Melissa Data Quality Platforms

Melissa's Full Spectrum DQ Approach. Learn More

Melissa Mailing

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What We Do

Melissa Helps Healthcare

For 40 years, Melissa has worked hand-in-hand with leaders in the healthcare industry. We are HIPAA/HITECH and SOC 2 compliant, and our breadth of data ensures your patient records are always clean and accurate. Work with us to:

  • Reduce operational costs

  • Improve the patient experience

  • Manage risk and prevent fraud

Melissa Healthcare Solutions

The Quality of Patient Data Impacts Everything

From medical predictions, diagnoses, treatments, and emergency response, accurate data quality is critical for patient care, onboarding, security, and operational efficiency. Melissa’s full spectrum of data quality solutions address these concerns and more.

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Patient Onboarding

Validate, correct & standardize patient contact data at point-of-entry – name, address with Autocomplete, email and phone – to improve onboarding and minimize risk. 

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Records Hygiene

Match, merge and purge duplicate patient records across households, facilities, and time to minimize patient frustration, billing and claim errors, and legal liabilities.

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Big Data Analytics

Connect patient data points with clinical findings and research to discover actionable meaning, and aid in governance protocols.

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Population Analysis

Enhance community outreach and public health with plotted coordinates to inform health resource allocation and improve record keeping.

 

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Clean & Consistent Database

Clean, standardize and reformat any data type – from casing to capitalization, adding or removing punctuation, expanding or contracting abbreviations, or searching and replacing any parts of a string.

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Improve Health Initiatives

Add precise demographic data to your records like age, sex, race, and income to help ensure better resource allocation, patient care, and public policy.

 

Melissa Case Study

Case Study: HealthLink Dimensions

HealthLink manages one of the largest databases of active practicing physicians and needed a solution that would clean and standardize this massive, multisourced dataset.
 
 
 
 
 

"GeoCoder allows us to maintain multiple addresses for the same physician even when we are receiving and loading the data from more than one source. We use the mileage distance between addresses to write proprietary business rules to locate physicians that practice in multiple locations, and even across state borders."

Read the Case Study

Chris Lloyd | Director of Database Services

Melissa Case Study

Case Study: CalOptima

Find out how CalOptima, the second largest health insurer in Orange County, migrated 422,000 members, 5,800 physicians, and 24 hospitals into one data warehouse with the help of Melissa’s Data Quality Components for SSIS.
 
 
 
 
 

"Our main objective was to add value to the data produced for business users. Having conformed and integrated data is valuable, but the added value of recognizing valid addresses is significant. One of the cost-driven indicators is returned mail and missing communication with members."

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Osvaldo Cruz | Data Warehouse Architect

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