Computable Publishing™augments digital publishing with machine-interpretable forms
We now take for granted the use of machine-interpretable knowledge for physical location data, using the Global Positioning System (GPS) to enhance navigation support far beyond what is possible with paper maps or digital representation of images of maps.
Applying a GPS-level functionality to healthcare, biomedical and scientific knowledge can advance and improve the human experience in many ways.
Our mission is to enable standard-based machine-interpretable expression of public knowledge, especially related to healthcare and scientific evidence.
I cannot do all the good that the world needs, but the world needs all the good that I can do.– Jana Stanfield
Brian S. Alper, MD, MSPH, FAAFP, FAMIA leads an effort within Health Level 7 International (HL7(R)) to extend Fast Healthcare Interoperability Resources (FHIR(R)) to Evidence-Based Medicine Knowledge (EBMonFHIR). The FHIR standard is a basis for computable expression of biomedical evidence.
Dr. Alper is the Founder of DynaMed (an evidence-based point-of-care clinical reference), Systematic Literature Surveillance (a systematic method to continuously update DynaMed with best current evidence synthesis), EBMonFHIR (an HL7 project to provide standards for data exchange for clinical research/evidence and recommendations for care), and COVID-19 Knowledge Accelerator (a collective effort with > 25 organizations in 7 countries).
As Founder and Chief Executive Officer of Computable Publishing LLC, Dr. Alper has more than 25 years of experience evaluating clinical research; building teams, processes, systems, products and businesses (within startups and large companies); developing technology standards; and advancing processes for evidence-based medicine, clinical practice guideline development, clinical decision support, and shared decision making.
Computable Publishing™ offers publishers of any type (commercial, nonprofit, academic, government) the ability to extend their published works with computable (machine-interpretable) forms of expression, and users of any type support in using computable data to enhance, improve and achieve desired outcomes.