Kawamoto, Kensaku

Scalable Decision Support and Shared Decision Making for Lung Cancer Screening


Researchers successfully developed Decision Precision+, a shared decision making tool that increases appropriate screening for lung cancer, as a SMART on FHIR app that pulls data from the electronic health record to enable providers to have an individualized risk-benefit discussion with at-risk patients on whether lung cancer screening is right for them.

Grant Number
R18 HS026198
Principal Investigator(s)

Contemporary clinical decision support standards using Health Level Seven International Fast Healthcare Interoperability Resources.

Principal Investigator

Implementing lung cancer screening in primary care: needs assessment and implementation strategy design.

Principal Investigator

Inaccuracies in electronic health records smoking data and a potential approach to address resulting underestimation in determining lung cancer screening eligibility.

Principal Investigator

Evaluation in life cycle of information technology (ELICIT) framework: Supporting the innovation life cycle from business case assessment to summative evaluation.

Principal Investigator

Evaluation of revised US preventive services task force lung cancer screening guideline among women and racial/ethnic minority populations.

Principal Investigator

Establishing a multidisciplinary initiative for interoperable electronic health record innovations at an academic medical center.

Principal Investigator

Transforming Guidelines into Action: Clinical Decision Support at the Point of Care

Event Date

AHRQ hosted a presentation highlighting how panelists implemented patient-focused clinical decision support (CDS) tools using modern, shareable, and interoperable technologies.  During the webinar, expert speakers shared findings from their own research on how CDS tools can present healthcare providers with knowledge and patient-specific information at the point of care to enhance clinical workflow, outcomes, and quality of care.