We are preparing a proposal for NIH funding for a project called “Setting Evidence-Based Medicine on Fast Healthcare Interoperability Resources (EBMonFHIR) as the data standard for biomedical research”
The Specific Aims include “This project will demonstrate the need and potential impact of the interoperability standard through pilot activities in the community producing systematic reviews of research literature and with attention to research on the measurement of frailty in postmenopausal women.”
Aim 1. Conduct a systematic review of research on the measurement of frailty in postmenopausal women, and provide all data in the EBMonFHIR data standard form.
Aim 2. Include the data from the frailty measurement systematic review in the data repositories of participating support systems for systematic reviewers.
Aim 3. Achieve a critical degree of usage of the EBMonFHIR standard among systematic reviewers.
Aim 4. Certify the EBMonFHIR standard through the HL7 standards development process.
Aim 5. Measure the quality of evidence reported using the EBMonFHIR standard.
Aim 6. Measure the rate of scientific knowledge transfer regarding frailty measurement in postmenopausal women.
We need Letters of Support: Applicants are encouraged to provide individual letters of support (no more than 10) from collaborators and/or potential users in the relevant research community. These letters should provide details on the nature of the proposed interaction/collaboration and describe how the proposed new data resource will benefit their research.
We will gather as many letters as we can and include the best 10 letters in the application, though note how many letters we received to demonstrate widespread community support.
Feel free to view the proposed Research Strategy or full overview of the application effort, and please share letters (PDF form or word document draft to become a PDF) by September 16 (to be included in the total count), ideally by August 30 (to facilitate coordination with the application’s Research Strategy).
Thank you. This funding proposal looks very promising to support the EBMonFHIR effort that we started in 2018 to provide interoperability for the ‘Evidence Ecosystem’.
Brian
Brian S. Alper, MD, MSPH, FAAFP, FAMIA
CEO, Computable Publishing LLC
bal...@computablepublishing.com
Making Science Machine-Interpretable
http://computablepublishing.com
Lead, HEALTH EVIDENCE KNOWLEDGE ACCELERATOR
President, Scientific Knowledge Accelerator Foundation
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