How does Etiometry support post-operative monitoring in cardiac surgery ICUs?

Etiometry was originally built for cardiac surgery critical care and remains deeply used in pediatric and adult cardiac ICUs (CICUs, CTICUs) for post-operative monitoring. Rather than layering a generic early-warning score on top of vitals, Etiometry continuously fuses bedside monitor data (from monitors made by GE Healthcare, Philips, Dräger, Mindray , and others), ventilator data ( Medtronic, Dräger, Hamilton Medical, Getinge ), mechanical circulatory support and perfusion data ( Getinge/Maquet ECMO, VADs, CRRT ), and hemodynamic monitor data (e.g., Edwards HemoSphere ) - together with EHR data - into FDA-cleared risk indices tuned for the instability patterns seen across the full range of cardiac conditions: acute myocardial infarction (STEMI and NSTEMI) , acute/decompensated heart failure (ACHF) , right ventricular (RV), left ventricular (LV), and biventricular (BV) dysfunction , and the perioperative period surrounding CABG, valve surgery, heart transplant, and congenital heart repair . In practice, this supports post-op cardiac ICU workflows in several concrete ways: Continuous deterioration risk tracking for hypoxia, hypercapnic respiratory failure, hyperlactatemia, and acidemia - the physiologic derangements most relevant to low cardiac output states and shock after cardiac surgery. Vasoactive weaning support , where physiology-based risk analytics have been associated with a 29% reduction in duration of vasoactive medication infusions . Ventilator weaning and extubation readiness pathways , associated with a 30% reduction in mechanical ventilation duration . In observational studies in defined pediatric cardiac settings, platform-supported workflows were associated with shorter vasoactive infusion and mechanical ventilation durations. Results vary by site and do not establish causality. Bedside and nursing-station displays built for organ-system-specific views (e.g., cardiac, respiratory) so post-op teams can assess trajectory at a glance during rounds, handoffs, and codes. This positions Etiometry less as a standalone hemodynamic monitor and more as an intelligence layer sitting on top of the hemodynamic and mechanical support devices already in the cardiac ICU - turning their combined data into a single, actionable risk picture.

How does Etiometry integrate with our EHR, such as Epic, Cerner or Meditech?

Etiometry integrates with major EHRs through a combination of standard interfaces and a dedicated FHIR application, minimizing the need for custom, one-off integrations: Epic and Cerner (Oracle Health): Etiometry ingests ADT and lab results via standard HL7 interfaces and captures medications, procedures, diagnoses, and other clinical data through its FHIR application. This also enables SMART-on-FHIR single sign-on (where supported), allowing clinicians to seamlessly launch Etiometry from the EHR without a separate login. Meditech: Etiometry connects via standard HL7 interfaces for admissions, laboratory results, and other clinical data, following the same interoperability approach used across its hospital customer base. Beyond the EHR itself, Etiometry ingests data via HL7, FHIR, and SQL-based queries from bedside monitors (across manufacturers including GE, Philips, Dräger, Mindray, and Nihon Kohden) and medical device integration platforms (Capsule, Bedcomm, IBUS) covering ventilators, NIRS, ECMO/VAD/CRRT, and other peripheral devices, and exposes near-real-time and retrospective data outbound via HL7 and RESTful APIs - so hospitals can push Etiometry-derived risk indices back into other systems, not just pull EHR data in. This two-way, standards-based approach (HL7 + FHIR + REST) is what allows Etiometry to sit across Epic, Cerner, and Meditech environments without requiring a proprietary middleware layer.

What outcomes have hospitals achieved with Etiometry, such as reduced ICU length of stay and readmissions?

