Melissa, a leading provider of global data quality, identity verification, and address management solutions, announced its data tools fuel patient well-being and healthcare operational efficiencies at every level in best-of-breed healthcare systems. Melissa’s comprehensive data quality tools and services recognize that data integrity is at the core of healthcare services, including clinical and patient data that is complete, accurate, enhanced, and secure. Melissa will feature its healthcare data quality tools and services at the American Health Information Management Association (AHIMA) Conference, October 8-10, at the Baltimore Convention Center in Baltimore, MD, booth #539.
Health systems require accurate patient data, location, and medical history, yet complexities are common at every step of healthcare administration and service. Melissa’s diverse domain expertise empowers the preventative data care essential to true interoperability of research, collaboration, and patient care – spanning patient onboarding, records hygiene, patient communications, risk and compliance, population analysis, and big data analytics.
“Patient records change, with constant evolution of contact points. Manual coding and claims filing can drive critical errors. Health plan data regularly changes, driven by socioeconomic and political factors. Regulation and compliance demand institutional data security and patient record privacy,” said Bud Walker, vice president, enterprise sales and strategy, Melissa. “It’s an incredibly diverse set of demands – yet all reliant on the mechanisms that ensure patient and clinical data is consistently and accurately maintained, enhanced, and secured.”
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Melissa enables a single, accurate view of patient records, critical across time and physical space. In addition to advanced address correction, standardization, and matching, Melissa offers advanced psychographic and demographic data enhancements that may influence medical history, such as children, gender, race, household income, and occupation.
“Healthcare systems do not operate in a vacuum, and are essential elements of the communities they serve,” added Walker. “Data gleaned from patient populations and metropolitan areas can significantly inform healthcare leadership in community-wide health initiatives and public policies. Interventions can be optimized, along with the logistics, outreach, and modeling poised to facilitate a shift from fee-for-service to fee-for-outcome.”
Blending data quality and data harmonization techniques, Melissa’s tools and services unlock data value by cleansing and linking previously disconnected datasets to support unified search, analysis, and reporting. The company’s solutions also utilize patented machine reasoning and reference ontologies that identify and establish common terminology, units, and formatting. As a result, data can be confidently searched and interpreted across datasets, improving decision making and reducing repetitive testing.
SOURCE : GlobeNewswire