Compare Health Dialog vs. Healthcare Data Analytics

When individuals are dealing with a common cold or managing long-term illnesses such as diabetes or heart disease, they frequently have inquiries and concerns that require attention, as well as guidance to help ensure they comprehend and stick to their treatment plans. Health Dialog presents a collection of tailored population health solutions designed to tackle these challenges, empowering your members to enhance their overall health while simultaneously decreasing costs. Our team of healthcare professionals provides personalized health coaching through targeted outreach to assist members in better managing chronic conditions, including asthma, diabetes, and heart disease. We pinpoint members who may be at risk of not following their treatment plans, identify the most effective ways to engage them, and offer education to promote consistent medication adherence. Additionally, your members can benefit from round-the-clock access to a live registered nurse who is available to deliver clinical advice, refer them to necessary services, teach vital skills, and provide pertinent educational resources to support their health journey. This comprehensive approach not only enhances member engagement but also fosters a more informed and health-conscious community.

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.