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

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Categories

Solutions

Description

Product Description:

INVU, Nuvo's FDA-approved remote patient monitoring platform, allows pregnant patients to conduct prenatal visits and fetal non-stress tests from the comfort of their own homes, without needing the assistance of a clinician to apply the device. Through a protocol driven prescription based service, patients and doctors may now enjoy greater connectivity and easier access to pregnancy monitoring. Patients and providers both experience immediate positive benefits, such as convenience, time saved, peace of mind and reduced costs of care.


INVU stands on the success of several pivotal trials, the results of which have been presented to the SMFM and published in the Gray Journal. We are laying the groundwork for collecting the largest high-resolution pregnancy data set in history, which we plan to use to develop advanced AI features. These will include predictive and prescriptive analytics, tools which can help predict high-risk complications such as preterm birth, as well as assist clinicians in building customized care plans based on patients’ needs.

About Nuvo:

Nuvo is an emerging leader in maternal-fetal connected health, passionate about creating technology that radically transforms the experience of pregnancy care for parents and healthcare providers. Our platform, INVU by Nuvo, is an innovative remote maternal-fetal monitoring solution that connects pregnant patients with a network of care, wherever they may be. INVU has been FDA approved for remote non-stress testing without the need for a clinician present to apply the device, and has recently been published in AJOG's prestigious Gray Journal .

Product Description:

Fabric’s Virtual Care Suite is a telemedicine platform that empowers providers and prioritizes patients. Our white-label virtual care solution increases access for patients and reduces 99% of provider work time. By leveraging asynchronous medical protocols, Fabric enables providers to deliver care in under two minutes, creating a better experience for both patients and providers. The Virtual Care Suite also enables providers to seamlessly transition into synchronous modes of care, including chat, video, and phone, while triaging and routing patients to in-person care when necessary.

Why Asynchronous Virtual Care?

In-person care and synchronous video-based telemedicine are valuable, but these modalities have efficiency limitations and health equity challenges. A concerted strategy shift that leverages asynchronous telemedicine is key. We’ve done the research and proven that asynchronous telemedicine can solve the biggest challenges facing healthcare:

  • Staffing shortages
  • Provider burnout
  • Delayed and avoided care
  • Consumerism
  • Health equity
  • Access to care
  • Patient leakage

90% Adherence to Clinical Guidelines: Fabric leverages patient responses and clinical guidelines to provide efficient, accurate clinical decision support. We have a Clinical Quality Advisory Council made up of 15 healthcare leaders to establish clinical quality best practices for virtual care.

89-Second Provider Work Time: On average, our adaptive patient interviews gather the information a provider needs to make a diagnosis and treatment recommendation in just 89 seconds, compared with 18 minutes for an in-person visit. This gives providers more time to focus their time on patients with more complex needs, while still offering high-quality care for common conditions.

Patients Love the Experience: Patients receive the dual benefits of convenience and efficiency. They can access the system via any web-enabled device and complete their online adaptive interview in a fraction of the time taken by an in-person visit. On average, patients using asynchronous care wait 6:29 minutes for a diagnosis, spend $25 per visit, and rate us at 64 for NPS. 

Drive Patient Acquisition and Revenue: 40% of Fabric’s virtual visits are net new patients for our customers. Those patients are 276% more likely to convert to a health system patient, and the average first-year revenue for each new patient is $2,900. With the lifetime value of a patient expected to exceed a million dollars, a solid digital strategy is a significant competitive advantage – meanwhile, a lack of one poses a threat to organizations.

In-Depth Reporting and Analytics: Our clients capture significant structured data through the online adaptive interview. Using our HIPAA-compliant Fabric Analytics reporting tool, health systems can follow trends related to conditions treated, visit timing, guideline adherence, and triaged patients.

About Fabric Health:

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.

Compatibility level

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Clients

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Product Capabilities

The Fabric Virtual Care Suite is EHR agnostic and supports four virtual care modalities, including asynchronous intelligent adaptive interviews, chat, phone, and video visits. Fabric also offers integrated Spanish translation.

Patients choose between asynchronous intelligent adaptive interviews, chat, phone, and video visits. Depending on the patient's selection and reason for visit, they may share photos with the provider to aid in diagnosis. On average, patients who choose asynchronous care receive a diagnosis and treatment plan in less than seven minutes.

The Fabric care enablement system's asynchronous intelligent adaptive interviews enable providers to diagnose patients in 89 seconds. Zipnosis also offers seamless step-ups to video and in-person care as needed.

Fabric reduces 99% of administrative work using our clinical intelligence and artificial intelligence, enabling providers to treat low acuity patients in 89 seconds—10 times faster than in-person visits.

Fabric supports up-front pricing and sends prescriptions to the patients' preferred pharmacy.

Fabric's product support team is available for patients from 6AM-10PM CST Monday-Friday, and 8AM-8PM CST Saturday, Sunday and Holidays. Fabric's technical support team for admins and providers is available from 8AM-5PM CST Monday-Friday and is oncall after-hours for urgent issues. The Fabric Help Center is accessed via SSO from Zipnosis Admin and Provider portals.

Fabric supports unloading and offloading patient demand based on each organization’s unique goals. Fabric enables organizations to choose how they utilize the nationwide network’s 24/7/365 resources: • Outsource low-acuity visits • Leverage internal capacity across your organization to meet internal and external patient demand • Divert to network providers during high demand or after-hours

Fabric collects comprehensive data on provider utilization, average visit times, most commonly treated conditions, escalations, visit volume, and more.