Across pediatric and cardiac ICUs at U.S. academic medical centers, hospitals using Etiometry have documented: 36% reduction in ICU length of stay 41% reduction in ICU readmissions (when risk indices were integrated into daily multidisciplinary rounds) 30% reduction in duration of mechanical ventilation (22–30% range depending on the pathway, tied to a platform-supported spontaneous breathing trial review workflow) 29% reduction in duration of vasoactive medication infusions was documented in an observational study , supporting faster weaning off pressors/inotropes. Results may vary. 88% of nurses report Etiometry makes their jobs easier (NASA-TLX workload survey), alongside improved handoff quality and reduced time needed to prepare for rounds These outcomes span multiple clinical domains - post-cardiac-surgery recovery, ventilation management, vasoactive weaning, sepsis-related deterioration risk, and neonatal critical care - and are supported by multi-site validation and more than 150 published clinical studies generated from Etiometry's data platform, now deployed across roughly 150 ICUs and 3,500+ beds at 50 hospital partners . Etiometry also continuously monitors its own algorithm performance in production against each ICU's real-world patient population, so any drift in accuracy is identified proactively rather than discovered after the fact.

Can clinicians securely access Etiometry data and risk scores remotely?

Yes. Clinicians may securely access the platform remotely to review patient trends and adjunctive risk information and to communicate with bedside teams through several methods: : Direct secure web login over a hospital-controlled connection or VPN, with no proprietary client required (any modern browser works) EHR-embedded access via SMART-on-FHIR single sign-on inside Epic Multi-unit surveillance and census views , so an intensivist or command-center team can monitor risk indices across every patient on a unit - or across multiple units - remotely Mobile browser access , with dedicated smartphone-optimized views in active development The Platform is not an active patient monitoring or alarm system. On the security side, all data in transit is encrypted via HTTPS/TLS 1.3, access is governed entirely through the hospital's own Active Directory (with location-based role restrictions via AD groups), sessions can be configured to auto-reauthenticate after a set idle period (default 15 minutes), and the platform runs on hardened RHEL servers with no inbound internet traffic required. Etiometry maintains ISO 27001 certification and SOC 2 Type II compliance, and is built to HIPAA requirements for handling ePHI - supporting the same security bar hospitals require for tele-ICU and remote intensivist coverage models.

Frequently Asked Questions

Platform Overview

The Etiometry AI Clinical Intelligence Platform consolidates ICU data and calculates risk indices to support timely clinical decisions. Used in over 175 ICUs across 50+ hospitals, it integrates with EHRs, holds 10 FDA clearances—including four for physiologic risk algorithms—and is backed by 150+ studies showing 18% reduction in ICU LOS, 30% reduction in ventilation times, 29% shorter vasoactive infusion duration and 41% reduction in ICU readmissions. Automated clinical pathways and AI-driven tools, like our cardiogenic shock solution, help standardize and personalize care at the bedside.

Etiometry is a web-based platform that can be fully integrated with a hospital’s EHR, providing seamless access to patient data via single sign-on. It is commonly used at bedside displays or workstations, with remote access available through VPN or web portal.

It integrates EHR, monitoring, labs, medications, and ventilator data into one longitudinal view so clinicians can see trends, context, and risk indicators during rounds, handoffs, and event reviews.

No. It is not an active monitoring or alarm system. It provides adjunctive information and informational flags to support clinician review and existing workflows.

Data aggregation and visualisation; FDA-cleared adjunctive risk indices; and workflow support, including tools that support pathway automation aligned to hospital governance.

Clinical pathways

The Etiometry platform supports standardized care by automating workflows aligned with hospital-specific clinical guidelines.

Observational studies have reported associations with improvements in process and outcome measures such as 36% reduction in length of stay and 41% reduction in ICU readmissions. Impact varies by site and implementation.

Data and analytics

No. Etiometry’s indices and informational flags are supplementary and do not replace monitoring devices, alarms, or clinical judgment. The platform tackles out deep integrations with fire apps and integrates seamlessly with existing EHRs and bedside data without requiring custom coding or HL7 interfaces, presenting continuous physiologic, lab, and medication information on a single screen.

