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AI Automation and Digital Solutions

Chart reviews with clinical judgment kept in human hands

The system reviews notes as they are completed and looks for documentation gaps, timing risks and eligibility signals that deserve attention.

24/7chart monitoring, every shift your team doesn't work
human sign off on every flag and draft
AI flags it. A HospiceMD reviewer confirms it.The AI never decides eligibility or care on its own

A faster review process without handing decisions to a model

The purpose is simple: help reviewers find the charts that need them most. The system reads continuously, raises specific concerns and preserves a clear audit trail. It does not determine eligibility, finalize documentation or make decisions about care.

A clear review process from chart connection to confirmed action

The system fits around the documentation your team already creates. It performs the first pass, then sends specific issues to a HospiceMD reviewer who confirms, dismisses or escalates them.

01 · Chart QA on Every Note

Earlier visibility into the notes most likely to create risk

Each completed note is checked against the documentation elements a hospice reviewer would normally look for. The system identifies possible gaps and patterns, then routes them to a clinician for confirmation before any action is recommended.

Decline support that may be too thin, inconsistent or missing from the narrative.
Required elements that have not been completed before the chart moves downstream.
Copy and paste patterns that may weaken the credibility of the record.
Confirmed findings sent to the appropriate reviewer with the chart context attached.
See the chart review workflow
Note flagged, decline not documentedQueued for reviewer
Flagged
NOE window, day 4Alert sent to your team
Alert
Eligibility signalReviewer confirms
Confirmed
NOE clock. 5 day windowTwo days left · reviewer notified
Alert
F2F encounter, recert dueTiming gap flagged for review
Flagged
ADR risk score. LCD mismatchReviewer confirms & prioritizes
Scored
02 · Eligibility and Window Alerts

Critical timing and eligibility signals surfaced before the window closes

The system keeps the relevant dates, chart signals and documentation requirements visible throughout the episode. When something appears inconsistent or time sensitive, a reviewer receives the chart context and decides whether intervention is needed.

NOE, face to face and recertification dates tracked against the record.
LCD related signals surfaced when the documentation may not support the stated prognosis.
Higher risk charts prioritized so reviewers can start where exposure is greatest.
Every eligibility related finding reviewed and signed off by a qualified human.
Review the compliance workflow
03 · Draft Narratives with Human Review

A useful first draft that never bypasses clinical review

When appropriate, the system can prepare a decline focused narrative starter from the documented visit. A HospiceMD reviewer then checks it against the chart, corrects the language and decides whether it is ready for use. Nothing is placed into the record without human approval.

A structured starting point based on the visit documentation already available.
Every word reviewed against the chart before sign off.
Draft status preserved until a human deliberately approves the content.
Full history showing what was generated, what changed and who approved it.
Book an AI workflow review
Narrative starter. SN visitAI draft ready for reviewer
Draft
Reviewer edit. HospiceMDVerified against the record
Signed off
Auto file to chartBlocked until a human commits
Held
AI Automation and Digital Solutions

See how review workflow would fit your charts

We will walk through the connection, first pass review, clinician confirmation and audit trail using the documentation patterns your agency already manages. You will see exactly what the system can do and where the human reviewer remains in control.

Safeguards built into every review

Clinical automation is only useful when the boundaries are clear. Human approval, auditability and data protection are part of the workflow from the beginning.

Human approval on every finding

No flag, draft or eligibility related conclusion is treated as final until a HospiceMD reviewer confirms it.

A complete audit history

The record shows what the system surfaced, what the reviewer decided, what changed and when the action occurred.

HIPAA compliant operations

Each engagement operates under a signed Business Associate Agreement with access limited to the approved workflow.

Patient data kept out of model training

Agency data remains within the engagement and is not used to train public or shared models.

Estimate the review time a first pass could return to your team

Enter the number of charts reviewed each week, the average time spent on manual first pass QA and the reviewer cost. The estimate shows how much time may be redirected toward confirmed risks, coaching and deeper clinical review.

120
8 min
$45
Estimated reviewer hours redirected
≈ 10 hrs

redirected each week toward confirmed risks and deeper clinical review, about $22,464 a year in reviewer time.

Illustrative estimate only. Actual time savings depend on chart complexity, workflow design, review standards and the proportion of findings requiring human follow up.

What agencies must know before using AI in chart reviews

Healthy skepticism is appropriate when technology touches clinical documentation. These answers explain where the system helps, where the human reviewer remains responsible and how the work is recorded.

Does the system make eligibility or care decisions?
No. It can surface a timing issue, a documentation gap or a possible eligibility signal. A qualified reviewer examines the chart and decides whether the concern is valid. The system never determines whether a patient is eligible or what care should be provided.
Will it place notes into the chart automatically?
No. Drafts remain drafts until a human reviews and approves them. Auto filing is not part of the workflow.
Is patient information protected?
Yes. The engagement operates under a signed BAA, access is limited to the approved workflow and agency data is not used to train public or shared models.
Will staff be overwhelmed with false alerts?
The system performs the first pass, but alerts are not sent directly to the broader team without review. A HospiceMD reviewer confirms, dismisses and prioritizes findings before they become work for your staff.
Does this replace our QA team?
No. It helps the QA team review more effectively by reducing time spent searching every chart for possible issues. Human reviewers remain responsible for judgment, coaching and final decisions.
How can we prove a person reviewed the finding?
Each action is logged. The audit trail records the original flag, the reviewer, the decision, any edits and the time of sign off.

The impact of prioritizing chart reviews

★★★★★
The system does not make the decision for us, which was my biggest concern. It helps us find the chart, then our reviewer looks at the full context and signs off.
Compliance DirectorMid sized hospice
★★★★★
Our team spends less time reading routine notes and more time on the records that actually need judgment. The workflow feels more focused without lowering the standard.
QA ManagerMulti branch agency
★★★★★
We caught a closing window early enough to address it. The alert was useful because it came with the chart context and still required a clinician to decide what happened next.
AdministratorGrowing hospice
Human confirmation on every finding and draft
Faster first pass chart review
More reviewer time spent on higher risk records