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Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Health equity
Keywords
Media
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
Wavital
Wavital

0 review

Sickbay
Sickbay

Categories

Solutions

Description

Product Description:

No new hardware. No retrofitting. Just an intelligent layer that unlocks proactive, precision care from systems hospitals already own.

About Wavital:

Predict risk. Prevent loss.

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:

A hospital integrates Wavital’s real-time data platform to stream vital signs directly from bedside monitors. Using the Wavital Marketplace, they access AI algorithms that are initially trained on global datasets, then refined and personalized using the hospital’s own patient data. This continuous local tuning improves prediction accuracy for critical events like sepsis, cardiac arrest, and respiratory failure, delivering instant, tailored alerts to clinicians — all with minimal IT burden.

Pediatric use cases:

A children's hospital uses Wavital’s platform to continuously monitor young patients' vital signs in real time. AI algorithms, trained on pediatric-specific datasets and further refined using the hospital’s own patient data, predict early signs of conditions like sepsis, respiratory failure, or neurological decline. Clinicians receive real-time, patient-specific alerts, allowing them to intervene earlier, reduce ICU stays, and deliver safer, more personalized care to their most vulnerable patients.

Users:

Primary users are frontline clinicians — including physicians, nurses, respiratory therapists, and intensivists — who act on real-time AI alerts to prevent patient deterioration. Secondary users include hospital administrators, clinical informatics teams, and IT staff who manage system deployment, data governance, and compliance. Additionally, researchers and AI developers use the platform to create, refine, and deploy new predictive algorithms based on real-world clinical data.

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:

None provided

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson, Other, Allscripts/Eclipsys, Athenahealth, Azalea Health/Prognosis, CPSI, Evident, Healthland, MEDHOST, MedWorx, QuadraMed, Self-developed, Would prefer not to disclose, Point Click Care

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized), Mobile / Tablet (native app), Other

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

None provided

Differentiators

Differentiators vs EHR Functionality:

Unlike traditional EHR systems that primarily document patient information for retrospective review, Wavital delivers real-time, proactive insights. EHRs typically rely on manual charting, delayed vital updates, and rule-based alerts; Wavital continuously streams high-fidelity vitals directly from bedside monitors, uses predictive AI instead of static thresholds, and generates actionable alerts within seconds — not hours.

Wavital is patient-level, device-agnostic, and cloud-native, making it faster to deploy, easier to scale, and far more effective at detecting early signs of clinical deterioration — without needing massive customization or "bolt-on" EHR modules.

Differentiators vs Competitors:

Wavital uniquely combines real-time, high-fidelity streaming from any monitoring device (vendor-agnostic) with predictive AI that delivers patient-specific alerts in seconds — not retrospective dashboards or delayed reviews. Unlike competitors that often require complex IT setups, work only with curated device kits, or are locked into proprietary ecosystems, Wavital offers plug-and-play compatibility, cloud-native deployment, and continuous local model refinement using each hospital’s own patient data. It’s the only platform designed to turn any bed into an ICU-grade monitoring station — without ripping and replacing existing systems.

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

Wavital’s platform resolves traditional technology barriers by ensuring real-time data capture and AI-driven insights are accessible even in environments with limited internet bandwidth or unreliable data plans. Its lightweight, cloud-optimized infrastructure and edge-processing capabilities allow hospitals and clinics to benefit from continuous monitoring and predictive intelligence without needing premium connectivity — expanding access to high-quality care across all settings.

Wavital’s AI adapts to the unique cultural needs of each community by being trained and refined on local patient data, ensuring that predictions and clinical insights are culturally sensitive and relevant. In addition, the platform’s messaging, alerts, and interfaces are designed to reflect and respect the diverse backgrounds of the populations served, promoting more personalized and equitable care.

Wavital demonstrates a commitment to inclusivity by training and refining its AI algorithms on local patient data, ensuring predictions are tailored to the specific demographics, cultural backgrounds, and clinical needs of the populations each hospital serves. This approach enhances accuracy across diverse groups, while multilingual capabilities and representative design further ensure accessibility and respect for all users.

Native resolution data from medical devices, combined with EHR data displayed to end users.

HIPAA compliant. SOC II certification. Client-controlled PHI on/off toggle to protect patient information.

In-line, 'live', and video support for end-users. Provide custom release notes per client to support clinical & technical end-user specific needs.

Keywords

Images

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Sickbay on Multiple Devices

Videos

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Introduction to Sickbay.mp4

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