Specialized advice and guidance for your success
With decades of experience, MHDC brings a deep understanding of purposeful collaboration, data and technology innovation, operations and workflows, industry trends, government policy, and leading practices to advance your business objectives.
To help our clients with their health data initiatives, MHDC staff combine knowledge, skills, and experience in the following:- Health technology standards, workflows, and regulations
- Data specification, data mapping, and data governance
- Project evaluation, implementation, and improvement
- State and regional healthcare ecosystems
- Practical problem-solving
- Customized training, documentation, analysis, and reports
- Project management, convening for the collective benefit, and relationship building
What we can do
- Educate staff and partners in data and data standards
- Educate staff and partners in the collection and governance of health equity data
- Access the data essential to exchange, generally or for specific use cases
- Evaluation of existing data specifications for completeness, compliance, and usability
- Clarify/tighten the definitions from existing implementation guides, or IGs, to develop compliant versions with more specificity and semantic consistency
- Conduct technology, data, process, and culture assessments and action plans
- Develop communication strategies, including conveying technology concepts to the non-technical audience
- Digitize prior authorization rules in FHIR-conformant formats
- Turn quality measures into FHIR-conformant measures or mapping the data needed for measures into FHIR resources
- Digitize SDOH or other questionnaires into FHIR-conformant formats
- Explore/report on the requirements and impact of specific laws, regulations, or other mandates that affect health data, health IT, and healthcare more generally
- Conduct impact evaluations of how and why federal regulations affect affect specific health data and health IT projects
- Evaluate the feasibility of using FHIR in new projects
- Evaluate the maturity of ongoing health data/health IT projects
- Explore the effectiveness of healthcare projects and how to improve them
- Evaluate the payer, provider, and patient impact of particular data projects
- Assist in incorporating patient experience data and patient access to data in projects from the start
- Implement health equity by design in projects and programs
- Conduct test design and test planning for specific projects
- Identify and detail unforeseen edge cases in project design
- Explore how to digitize analog projects or modernize programs using older technology
- Launch pilot projects based on specific implementation guides, or IGs
- Enable collaboration of Massachusetts payers/providers in innovative and valued interoperability prototypes/pilots/starter projects
- Develop clinical oversight boards for specific clinically driven, evidence-based interoperability projects
- Apply expertise on the Massachusetts marketplace, local demographics, and how things operate here to projects
- Understand local payers, providers, vendors, associations, health non-profits, and their leadership
- Understand and explain the federal health data and health IT regulatory landscape and the impact of non-HHS regulations on health data and health IT
Recent Projects
Assisting a major health plan, in collaboration with its provider networks, to implement common data standards for collecting and sharing race and ethnicity data.
Advancing Automation - In collaboration with the Network for Excellence in Health Innovation (NEHI), facilitating a multi-stakeholder initiative to automate open, standards-based prior authorization for all of Massachusetts within three years.
Testing Automation – Along with a major health plan, a specialty hospital, and a technology services provider, implementing a scalable prototype of the DaVinci use case for Coverage Requirements Discovery (CRD), the first phase of prior authorization automation.
Convened payers and providers to design and implement a common data specification for quality measures.