A deliberate choice
No AI. On purpose.
OASIS accuracy is a compliance question, not a guessing game. MsJaneHH checks assessments with deterministic rules you can trace to CMS guidance — so a flag is something you can defend, not something you have to trust.
Deterministic, not generated
The same answers always produce the same flags, each tied to a specific CMS reference. Nothing is inferred, summarized, or invented — you can check the rule against the source.
Instant, not 24 hours
Outsourced human review typically means paying per file and waiting a day. Rules run in real time, so issues surface while the clinician is still in the assessment.
Your data stays put
No patient information is sent to any AI provider, because there is no AI provider. Clinical data stays within your agency's private instance.
Rules vs. AI, plainly
Rules-based (MsJaneHH)
- Every flag cites a CMS section and rule version
- Reproducible: same input, same output
- The clinician writes and confirms every answer
- No clinical data leaves your instance
AI-generated documentation
- Suggestions you have to trust and re-check
- Non-deterministic: output can vary
- Often requires sending notes to a model provider
- Harder to defend in an audit — "the model said so"
The same principle applies to the rev cycle module: appeal drafts are templated from matched denial codes and documented CMS rules — not AI-generated. Same denial code, same OASIS field, same appeal skeleton, every time.
Voice dictation, where offered, is only a way to type faster. It does not interpret, score, or fill in clinical answers — the clinician does that.