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m.Care

m.Care

m.Care

10 verified clients

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Review

Review

Overview


Avia Summary

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m.Care is a solution provided by m.Care which was founded in 2012. It belongs to multiple categories of digital health solutions including Digital Front Door (DFD), Virtual Health, On-demand Behavioral Health, Virtual Visits (Synchronous + Asynchronous), and Remote Monitoring (RPM).
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It has 10 verified clients.
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m.Care integrates with major EMRs such as Epic, Cerner, and Meditech.
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Some other resource(s) that may be helpful in learning about m.Care include: Q&A with Steve Hendrix of m.Care: Improving outcomes with accessibility and Top Virtual Visit Companies Report | 2023
Select which hospital or health system you work at and see a personalized match score.
EHR integration

Integrations:

Ambulatory EMR, Patient portal, ADT

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, athena, McKesson

Hardware Compatibility:

Desktop, Mobile / Tablet (native app)

Description

LifeScience Technologies has developed a remote patient engagement platform called m.Care. The Patient Engagement mobile app has over 60 separate, yet integrated, software applets that run on smart phones and tablets. Applications include tracking for physical activity, nutrition, medication adherence, and monitoring of key vital signs. Additional applets also capture videos and photographs, provide education, gamification, and much more. We integrate with fitness and Bluetooth-enabled devices and most applets use voice recognition, providing significant flexibility and utilization for the end user. Hospitals are free to pick and choose which applets they would like to use to manage the needs of a specific patient or group of patients. These applets communicate with our servers and the resulting data allows hospitals and medical professionals to better monitor, manage and communicate with a specific patient population, such as patients with a particular disease, chronically ill patients or discharged patients who have had major surgery. The intent is to improve overall outcomes by showing, on a “real-time” basis, whether a patient is improving or regressing after they are outside of the hospital’s direct care. This will also assist in reducing potential CMS readmission penalties. The back-end system is an extensive, web-based, Care Coordinator Portal, complete with an easily configurable alert and task management system, as well as dashboards for monitoring the assigned patient population. The platform uses data analytics and predictive modeling to proactively manage a targeted patient population. In summary, m.Care is a virtual care platform for remote patient monitoring and patient engagement.
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Use cases

Description

Chronic care management

Pre- and Post- procedure engagement and monitoring


COVID-19 use cases:

Launched COVID-19 Patient Monitoring App which includes the option for online registration, including risk assessment survey, daily risk assessment surveys for enrolled patients, daily and weekly risk assessments, with alerts, for care providers and rapid delivery of medical equipment to all new at-risk patients. The app also offers a Mental Health component with surveys, predictive monitoring, and the capability to access specialist, therapist, and other health professionals. The COVID-19 application provides real-time education and information from CDC, other verified sources, 24/7 access to client care team with diagnosis, predictive monitoring, alerts and symptom management. The platform covers each phase of members’ health while in the protection of their home.

Pediatric use cases:

Pediatric Use Cases: - Single ventricle - Pediatric asthma - Transplants - Kidney disease

Users:

Patients and Care Team Members

Differentiators

Differentiators vs EHR Functionality:
Proven and available today
Differentiators vs Competitors:
Configurable monitoring plans by patient type Device neutral - support over 160 Bluetooth medical devices Supports voice recognition Data ownership, access and availability AI engine/Predictive modeling
Company information

Founded in 2012

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