Medical Coding

Rapid Care offers AI-powered auto coding services for analyzing clinical documentation and automatically suggesting the most appropriate codes based on the information in the medical record. Our NLP program helps extract relevant information from unstructured text (e.g., physician’s notes, lab reports) and translate it into accurate codes. Hospitals will gain the following major benefits:

  • Improvement in working capital.
  • Reduce days to code for in scope case mix to almost zero.
  • Reduce coding on hold reasons.
  • Improve days to invoice and days to cash receipt.
  • Increase average revenue per patient and decrease average cost per patient.
  • Business case and benefit modelling (P50) indicates an indicative ROI of >4x.

Our Machine learning algorithms can detect coding errors, discrepancies, and inconsistencies, alerting coders to potential mistakes before submitting claims.

iCS & aCS - Auto Coding Suite

The iCS Product Suite offers Coder Education, Clinical Documentation Query digitisation with quicker response times as well as a very powerful live auditing and retrospective toolset.

  • The Auto-Companion Suite (aCS) is utilising the latest in multi-modal AI to return even more time and money back to care.
  • Built from the ground up to tackle bespoke problems commonly faced across the industry to fill the immediate gaps whilst leveraging existing source systems like PAS, EMR and DMR.
  • Built on American (ICD-10CM & CPT) & Australian Coding Standards (ICD-10AM, ACHI, AR-DRG) – we are one of only a handful of licenced and certified IHACPA software developer and Grouper developers.

Clinical Coding and Grouping AI Tool (aCS)

aCS leverages the latest in Multi-Modal Artificial Intelligence to optimise revenue cycle management by automating the coding process in line with Australia & American healthcare coding and billing standards. This tool will automate ~55 to 60% of the separation volume and ensure revenue is fully optimised and assured at the point of coding.

Time back to care

As a large portion of the simple volume will be highly automated, this will free staff up to focus on coding & auditing the most complex cases like cardiac, neuro, etc or to be freed up to focus on more value adding project work, etc

AI-Assisted Coding

Automates the identification of medical codes from clinical documentation

Automatic Coding

Worklist style UI to optimise the time of HIMs and Clinical Coders. Human in the loop design, with a traffic light worklist system.

Grouping Engine

Automatically classifies patients into diagnostic-related groups (DRGs) for funding and revenue purposes.

iCS & aCS can validate codes in real-time by checking them against payer rules, insurance requirements, and coding guidelines. Now ensure that the codes are accurate, compliant, and supported by clinical documentation.