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Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Health equity
Keywords
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Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Health equity
Keywords
Media
Company details
m.Care
m.Care

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Sickbay
Sickbay

Categories

Solutions

Description

Product 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.
About m.Care:

m.Care is powering virtual care programs at leading, innovative healthcare systems across the U.S. These healthcare systems, including OSF Healthcare, serve thousands of at-home patients utilizing the predictive and proactive technology created by m.Care. m.Care is a patient-centric, client-focused solution for patient engagement. Dedicated to improving patient outcomes, while lowering the cost of healthcare delivery, m.Care empowers individuals to take responsibility for their own health care, while providing the care team with insight into the patients assigned to their care. m.Care believes the growing demands being placed on health care providers can best be addressed by merging state-of-the-art technologies with the specific needs of the clinical community. Our experience shows that a good “partnering” relationship is the best way to respond to those demands. You will find m.Care to be a very good partner.

Product Description:
Sickbay is an FDA-cleared clinical platform providing hospitals with the only vendor-neutral, integrated patient monitoring solution in healthcare. Sickbay consolidates disparate sourced, time-sequenced patient monitoring data with an average of 25 milliseconds per patient. Sickbay drives cost-effective patient monitoring and powers analytics by providing instantaneous and persisted physiological data to clinicians, researchers, and algorithm developers. Viewing data consolidated in Sickbay on any laptop or mobile device, on wallboards, and in on-prem or remote command centers enables clinicians to deliver the best possible care to patients throughout the hospital.
About Medical Informatics Corp:

Medical Informatics Corp.’s (MIC) mission is to deliver next-generation technologies to unify patient monitoring workflows for healthcare systems. MIC’s decade of innovation with its clinical platform, Sickbay, integrates over 30,000 vendor-neutral signals on two percent of hospital beds with over 10,000 clinical users in the United States. Most hospital systems lack native resolution data aggregated through a single source, instead deploying a multi-device strategy that silos data and data access time frames. The Sickbay Clinical Platform stands alone as the only FDA-cleared platform to aggregate time-series waveform data across disparate devices at native resolution. Current bedside devices delete data on average after 72 hours, while Sickbay saves the data indefinitely. Sickbay provides a portal through which care providers can review aggregated, time-synchronized data, annotate it, and collaborate to create algorithms (including ML & AI) and evaluate post-event care. Those algorithms and care models can then be reintroduced into the platform to advance care and innovation. Simply put, Sickbay provides the hospital teams their data from anywhere, anytime, to optimize workflows, analysis, and risk stratification across the patient care spectrum. The diverse team at MIC is fundamentally unlocking a blue ocean of new patient monitoring capabilities for ourselves, our partners, and our clients. MIC’s Sickbay saves lives, improves outcomes, streamlines strategy and technologies, and reduces the overall caring cost for hospital patients nationwide.

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Product Capabilities

Sickbay collects, integrates, & displays time-aligned medical device data for over 30k signals. Information is displayed to end users in near real-time (~25ms) on local and mobile devices.

Sickbay's Patient Monitor (PatMon) displays per patient waveform and EHR data alerting clinical end users based on parameters defined by the hospital. Sickbay's Multiple Patient Monitor (MultiMon) displays that same information for up to 100 patients on a single screen to support virtual monitoring at scale. Sickbay's Risk Stratification module displays risk score data customized per hospital to improve awareness of patient risk in higher acuity beds. Sickbay's Alert Queue module displays alerts for telemetry patients that have been newly admitted, shift changes, dietary requirements, and rhythm validation.

Sickbay integrates EHRs using interfaces for ADT information, staffing assignments, meds, & labs. Sickbay integrates directly into the EHR to automate the capture and storage of ECG strips on the patient's record without additional, time-consuming, error-prone manual steps.

Sickbay simplifies the clinical theater by centralizing patient monitoring data from devices, EHRs, camera-enabled technology, and 3rd party analytics into a single screen. This enhances the readability and interpretation required to reduce the time-to-treat a deteriorating patient. Sickbay's interface is shared between bedside and remote care teams to drive scale and efficiency. This approach reduces the risk associated with new nursing team members on staff and improves the training / onboarding by using a single platform for patient monitoring. Sickbay's analytics workbench directly connects clinical researchers with bedside teams to develop and implement custom algorithms for specific patient cohorts in near real-time.

Sickbay integrates camera-enabled technology into a single interface alongside near real-time physiological data to provide remote care teams with video support to reduce patient risk and improve the time-to-treat for patients that are deteriorating.

Use Cases

Description:

Chronic care management

Pre- and Post- procedure engagement and monitoring


Pediatric use cases:

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

Users:

Patients and Care Team Members

Description:
  • Patient Monitoring
  • Remote Patient Monitoring
  • Virtual Care Models: Virtual Nursing, Central Telemetry Monitoring
  • Rounding
  • Vent Management
  • Patient Risk Stratification
  • Interdepartmental Transfers
  • Automation: ECG Strip Automation, Data Management
  • Revenue: CDI, Denials Management
  • Analytics: Compliance, Billing, Cohort Management
  • Research: Algorithm Development
  • Legal: Litigation Support
Pediatric use cases:

Same as use case descriptions above.

Users:
  • Nurses
  • Respiratory Therapists
  • Doctors
  • Anesthesioligists
  • Surgeons
  • CDI
  • Revenue Cycle
  • Research
  • Analytics
  • Quality
  • Compliance
  • Legal

EHR Integrations

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)

Integrations:

Acute care EMR, ADT, Access +/or revenue cycle, Other

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner, Allscripts

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized), Other

Client Types

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
Differentiators vs EHR Functionality:

The EHR is intended to be a point of care reference to support billing. Traditionally, only documenting discreet vitals from patient monitoring devices at single points.

Sickbay Clinical Platform:

  • captures consolidated, persistent, time-series waveform data from networked and non-networked bedside devices at its native resolution
  • re-displays near real-time, time aligned signals at an average latency of <25 mSec
  • integration of risk scores and analytics
Differentiators vs Competitors:

Sickbay is a single, interconnected platform that is designed to support dozens of use cases, therefore competition is dependent upon the use case. In addition to the data agggregation, consolidation, and visualilzation differences referenced under EHR functionality, key differentiators in patient monitoring & virtual care include: 

  • vendor neutral device integration
  • web-based to support monitoring on any PC, tablet, phone or embedded EHR workflow
  • flexible, modular design to enable ability to monitor 50+ patients across units, facilities, and vendors
  • unlimited retrospective data, from one second to one year+, to support building and sharing of trends, CDI documentation support, quality reporting
  • integration, development and deployment of near real-time risk scores and analytics into established workflows
  • automated documentation of vitals, ECG strips, and event trends into the EHR

Health Equity

Keywords

Images

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Sickbay on Multiple Devices

Videos

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Introduction to Sickbay.mp4

Downloads

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Mercy Virtual Case Study.pdf
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Use Case: Comprehensive Case Review

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Company Details

Founded in 2012

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