Master Data Management (MDM)

Master Data Management directly addresses the issue of data quality and data variability by introducing processes and technology that standardize and normalize large data sets coming from multiple data sources.

Within the healthcare industry, Master Data Management is essential to integrating all types of patient data and creating a single, authoritative view of business-critical data from disparate, duplicate, and conflicting systems and sources. An MDM solution promises higher quality data with less rework, more efficient data management tools, and a foundation for improved decision making and better analytics. Without a single source of truth organizations face a significant challenge in having the data quality they need for improved analytics that can lead to better clinical, operational, and financial decision making.

With Symedical’s® master data management capabilities, organizations can:

Cleanse, normalize, and integrate data into an enterprise-wide system of record

Centralize, synthesize, and govern data across silos and sources to provide a single source of truth

Establish the “golden record”

Ensure access to the right data, at the right time, in real-time

Better understand their data for real-time analytics and data quality initiatives

Establish customer-specific reference tables for multiple data domains, for example customer-specific nomenclature for facility locations, department, and clinic names

Create enterprise-oriented, scalable web interfaces that federate the master data management capabilities to SMEs across the enterprise

Collaboratively author new, local code systems in the core environment with a workflow that enforces data validity

Enrich and extend subscribed content, making it fit-for-purpose without impacting future updates

Define editorial policies, role-based security, and customized workflows

Create and manage value sets and keep them up-to-date

View, manage, and update catalogs and maps across the enterprise as one and with full auditing, thereby improving operational efficiency and driving data consistency