Translate, interpret and aggregate data successfully
Healthcare providers don’t lack for patient data. They know that data can lead to better patient care, informed clinical decisions, lower costs and increased research opportunities. The challenge is to aggregate the data into information that can be used and shared with confidence.
Data in an EHR comes from multiple sources and in a variety of standards and terminologies. The vocabularies, codes and terms used in one system may mean something different—or nothing at all—in another.
Fortunately, 3M offers a practical and efficient approach to semantic interoperability.
The 3M Healthcare Data Dictionary (HDD) is a controlled medical vocabulary server that has been continuously expanded and maintained for over 15 years. The 3M HDD makes it possible to map and manage medical terminologies, integrate content and standardize healthcare data. The technology allows organizations to transmit and receive accurate, actionable patient data across systems and applications, regardless of where data originates.
The 3M HDD provides a road map to the content and structure of patient data by defining and translating every data element in a computerized patient record across all domains including ICD-9, ICD-10, General Equivalence Mappings (GEMs), SNOMED CT®, LOINC®, RxNORM and more.
Reliable clinical data
The 3M HDD makes relevant data available for clinical decision-making, research, public health and quality reporting. More importantly, the standardized data is reliable—understood by the IT systems that exchange it and trusted by users who need it.
Data content is preserved
Because it integrates easily with other systems, 3M HDD preserves the viability of data in hybrid systems and data warehouses, supporting the use of legacy data for business analytics and clinical research.
The 3M HDD is a web-based application built upon an SOA architecture. It is highly scalable, easily integrated with other applications, and structurally designed to meet the extensive demands for interoperability in high-volume transaction environments.