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Behavioral-AI adding a human touch to healthcare.

Making a difference in people’s lives.

ABOUT US

Well-Beat provides a comprehensive patient-engagement platform that combines Machine Learning algorithms with Behavioral Science to support healthcare organizations.

 

The modular SaaS patient engagement solution creates tailored interactions to empower professional teams, and the patients themselves, providing enhanced care, relationship, and treatment outcomes right from the first touchpoint.

 

Well-Beat integrates with any existing solution in

a simple and quick manner.

 

ELIMINATING NUDGE FATIGUE

Ever wonder why the same communication results in one patient adhering to the treatment plan and achieving great outcomes, while another patient completely ignoring you and getting readmitted? 

 

If so many chronic patients with chronic conditions understand the seriousness of their disease, why don’t they follow the doctor’s instructions? 
Why don’t they respond to the messages sent?

VALUE PROPOSITION

Proactive

Engagement of the population to take control of their own wellness regime, by ongoing learning & adjustment of the personalized approach.

Provide

Efficient & effective decision-making tools to optimize population wellness plan.

Improve

Compliance by behavioral insights that reduce healthcare costs.

 
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WELL-BEAT DRIVES HEALTHCARE PROVIDERS & PAYERS REVENUES

Revenue Increase

Higher patient recruitment & retention

Higher reimbursements to providers

Increased additional services participation

Patient Experience

Improved loyalty & satisfaction

Additional service utilization

Increased market share

Improved Services

Service differentiation

Enhanced management capabilities

Increased preventative care

Higher patient loyalty

Lower caregiver’s work overload

HOW THE WELL-BEAT HYBRID PROCESS WORKS

Step 1
Initial Digital
Questionnaire
Step 2
Providers get behavioral dashboard
Step 3
Feedback:
Providers, patients, loT
Step 4
Personalized SMS address hidden obstacles
Step 5
Risk mitigation via red flag
Step 6
Ongoing adaptive personalized interaction loop
 

TESTED & PROVEN

Well-Beat is proven in real-life clinical setting

Adherence tripled from 25% to 75% compared to 2017-8

650 inputs recorded by 16 providers

87% patient engagement

Powerful Risk Analysis tool for the management

80% Accuracy - Prediction of adherence (at 3 months time frame)

90% Accuracy - Prediction of adaptable behavior change (at 5 months time frame)

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OUR PARTNERS TESTIFY

"I really like Well-Beat’s product, because it's addressing a really important need for aging population across America, which is loneliness, and the ability to connect, and experience social interaction with their peers.

Well-Bet product has the potential to do something huge".

 

—  Jon Terenzetti

VP Data & Tech Transformation, Carecentrix 

MEET THE TEAM

Behind the model, providing a 360° holistic view of data driven & human behavior

The Well-Beat team is made up of seasoned experts in behavioral insights and influence on behavior, software design & technology and business development. Our combined expertise, experience and knowhow is what create a unique approach and drives our mission forward – to fundamentally improve chronic patient wellness regimes and build the Well-Beat brand on a global scale.

Advisory Board

Prof. Dan Zakay

IDC Herzliya, Israel

Prof. On Amir

UC San Diego, USA

Dr. Michal Gilon

Schneider Hosp. Israel

Gili Tamir

IDC Herzliya, Israel

Dr. Jackie Assa

Data Scientist, Israel

Sydney Ulreich M.D

Data Scientist, Israel

 

Ravit Ram Bar-Dea

CEO, Founder

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David Voschina

VP R&D, Founder 

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Keren Aharon

CSO, Founder

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IN THE MEDIA

 

ACHIEVEMENTS

365
IBM
Ministry of Health
Meuhedet
Novolog Health Care Group
Sheba Medical Center
Digital Health
Cimed
she-loves-tech
NTT Data - Trusted Global Innovator
Deloitte
Upward Labs
365
IBM
Ministry of Health
Meuhedet
Novolog Health Care Group
Sheba Medical Center
Digital Health
Cimed
she-loves-tech
NTT Data - Trusted Global Innovator
Deloitte
Upward Labs
 

CONTACT US

Let's talk!

We’d love to set up a one-on-one meeting.

 

[email protected]
Tel: +972-52-3566424

Download our press release:

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