Gesund.ai provides CRO services for medical AI models, streamlining their clinical validation. Gesund.ai orchestrates the AI as-a-Medical Device lifecycle, bringing the AI algorithms to the diverse yet standardized medical data sources in a privacy-centered fashion. The unique analytical toolbox generates real-world evidence and fosters clinical validation, regulatory clearance and post-market surveillance.

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.

EHR Integrated on the front end of the clinician workflow

EHR Integrated on the front end of the clinician workflow