Better Patient Data for Better Patient Care

Improve healthcare operations, better understand your patients, reduce risk and lower costs with a full spectrum of data quality solutions.

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How 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

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.

PATIENT ONBOARDING

Improve admittance and care by aiding the patient in providing accurate personal details and health histories.

POPULATION ANALYSIS

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

BIG DATA ANALYTICS

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

CLEAN & CONSISTENT DATABASE

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

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.

RECORDS HYGIENE

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

Case Study: HealthLink Dimensions

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

View HealthLink Case Study

minimised labor costs

Fully-automated
contact data cleansing

Now catches
errors in real time

Easily integrated into
existing .NET and SQL processes

Used GeoCoder to
find nearby physicians in network