FINANCE AND REVENUE CYCLE
Improve billing and HCC code accuracy
Rely on properly coded billing data, reduce inefficient processes, and optimize reimbursement
How we help
Enhance documentation accuracy and specificity for compliance with ICD-10-CM and CPT® billing regulations
Simplify clinician documentation by automating the mapping to correct medical billing codes, including secondary and specific codes like HCCs
Reduce efforts to track details and clean data by employing effective tools for data extraction, enrichment, and standardization
Achieve higher ROI when you have cleaner, usable patient data.
Get a new perspective on patient data with 99.99% of problems organized into intuitive clinical categories on the problem list
Promote problem list cleanliness by removing diagnoses generated as outdated, duplicative, and related. One case study from a large academic center saw a 163% increase in problem list cleanup activities
Ensure that relevant patient data from across the patient record – including unstructured clinical notes – is visible in the chart
Explore the IMO portfolio of solutions
IMO solutions capture precise clinical data at the point of care and standardize it across settings and sources to power more informed decisions.
POINT OF CARE WORKFLOW
DATA QUALITY MANAGEMENT
IMO Core and IMO Discovery for Problems
IMO Core Periop
IMO Precision Normalize
Ready for more reliable data and insights? Let's talk.
Latest Ideas
How clinical documentation impacts revenue cycle management
Clinical documentation is key to capturing a patient’s condition, but do you know just how much it can impact an organization’s reimbursement?
Making bank or bankrolling waste: Why surgical schedulers need healthy dictionaries
Documenting with specificity is key to successful surgical scheduling. Read on for a closer look at the role of precise terminology in an efficient OR.
The importance of data harmonization for health systems
In our latest eBook, we explore the hazards of incomplete and inconsistent data for health systems and how healthcare data normalization can help.