Better and Faster Patient Intake
ChekMe AI is a HIPAA-compliant platform developed in collaboration with healthcare providers that streamlines the patient intake process.
ChekMe AI
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01 Hands-off Patient Screening
ChekMe AI gathers information about a patient's conditions and symptoms in a personalized chat session to generate a comprehensive subjective evaluation that is shared with their healthcare provider.
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02 Zero-effort Triage
ChekMe AI estimates a severity index based on the patient evaluation that can be used for triage and appointment priority.
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03 Automated Documentation
ChekMe AI automatically summarizes the patient evaluation in the subjective section of the widely used SOAP Note format enabling faster and higher quality clinical documentation.
Services
Model Development
We develop and train machine learning models to provide specialized solutions for your enterprise use-cases.
Solution Integration
We deliver packaged AI systems that are easy to maintain, scale and integrate into your unique projects.
Strategy Consulting
We offer domain-specific technical, business and strategy expertise to cater to all of your AI technology needs.
Partners
WiFrost Inc. relies on Plare AI for base station channel assignment in its end-to-end fixed wireless solution. WiFrost's network planning tool uses a custom model that takes a base station's parameters as input and assigns it a near-optimal channel for wireless signal transmission enabling broadband internet access in remote and historically unconnected regions.
Walturn LLC collaborates with Plare AI to serve their customers interested in generative AI and machine learning applications. Walturn has a proven track record in the healthcare, education and automotive sectors, with a history of delivering several successful initiatives and projects.
Parwaz Engineering employs Plare AI technology on assmebly lines for electric fans. Anomaly detection models identify defects in the physical and electrical characteristics of the products during various stages in the manufacturing process to help improve quality control, reduce complaints and minimize return requests from customers.
