The library
Every solution below runs on the same intelligence layer. Start with whichever one your team needs first.
Risk Adjustment
Missing HCC codes and thin documentation erode RAF accuracy long after a claim is filed. DoctusTech's AI agents pull evidence directly from claims, charts, and scanned records, rank it by RAF value and recency, and surface Medicare Advantage and Medicaid risk adjustment opportunities before submission, so coding and revenue integrity move together instead of being reconciled after the fact.
Compliance and Audit Readiness
RADV standards are typically applied after submission, against a hand-reviewed sample. The agent holds every note to those standards before the claim goes out, then follows it through to payer acceptance and flags any leakage.
HEDIS & Quality Improvement
An open HEDIS gap is one of two things: evidence that already exists, scattered across charts, faxes, and specialist records, or care that has not happened yet. The HEDIS Agent chart chases, abstracts, and builds the payer-specific supplemental for the first. For the second, it engages the patient directly and gets the visit scheduled.
Population Health Analytics
Ask in plain language: specialty leakage last quarter, hospital utilization by facility, medication cost across an attributed panel. KIP already knows what those terms mean in value-based care, so the answer that comes back is the one a trained analyst would have given you. No ticket, no queue.
Clinician Education
Documentation patterns vary by clinician. The agent identifies whose notes show it, assigns education and measures whether the pattern changes.
Tell us where your team is losing the most time, and we'll show you where to start.
HIPAA-eligible architecture. SOC2 Type II certified.