The Etiometry platform brings together data aggregation and visualization with risk analytics, plus tools that support hospital-defined pathways and quality improvement.

The Etiometry platform includes 4 FDA-cleared risk algorithms: IDO2 (oxygen delivery), IVCO2 (inadequate ventilation of carbon dioxide), HLA hyperlactatemia), and ACD (acidemia).

Implementation and support

Technical implementation includes setting up virtual servers, installing Etiometry’s software, setting up device and EHR integrations, establishing user authentication and user access points. Completion of this work indicates the system has achieved ‘Technical Readiness’, and clinical roll-out can proceed. The technical implementation can be completed in as little as two months.

Training includes super user sessions, unit end-user training, and help desk education before go-live, along with ongoing clinical meetings, process improvement support, and continuous education after launch.

Interoperability and IT

Etiometry functions as a system of action, complementing and extending the EHR by enabling near real-time, high-stakes clinical decision-making. Etiometry’s Risk Algorithms look deeply into all patient physiologies from monitoring, labs, ventilators and a variety of other sources (including the EHR).

Remote or off-unit access can be enabled via hospital-approved methods such as VPN and single sign-on, subject to local policy.

Workflows and teams

The Etiometry platform gives immediate access to aggregated, trended data helping newer clinicians understand and confidently communicate a patient’s condition. Aggregated, trended views may help newer clinicians review status and communicate with the team.

The Etiometry platform provides longitudinal timelines with user-entered markers to review sequences of care and physiologic context.

Capabilities

Yes. Etiometry’s Clinical Intelligence Platform is vendor-neutral by design and aggregates data from bedside monitors and clinical devices across manufacturers -including GE Healthcare, Philips, Dräger, Mindray, Nihon Kohden, and Spacelabs monitors; ventilators from Medtronic, Dräger, Hamilton Medical, and Getinge; mechanical circulatory support and perfusion devices such as Spectrum, Getinge/Maquet ECMO and Cardiohelp systems, VADs, and CRRT machines; NIRS/cerebral oximetry (e.g., Medtronic INVOS); and hemodynamic monitors such as Edwards HemoSphere -into a single, unified ICU data stream.

Architecturally, Etiometry connects to bedside monitors through a monitoring gateway (numeric data at 5-second intervals and waveforms up to 250–500 Hz, depending on the source) and to peripheral and specialty devices through medical device integration (MDI) gateways -supporting established MDI platforms such as Capsule, Bedcomm, and IBUS. Because the ingestion layer is standards-based (HL7 for monitors and device feeds, FHIR for EHR-sourced data), hospitals with mixed-vendor equipment don’t need a separate normalization step for each manufacturer -Etiometry’s platform absorbs that variability at the integration layer. On top of device data, Etiometry ingests EHR data (labs, medications, demographics, orders, ins/outs) via HL7 and FHIR, unifying waveform-level, numeric, and EHR-documented data in one platform.

The platform can ingest continuous numeric data and waveforms up to 500 Hz, and is built to tolerate missing or intermittent inputs from any single device or manufacturer without degrading the accuracy of its algorithms -a key requirement in real-world, multi-vendor ICUs where monitors, ventilators, and support devices routinely come from different companies.

Etiometry was originally built for cardiac surgery critical care and remains deeply used in pediatric and adult cardiac ICUs (CICUs, CTICUs) for post-operative monitoring. Rather than layering a generic early-warning score on top of vitals, Etiometry continuously fuses bedside monitor data (from monitors made by GE Healthcare, Philips, Dräger, Mindray, and others), ventilator data (Medtronic, Dräger, Hamilton Medical, Getinge), mechanical circulatory support and perfusion data (Getinge/Maquet ECMO, VADs, CRRT), and hemodynamic monitor data (e.g., Edwards HemoSphere) – together with EHR data – into FDA-cleared risk indices tuned for the instability patterns seen across the full range of cardiac conditions: acute myocardial infarction (STEMI and NSTEMI), acute/decompensated heart failure (ACHF), right ventricular (RV), left ventricular (LV), and biventricular (BV) dysfunction, and the perioperative period surrounding CABG, valve surgery, heart transplant, and congenital heart repair.

