Chart prep, documentation, and coding validation eat hours every week. Kip connects the clinical context so AI Labor can search, rank, and surface evidence, freeing your chart preppers, providers, and coders to focus on the decisions only they can make.
What Kip finds
Every item arrives as a piece of work with its evidence attached, ready to accept, reject or edit.
WorklistOpen gaps · 2 of 14
Chronic heart failureI50.32
EvidencePrior-year HCC history
Diabetes with complicationE11.22
WorklistSuspects · by evidence type
Morbid obesityDocumented value
EvidenceDocumented values in the record
Vascular diseasePrior claim
WorklistRelated · no RAF impact
Diabetic retinopathy screeningClinical flag
EvidenceDiabetes on the problem list, no eye exam on file
WorklistProblem list · 1 open
Major depressive disorderF33.1
EvidenceThe note the condition was mentioned in
Inside the workflow
Every item Kip surfaces is one of four kinds, and each carries its own evidence.
Your team accepts, rejects, or edits every one. Nothing submits to the chart without a human decision.
See Risk Adjustment in ActionHow DoctusTech solves Risk Adjustment
Kip pulls the relevant history together. AI Labor puts it in front of the right person at the right step.
Kip ranks HCC gaps by RAF value and last-coded date, and surfaces evidence buried in old notes.
Chart preparers: review, prioritize, decide.
Chart prep queueRanked by RAF
Relevant history and documentation opportunities show up inside the encounter, in the EHR your providers already use. DoctusTech connects to 70+ EMR systems, so this isn't a new tool to adopt.
Providers: review, document, decide.
Assessment & planKip
Every surfaced HCC carries its supporting evidence, so validation isn't a search.
Coders & compliance: review, code, validate.
ValidationEvidence attached
See how Kip increases capacity and moves your team from clinical information to validated, audit-ready work.
Risk Adjustment accounts for differences in patient health status and expected healthcare needs. In Medicare Advantage, documented diagnoses and other patient information contribute to the risk scores used to estimate expected costs, which is why clinical documentation and coding accuracy matter.
Medicare Advantage plans submit member demographic and diagnosis data to CMS, which calculates a risk score for each member. Conditions must be documented and coded each year to be counted, so recapture of chronic conditions is an annual workflow, not a one-time task.
Hierarchical Condition Categories group clinically related diagnoses within applicable Risk Adjustment models. A Risk Adjustment Factor score represents a patient's expected cost relative to a benchmark population, based on documented conditions and other applicable factors.
HCC coding translates documented conditions into the diagnosis codes used by applicable Risk Adjustment models. Each coded condition needs supporting clinical documentation, which is why coding and documentation are reviewed together rather than in sequence.
AI can rank gaps by value and recency, surface evidence buried in prior notes, and attach that evidence to each item it raises. That removes searching from chart prep, documentation and validation. The clinical and coding decisions stay with the team.
Kip builds a longitudinal patient picture from the EHR, claims, HIE and other connected sources, then coordinates AI Labor across chart preparation, point-of-care documentation, HCC coding and validation. Every surfaced item carries its supporting evidence and every one is accepted, rejected or edited by a person.