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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
HealthVision
HealthVision
Sickbay
Sickbay

Categories

Solutions

Description

Product Description:

HealthVision, the Intelligent Health Management System, is transforming care across health systems and value-based care organizations. HealthVision is made up of three key components:

*The Intelligent Health Record - what if you could see critical information from hundreds of EHR pages in a one-page patient chart and risk summary that serves the entire care team? HealthVision's Patient Spotlight is an easy to digest health profile and risk prediction tool. The Patient Spotlight helps clinicians make sense of the increasingly unwieldy and unmanageable health data in their EMRs in real-time.
*The Intelligent Workflow Solution - who among your patients will have an unplanned admission in the next 90 days? An ED visit in the next 30 days? The Intelligent Workflow Solution includes smart cohorts and rosters that align your scarce clinical, documentation, and administrative resources with the patients who will benefit the most. 

*The Intelligent Analytics Solution - how do your providers' mortality, hospitalizations, infection rates compare? Can your benchmarking system really match apples to apples? The Intelligent Analytics solution matches your population to others outside of your organization with the same baseline risk results. These precise comparisons are an important way to build trust and momentum among providers. 

About Health Data Analytics Institute:

HDAI is a high-growth, visionary company with innovative solutions that free up clinical time, enhance the provider experience, and support outcomes, efficiency, and economic improvement initiatives for health systems and value-based care organizations. 

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:

Continuity of care, care management, and care optimization; clinical operations, clinical performance, pre-visit and pre-surgery planning; post-acute network management; network, market, and financial performance and insights; population health management and value-based care; quality and safety: 

*Embedded EHR predictors enterprise-wide (ambulatory and inpatient settings) 

*Hundreds of predictive models built on HDAI’s baseline risks​ - delivery of baseline, encounter-based risks 

*Ambulatory clinical decision support​ - risk predictions for patients with consult visits to support decisions about the right clinical next step

*Discharge planning​ - evaluating discharge and next-site-of-care decisions, including SNF/HHA performance insights

*Post-discharge follow-up protocols​ - ensuring the highest-risk patients receive an appropriate share of support after discharge​

*Peri-operative adverse event risk management - focus visits around a patient’s areas of highest risk to enable optimization that improves expected surgical outcomes​

*Contracting and network design support​ - sophisticated network analytics to support decisions for provider performance, recruitment, and network optimization

*ACO patient targeting​ - smart cohorts focused on demonstrated areas of highest opportunity to enable high-ROI, precise interventions by care managers​

*Collaborate on diagnostic-grade models​ - partnership between data science teams to leverage new data sets to build diagnostic-grade models 

Pediatric use cases:

None provided

Users:

Clinicians, clinical care teams, and care managers; C-suite executives; Innovation and Quality leaders; Chief Medical Officers; Population Health leaders; Chief Nursing Officers; support/office staff 

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, Ancillary EMR

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic

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:

HDAI uses GPT/LLM and AI predictive models to dynamically canvas the EHR to extract, synthesize, and risk prioritize the most relevant information. HealthVision™ allows clinicians to effectively focus on care planning instead of searching the EHR. 

The EHR has changed the way we practice medicine, burdening clinicians with mountains of data and forcing them to spend their precious time in front of computers instead of with their patients. When the healthcare industry first transitioned paper records to electronic, the intention was to have all patient data accessible in one place, alleviating the healthcare system of cumbersome physical storage spaces for medical records and administrative staff to manage it. ​

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However, the EHR has overburdened clinicians with documentation tasks that were once allocated to administrative professionals ​and has clinicians combing through an inordinate amount of disparate and disorganized data to find relevant patient information. 

Differentiators vs Competitors:

HealthVision is the first and only enterprise-wide, AI-powered intelligent health management system and is currently being used by Houston Methodist and other leading healthcare systems and ACOs. The platform has a broad range of capabilities which combined create a unique ability to address healthcare challenges across the care continuum (outpatient, inpatient, post-acute, etc.).

It simplifies information retrieval for clinicians, distilling hundreds of pages and notes for an individual patient in a typical electronic health record into an AI-synthesized one-page, individually configurable view that summarizes a patient’s medical history and granular risk profile. ​

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It allows a health system or risk bearing provider entity to identify and proactively manage patients at high risk of dozens of adverse events and excess utilization, including readmissions, extended length of stay and mortality. ​

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It enables sophisticated performance and network analysis. Using the nation’s largest longitudinal dataset (140 million patients, 0.5 trillion records), we have developed detailed performance profile on every physician and health care facility in the country.​

In addition to running Generative-AI and 100s of predictive models in real-time within the EHR environment, HealthVision is also designed to enable rapid deployment of local institutional models allowing agile and cost-effective real-time implementations of internally developed AI solutions.​

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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The Intelligent Health Record

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Downloads

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HDAI, Greenwald RSI 3.0 - Anesthesiology Dec 2022
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Use Case: Comprehensive Case Review

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