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Description
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Use cases
EHR integrations
Client types
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Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Awards
Differentiators
Keywords
Media
Company details
Etiometry platform
Etiometry platform

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Categories

Solutions

Description

Product Description:
Lenus enables patient generated health data in the form of physiology and patient reported outcomes from apps, wearables and sensors to be shared with health professionals and machine learning models as part of new care pathways. The platform offers a suite of FHIR Data APIs, identity, access and consent management services. A suite of EHR connectors provides healthcare organisations with a single point of integration for data gathered from patient facing digital health services and is compliant with OpenEHR. Lenus can be be deployed as SaaS model or to client managed Azure tenancy with options for federated identity management, custom branding, end point domains and EHR connectors.
About Storm ID:
Storm ID is a digital transformation delivery partner for the healthcare sector. They developed Lenus, a system of interoperability, to bridge the gap between existing healthcare systems and new digital therapeutics and diagnostics through use of AI and machine learning. Lenus uses patient-generated health data to enable services that reduce rehospitalisation rates and waiting times and improve health outcomes. Services have been provisioned in the NHS to transform chronic condition care pathways for specialities like COPD, AF, dermatology and more. Prevalence of chronic conditions is increasing. The healthcare sector requires innovative solutions that use AI as part of routine care. For payers, Lenus reduces healthcare costs; for providers, Lenus increases customer engagement; and, for customers, Lenus delivers the type of digitally enabled health services that they are looking for.
Product Description:

Web-based clinical intelligence platform, primarily utilized in critical care units to guide clinical decisions. The platform has full interoperability with the Electronic Health Record, and combines all relevant data within the complex critical care environment into one visualization to provide a full picture of a patient and their longitudinal trends. FDA-cleared algorithms continually assess the incoming patient information and provide early warning signs of clinical deterioration to aid care teams with determining interventions and treatment. Automated clinical workflows, customized to each individual ICU, provide care efficiency and positively impact clinical outcomes. 

Published clinical outcomes showing:

  • Up to 36% reduction in ICU length of stay
  • 41% reduction in ICU readmissions
  • 22% reduction in time on ventilation
  • 18% reduction in time on vasoactive medication
About Etiometry:

Commercial stage company with market leading AI clinical decision support platform for bedside and remote monitoring of high acuity patients. Published outcomes and strong ROI; utilized in 40+ hospitals & health systems.

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

Use Cases

Description:
* Prevent unnecessary hospital admissions through remote monitoring of patients * Reduce unnecessary face to face appointments through custom data requests submitted remotely * Improve individuals' engagement with their own health and adherence to medication * Reduce duplication and unnecessary processes through user managed access to patient data * Personalised care plans by utilising patient generated data as part of assessment * Population health studies and algorithm development through pre-consented patient data streams
Pediatric use cases:

None provided

Users:

None provided

Description:

Bedside clinical decision support for adult and pediatric ICUs;

Remote monitoring and eICU / command centers;

Automated workflows (e.g. unit-wide surveillance, extubation readiness, goal-directed therapy, vasoactive medication weaning)

Pediatric use cases:

Assessing patient trends and intervention needs (same for peds and adults), at bedside and remotely. FDA-cleared AI algorithms to highlight patient risks.

Users:

Physicians, nurses, Respiratory Therapists, Advanced Practice Practitioners

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

None provided

Hardware Compatibility:

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

Integrations:

Acute care EMR, ADT

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner, Meditech, Allscripts

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized)

Client Types

None provided

Awards

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Differentiators

Differentiators vs EHR Functionality:
* Supports new care pathways that leverage patient facing digital services * Share data from wearables, sensors and apps to dashboards/EHR * Connect new and existing patient facing services via APIs * Apple HealthKit and Google Fit integration * GDPR compliant consent model * Federated identity * Enforce data interoperability using HL7 FHIR and OpenEHR * Custom service interfaces for clinicians * Remote monitoring and messaging * Machine assisted diagnosis and alerts
Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

Etiometry provides functionality to seamlessly extend the EHR to be effective for care in high-acuity patient settings (e.g. ICU), including automating clinical workflows, and providing in-depth, longitudinal trends.

Differentiators vs Competitors:

Etiometry is the only CDS platform with 4 FDA-cleared risk algorithms and the platform's data collection capabilities have led to a vastly larger number of supporting clinical studies (>150).

Keywords

Images

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Etiometry Platform.png

Videos

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ETI-1231-Thousand Data Points_Standard_ETI-V-001-02-202306 (1).mp4

Downloads

No content provided

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Etiometry_Overview_Clinical_Highlights.pdf

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Company Details

Founded in 2001

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