THE STORY

Workflow that makes sense

For 20 years, medaptus has applied information technology to solve problems that are common and costly to healthcare organizations. Revenue leakage, data silos, disparate systems, redundant processes – these administrative challenges are a drag on productivity and satisfaction. Our reason for being? Replace barriers with safe passage.

Driving Continuity, Balancing Workloads, Enhancing Safety

Assign for Patient Distribution

The medaptus Assign platform automates a lot of the complexity involved with hospital medicine operations. Shift-based provider schedules, unique workload thresholds, admits at 11:50 PM at night… there are a lot of moving parts. The power of Assign is in making the parts work effortlessly together to create better, smarter workflows.

Better Revenue Capture, Automated Compliance and  Improved Administrative Productivity

Charge Pro & Charge Infusion

Reimbursement underlies every single hospital and medical practice’s financial picture – specifically, getting paid in an accurate, timely for services rendered. Despite pervasive technology, best intentions, and human resources, errors in coding or charge capture remain easy to make. We understand that every dollar (literally) counts and we will help you get it – with less overhead.

medaptus customers routinely enjoy

Increased Revenue

removes guesswork from coding and billing operations

Actionable Insights

making transactional charge data meaningful

Better Productivity

more time to focus on higher priority initiatives

Easier Collaboration

fosters team communication

Best in KLAS Awards

Top Customer Service Excellence in last 11 out of 12 years

Hundreds of hospitals and thousands of providers trust medaptus

Are you ready to take the next step?

Contact Us

Recent News

October 21, 2021

Balancing Continuity and Geography in Physician Assignments

October 14, 2021

Measures of Continuity

October 7, 2021

E/M Distribution

September 29, 2021

How to fill mid revenue cycle gaps in your EHR – Part 4: Implementing the Optimal Environment