Health CIBYL: Health Scores For Insurance

Increase your underwriting efficiency with subject data

It considers the past, present, and future health of the subject and determines the underwriting exposure of insurance companies.

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Product Benefits

A vector image showing the benefits of HealthCIBYL.

De-risk your Life & Health underwriting with Health CIBYL, generated real-time

Tailor insurance premium using real-time data/health insights

Increase your bottom line with more efficient, accurate and bias-free policy issuance

Reduce claims by helping your customers manage health risks through prediction and prevention

Cross-sell and up-sell insurance products through data insight

Product Details

Health CIBYL (Continuous Improvement & Betterment of Your Lifestyle) is an AI-driven system for automating underwriting in life and health insurance

Utilizes heuristic models to comprehensively assess an individual's health

Generates a Health CIBYL score on a scale from 0 (poor) to 1000 (excellent)

The score reflects the influence of current, past, and future health of the individual

Mirrors a doctor's / underwriter's decision-making process in evaluating individual policy decisions

Precision of the system improves with the availability of more health data

Future plans include integrating incidental parameters (indicated below) for a more holistic assessment

A vector image of a doctor discussing with a patient about the health score.

Three Pillars of Personal Health Data

Current Health
+ Past Health

Clinical Parameters

Personal Health Data

Current Med.Conditions

Past Med.Conditions

Future Health
(Predictive)

Risk of Future Diseases

Current Focus on

Diabetes

Hypertension

CVD (Heart attack & Stroke)

Incidentals

Accidents

Unplanned Hospitalizations

Demography & Location-Based Exposure

Hobbies

Social Media Scrubbing

Currently not incorporated in Health CIBYL model

Components of Health CIBYL

The process of generating the Health CIBYL involves the collection of the following data and then applying the HV Proprietary algorithms to develop the score:

Demographics

Vitals / Physicals

Clinical Health Data (Medical Examination Report (MER))

Personal Health Data (Proposal Form)

Health Afflictions (Actuarial data) Years Life Lost & Death Rate

Health data that we collect over time are not just a bunch of disconnected numbers anymore. It has subtle interconnections and insights which speak a story about the overall health of an individual.

We have set out on a journey to explain this story which will help individuals take actions to improve their Health CIBYL score and enhance insurability.

Process Flow

Insurers can provide data on CVS/Excel format or via API handshake

Extreme control and care in privacy and confidentiality of personal information

Health CIBYL can be fed directly into the underwriting logic for various possible flows of go/ no-go decisions

About Health Vectors and Health CIBYL

Pioneer in introducing Health CIBYL score to the world

10+ years to build our World Class Analytics Engine that analyzes all data

Working with Top insurance companies to bring Health CIBYL to market

Latest tech to protect any privacy & confidentiality issues

Removes personal bias and errors in underwriting decisions

Dramatically improves process efficiencies and time for underwriting decisions

Why are we Different?

Innovation flows through our veins. Authentic science is at the heart of it. The science behind the creation of our health analytics engine is precise, enriched by the experience of doctors along with vast pools of knowledge from the healthcare domain. Exclusively created by the experts at Health Vectors, our Health Analytics Engine efficiently simplifies complex health data, thereby making it easier for the end user to understand and take charge of their health.

Our Health Analytics Engine also has predictive elements that aids in the prediction and prevention of chronic diseases. Our engine has analyzed over a million cases and has been validated by over a hundred doctors globally.

0+

Parameters Analyzed
Simultaneously

0K+

Calculations per
Analysis

0K+

Decisions per
Analysis