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Crescent Medical Center Selects CloudMedx's Coding Analyzer in Order to Automate the Clinical Documentation Process
[August 08, 2018]

Crescent Medical Center Selects CloudMedx's Coding Analyzer in Order to Automate the Clinical Documentation Process


PALO ALTO, Calif., Aug. 08, 2018 (GLOBE NEWSWIRE) -- CloudMedx, a healthcare AI company that provides real time and actionable insights to the healthcare industry announced today that Crescent Medical Center, a surgical hospital facility in Lancaster, Texas has selected CloudMedx to automate the clinical documentation process as part of its Clinical Documentation Improvement (CDI). CloudMedx released its Coding Analyzer tool earlier this year as part of its Clinical AI Platform. For health systems and provider groups, this tool allows them to automate and streamline their clinical documentation process with the goal to free physicians and staff to to do more important tasks like improving care for their patients.

Dr. Khalid Mahmood, President of Crescent Medical Center Lancaster, stated that “Clinical documentation in surgical specialties is a diverse and difficult area. It requires a lot of manual interventions and is heavily workflow oriented. With our work with CloudMedx, we are looking to automate this process and reduce the manual entry burden and communication between billers, coders and physicians so that this process is streamlined and made efficient, with low documentation errors and queries. It offersus two opportunities, one to ensure that our documentation is streamlined, and two to ensure that care delivery is improved and made efficient instead of introducing more workflow and burden to our doctors. The last thing we want is to introduce another system that adds clicks and burden on the care providers. CloudMedx gives us the opportunity to reduce this burden while at the same time, showing us opportunities to improve our workflows, and staff happiness.”



With augmentative tools such as CloudMedx, the goal is to automate the documentation process for thousands of charts to be processed in a very short amount of time. This has huge potential to not only improve the clinical documentation experience but also improve clinical outcomes and quality metrics.

The CloudMedx tools integrate into existing health systems IT infrastructure to allow health systems and documentation experts to leverage the structured and unstructured data trapped in their EMRs and workflows, in order to automate the clinical documentation process for both surgical and non-surgical practice at the hospital. In addition, the AI tools allows care providers to risk stratify patients based on their risk for readmissions, comorbidities, and other triggers for more timely follow ups, better management of care plans and care pathways. The goal of CloudMedx and Crescent is to improve care delivery, reduce costs, and optimize workflows.


CloudMedx aims to reduce physician fatigue, and improve processes so that operational efficiencies may be achieved. We live in the 21st century but many aspects of the medical industry have not caught up with the latest trends in technology. The way patient encounters are documented/captured is still rife with issues. CloudMedx aims to automate that entire process so that physicians and care providers are freed up to do what they signed up to do, which is to improve care delivery and wellbeing of their patients.

About Crescent Medical Center Lancaster
Crescent Medical Center Lancaster is an 84 bed Acute Care hospital located in Lancaster, Texas – just 14 miles south of Dallas. The hospital accepts Medicare, Medicaid, most private insurances, workers compensation, and self-pay patients for a number of medical procedures and outpatient services.

For more information on the facility, you can visit their website at http://www.cmclancaster.com

About CloudMedx Inc

CloudMedx is an award winning "Clinical AI Platform" that provides real time clinical insights to the healthcare industry with the goal of improving clinical workflows, documentation, and operational outcomes. The company uses evidence-based algorithms, machine learning and natural language processing to sift through both structured and unstructured data sources within EMRs, hospital workflows, and health IT systems. CloudMedx has been working with some of the best health systems in the country and has the ability to integrate with existing systems without disrupting workflows.

For more information, please visit www.cloudmedxhealth.com


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