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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
Woddle Baby
Woddle Baby

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Sickbay
Sickbay

Categories

Solutions

Description

Product Description:
Woddle Baby is a reimagined nursery essential: an AI-enabled 6-in-1 smart hub that integrates a medical-grade scale and changing pad to support early at-home weight monitoring. By providing valuable data insights, Woddle Baby supports proactive care, improving outcomes and reducing the need for costly interventions and readmissions. With AI-powered coaching and timely milestone reminders, parents and caregivers receive real-time support and answers when they need them most. As infants adhere to nutritional care pathways and hit key health indicators, caregivers foster increased confidence and satisfaction while reducing overall anxiety throughout the journey. By supporting on time discharge and length of stay optimization while serving up actionable interventions to the health system with at-home monitoring, Woddle Baby aligns with driving cost savings and quality performance by reducing readmissions, improving maternal-infant health outcomes, and demonstrating proactive newborn care management.
About Woddle Baby:

None provided

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

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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:

Feeders & Growers

Woddle Baby supports NICU graduates, specifically "feeders and growers,” through a connected at-home care model that enables safe discharge while maintaining continuity of clinical oversight. The AI-powered smart scale and changing pad empowers caregivers to monitor their infant’s weight daily at home, triggering real-time alerts for significant weight loss and automatically sharing data with the care team.

Breastfeeding Support

Woddle Baby enhances breastfeeding outcomes by offering real-time, connected support for parents navigating early infant feeding. The smart scale and AI-powered platform allow families to track infant weight between feedings, educate themselves on optimal breastfeeding techniques, and receive timely alerts when issues arise, such as insufficient weight gain or feeding inconsistencies.

For lactation teams and pediatric providers, Woddle Baby acts as a virtual extension of breastfeeding support, especially for babies using weighted feeds. It helps identify challenges early, reducing unnecessary in-person visits and guiding families to internal resources like lactation consultants and support groups.

Pediatric use cases:

By enabling ongoing weight surveillance, Woddle Baby helps providers proactively addresses key drivers of readmissions such as feeding, growth, and nutrition concerns. The platform enhances clinical decision-making by supporting:

  • Early identification of weight deviations or feeding challenges
  • Improved breastfeeding support and follow-up care
  • Reduced incidence of failure to thrive and jaundice
  • Greater parental engagement and infant bonding
  • Safer transitions from hospital to home with continued monitoring
Users:

Parents, infants, caregivers, Pediatric Teams - physicians, nurses, telehealth or remote patient monitoring 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:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

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:

None provided

Differentiators vs Competitors:
  1. First-of-Its-Kind 6-in-1 Smart Infant Hub: Combines an infant scale, changing pad, temperature sensor, growth tracker, milestone monitor, and AI health assistant which streamlines multiple nursery tools into one sleek, connected device.
  2. Clinically Aligned Weight Monitoring at Home: Enables NICUs, pediatricians, and care teams to monitor infant growth post-discharge, reducing the risk of readmissions due to poor weight gain or feeding issues.
  3. AI-Powered Parent Coaching: Delivers real-time answers to common questions, milestone alerts, and feeding guidance, easing anxiety and empowering caregivers with on-demand support.
  4. Seamless Data Sharing with Providers: Offers bi-directional integration potential with EHRs, enabling early detection of issues and remote monitoring aligned with value-based care models.
  5. Designed for Equity & Accessibility: Inclusive design supports diverse caregiver needs, including health literacy friendly language and culturally relevant education and reminders.
  6. Replaces Multiple Nursery Tools: Eliminates the need for separate scales, pads, trackers, and apps, simplifying the caregiver experience while increasing compliance with post-discharge care plans.
  7. Supports Health System Metrics: Improves newborn care transitions, supports HEDIS and Medicaid quality measures, and contributes to lower avoidable readmissions and better long-term outcomes.
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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Woddle Baby - Diaper Pad Warmer

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Sickbay on Multiple Devices

Videos

No videos provided

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Introduction to Sickbay.mp4

Downloads

No content provided

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Use Case: Comprehensive Case Review

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Company Details

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