Consumer Decision Support AI
AI assisted decision making for identification of patient specific care plans
Challenge
Availability of coordinated care plans
Reducing total cost of care is a major challenge faced by providers and payers. One big piece of overall cost is administrative waste — estimated at $200 billion a year in the U.S
- Payers run the risk of claims overpayment
- Providers run the risk of claims denial and delay in reimbursements
- Patients suffer due to lack of transparency and mismatch between procedures prescribed by providers and covered by payers
There is a need for technology driven, transparent and accountable decision making systems for enabling coordinated care.
Solution
Zasti’s Consumer Decision Support AI
Zasti has built deep neural network powered models that help providers and payers in suggesting suitable health plans for the patient. The model predicts the total cost a patient will incur in the upcoming years and likelihood of getting admitted using the following patient specific data
Claim History
Demographic Information
Socio economic status
For a given Patient Profile the model is equipped to estimate
How much the patient will cost the payers for the course for next 1 to 3 years
Top procedures the patient may undergo for the course for next 1 to 3 years
Patient’s total carbon emissions for the course for next 1 to 3 years
Average carbon offset the patient/payers/provider needs to purchase for the course for next 1 to 3 years
Advantages
Decision Making
Payers and Providers can take data driven informed decisions to suggest suitable healthcare plans to their customers
Improved Customer Satisfaction
Patients may enjoy fewer delays in care and more transparency about coverage and financial responsibility
Collaboration
Providers and payers can collaborate to achieve common goals
Carbon Offset Estimation
Stakeholders have the visibility on carbon emissions generated and estimated offsets required to be carbon neutral
Climate Tech AI Solutions
Carbon Calculators
Zasti uses AI for the Co2 emissions calculator to identify the carbon footprint of the client adhering to EPA, IPCC, GHG Protocol methodologies, and more
Predictive Maintenance of Boilers
Facility management for client’s (hospitals) which had trouble meeting the required response times and over consumption of energy, causing large penalties
Energy Management using AI
Creating a comprehensive energy portfolio, including bulk supply; renewables (on-site and off-site); environmental attributes; demand and supply management; and carbon reduction programs is complicated
Predictive Maintenance and Facility Management
Utilize AI to improve efficiency for facility management: This reduces the response time for impending breakdowns and also minimizes penalties for over consumption of energy
Smart Meters
AI for understanding water/energy consumption needs, nature (domestic, public, commercial, and industrial use) of water/energy demand and water usage patterns
AI for Energy Forecasting
Inaccurate forecasts of annual energy demand results in wastage of energy, supply and demand mismatch, downtime due to unplanned power outages, and overall disruption of a facility
