Value-Add Services

Incoming data sources collected from HIE participants are processed, validated, standardized, and optimized with a number of value-add services to make our data outputs even more powerful.


Processing & Validation
At the core of our Rhapsody data integration platform is a highly performant service that accepts, routes, maps, translates, and cleanses incoming data sets according to custom configurations in order to assure high-quality data outputs. Our experienced integration analysts work closely with participating providers during the onboarding phase to verify the completeness and consistency of their incoming data sets before continuing downstream processing; in operations, our analysts monitor real-time data quality validation procedures to ensure the creation of a reliable and robust resource.


Terminology Standardization & Flagging
Non-standard data values can be difficult to work with – to query, to retrieve, to report. Our terminology services engine, TermAtlas™, overcomes these challenges by translating local coding norms into industry-standard values to allow for the delivery of high-quality data sets. A proven medical terminology engine, the software offers a systematic way of collecting, standardizing, and delivering critical information in a format understood by all. Additionally, the service allows value sets of interest to be blocked or sequestered, knowing the importance of keeping sensitive information safe and secure.

Enterprise Master Patient Index

Enterprise Master Patient Index
The ability to track individual patients – and their clinical information – across facilities and over time is why health information exchanges are so powerful. We use proven software developed by IBM Initiate to construct probabilistic and deterministic matching measures to identify records that belong together. That way, even if a patient’s demographic attributes change over time (e.g., they change their name, physical address, phone number, etc.), we are able to compare, search, match, and link their records to ensure that their medical record is as complete, comprehensive, and up-to-date as possible.


Attribution Algorithms
Once we have created the foundation for identifying and tracking individual patients across facilities and over time, we can begin to implement attribution algorithms designed to connect them to specific healthcare providers and/or facilities. If we know that a patient has seen a certain provider, and that provider serves at a certain facility, we are able to generate performance measures, predictive risk models, and other analytic and reporting solutions that enable evaluation of the quality and utilization of services delivered across each level of treatment more accurately and reliably.

Linkage Procedures
It’s a well-known fact that the combination of clinical data with other critical sources not only unlocks new frontiers of data analysis, reporting, and research, but creates a resource that enables healthcare providers to be even more confident in their operational workflows and decision-making abilities. For that reason, the HIE links our participating providers’ clinical-based repositories with MaineCare (Medicaid) claims, social determinant information (e.g., Medicaid transportation codes, CPT Z-codes), survey data, and more.


TermAtlas™ was designed to meet a need. Standardizing disparate data sources one uncommon definition at a time, the software ensures high-quality data sets for downstream analytics through a robust terminology services engine.