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.
Nielson CM, Petrik AF, Jacob L, Vollmer WM, Keast EM, Schneider JL, Rivelli JS, Kapka TJ, Meenan RT, Mummadi RR, Green BB, Coronado GD. Positive predictive values of fecal immunochemical tests used in the STOP CRC pragmatic trial. Cancer Med. 2018 Sep;7(9):4781-4790. doi: 10.1002/cam4.1727. Epub 2018 Aug 13. PubMed
Curran GM, Freeman PR, Martin BC, Teeter BS, Drummond KL, Bradley K, Thannisch MM, Mosley CL, Schoenberg N, Edlund M. Communication between pharmacists and primary care physicians in the midst of a U.S. opioid crisis. Res Social Adm Pharm. 2019 Aug;15(8):974-985. doi: 10.1016/j.sapharm.2018.08.006. Epub 2018 Aug 10. PubMed
Glass JE, Bobb JF, Lee AK, Richards JE, Lapham GT, Ludman E, Achtmeyer C, Caldeiro RM, Parrish R, Williams EC, Lozano P, Bradley KA. Study protocol: a cluster-randomized trial implementing Sustained Patient-centered Alcohol-related Care (SPARC trial). Implement Sci. 2018;13(1):108. doi: 10.1186/s13012-018-0795-9. PubMed
Coronado GD, Petrik AF, Vollmer WM, Taplin SH, Keast EM, Fields S, Green BB. Effectiveness of a mailed colorectal cancer screening outreach program in community health clinics: the STOP CRC cluster randomized clinical trial. JAMA Intern Med. 2018 Sep 1;178(9):1174-1181. doi: 10.1001/jamainternmed.2018.3629. PubMed
Wang Y, Tancredi D, Miglioretti DL. Joint indirect standardization when only marginal distributions are observed in the index population. J Am Stat Assoc., 2018 Oct 09 [Epub ahead of print]. 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 |