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Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Health equity
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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
SAI
SAI

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Sickbay
Sickbay

Categories

Solutions

Description

Product Description:
SAI is an AI-powered medical documentation platform, thoughtfully built by doctors, for doctors, to restore focus where it matters most, patient care. Designed with a deep understanding of real clinical workflows, SAI seamlessly captures patient encounters and transforms them into structured, accurate, and compliant medical notes in real time. More than just a transcription tool, SAI functions as an intelligent clinical partner. It adapts to individual physician preferences, specialty-specific nuances, and evolving documentation standards, ensuring each note reflects both precision and personalization. By reducing the administrative burden that contributes to burnout, SAI enables providers to move efficiently through their day without compromising quality or compliance. SAI integrates effortlessly into existing workflows, whether in fast-paced outpatient settings or complex inpatient environments. Its intuitive interface requires minimal training, allowing teams to adopt quickly and scale confidently. The result is not just time saved, but a measurable improvement in productivity, documentation quality, and overall physician satisfaction. Built on the principle that technology should support, not disrupt, the art of medicine, SAI empowers healthcare organizations to elevate performance while preserving the human connection at the heart of care.
About Scrivas:

SAI is an AI-powered medical documentation platform, thoughtfully built by doctors, for doctors, to restore focus where it matters most—patient care. Designed with a deep understanding of real clinical workflows, SAI seamlessly captures patient encounters and transforms them into structured, accurate, and compliant medical notes in real time.

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:

Reducing Documentation burden and Physician Burnout with Scrivas SAI

Dr. David Joyce’s Case Study

Services: SAI, AI-POWERED MEDICAL SCRIBE SERVICE

Dr. David Joyce’s Experience at Advanced Medical Treatment Center

Physician burnout is a growing concern in healthcare, driven by the excessive administrative burden, especially in medical documentation. 

For physicians like Dr. David Joyce, an interventional pain management physician at Advanced Medical Treatment Center, managing a high volume of patient documentation while maintaining high-quality care can quickly become overwhelming.

Dr. David Joyce, an interventional pain physician at Advanced Medical Treatment Center, specializing in diagnosing and treating chronic, acute, and sub-acute pain. This practice often requires detailed documentation to ensure accuracy and proper follow-up care.

Before integrating SAI, Dr. Joyce found himself spending significant time after clinic hours completing paperwork.

Recognizing the need for a more efficient solution, Dr. Joyce adopted Scrivas’ SAI platform to streamline his documentation process. By automating many routine tasks,

such as transcribing patient encounters and creating detailed medical notes, SAI allowed Dr. Joyce to spend more time with patients and less on administrative work.

The platform’s AI technology automatically generates notes during clinical encounters, leaving Dr. Joyce with only minimal edits to ensure accuracy and contextual relevance.

Scrivas worked closely with Dr. Joyce to integrate the SAI platform into his practice, ensuring a solution tailored to his specific documentation needs. The implementation

of SAI centered on reducing the documentation burden, allowing Dr. Joyce to provide better care while alleviating the stress associated with excessive administrative work.

Customized AI Integration: Scrivas customized the platform to meet Dr. Joyce’s specific needs for documentation, ensuring that SAI could manage the detailed notes required for his practice.

Automated Documentation: SAI efficiently transcribed patient encounters and generated detailed notes, freeing Dr. Joyce from documentation burden and allowing him to focus on patient care

Hybrid Model with Human Oversight: While the platform generated most of the documentation, Dr. Joyce maintained the ability to review and make minimal adjustments, ensuring that all documentation was accurate and comprehensive.

Time-Saving Benefits: The AI-powered automation allowed Dr. Joyce to complete documentation much faster, giving him more time to focus on his patients and leaving the clinic earlier each day.

This has significantly reduced his documentation burden, especially at the end of his busy clinic days, where he typically sees 30+ patients.

Additionally, SAI was customized to meet the specific documentation needs of Dr. Joyce’s practice, saving him one to two hours a day on average. Overall, SAI has helped reduce Dr. Joyce’s post-clinic documentation workload.

Pediatric use cases:

AI Documentation Solution 

Users:

Dr. Joyce specializes in evaluating, diagnosing, and treating chronic, acute, and sub-acute pain through injections and minimally invasive surgical procedures.

As his practice became busier, the time he spent documenting patient encounters and procedures increasingly detracted from his ability to focus on patient care. Recognizing this widespread issue of physician burnout, Scrivas saw the need for a solution that

would reduce the time spent on documentation, alleviate burnout, increase efficiency, and ultimately improve patient care.

This led to the development of SAI, an AI-powered

medical scribe service designed to streamline operations and enhance efficiency through seamless integration. With a patient-focused, user-friendly interface, SAI enables physicians to spend more time with patients and less time on administrative work.

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:

Acute care EMR, Ambulatory EMR

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, athena, NextGen, eClinicalWorks, Meditech, Allscripts

Hardware Compatibility:

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

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:

Seamless EHR integration to major EHR's such:  

  1. Epic
  2. Cerner,
  3.  Athenahealth
  4.  eCW and more. 
Differentiators vs Competitors:

Hypercustomizable to any workflow, speciality and physician documentation preferences. 

Providing real time clinical documentation insights/suggestions. 

Scalable approach, with the ability to incorpoate our tool into a clinic workflow whether it's standalone, or hybrid (scribe + AI empowerment) 

White glove support and training throughout and after implementation. 

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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Videos

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SAI - Enhancing Clinical Documentation

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Introduction to Sickbay.mp4

Downloads

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SAI Case Study
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Use Case: Comprehensive Case Review

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Company Details

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