The presenters on Day 1 described the characteristics, use cases, achievements, challenges, and recommendations of their provider directory implementations. Some of the most important presentation points from statewide implementations, nationwide exchange networks, and health plan initiatives are listed below.

Statewide Provider Directories

Four states – Oregon, Rhode Island, California, and Michigan – presented information on the provider directory implementations or plans in their states. In all four cases, the directories were statewide implementations related to or operated by statewide health information exchange initiatives.

Health Plans

Blue Shield of California and CAQH presented information on provider directory created by and for health plans and insurers. The primary use case is to facilitate consumer access to lists of and information on providers that are within a specified health plan.

Nationwide Exchange Networks

The Sequoia Project and DirectTrust presented on their provider directory initiatives. For both, the primary use case was the discovery of service information in support of health information exchange.

See Appendix F, Provider Directory Workshop Materials, for more detail on the presented material and Workshop discussions, and Appendix G, Provider Directory Workshop Demonstration, for software materials for the demonstration presented on Day 1.

Summary

Presenters agreed that provider directories are critical to many stakeholders. However, not all stakeholders value the same use cases equally, and not all stakeholders define provider directories the same way. Different stakeholders provide different data to serve different constituents using different architectures and different business processes.

Presenters described different architectures, from centralized directories managed centrally, centralized directories with distributed management, federated directories, and directories that aggregated information into a record.

Presenters also agreed that data quality is important, especially for critical data attributes. However, not all stakeholders and use cases consider the same data attributes critical. Despite these differences, there exists great opportunities to reduce effort and increase efficiency and quality by coordinating initiatives. Presenters described many models for managing data quality, from centralized data scrubbing processes, distributed processes for a centralized repository, and reliance on the processes of directory participants perhaps reinforced by policy. Health plans and insurers, in particular, have regulator mandates and reporting requirements concerning data quality.

Navigation