DEEPVESSEL FFR is a software medical device that uses deep learning technology to perform a non-invasive physiological functional assessment of the coronary arteries using coronary computed tomography angiography (CCTA). The software processes coronary CTA images semi-automatically, generates a three-dimensional model of the coronary artery tree, and estimates CT FFR values. DEEPVESSEL FFR is FDA-Cleared, CE-Marked, NMPA-Cleared, HSA-Certified.

Keya Medical is an international medical technology company developing deep learning-based medical devices for disease diagnosis and treatment. The company is committed to creating solutions that deliver clinical value at all stages in the patient care process, covering specialties including cardiology, neurology, pulmonology, pathology, and surgery. Keya Medical has four centers in Beijing, Shanghai, Shenzhen, and Seattle. 

The deep-learning-based CT FFR analysis DEEPVESSEL FFR is the company's flagship product. The AI CT FFR is FDA-cleared, CE-marked, and NMPA-approved. DEEPVESSEL FFR is a software medical device that uses deep learning technology to perform a non-invasive physiological functional assessment of the coronary arteries using coronary computed tomography angiography (CCTA). 

Patients placed in the wrong bed status with improper documentation results in massive revenue loss and patient dissatisfaction.

Physicians can’t keep up with constantly changing criteria needed to admit patients to the hospital, and hospitals spend tons of money and resources fixing bed status issues retrospectively.

AdmissionCare provides the admitting physician with automated admission criteria - such as MCG - integrated directly into the EHR workflow to help document medical necessity that increases payer reimbursements and reduce denials.

How does it work?

• Integrate into the clinician's EHR workflow
• Determine the most appropriate bed status for each patient at admission
• Synchronize payer criteria with the clinician's documentation
• Collect revenue for the care provided, while avoiding costly denials

EvidenceCare is a unique type of clinical decision support system (CDSS) with its EHR-integrated and content-agnostic platform that empowers better care decisions by improving clinical workflows.

Founded in response to the professional experience of emergency physician Dr. Brian Fengler, the platform provides clinicians with evidence-based insights and measurable outcomes that improve hospital margins.

Based in Nashville, Tennessee, EvidenceCare is a 2x honoree of the INC 5000 list of fastest growing companies, a 2x Fierce Healthcare Best Product winner, and one of Modern Healthcare's Best Places to Work in Healthcare.

Deep Learning

Accurate

Fast

Comprehensive

Flexible Payment Model

Accessible

Deep Learning

Accurate

Fast

Comprehensive

Flexible Payment Model

Accessible

EHR Integrated on the front end of the clinician workflow

EHR Integrated on the front end of the clinician workflow