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

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HealthVision
HealthVision

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:

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. 

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:

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 

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, Ambulatory EMR, Ancillary EMR

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic

Hardware Compatibility:

None provided

Client Types

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:

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. ​

 ​

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. ​

 ​

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. ​

 ​

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.​

Health Equity

Keywords

Images

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Videos

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SAI - Enhancing Clinical Documentation

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The Intelligent Health Record

Downloads

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SAI Case Study
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HDAI, Greenwald RSI 3.0 - Anesthesiology Dec 2022

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