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Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
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Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
MyEleanor
MyEleanor

Categories

Solutions

Description

Product Description:

Fabric's Engagement Suite offers an AI-powered virtual assistant that integrates with websites, patient portals, or mobile apps to help patients find the care and resources they need. The assistant integrates with the EMR and is available to patients 24/7. 

The Engagement Suite also offers AI-powered patient outreach for pre- and post-visit use cases. Patent messaging integrates with the EHR to log encounter notes and automatically flag cases and trigger escalation workflows. 

About Fabric:

Fabric is a health tech company that powers healthcare providers to move faster, work smarter, and deliver better care through its care enablement system. The system offers three solutions: In-Person Care Suite, Virtual Care Suite, and Engagement Suite. 

Leveraging conversational AI and intelligent adaptive interviews, Fabric unifies virtual and in-person care across intake, triage, routing, and treatment while automating workflows for staff. Built by a team of physicians and clinical informaticists, Fabric protocols uphold excellence in care quality while offering omnichannel access for patients. The results enable clinicians to work 2-10 times faster (dependent on setting), decrease call center volume by 15%, and increase utilization of unfilled visit blocks. 

Some of Fabric’s customers include Luminis Health, OSF HealthCare, MUSC Health, and Intermountain. Fabric is backed by Thrive Capital, GV (Google Ventures), Salesforce Ventures, Vast Ventures, BoxGroup, and Atento Capital.

Product Description:

MyEleanor changes everything. She defines Collaborative AI, a future for population health and care management. Eleanor is able to conduct clinical conversations with patients. She is engaging, compassionate and empathetic building a relationship of trust with patients. MyEleanor also remembers, so the patient isn’t burdened by start-from-scratch syndrome.

What’s more, Eleanor not only understands clinical content but is capable of advanced voice analytics, which means understanding not just what the patient says, but how they say it, detecting hospitilzation risk from the "music" of their voice.

Thanks to our pioneering Collaborative AI model, Eleanor immediately integrates into workflows and her conversations gather patient information unlike anything else in healthcare. It’s like finance suddenly gave you approval to hire as many people as you need to manage entire risk populations.

About MyndYou:

Backed by our proprietary data analytics engine, MyEleanor detects subtle changes in a patient's voice, listening not only to what patients say, but also how they say it. She can predict risk, triage patients, and send actionable information to care team members so they can spend more time doing what they do best: Caring for patients. 

MyndYou has developed the world’s most empathetic, fully-present, richly-communicative virtual care coordinator. MyEleanor is an AI-powered care navigator that is able to make thousands of highly personalized phone calls every day; transforming remote care management by overcoming the desperate shortage of skilled nursing staff. Allowing care teams to spend their time on more meaningful patient interactions – and assuring predictable care delivery.

We are a group of clinicians, technical experts, and innovators on a mission to pair simple but sophisticated technology and actionable data with a human touch to keep people safe, engaged, and healthy at home.

MyndYou’s award-winning AI-powered Care Assistant, MyEleanor, helps close care gaps, improve engagement, and extend reach to help high- and rising-risk patient-members thrive at home. 

The World Economic Forum selected MyndYou as of the 100 most promising

technology pioneers of 2021--companies that are shaping industries across a variety of sectors, including healthcare. Learn more: https://bit.ly/mytechP21. 

Compatibility level

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Clients

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Product Capabilities

Fabric's Engagement Suite is powered by Fabric's Clinical Intelligence Engine, Loom. Loom is a clinical expert system and conversational ai that captures patient data across channels and automates workflows for clinical and administrative staff. Patient interface with conversational ai that asks questions to identity disposition, gather clinical symptoms to aid in triage, and routes patients to the appropriate point of care.

Fabric reads and writes to the EMR to ensure up-to-date patient information is being used to identify, create, and update patient records.

Fabric complies with all patient privacy regulation and upholds security and compliance standards with our SOC2 Type II Certification.

Fabric's Engagement Suite is powered by Fabric's Clinical Intelligence Engine, Loom. Loom is a clinical expert system and conversational ai that captures patient data across channels and automates workflows for clinical and administrative staff. Patient interface with conversational ai that asks questions to identity disposition, gather clinical symptoms to aid in triage, and routes patients to the appropriate point of care.

