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mdhub started as an AI clinical assistant — a scribe that gave clinicians their evenings back. It hasn't stopped there. Over the past year mdhub has grown into a full AI workforce for behavioral health, and three of the newest additions reach well beyond the note: into the numbers behind your practice, the gaps between visits, and the compliance of every chart.
Here's what's new in mdhub.
AI Analytics: Custom Reports on Almost Any Data Field
Running a behavioral health practice means living in your data — financials, clinician productivity, no-show rates, payer mix, intake conversion. Getting a straight answer has usually meant exporting spreadsheets and stitching them together by hand.
mdhub now includes AI-powered analytics. Build custom reports across essentially any data field in the platform — financial performance, aggregated clinical and operational metrics, and the day-to-day numbers that tell you whether the practice is growing or stalling. Start from ready-made reports, then spin up your own as new questions come up, without waiting on an analyst or a data export. Advanced analytics and reporting are included on the Clinic plan.
Laura: Your AI Care Coordinator Between Visits
In behavioral health, treatment works through continuity — and one of the biggest revenue leaks in a practice happens in the gaps between sessions. A patient forgets to book their next appointment, or quietly disengages, and no one notices until they're already gone. Every patient who slips away that way isn't just a missed session: it's recurring revenue lost and the cost of acquiring that patient written off. You invested to bring them in — keeping them engaged is how that investment pays back.
Laura is mdhub's AI Care Coordinator, built to close that gap and keep patients connected between visits, so fewer fall through the cracks. Working inside the patient portal chat, Laura can:
- Prompt patients to book their next appointment before they drop off
- Answer patient questions and send proactive check-ins
- Nudge medication and treatment-plan adherence
- Follow up after sessions and prompt patients to complete questionnaires
- Run on a schedule you set — every few days, or relative to an appointment (a reminder the day before, a check-in two days after)
You configure Laura once at the clinic level — name, persona, knowledge base, and which skills she uses (support, medications, treatment-plan follow-up, session follow-up) — then assign her to patients individually. Crucially, Laura is assistive, not autonomous: she communicates only through the portal, never edits charts or clinical records, and the clinician can step in, reassign, or message manually at any time. AI handles the follow-through; the clinician keeps the judgment.
Chart Audit: Catch Compliance Gaps Before They Cost You
Documentation in behavioral health isn't only clinical — it has to satisfy payers. A note missing medical-necessity language or a required element can mean a denied claim or a failed audit, and most practices only discover the problem after the money is already gone.
mdhub's Chart Audit reviews your clinical documentation automatically — against both payer requirements and your own custom audit rules, configured per template and per payer. It flags the gaps (missing elements, compliance risks, documentation that won't hold up) so your team can fix them proactively instead of reacting to denials. And because mdhub's scribe and Chart Audit live on the same platform, charts can be checked as they're written — not weeks later in a separate tool — closing the loop between documentation and compliance.
One Connected AI Workforce
What makes these more than a feature list is that they run on one platform, built only for behavioral health. Sarah answers the phone and books new patients. Emma turns each session into a complete, compliant, coded note. Laura keeps patients engaged between visits. Chart Audit protects the documentation. Eric handles billing. And Analytics shows you the whole picture. Acquire, document, retain, audit, bill — one connected workforce instead of five disconnected tools.
Clinics like Central Valley Family Therapy and Elite DNA Behavioral Health are already running several of these pieces together.
Get Started
These capabilities are rolling out across mdhub now. The fastest way to see how they fit your practice is a quick walkthrough — book a free demo and we'll map them to your workflow. Prefer to start hands-on? Create a free mdhub account and begin with the AI scribe.
Better operations. Elevated care.
Laura is mdhub's AI Care Coordinator — a conversational AI that works inside the patient portal chat to keep patients engaged between visits, which is where many practices quietly lose patients (and the revenue and acquisition cost that came with them). She prompts patients to book their next appointment, answers questions, sends proactive check-ins, nudges medication and treatment-plan adherence, and follows up after sessions, on a cadence you set. She's configured at the clinic level and assigned per patient, and she's assistive rather than autonomous: she communicates only through the portal, never edits clinical records, and the clinician can take over at any time.
mdhub's analytics let you build custom reports across essentially any data field in the platform — financial performance, aggregated clinical and operational metrics, no-shows, payer mix, and more. You can start from ready-made reports and create your own as questions come up, without exporting data or waiting on an analyst. Advanced analytics and reporting are included on the Clinic plan.
Chart Audit automatically reviews clinical documentation against payer requirements and your own custom audit rules, set up per template and per payer. It flags missing elements, compliance risks, and documentation that may not hold up to a payer audit, so your team can correct issues proactively rather than after a claim is denied. Because it lives on the same platform as the scribe, notes can be checked as they're written.
You can create a free mdhub account to start with the AI scribe, or book a demo to see the full AI workforce — Analytics, the AI Care Coordinator, and Chart Audit — mapped to your clinic's workflow. Several features, including advanced analytics, are part of the Clinic plan; a quick walkthrough is the best way to find the right fit for your practice.
