Ohio State University Wexner Medical Center selects SeamlessMD to safely resume elective surgery

Click here to read the press release.

Partnered with leading health systems to improve patient care

For Patients Waiting For Surgery

Automatically screen patients for their willingness to have surgery and COVID-19 risk factors (e.g. demographics, comorbidities, travel history). Surgeons can access reports on patient readiness and risk factors to determine which patients are the best candidates to have surgery sooner.

For Patients With A Surgery Date

Automatically screen patients for their willingness to have surgery and COVID-19 risk factors (e.g. demographics, comorbidities, travel history). Surgeons can access reports on patient readiness and risk factors to determine which patients are the best candidates to have surgery sooner.

How SeamlessMD Works

COVID-19 Screening
Send pre-operative surveillance surveys to build COVID-19 risk profiles for patients awaiting surgery.
Education
Provide patients with validated, consistent information about COVID-19. Ensure patients know what symptoms to look for, how to self-isolate, when to go (or not go) to the hospital, etc. while preparing for surgery.
Personalized Feedback
Automatically deliver personalized feedback based on each patient’s self-reported data to ensure each patient is optimized for potential surgery.
Risk-stratify Surgery Candidates
Monitor patient self-reported data and identify patients who are most safe for surgery.
Fast Deployment
Up and running in just days, not weeks.
Flexible Implementation
Use as a standalone solution or integrate with your EHR. SeamlessMD is integrated with Epic and Cerner at leading health systems.

Turnkey solution for COVD-19 Digital Pre-Op Screening & Surveillance

Implement the “Restart Surgery” solution in as little as 7 business days...

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Research: Saving $2300+ per patient – Optimizing an existing Colorectal ERAS program

"The mean LOS and SSI rates for those enrolled versus not enrolled in the phone application was 4.4 days versus 6.4 days (p = 0.006) and 3.4% versus 11.3% (p = 0.019), respectively. The mean total cost of patients enrolled was $11,560; total cost of those not enrolled was $13,946 (p = 0.024)."