Fabric is consistently updating the number of parameters are models are capable of understanding, and we continue to invest in our clinical teams and intelligence engine.

Fabric stays competitive with the latest advancements in AI, while meticulously testing medical relevance and adherence criteria across our products.

Advanced voice analytics detect changes in health, emotion, sentiment, intent and context

Seamless integrations widely available

HIPAA and SOC2 compliant

Patients speak with Eleanor for an average of 4 minutes

MyndYou has completed millions of calls, executing thousands per day

MyndYou's product roadmap is robust and continuously evolving with advancements in AI using the human voice

Use Cases

Description:

FAQs, Symptom checking, Triage, Appointment Scheduling, Live chat, Clinic Search, Doctor Search, Patient portal assistance.

Pediatric use cases:

Fabric's symptom checker includes pediatric protocols and care routing.

Users:

Hospitals and health systems provide Fabric's engagement tools to their patients to help guide them to care and resources.

Description:

Transitional Care Management, Chronic Care Management, Remote Patient Monitoring, Gaps in Care, SDOH, Health Equity, and RIsk Assessments

Pediatric use cases:

Same

Users:

Care Managers, Nurses, Care Navigators, Population Health Leaders, Operational Leaders, Digital Innovation teams

EHR Integrations

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, Patient portal, Website / public online sources

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, Other

Hardware Compatibility:

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

Integrations:

Acute care EMR, Pop health platform, Behavioral health

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Would prefer not to disclose

Hardware Compatibility:

None provided

Client Types

Differentiators

Differentiators vs EHR Functionality:

Fabric's Virtual Care Suite is powered by Fabric's Clinical Intelligence Engine, Loom. Loom is a clinical expert system and conversational ai that captures patient data across channels and automates workflows for clinical and administrative staff. Using automated clinical symptom gathering, Loom generates clinical SOAP notes, treatment plans, visit summaries and more. When applied across 2,000+ unique diagnoses, Loom automates 99% of administrative burden for staff and makes clinicians 2-10x faster at providing care. Additionally, Loom offers clinical decision support to providers to uphold the highest levels of care quality. 

Additionally, Fabric's team of expert clinicians builds and maintains our clinical expert system and content in coordination with our Clinical Quality Advisory Council, a team of 14 practicing clinical executives from around the country. Council members perform reviews of Fabric's evidence-based clinical protocols. Additionally, the council supports ongoing quality assurance efforts and helps establish clinical quality best practices for virtual care. The council also guides in-depth studies around the safety, effectiveness, and value of virtual care.

Differentiators vs Competitors:

Fabric's Virtual Care Suite is powered by Fabric's Clinical Intelligence Engine, Loom. Loom is a clinical expert system and conversational ai that captures patient data across channels and automated workflows for clinical and administrative staff. Using automated clinical symptom gathering, Loom generates clinical SOAP notes, treatment plans, visit summaries and more. When applied across 2,000+ unique diagnoses, Loom automates 99% of administrative burden for staff and makes clinicians 2-10x faster at providing care. Additionally, Loom offers clinical decision support to providers to uphold the highest levels of care quality. 

Additionally, Fabric's team of expert clinicians builds and maintains our clinical expert system and content in coordination with our Clinical Quality Advisory Council, a team of 14 practicing clinical executives from around the country. Council members perform reviews of Fabric's evidence-based clinical protocols. Additionally, the council supports ongoing quality assurance efforts and helps establish clinical quality best practices for virtual care. The council also guides in-depth studies around the safety, effectiveness, and value of virtual care.

Differentiators vs EHR Functionality:

EHRs do not offer Collaborative AI technology

Differentiators vs Competitors:

1. Ability to make outbound, proactive phone calls to engage patients in a dynamic, open-ended, empathetic conversation (for - on-average - 4 minutes) about their health and well-being.

2. Detect hospitilization risk by listneing to not only what patients say, but how they say it; uncovering hospitilization risk that go unnoticed by other technologies  

Keywords

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Company Details

Founded in 2009

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