HealthMetric PORTAL ꓲ Product Description
The HealthMetric app helps people reach personalized health goals fueled by biometric data already on their smart phone or watch.

The HealthMetric PORTAL enables a Physical Trainer, Physical Therapist, or Gym Owner to guide clients in their individual health journeys using the same biometric data – shared from the HealthMetric app.

A Physical Trainer can set health goals for a client remotely, monitor progress toward those goals, and make recommendations over time to better guide a client’s individual progress toward a goal.

The HealthMetric PORTAL provides a direct connection with fitness clients when you can’t meet with them face-to-face – a requirement in a post-COVID age.

Connect with clients remotely.
Set daily goals.
See daily progress.
Drive revenue.

When making treatment decisions for our loved ones, it’s crucial that clinicians have the tools they need to access accurate, real-time data.
MSA Life Sciences’ time-saving clinical workflow application, EDITLife Transplant Management System, captures, organizes, and provides a comprehensive view of Blood and Marrow and Solid Organ transplant recipient, donor, product, and provider data across the entire continuum of care.

Advanced functionality, such as the ability to seamlessly interface with EHRs and other hospital systems, and automated features such as Checklists and Patient Lists, streamline your clinical workflow, increasing productivity and efficiency while enhancing patient care.

To do the quality analyses required by the medical world and the healthcare industry, data from multiple sources – such as claims, labs, EMR, and registry data – needs to be integrated and analyzed.
MSA Life Sciences’ HCDM team provides flexible data solutions that allow organizations to unleash the power of their data. HCDM’s patented DE-ID engine protects personal health information (PHI) utilizing a HIPAA-compliant process.

The DE-ID process combined with HCDM’s patented data aggregating Data@Factory process, integrates disparate data sets from one or more sources into de-identified, anonymous, longitudinally-aligned patient-level databases for sophisticated analytics.