This Project Grant award from the National Cancer Institute (CFDA 93.393 Cancer Cause and Prevention Research) provides $710,264 to Yale University to quantify patient-provider communication using machine learning to assess its impact on metastatic cancer patients' outcomes. The primary objectives are to: Refine a tool called the Electronic Patient-Provider Communication Miner (EPPCMiner) to more effectively extract granular codes of information seeking, information giving, socio-emotional behavior, partnership building, and shared decision-making from secure messaging data between patients and providers. The tool will be evaluated using data from Yale New Haven Health System, Cleveland Clinic, and the Veterans Administration. Apply the refined EPPCMiner tool to analyze one year of prospective secure messaging data from a cohort of metastatic cancer patients, extracting and characterizing the EPPC codes and examining their associations with patient-reported communication assessments. Assess the impact of the extracted EPPC codes on patient outcomes including adherence, emergency room visits, and hospitalizations. The award period runs from June 6, 2024 to May 31, 2029, with Yale University serving as the primary awardee and conducting the research at its facilities.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $710.3k | 6/6/24 |