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

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eCART
eCART

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:
  • eCART is a research-based, AI-driven software as a medical device (SaMD) that utilizes a machine learning algorithm to continuously assess hospitalized patients’ risk of impending death or intensive care unit (ICU) transfer, assisting medical staff in swift and accurate recognition of patients requiring increased medical attention. eCART draws upon readily available patient data from the EHR, rapidly quantifies disease severity, and predicts likelihood of critical illness onset, hours before it happens.
  • eCART received FDA 510(k) clearance in 2024, with clinical performance data of nearly two million hospitalizations from 21 hospitals, including an unprecedented level of real-world prospective data, to ensure consistent accuracy across geography, age, race, and top medical conditions (e.g. sepsis, COPD, heart failure). 
  • Built upon more than a decade of ongoing scientific research, eCART was developed at UChicago Medicine by Dr. Dana Edelson, MD, MS and Dr. Matthew Churpek, MD, PhD and is well chronicled in published literature. The analytic and workflow have been in use in clinical practice since 2016.
About AgileMD:

At AgileMD, our mission is to improve patient outcomes by making evidence-based care universally accessible. We deliver this through intelligent clinical triggers, deeply integrated workflows, and actionable measurement that empowers clinicians at the point of care.

Founded at the University of Chicago more than 14 years ago, AgileMD solutions now support over 140,000 providers across 400+ U.S. hospitals, informing care for nearly 4.5 million patient encounters. Our impact has been validated in 90+ peer-reviewed publications, demonstrating meaningful improvements in care standardization, mortality, length of stay, and cost management.

AgileMD’s eCART all-cause early warning software is FDA-cleared and proven to outperform sepsis-specific scores. With embedded clinical pathways, it helps frontline teams identify risk earlier and follow role-specific guidelines to order, document, and escalate care. Additionally, our partners use clinical pathways across ambulatory and inpatient settings to improve care standardization across conditions.

AgileMD has been awarded nearly $3 million in federal funding from the U.S. Department of Health & Human Services (HHS), underscoring our commitment to advancing high-quality, data-driven clinical care.

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:

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:

eCART anticipates all cause clinical deterioration in medical-surgical (ward) patients and is validated for sepsis, COPD, heart failure, and COVID-19. The EHR-embedded software device is used to prevent failure to rescue and improve timely ICU transfers using a highly-accurate risk score, an interpretable patient dashboard, and actionable clinical workflows.

Pediatric use cases:

pCART, the pediatric version of eCART, is available for research use and is used in clinical practice today. We would be happy to discuss a partnership.

Users:

Medical-surgical nurses and providers, rapid response & critical care teams

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

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner

Hardware Compatibility:

Desktop

Client Types

Awards

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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:
  • Continuously monitors EHR data in real time
  • Stratifies hospitalized patients by risk of impending all-cause clinical deterioration and sepsis
  • Notifies inpatient providers when patient may need additional assessment and management
  • Recommends clinical pathways with integrated order entry
Differentiators vs Competitors:
  • Authorized: FDA 510(k) cleared
  • Tested: Derived and validated in nearly 3 million patient encounters across 28 hospitals
  • Experienced: 8+ years in clinical use; 10+ years of published academic literature on value over other early warning scores
  • Accurate: High sensitiviy and specificity, meaning fewer false alarms and more efficient focus on the highest risk patients
  • Integrated: Embedded cross-team workflow ensures that risk scores are not ignored and action is taken
  • Benchmarked: Robust reporting, benchmarking, and implementation support drive quality improvement

Health Equity

Keywords

Images

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Videos

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SAI - Enhancing Clinical Documentation

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Downloads

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SAI Case Study
https://www.agilemd.com/updates/ecart-fda-clearance

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Company Details

Founded in 2011

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