PARTNERSHIP

Linked Health Data Foundation is solely focused on insuring that the data used to support scientific innovation, medical treatment, and patient care is of high quality, can be utilized and validated, and is accessible to all who are qualified to use it. We do this through the partnership and commitment of leading organizations at the front line of science, medicine, healthcare and technology. It is through their commitment that measureable, accountable, and trusted best practice utilization, data quality criteria, and evidence validation will provide the infrastructure needed for real time decision support.

This work will cumulate into a Health Data Exchange that will provide a commons for data suppliers and users to exchange cost effective, trusted patient health and claims data in order to accelerate advancements in science, medicine and healthcare. This Health Data Exchange will allow the cost of data access, quality control, and validation to be shared so that all organizations, despite size and geographic local, can increase the capacity and capability to improve human life.

Our Role

Linked Health Data Foundation is not another policy group; we are actively engaging with experts to comprehensively support scientific breakthroughs, evidence based standards of patient centered care, and the continuity of care within the entire ecosystem. Our activities are focused on:

Comprehensive research of every organization, department, and professional that use patient and claims data to formulate hypothesis, evidence, outcomes, treatments, and front-line care.
Actively engaging data suppliers and users to create best practice, quality standards, analysis validation, and cost effective data access.
Collaboration with organizations, university informatics departments, and centers of excellence to drive computational analysis excellence that can be validated and trusted by front-line, non-technical professionals.
Producing education and training resources specific to the diverse front-line data user that rapidly advance the capacity and capability of non-technical professionals in the selection, management, and utilization of health data.
Expert development and management of a Health Data Exchange that allows cost effective access to critical data resources to every size of organization that is qualified to use it.

Our Partners

Health Data Business Alliance

An elite group of experts responsible for professional and technical needs assessment, data governance criteria, and a universal solution to data access through the design and launch of a Health Data Exchange. This group represents the entire continuum of care from bench to bedside.

Members include operational and technical experts from:

Life Science Companies
Hospital Systems
Insurance Providers
Health IT Companies

Advisory Board for Leadership Exchange (ABLE)

An organized partnership with expert organizations that support the front-line professionals who require and use data to the benefit of human health. This group is responsible for uncovering and communicating the specific needs of the scientific and medical professional to help shape accountable, measureable, and realistic standards for data quality, utility, validation, and access.

Members include leadership from:

Patient and disease specific nonprofit organizations
Scientific Trade and Professional Organization
Medical Associations
Federal and private institutions involved in data policy and access.

Health Data Analytics Research Group

An expert group of informatics, data modeling and analysis, and statistical experts that partner with our Alliance member companies to research and develop advanced computational analytics. Project partnerships are developed based on the best matched alignment of organizational need and academic expertise.

Members include leadership from:

Accredited and well-respected university informatics department heads
Leading researchers in statistical, mathematical, and analytics modeling
Data analysts from leading scientific and medical organizations

The benefits of electronic data capture and computational analysis can only be realized when professionals are confident in the data and the utilization of it.

While data is critical to diverse operational and research functions within the healthcare ecosystem, the need for data quality, utility and access is universal.