CloudMedx is a Clinical AI Computing platform that uses healthcare specific NLP and Machine learning to generate real-time clinical insights at all points of care to improve patient outcomes. The award winning technology is run by experts in machine learning, neuroscience, medicine, and data science and brings unprecedented scale and simplicity to the application of brain-inspired clinical algorithms to healthcare. CloudMedx utilizes evidence based algorithms and deep learning for making sense of a wide variety of structured and unstructured data that is stored in clinical workflows. Through its algorithms and technology clinical partners at all levels can derive meaningful and real-time insights from their data and intervene at critical junctures of patient care. Trusted by some of the best performing provider organizations in the country, CloudMedx are passionate about bringing a comprehensive and adaptive platform to healthcare.

CloudMedx is a Clinical AI Computing platform that uses healthcare specific NLP and Machine learning to generate real-time clinical insights at all points of care to improve patient outcomes. The award winning technology is run by experts in machine learning, neuroscience, medicine, and data science and brings unprecedented scale and simplicity to the application of brain-inspired clinical algorithms to healthcare. CloudMedx utilizes evidence based algorithms and deep learning for making sense of a wide variety of structured and unstructured data that is stored in clinical workflows. Through its algorithms and technology clinical partners at all levels can derive meaningful and real-time insights from their data and intervene at critical junctures of patient care. Trusted by some of the best performing provider organizations in the country, CloudMedx are passionate about bringing a comprehensive and adaptive platform to healthcare.

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