Close

Medication Data Integrity

Delivering Complete, Accurate Patient Data When and Where Providers Need It

Biggest Data Challenges1

Incomplete Data

Multiple Systems and Formats

Unstructured Data
(“Free Text”)

Healthcare is still struggling with dirty data.

In today’s data-driven environment, how can you provide the most complete and actionable data to help customers manage at-risk populations and achieve true systems interoperability?

Poor Data Quality
While the healthcare industry has a wealth of information stored in different places, it’s frequently unstructured and not in a usable format for the right people to access at the right time. 

Missing Data
When records are transferred from one system to another, data often goes missing. That means clinicians must enter data manually, which can cause errors.

Lack of Interoperability
Varying terminology for prescription instructions, disparities in formulary service vendors, and obsolete national drug codes all prevent a clean conversion of data into one enterprise system.

Solve Data Fidelity Issues

Imagine if your customers could view your EHR or health IT platform as their trusted source of truth when they need to consolidate data sources or make data accessible across health systems and ambulatory practices. Now they can.

Artificial intelligence uses clinical and statistical context to normalize medication data, which reduces manual entry and errors, and gives clinicians data they can trust at the point of care.

Imagine if your customers could view your EHR or health IT platform as their trusted source of truth when they need to consolidate data sources or make data accessible across health systems and ambulatory practices. Now they can.

Artificial intelligence uses clinical and statistical context to normalize medication data, which reduces manual entry and errors, and gives clinicians data they can trust at the point of care.

AI Delivers Data Providers Can Trust

Interoperability

SmartProcessorSM delivers complete, clean data that supports the new focus on healthcare rather than sick care. As the industry shifts toward value-based care and scales up population health programs, it’s vital for EHR vendors to bring together capable partners who can streamline the exchange of data between disparate systems and make that information usable by providers. 

Population Health

MedHxTM PRM (Population Risk Management) delivers the data that clinicians and care managers need to identify patients who are not filling their prescriptions regularly and intervene to get them back on their drug therapy plans and reduce their overall use of healthcare services.

Recommended Resources

Contact Us