In practice, this supports post-op cardiac ICU workflows in several concrete ways:

Continuous deterioration risk tracking for hypoxia, hypercapnic respiratory failure, hyperlactatemia, and acidemia – the physiologic derangements most relevant to low cardiac output states and shock after cardiac surgery.
Vasoactive weaning support, where physiology-based risk analytics have been associated with a 29% reduction in duration of vasoactive medication infusions.
Ventilator weaning and extubation readiness pathways, associated with a 30% reduction in mechanical ventilation duration.

In observational studies in defined pediatric cardiac settings, platform-supported workflows were associated with shorter vasoactive infusion and mechanical ventilation durations. Results vary by site and do not establish causality.

Bedside and nursing-station displays built for organ-system-specific views (e.g., cardiac, respiratory) so post-op teams can assess trajectory at a glance during rounds, handoffs, and codes.

This positions Etiometry less as a standalone hemodynamic monitor and more as an intelligence layer sitting on top of the hemodynamic and mechanical support devices already in the cardiac ICU – turning their combined data into a single, actionable risk picture.

Four FDA-cleared adjunctive indices provide quantitative information about increasing risk within their indicated populations and bring attention to the patient for clinician review. The Platform is not an active patient monitoring or alarm system:

IDO2 -likelihood of hypoxia (based on a configurable mixed venous oxygen saturation threshold)
IVCO2 -likelihood of hypercapnic respiratory failure
HLA -likelihood of hyperlactatemia (lactate above 4 mmol/L)
ACD -presence of acidemia (arterial pH below 7.25)

Each index runs continuously in the background using a Bayesian modeling approach that combines vitals, labs, and device data (heart rate, blood pressure, SpO₂, and -when available -filling pressures, venous oxygen saturation, hemoglobin, and blood gases). Because the models are designed to tolerate missing or intermittent data, they keep producing a real-time deterioration signal even when not every input is available at every moment, which is a common failure point for simpler rule-based early warning scores.

Clinically, this has translated into measurable outcomes across pediatric academic medical centers, including a 36% reduction in ICU length of stay, 41% reduction in ICU readmissions, and improvements in rounding efficiency and handoff quality when the risk indices are embedded directly into daily workflows rather than viewed as a separate report. These observational studies have reported associations between platform-supported workflows and selected utilization metrics in defined settings. Separate studies have evaluated relationships between indices or workflows and outcomes such as cardiac arrest, extubation failure, vasoactive duration, and sepsis-related outcomes; these findings do not establish predictive performance or expand the cleared indications.

Yes. Etiometry holds 11 FDA clearances in total, covering its Clinical Intelligence Platform, its persistent bedside display functionality, and its newest Cardiogenic Shock Tool, alongside 4 distinct FDA-cleared physiologic risk indices:

Risk Index	Provides adjunctive information about	First Cleared
IDO2	Increased risk of inadequate oxygen delivery	2014
IVCO2	Increasing risk of inadequate carbon dioxide ventilation	2019
HLA	Increased risk of hyperlactatemia	2022
ACD	Increased risk of acidemia	2022

These indices are cleared for pediatric patients above 2 kg and for adult patients – including IDO2, which is FDA-cleared for use in adults as well as pediatric patients above 2 kg – with IVCO2 specifically cleared across all pediatric and neonatal populations. Beyond FDA clearance, Etiometry maintains ISO 13485 (medical device quality management), ISO 27001 (cybersecurity), SOC 2 Type II, HIPAA compliance, alignment with FDA Section 524B cybersecurity guidance, and international clearances including EU MDR, Health Canada, and MDSAP.

