2019 MDEpiNet Priorities

2019 MDEpiNet Priorities

MDEpiNet’s priorities for 2019 were determined in collaboration with stakeholders at the 2018 MDEpiNet Annual Meeting.

Surveillance
Surveillance is one of the core areas of activity within MDEpiNet, and we are the main international educational and research organization dedicated to device outcomes research and epidemiology. We plan to launch an international task force on surveillance within MDEpiNet to clarify both the growing role of real world evidence and what it means to conduct ‘surveillance’ from our perspective. This activity will likely be conducted within the MDEpiNet Scientific Oversight Committee which oversees, facilitates, and coordinates the proposals, progress, and deliverables of our many disease-based working groups. Additionally, the National Evaluation System for health Technology Coordinating Center is developing national guidance which will inform our work.
Data Linkages
MDEpiNet’s vision for data linkage is to join together device registries (which contain information about device attributes, clinical information, and short-term follow-up) with Administrative/Claims/Electronic Health Record data (which contain long-term follow-up, cross-institution follow-up, and additional procedure/medication). These data linkages are an important component of strengthening Coordinated Registry Networks and creating value among learning communities by enabling long-term device evaluation, active surveillance, and quality improvement. A key priority area for MDEpiNet is to consider making investments in computing and data access in order to address strategic, priority questions.
Device Identification
Unique device identifiers are globally unique numbers for devices that are assigned by manufacturers, linked to the FDA AccessGUDID (Access to Global Unique Device Identification Database), and scanned and stored at the point of care to provide better safety and outcomes information. Unique device identifiers are a standard identifier for improving real world evidence. As a result, MDEpiNet has identified a need to determine barriers to device identification integration and adoption as well as establish action plans to engage stakeholder groups to address the current barriers to device identification adoption.