Use Cases

Description:

Under INVU's existing technology umbrella, we are capable of addressing several patient use cases:


Standard Home Non-Stress Tests

Pregnancy indications include:

  • Mild high-risk
  • Hypertension
  • IUGR
  • Diabetes
  • Advanced maternal age
  • High-BMI

Expected Provider Benefits:

  • Increased throughput
  • Reduced burnout
  • Improved billing
  • Reduced staff burden


Rural Low- and High-Risk Pregnancies

Pregnancy indications include:

  • Poor care access
  • Socioeconomic limits

Expected Provider Benefits:

  • Increased throughput
  • Reduced staff burden


OB-ED Triage

Pregnancy indications include:

  • Low-risk
  • Mild high-risk
  • DFM or anxious mom

Expected Provider Benefits:

  • Provider efficiency
  • Reduced staff burden
  • Reduced hospitalization
  • Improved capacity


De-Hospitalization

Pregnancy indications include:

  • Moderate high-risk (PPROM, preeclampsia, GDM, etc.)

Expected Provider Benefits:

  • Reduced staff burden
  • Improve patient outcomes
  • Reduce hospitalization
  • Improved capacity


Pediatric use cases:

None provided

Users:

None provided

Description:

Fabric has devoted more than 15 years towards building the industry-leading enterprise virtual care platform. While most health systems begin their virtual care strategy with urgent care, Fabric has expanded its clinical use cases to meet primary care, behavioral health, occupational medicine, post-operative and other virtual care needs.

Pediatric use cases:

Fabric offers over 50 protocols for pediatric care, and Fabric's Clinical Quality Advisory Council has a specific subcommittee for reviewing, maintaining, and improving our pediatric protocol suite. 

Users:

The platform was designed with the patient and provider user and their experience in mind focused on ease of use, value, utility, safety, and reliability. Early usability research was applied to optimize the use experience which has led to the high patient NPS of 64.

EHR Integrations

Integrations:

Other

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic

Hardware Compatibility:

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

Integrations:

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

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, eClinicalWorks

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized)

Client Types

Awards

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Differentiators

Differentiators vs EHR Functionality:

NA at this time.

Differentiators vs Competitors:

INVU stands head and shoulders above other remote pregnancy monitoring solutions for a number of reasons. We like to think of these through three distinct lenses as: Deep Data, Early Use, Accessed Anywhere.


Deep Data

  • INVU's proprietary sensor band and accompanying cloud algorithms allow us to gain unprecedented insight in to the womb. Our collection of maternal and fetal data is achieved through a dual-modality of both ECG (biopotential) and PCG (sound) signals, all collected passively. This is unique in the field of pregnancy monitoring, and allows us to collect more reliable and robust signals than the standard of care today. Most of our competitors, on the other hand, utilize either unreliable and outdated legacy technologies such as doppler and toco, or EHG to obtain data.


Early Use

  • INVU is FDA approved for antepartum use from gestational age 32 and onwards, with future FDA approvals intended to push this even earlier. By reaching patients in their third trimester, rather than when they reach the labor and delivery room, we enable greater insight into their health and trends. Our platform is designed to help doctors be proactive, rather than reactive.


Accessed Anywhere

  • With the patient bearing the brunt of the care burden, especially when undergoing high-risk management, INVU was designed to be accessed by anyone, anywhere. As long as there is reliable internet access and a smartphone handy, the patient can undergo their monitoring session in comfort and with peace of mind. This significantly breaks down barriers of access to care, especially for underprivileged and rural patients.


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:

We are asynchronous care experts.

Fabric offers an industry-leading enterprise virtual care solution with four modes of care. Our asynchronous, phone, video, and chat options offer seamless integration between modes within the context of a visit meaning that as communication needs change, your patients and providers never lose connection.

With over 15 years of proven experience in asynchronous care, we are the market leader for online adaptive interviews. While newer entrants offer asynchronous modes of care, our experience and constant improvement to our clinical guidelines offer a higher standard of care at over 90% adherence.

We’ve also instituted a Clinical Quality Advisory Council, a collection of 14 healthcare leaders committed to providing clinical and strategic guidance to the virtual care industry. 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.

We're expanding health equity.
We are on a mission to address healthcare’s biggest challenges. One of those is expanding access for rural, low-income, and non-English-speaking populations. Virtual care is the path to expanding access, but serving these groups requires modalities that work within market limitations. For example, we know that rural populations often struggle with access in terms of physical distance from care facilities as well as limited bandwidth and cell signal. The internet divide significantly affects rural and low-income populations, making them more likely to have metered internet plans or limited broadband access.

Our async-first technology excels in these circumstances because it requires lower bandwidth and can help address patient concerns before connecting them with a provider via another modality. This allows patients to avoid an unnecessarily expensive and time-consuming drive to a clinic or a data-consuming video visit.


Language is another significant barrier to health equity. Many health systems lack the staff to support non-English-speaking patients, causing visits to run longer and increasing the risk of delayed and avoided care. We are excited to announce that the Fabric asynchronous platform is now available in Spanish to support the largest non-English-speaking population in the U.S. Our dynamic content management system:

  • Translates all patient-facing text into Spanish
  • Translates patient inputs back into English for providers
  • Presents care plans and patient education to the patient in Spanish

Keywords

Images

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Videos

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MUA Gray Journal Explainer Video.mp4

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Downloads

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INVU FDA INDICATIONS FOR USE.pdf
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Fabric_Guide to Async Virtual Care.pdf

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Company Details

Founded in 2007

Founded in 2009

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