AccendoWave - the only company that can remotely monitor pain. Pain is the #1 reason for a hospital readmit.

A Health Equity Solution - AccendoWave Benchmarks Pain Data with Machine Learning Technology. AccendoWave does real-time objective individual assessment of patient pain. For use with telemedicine (as you see only have the patient and loose all the non verbal pain cues), Hospital at Home, Home Care, Clinic or Urgent Care site.

AccendoWave utilizes full spectrum brain analysis and deep learning algorithms to objectively measure pain. We have the largest Global Real-Time Benchmarked Pain Database. 

Health care has a pain bias problem. Pain is one of the most subjective measures in all of medicine - and thus subject to bias. There is an extensive body of research that shows bias: women and pain, ethnicity and pain, and seniors and pain. For many in these groups - their #1 complaint is that their pain isn't believed. An unbiased medical technology which can validate patient pain is critical given Provider Health Equity pledges.

Individual patient pain can be validated and compared to a pain database for use with pain care pathways. 

AccendoWave, a Pain Data Company with machine learning pain measurement & management technology. 

AccendoWave, a Top 4 Global Best in Class Health Equity Solution and Top 15 Global Best in Class Remote Monitoring Company, benchmarks pain data (specialty, gender, age) with machine learning technology to eliminate bias, improve outcomes and reduce health care costs. Incubated by HCA (188 Hospitals & 5-6% US Inpatient Care) - Samsung and AT&T are our partners.

AccendoWave has nine objective benchmarked pain databases (Women, Oncology, Maternal Health, Emergency Room, MSK, Med/Surg, ICU, Seniors, Adults). 

Pain is the primary reason patients access healthcare - so pain is a primary driver of health care cost. Pain levels don't show up in claims data nor can objective pain levels be extracted from EHR's. So Employers/Health Plans/Hospitals/Government have no visibility into or data on the primary driver of health care costs.  

Pain has a bias problem. There is extensive research & RWD showing bias: women and pain, ethnicity and pain, seniors and pain. 

The real world data from our health care systems is crushinly similar. #1 complaint of patients of color is that their pain isn't believed. This results in less pain medicine given to these patients and later stage cancer diagnosis.  

Given the new state, health plan and CMS initiatives on health equity, and the recent massive (150 - 250M) hospital pain lawsuits, health systems must utilize objectve pain data and focus on this pain bias problem. 

Additionally, a patient whose pain isn't believed doesn't trust their provider or health care system, and their patient experience is a zero. 

AccendoWave provides objective benchmarked pain data and insights to eliminate pain bias, improve care and reduce stakeholder healthcare costs. 

AccendoWave utilizes full spectrum brain analysis and deep learning algorithms to measure & monitor discomfort/pain. AccendoWave has four products: 

1. Digital Opioid Alternative (Hospital & Home) Value Proposition - Reduce Opioid Usage, Reduce Length of Stay, and Improve Patient Satisfaction. Most Cost Effective Choice to Meet The Joint Commission Non Pharma Pain Treatment Modality Requirement. Home - to reduce opioid usage in the transition from hospital to home. *AT&T reimburses for AccendoWave for 30 days post hospital discharge. 

2. UV Sanitizing & Charging Technology (Hospital) Value Proposition - Infection Control and Simplified Charging for AccendoWave Hospital Technology. 

3. Top 15 Global Best in Class Remote Pain Monitoring Technology. Value Proposition - Objective Data Insights into Pain - A Primary Driver of Cost & Outcomes. *AT&T reimburses for AccendoWave for 30 days post hospital discharge. 

4. Largest Global Real-Time Database on Pain with Nine Separate Objective Pain Databases. Value Proposition - Objective Pain Benchmarked Data to Address Health Equity, Improve Operational Performance, Reduce Pain Lawsuit Risk, Reduce Costs, Improve Patient Satisfaction, and Demonstrate Outcomes. 

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.

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.

AccendoWave is the only company that can remotely objectively measure individual patient pain. The technology can be used in the hospital and to remotely monitor and manage patient pain at home or in non acute care settings.

AccendoWave has the largest global database on pain and offers the only remote pain monitoring solution.

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.

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