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Wrist Monitor
Wrist Monitor

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Solutions

Description

Product Description:
Biobeat is a leading Remote Patient Monitoring provider. Our remote patient monitoring platform is the next generation of Health AI, measuring vital signs in real-time and using wireless, non-invasive medical-grade technology and Machine Learning in order to provide actionable insights on patient care. Our platform includes everything healthcare providers and practitioners need to effectively and efficiently monitor their patients: Provides an Early Warning Score with customized thresholds per patient and scenario. Identifies changes in vitals and alerts high-risk patients. Enables access to real-time patient data paired with AI capabilities to provide insights on trends and bring efficiency into the process of healthcare delivery. Optimizes all data collection, providing medical staff with the required clinical data instantly. Empowers healthcare practitioners to adopt a data-driven approach to personalized medicine.
About Biobeat:

Biobeat’s remote patient monitoring health-AI platform includes a wearable monitor which utilizes a photoplethysmography-based (PPG) sensor to continuously provide accurate patient readings of 13 health parameters, including cuffless blood pressure, pulse rate, respiratory rate, blood oxygen saturation, and more. Aggregated patient health data is viewed by medical staff via Biobeat’s secure cloud-based patient management platform, which utilizes a real-time early warning score system that incorporates advanced AI-based algorithms to provide alerts on patient health status and potential deterioration. Biobeat’s wearable devices are the first devices to be FDA-Cleared for cuffless non-invasive blood pressure monitoring and are also CE Mark certified.

Product Description:

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. 

About AccendoWave:

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. 

Compatibility level

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Clients

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Use Cases

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

Description:

1. Hospital at Home initiatives 2. Keeping COVID patients out of the hospital while monitoring progression. 3. Manage non COVID patients with chronic or pre-existing risk factors. 4. Home care initiatives. 5. Telehealth 2.0 Remote Monitoring.

Pediatric use cases:

AccendoWave technology can be used to remotely monitor pain in pediatric patients at home. 

Users:

AccendoWave technology can be used to monitor and measure pain in adult and pediatric patients. 

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

Other

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Other

Hardware Compatibility:

Other

Client Types

None provided

Awards

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Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

1) Traditional monitoring devices- usually used as a bedside monitor. They are expensive, big, and cumbersome solutions that require wiring the patients to different devices to get all parameters. Our solution is small and convenient for patient use as well as to command and extract data by the medical staff from our platform.

2) Medical grade wearables devices companies- collect up to 5-6 parameters, for more vital signs and data they require to connect the external devices for measuring. Our devices have the capabilities to extract up to 13 medically-grade parameters from a single device which is also medically regulated.

Differentiators vs EHR Functionality:

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.

Differentiators vs Competitors:

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

Keywords

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Videos

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Downloads

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Biobeat - Comparing blood pressure measurements between Cuff-based device and PPG-based device - Scientific Reports.pdf
A look inside SCAN’s new Togetherness Program | Health Evolution

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Company Details

Founded in 2016

Founded in 2012

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