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"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."

Khalid Mahmood MD. President of Crescent Medical Center Lancaster

"For complex surgeries, there can be a huge variability in documentation and coding and this requires coders to have a great deal of knowledge of anatomy and regulations associated with a specific subspecialty. With CloudMedx, we are looking to automate parts of this process and improve communication between all stakeholders so that this process is streamlined and made efficient."

Richard Capra Chief Administrative Officer, UCSF Orthopedics Department

"As the healthcare industry transitions to value-based care and risk-based reimbursement models, provider and payer organizations are looking for solutions to help identify patients with chronic health conditions within their populations and actively manage their care. Our partnership with CloudMedx allows us to do that effectively."

John Bennett Chief of Business Development at Sutter Physician Services

"As an industry, we do not have a sufficiently sophisticated tool to predict certain things such as disease progression and resulting readmissions in hospitals. We are working with CloudMedx to use new guidelines and algorithms, using clinical data to determine these risks and predictors. CloudMedx has a fast, scalable platform that can allows us to do just that. We found CloudMedx to be very intuitive and useful."

Ashish Atreja MD, MPH, Chief Innovation and Engagement Officer, Mount Sinai

"We wanted to combine Patient Reported Outcomes, data from Electronic Medical Records and Sensor data that patients wear to see how patients were doing. For this we partnered with CloudMedx as they could handle large sets of data and give us a perspective on how patients were doing with very strong predictive analytics."

Stefano Bini M.D. Orthopaedic Surgeon, UCSF

As a heterogenous disease that varies from patient to patient, ALS poses numerous challenges to clinicians seeking better treatments...this leads to long delays in diagnosis because ALS can mimic other more common diseases. Additionally, the unpredictability in rate of progression makes treatment challenging. Our goal in working with Cloudmedx is to see if we can identify clinical features that will help us identify patients earlier and improve our ability to predict the course of their disease.

Shafeeq Ladha Director, Greg Fulton ALS and Neuromuscular Disorders Center

"Working with CloudMedx provides us with insights from data and augment workflows, treatment options, and planning (for liver cancer patients). Most of this work is currently done manually and adds to the administrative burden. Some of this heavy lifting may be done by a technology that can assist physicians. CloudMedx provides its AI-powered tools and services that are healthcare specific."

Bilal Hameed MD Hepatologist, UCSF