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.
Conway M, Berg RL, Carrell D, Denny JC, Kho AN, Kullo IJ, Linneman JG, Pacheco JA, Peissig P, Rasmussen L, Weston N, Chute CG, Pathak J. Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms. AMIA Annu Symp Proc. 2011;2011:274-83. Epub 2011 Oct 22. PubMed
Kendall L, Hartzler A, Klasnja P, Pratt W. Descriptive analysis of physical activity conversations on Twitter. CHI 2011 Extended Abstracts, ACM Press.
Satterwhite CL, Yu O, Raebel MA, Berman S, Howards PP, Weinstock H, Kleinbaum D, Scholes D. Detection of pelvic inflammatory disease: development of an automated case-finding algorithm using administrative data. Infect Dis Obstet Gynecol. 2011;2011:428351. Epub 2011 Nov 14. PubMed
Richardson LP, McCauley E, Grossman DC, McCarty CA, Richards J, Russo JE, Rockhill C, Katon W. Evaluation of the Patient Health Questionnaire-9 item for detecting major depression among adolescents. Pediatrics. 2010 Dec;126(6):1117-23. doi: 10.1542/peds.2010-0852. PubMed
Klasnja P, Hartzler A, Powell C, Phan G, Pratt W. Health weaver mobile: designing a mobile tool for managing personal health information during cancer care. AMIA Annu Symp Proc. 2010 Nov 13;2010:392-6.
![]() 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 |