Kensaku Kawamoto
Biographic Data
| ID | 6069933 |
|---|---|
| NAME | Kensaku Kawamoto |
| GIVEN NAMES | Kensaku |
| FAMILY NAME | Kawamoto |
| SIGNATURE | KAWAMOTO K |
| AFFILIATIONS | Chelsey R. Schlechter, Cho Y. Lam, and David W. Wetter are with the Department of Population Health Sciences, Center for Health Outcomes and Population Equity, Huntsman Cancer Institute, University of Utah, Salt Lake City. Tatyana V. Kuzmenko, Kensaku Kawamoto, Joni H. Pierce, Emerson P. Borsato, Ryan C. Cornia, Leticia Stevens, Richard L. Bradshaw, and Guilherme Del Fiol are with the Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City. Brian Orleans, Jennifer... |
| ORCID | 0000-0003-4282-9338 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Patient Perspectives on a Patient‐Facing Tool for Lung Cancer Screening
BACKGROUND: Individuals with high risk for lung cancer may benefit from lung cancer screening, but there are associated risks as well as benefits. Shared decision-making (SDM) tools with personalized information may provide key support for patients. Understanding patient perspectives on educational tools to facilitate SDM for lung cancer screening may support tool development. AIM: This study aimed to explore patient perspectives related to a SDM…
Reach and Engagement With Population Health Management Interventions to Address Covid-19 Among Safety-Net Health Care Systems
Interventions designed to address COVID-19 needed to be rapidly scaled up to the population level, and to address health equity by reaching historically marginalized populations most affected by the pandemic (e.g., racial/ethnic minorities and rural and low socioeconomic status populations). From February 2021 to June 2022, SCALE-UP Utah used text messaging interventions to reach 107 846 patients from 28 clinics within seven safety-net health car…
P1-164 Effectiveness of a clinical decision support system for breast cancer screening
Introduction A decision support system that identifies women lacking results from previous mammograms in their electronic medical record (EMR) and enables immediate corrective intervention was developed. The purpose of this study was to determine if this system increased mammography rates. Methods In an ongoing cluster randomised pragmatic controlled trial, primary care physicians (PCPs) were allocated to either receive breast cancer screening de…
P1-164 Effectiveness of a clinical decision support system for breast cancer screening
Introduction A decision support system that identifies women lacking results from previous mammograms in their electronic medical record (EMR) and enables immediate corrective intervention was developed. The purpose of this study was to determine if this system increased mammography rates. Methods In an ongoing cluster randomised pragmatic controlled trial, primary care physicians (PCPs) were allocated to either receive breast cancer screening de…
P1-164 Effectiveness of a clinical decision support system for breast cancer screening
Introduction A decision support system that identifies women lacking results from previous mammograms in their electronic medical record (EMR) and enables immediate corrective intervention was developed. The purpose of this study was to determine if this system increased mammography rates. Methods In an ongoing cluster randomised pragmatic controlled trial, primary care physicians (PCPs) were allocated to either receive breast cancer screening de…
Patient Perspectives on a Patient‐Facing Tool for Lung Cancer Screening
BACKGROUND: Individuals with high risk for lung cancer may benefit from lung cancer screening, but there are associated risks as well as benefits. Shared decision-making (SDM) tools with personalized information may provide key support for patients. Understanding patient perspectives on educational tools to facilitate SDM for lung cancer screening may support tool development. AIM: This study aimed to explore patient perspectives related to a SDM…
Reach and Engagement With Population Health Management Interventions to Address Covid-19 Among Safety-Net Health Care Systems
Interventions designed to address COVID-19 needed to be rapidly scaled up to the population level, and to address health equity by reaching historically marginalized populations most affected by the pandemic (e.g., racial/ethnic minorities and rural and low socioeconomic status populations). From February 2021 to June 2022, SCALE-UP Utah used text messaging interventions to reach 107 846 patients from 28 clinics within seven safety-net health car…
Health care (3 works) · Medicine (3 works) · Cancer (2 works) · Internal Medicine (2 works) · Nursing (2 works) · Alternative medicine (1 work) · Biomedical Text Mining and Ontologies (1 work) · Breast cancer (1 work) · Breast cancer screening (1 work) · Business (1 work)