Compare CareEmpower vs. Healthcare Data Analytics

Providers and healthcare plans are facing increasing demands to enhance the quality and affordability of comprehensive care for their most vulnerable and complex patient populations. We are here to assist in addressing the cumbersome processes, fragmented care teams, and isolated data systems that hinder the delivery of integrated care for the whole individual while adapting to new value-based care requirements, including those pertaining to behavioral health and social determinants of health. Currently, our nation allocates $33 billion each year to preventable hospital admissions stemming from inadequate care coordination and management of transitions, highlighting the urgent need for effective solutions. CareEmpower stands out as a comprehensive solution unlike any other care navigation system you've experienced. Whether your organization seeks to swiftly advance its Medicare Advantage program or establish a strong population health initiative for at-risk groups, CareEmpower offers the essential tools required. It effectively stratifies and prioritizes care opportunities for these vulnerable populations, ensuring that their needs are met in a timely and efficient manner. With our innovative approach, the path to better care coordination is clearer than ever.

Over 70% of healthcare information is contained within clinical documents, including reports, patient charts, clinician notes, and discharge summaries, allowing our specialized Natural Language Processing and AI Engine to extract essential concepts, attributes, and contextual information that drive business insights, enhance billing processes, assess and categorize patient risks, calculate quality metrics, and gather patient sentiment and outcome data. By tapping into difficult-to-access or previously unused data sources, you can significantly improve your clinical research or business intelligence efforts. Our extensive database features thousands of clinical concepts, including genomic biomarkers, symptoms, side effects, and medications, enabling the identification of disease characteristics and risk factors from clinical documents to better stratify patients and elevate the standard of care. Moreover, we ensure the protection of data subjects' identities while preserving the usefulness of the data through effective document de-identification strategies. This approach not only safeguards privacy but also empowers healthcare organizations to make informed decisions based on the most comprehensive data available.