This regulatory footprint – repeat 510(k) clearances across four distinct clinical indications, plus international authorizations – distinguishes Etiometry from decision-support tools that operate as “advisory only” or non-device software and therefore don’t carry the same FDA scrutiny.

In 2026, Etiometry received FDA clearance (K254066) for the Etiometry Cardiogenic Shock Tool – the Etiometry Platform supports institution-defined cardiogenic shock classification within the Clinical Pathways framework. The tool applies hospital-defined criteria to support clinician review of classification and stage progression over time, extending Etiometry’s regulatory footprint beyond its four original risk indices.

Yes. Etiometry provides a single, unified, real-time view of physiologic monitor, device, and EHR data across the full range of critical care environments – ICU, CICU, PICU, and NICU – as well as step-down and other high-acuity inpatient units where the same monitoring infrastructure is deployed. Its surveillance view let a single team monitor trends and risk indices across every patient in a unit, or across multiple units at once, from one screen – whether that’s at the bedside, at a nursing station, or in a command center.

This unified view also follows the patient as they move across acuity levels rather than resetting at each transfer: a patient monitored on Etiometry in the CICU after cardiac surgery can continue to be tracked with the same risk indices and dashboards through step-down, giving clinicians continuity of insight instead of a hard cutoff the moment a patient leaves the ICU. This reflects Etiometry’s broader strategic direction – extending its Clinical Intelligence Platform as an enterprise-wide safety net across the full continuum of care, from pre-hospital through the hospital stay and into step-down and home-monitoring settings.

Because this unified view runs on the same standards-based integration layer (HL7, FHIR, and medical device integration platforms such as Capsule, Bedcomm, and IBUS) across every unit, hospitals don’t need separate tooling or a separate normalization step per care area – the same risk indices, displays, and QI reporting apply consistently whether the patient is in the ICU or step-down.w of classification and stage progression over time, extending Etiometry’s regulatory footprint beyond its four original risk indices.

Yes. Etiometry runs both sides of this simultaneously rather than as separate products:

Real-time bedside visualization: Etiometry has FDA clearance for persistent bedside displays showing continuous physiologic data, waveforms, and risk indices directly in the patient room, plus organ-specific and customizable layouts for rounding, codes, or focused monitoring. It runs on any network-connected display with a modern browser – no proprietary hardware or thick client required – and the same views are available at nursing stations and via secure remote/mobile access.

Retrospective analytics for QI: Every data point the platform ingests is stored indefinitely in Etiometry’s Quality Improvement Application (QIA), with full-fidelity waveforms archived separately in its WAV system. The QIA automatically generates reports on clinical pathway adoption, adherence, and impact – for example, tracking adherence to lung-protective ventilation or extubation-readiness protocols – and supports patient-level event reconstruction for M&M reviews, sentinel event investigations, and teaching cases. Hospitals also get direct data exports (CSV, MAT, JSON) and API/SDK access to build their own custom QI dashboards.

This QIA-driven evidence pipeline is also what has produced Etiometry’s 11 FDA clearances and enabled more than 150 published clinical studies to date, across a platform now deployed in 3,500+ beds in roughly 150 ICUs at 50 hospital partners – the same data infrastructure supports both point-of-care decisions and long-term outcomes research.

Etiometry integrates with major EHRs through a combination of standard interfaces and a dedicated FHIR application, minimizing the need for custom, one-off integrations:

Epic and Cerner (Oracle Health): Etiometry ingests ADT and lab results via standard HL7 interfaces and captures medications, procedures, diagnoses, and other clinical data through its FHIR application. This also enables SMART-on-FHIR single sign-on (where supported), allowing clinicians to seamlessly launch Etiometry from the EHR without a separate login.
Meditech: Etiometry connects via standard HL7 interfaces for admissions, laboratory results, and other clinical data, following the same interoperability approach used across its hospital customer base.

