The solutions run on a large enterprise grade platform built on an event based system utilizing messaging bus backbone. The business process and rules engines work in conjunction to filter and provide intelligence to the workflows. Recent versions use cutting edge machine learning models to engage consumers.
Therapy specific functional models to define and derive care engagement
Enterprise platform
HIPAA, HiTrust and NIST based secure and scalable platform
Self-learning Rules
Smart engagement and processing self learning rules.
Integration Connection
Headless engine
Not an island solution
Flow of data is essential
Flexible formats
Multiple connector types
RESEARCH & DEVELOPMENT
The researchers Behind Our Mission
The multi-disciplinary team of licensed physicians , pharmacists , statisticians and software engineers use behavioral engagement models to make self service and self help effective with an empathetic and personalized tone.
Kalsoom S.
A medical doctor that designs , collaborates and overseas the implementation of care therapies via technology. Passionate about using technology to improve patient engagement for higher care. Clinical Trials University of Chicago.
R&D is personal to us
A passionate research project of the team is the development of a Digital Assistant that can achieve an accuracy of 74% and higher in resolving service inquiries without requiring a phone call or a customer service rep intervention.
We are close to our benchmarks but need more data to feed the algorithm for higher results. The pursuit continues.
We are looking to further our partnerships with organizations involved in delivering services that are a multiple contacts/touch points for healthcare and wellness service delivery.