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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:
Medasense Biometrics Ltd. “Medasense” is a medical device company that has developed an innovative, platform technology that can objectively assess and monitor changes in a patient’s pain level by processing multiple physiological parameters affected by pain and by analgesic administration. Until now, clinicians have had to rely on a patients’ subjective assessment or their own judgement where patients are unable to communicate their pain (under sedation, babies/children, mentally ill, etc.). Better assessment of pain can contribute to improved clinical outcomes and a reduction in costs associated with non-optimal pain management. Medasense's flagship product, the PMD-200™, is an objective pain monitoring system for operating rooms and critical care, where patients under general anesthesia are unable to communicate their pain. The system consists of a non-invasive finger probe that records multiple pain-related physiological signals, and the PMD-200™ monitor, which uses a composite algorithm to determine an individual’s real-time, pain level index - NoL™. Considering the complex nature of pain, Medasense technology uses a unique multi-parametric approach and advanced statistical modeling to convert complicated data into a patient's “Signature of Pain”. The NoL Index enables clinicians to optimize and personalize pain management, helping improve patient outcomes at hospitals, clinics, and in the home.
About Medasense Biometrics Ltd.:
Medasense Biometrics Ltd. “Medasense” is a medical device company that has developed an innovative, platform technology that can objectively assess and monitor changes in a patient’s pain level by processing multiple physiological parameters affected by pain and by analgesic administration. Until now, clinicians have had to rely on a patients’ subjective assessment or their own judgement where patients are unable to communicate their pain (under sedation, babies/children, mentally ill, etc.). Better assessment of pain can contribute to improved clinical outcomes and a reduction in costs associated with non-optimal pain management. Medasense's flagship product, the PMD-200™, is an objective pain monitoring system for operating rooms and critical care, where patients under general anesthesia are unable to communicate their pain. The system consists of a non-invasive finger probe that records multiple pain-related physiological signals, and the PMD-200™ monitor, which uses a composite algorithm to determine an individual’s real-time, pain level index - NoL™. Considering the complex nature of pain, Medasense technology uses a unique multi-parametric approach and advanced statistical modeling to convert complicated data into a patient's “Signature of Pain”. The NoL Index enables clinicians to optimize and personalize pain management, helping improve patient outcomes at hospitals, clinics, and in the home.
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

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Use Cases

Description:

None provided

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:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

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:

None provided

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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Videos

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

Downloads

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Etiometry_Overview_Clinical_Highlights.pdf

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