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Creating a complete view of a patient or consumer using MDM is essential to meeting care coordination goals. The complete view will underpin data exchange and care collaboration as they promote improved care delivery and decreased costs.
Healthcare transformation is taking many roads in the various segments of healthcare, including payers, providers, and public sector organizations. Care coordination through collaboration and data exchange is one of the roads that is receiving increased emphasis in order to enlighten and empower consumers to improve their individual health, which will in turn improve community and population health. Whether you are a consumer or a funder/payer of care, you also have a goal of decreasing costs as a result of these new efforts.
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Fundamental to many of the transformation roadways is the need to accurately, consistently, and in a scalable fashion identify the patient or consumer across the health or social care settings. The goal is to get a complete view of the patient’s data to improve service delivery and outcomes. http://bit.ly/1mAWKoB And this must be done despite the variability in data capture, lack of data standards across the various care or service settings, and poor data quality in many instances.
Care coordination programs, whether healthcare, social services or both, are no exception to the patient matching challenge. In fact, the challenges may be heightened as:
- Patients placed in the special care management programs are generally at risk for a variety of factors. Therefore the frail, elderly, and chronically ill who may have extended care givers, mobility or memory issues, and frequent visits across numerous care settings in the pubic and private sector will be the norm, not the exception. Data capture may be incomplete, inaccurate, or delayed.
- The medical and social factors associated with the consumer may mean that the patient is not the source of information, but instead family or hired caregivers, who may be unreliable data sources.
- Enrollment programs may not prioritize capturing and indexing identification data to support a comprehensive view of the individual. Instead these programs may rely on an identifier unique to a single program, which is the antithesis of the objectives of collaboration and cross-program data sharing.
- Patients may undergo an enrollment process, particularly for specialized programs, but these programs may not employ highly trained personnel to complete the intake process, personnel may not understanding the implications of poor data quality, and the systems they use may be rigid or weak, thus contributing to poor data quality.
MDM is teaming with Curam and the Smarter Care solutions to address these fundamental challenges. MDM provides the accurate, scalable, and flexible patient/consumer identification and matching solution that ensures a complete view of the patient or consumer data is readily available across social programs and care settings
“The search for a more efficient way to improve outcomes and deliver greater value has inspired Smarter Care, which emphasizes collaboration across the boundaries of government, social programs, life sciences, health plans and providers.”
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Together, MDM and Curam will advance the healthcare transformation agenda that benefits individuals, communities, and population health.
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