AI platform – Mitigate risk & cost
Previously recommendations and decisions were made based on inputs largely derived from the judgements of individual case managers and clinical reviewers. These recommendations, not always accurate, did not derive the benefit of lessons from past recommendations and their ultimate outcomes. By leveraging ML we are able to both capture and scale the collective intelligence of past learning to improve future outcomes.
A scalable, secure cloud-based solution for coordinating care and containing the costs of multiple chronic conditions
AI application increases our scalability and substantially decreases the wait time on risk outputs
Creates a unified data bridge between patients, providers and payors
Easy-to-use application for web and mobile devices
AI algorithms deliver real-time outputs, allowing rapid, accurate decision-making
Improves workflow, lowering the time and costs associated with manual processing
OptMyCare’s highly experienced disease mitigation team actively interact with patients digitally and when needed by video conferencing based on different levels of disease progression risk with established algorithms to improve adherence to disease mitigation strategies including lifestyle modifications. OptMyCare adddresses multiple chronic conditions; an area of significant unmet need costing over $3Tn to the healthcare system as per CDC.
OptMycare uses claims data or developer an advanced practice interface with the patient’s EMR and enables OptMycare’s app onto patient personal device.
Through it’s proprietary risk stratification system OMC updates the necessary information from the patient as well as from the EMR and risk stratifies the patients based on their comorbid conditions.
Patient specific precision medicine protocols are uploaded as guides and reminders and user-friendly exercise on the patient’s personal device.
OMCs clinical team consistently engages with the patients and the provider and offers comprehensive disease management education.
Solving the problem of rising healthcare costs
Machine learnt outputs further enhance the predictive capability of the algorithms to analyze and optimize risk in large cohorts
Tightly coupled firewalls, SSL enabled, encrypted data security deployed in micro-services architecture
Proven technology stack deployed at several Fortune 500 Customers – Web (React JS, JAVA, MySQL), Mobile (nnnn), Analytics (ELT, Java, Python, Power BI)
A 2-4 week timeframe to process client datasets and deliver analytic results