Biometric Health Philosophy

Health Intelligence

Advanced Analytics & Clinical Data Science contribute to strategic clinical decisions that directly affect providers, payers and, most importantly, our patients. Working closely with advanced analytical, statistical and clinical resources, Biometric Health develops models that identify each patient’s need, the cause and predictive algorithms to understand future disease progression, care-seeking, risk and frailty.

Each Biometric Health model is developed using complex medical, pharmaceutical, survey and social determinants of health data algorithms designed to solve problems and deliver actionable personal insights in support of improved health outcomes.

Our personal insights lead to Personal Health Intelligence.

Biometric Health personal insights are built on understanding behaviors and behavioral influence on best practice care-seeking and compliance. Biometric Health customers can leverage this knowledge to pursue personalized health solutions through best practice care-seeking.

Leveraging algorithmic, statistical and in-depth clinical and behavioral disciplines, Biometric Health provides insightful personal care-seeking standards and practices delivered through our proprietary mobile device applications.

Behavioral Signals

  • Health Opportunity Score (HOPS) – multi-component risk determination models identifying members with behaviors supportive or not of continued or better health.
  • OPS Extrapolation Algorithm (HOP-EA) – completes HRA surveys for members by applying Book of Business determined ‘average’ responses by ‘member characteristics key’.
  • Propensity for Change (PfC) – Identifies members who require change and with a 75% or greater willingness to change for focused outreach.
  • Obstacles to Change (OtC) – Identifies the impediments to behavioral change.
  • Care-Seeking Sequencing Algorithm (CSSA) – Supports pre-emptive insight and personal intervention strategies and is unique in two important ways.
    • Defines ‘clinical thresholds’ from the perspective of potentialities based on an individual’ overall health status and illness burden, and,
    • Predicts the sequences of events that will result in any given member meeting or exceeding their threshold.
Careers
Careers

Measurement and Evaluation

  • An Inpatient Performance Measurement System reflecting 31 case-mix adjusted DRG speciality driven predictive models comprised of length of stay and adverse event measures. The system was designed to facilitate complex querying of actual and expected inpatient performance results for hospitals, specialists, Integrated Delivery Systems, Accountable Care Organizations and other healthcare provider collectives.
  • A Hospital Quality Review performance measurement tool with a unique design that interrogates data for both pre- and post- discharge markers of quality.
  • Benefit plan design models, indigenous and vendor-contracted managed care network effectiveness (return on investment/quality of care) and feasibility (ease of access) predicated on “within-miles” proximity of key speciality physician groups and acute hospital campuses) models.
  • Report Cards for Quality Care-seeking
    • Diabetes & Related Manifestations
    • Asthma, Allergy & other Respiratory Conditions
    • Cardiac Disease
    • Circulatory Disease
    • Musculoskeletal Disease
    • Oncology (Cancer Risk by Site)

Comcast Healthcare Wellness Personal Platform

Embrace at home technologies and tele-medicine wellness brings together healthcare data components with live clinical assistance, medical libraries, and interactive wellness.