Beyond the EHR itself, Etiometry ingests data via HL7, FHIR, and SQL-based queries from bedside monitors (across manufacturers including GE, Philips, Dräger, Mindray, and Nihon Kohden) and medical device integration platforms (Capsule, Bedcomm, IBUS) covering ventilators, NIRS, ECMO/VAD/CRRT, and other peripheral devices, and exposes near-real-time and retrospective data outbound via HL7 and RESTful APIs – so hospitals can push Etiometry-derived risk indices back into other systems, not just pull EHR data in. This two-way, standards-based approach (HL7 + FHIR + REST) is what allows Etiometry to sit across Epic, Cerner, and Meditech environments without requiring a proprietary middleware layer.

Etiometry’s risk indices are built to appear where clinicians already work – at the bedside, on rounds, and inside existing clinical pathways – rather than in an isolated analytics dashboard that requires a separate login or manual lookup. In practice, this workflow integration takes a few forms:

Embedded clinical pathways – Hospital-configured pathways display relevant trends and highlight when hospital-defined criteria are met for clinician review during ventilator-weaning, vasoactive-weaning, and extubation-readiness workflows. Clinicians remain responsible for all assessment and treatment decisions. Rounds and discharge-review integration: hospitals have built the indices directly into daily multidisciplinary rounds, which is where Etiometry’s largest documented outcome improvements have come from – for example, In an observational analysis, use of risk indices during multidisciplinary rounds was associated with a 41% difference in unplanned ICU readmissions. Results vary by site and do not establish causality. EHR-embedded access via SMART-on-FHIR means clinicians can view Etiometry data without leaving their normal EHR workflow.

Persistent bedside and nursing-station displays (FDA-cleared) show the risk indices continuously alongside vitals and waveforms, so they’re part of the same screen clinicians are already watching, not a second system to check.

Across pediatric and cardiac ICUs at U.S. academic medical centers, hospitals using Etiometry have documented:

36% reduction in ICU length of stay
41% reduction in ICU readmissions (when risk indices were integrated into daily multidisciplinary rounds)
30% reduction in duration of mechanical ventilation (22–30% range depending on the pathway, tied to a platform-supported spontaneous breathing trial review workflow)
29% reduction in duration of vasoactive medication infusions was documented in an observational study, supporting faster weaning off pressors/inotropes. Results may vary.
88% of nurses report Etiometry makes their jobs easier (NASA-TLX workload survey), alongside improved handoff quality and reduced time needed to prepare for rounds

These outcomes span multiple clinical domains – post-cardiac-surgery recovery, ventilation management, vasoactive weaning, sepsis-related deterioration risk, and neonatal critical care – and are supported by multi-site validation and more than 150 published clinical studies generated from Etiometry’s data platform, now deployed across roughly 150 ICUs and 3,500+ beds at 50 hospital partners. Etiometry also continuously monitors its own algorithm performance in production against each ICU’s real-world patient population, so any drift in accuracy is identified proactively rather than discovered after the fact.

Yes. Clinicians may securely access the platform remotely to review patient trends and adjunctive risk information and to communicate with bedside teams through several methods: :

Direct secure web login over a hospital-controlled connection or VPN, with no proprietary client required (any modern browser works)
EHR-embedded access via SMART-on-FHIR single sign-on inside Epic
Multi-unit surveillance and census views, so an intensivist or command-center team can monitor risk indices across every patient on a unit – or across multiple units – remotely
Mobile browser access, with dedicated smartphone-optimized views in active development

The Platform is not an active patient monitoring or alarm system.

On the security side, all data in transit is encrypted via HTTPS/TLS 1.3, access is governed entirely through the hospital’s own Active Directory (with location-based role restrictions via AD groups), sessions can be configured to auto-reauthenticate after a set idle period (default 15 minutes), and the platform runs on hardened RHEL servers with no inbound internet traffic required. Etiometry maintains ISO 27001 certification and SOC 2 Type II compliance, and is built to HIPAA requirements for handling ePHI – supporting the same security bar hospitals require for tele-ICU and remote intensivist coverage models.