learning to identify patient phenotypes, or specific health characteristics such as possible heart disease, risk of opioid overdose, or suggestion of colon cancer. This information can assist researchers in studying how genetics and other factors influence disease.
Other examples of KPWHRI health informatics research include projects using EHRs and secure electronic communications such as:
Examples of KPWHRI research in mobile health (mHealth) and user-centered design include:
“Our studies on using health IT to improve care are showing that we can achieve better outcomes when we shift care from the doctor’s office to where people live: in their homes—and online,” said Senior Investigator Beverly B. Green, MD, MPH.
Terry MB, Buist DS, Trentham-Dietz A, James-Todd TM, Liao Y. Nonsteroidal anti-inflammatory drugs and change in mammographic density: a cohort study using pharmacy records on over 29,000 postmenopausal women. Cancer Epidemiol Biomarkers Prev. 2008;17(5):1088-95. PubMed
Strecher VJ, McClure JB, Alexander GL, Chakraborty B, Nair VN, Konkel JM, Greene SM, Collins LM, Carlier CC, Wiese CJ, Little RJ, Pomerleau CS, Pomerleau OF. Web-based smoking-cessation programs: results of a randomized trial. Am J Prev Med. 2008;34(5):373-81. PubMed
Jones W, Klasnja P, Civan A, Adcock, M. The personal project planner: planning to organize personal information. In Proceeding of the ACM SIGCHI Conference on Human Factors in Computing Systems. (CHI’08) 2008 Apr:681-4.
Smith-Bindman R, Miglioretti DL, Rosenberg R, Reid RJ, Taplin SH, Geller BM, Kerlikowske K. Physician workload in mammography. AJR Am J Roentgenol. 2008;190(2):526-32. PubMed
Strecher VJ, McClure J, Alexander G, Chakraborty B, Nair V, Konkel J, Greene S, Couper M, Carlier C, Wiese C, Little R, Pomerleau C, Pomerleau O. The role of engagement in a tailored web-based smoking cessation program: randomized controlled trial. J Med Internet Res. 2008;10(5):e36. PubMed
![]() James D. Ralston, MD, MPHSenior Investigator |
![]() Jennifer B. McClure, PhDDirector, Investigative Science |
![]() Beverly B. Green, MD, MPHSenior Investigator |
![]() Katharine A. Bradley, MD, MPHSenior Investigator |
![]() Paula Lozano, MD, MPHSenior Investigator; Director, ACT Center |
![]() Yates Coley, PhDAssociate Biostatistics Investigator |
![]() Brian D. Williamson, PhDAssistant Biostatistics Investigator |
![]() Annie Hoopes, MD, MPHActing Assistant Investigator |
![]() Claire Allen, MPHManager, Collaborative Science |
![]() Annie Piccorelli, PhDSenior Collaborative Biostatistician |