The Vybz Health blog
Practical writing for primary care and behavioral health practices, covering care between visits, AI front desks, intake, patient engagement, insurance, and the day-to-day work of keeping patients in care. New posts regularly.
Guide
13 min read
A fractional CTO gives a practice senior technical judgment for a few hours a week. A forward deployed engineer builds and connects the systems the practice already owns. Here is what each one is, what each one costs, where the fractional CTO model breaks down for a clinic, and how to decide which help your practice actually needs.
Comparison
19 min read
ChatGPT for healthcare, Claude for healthcare, and the new personal agents from Meta, OpenAI and xAI can all connect to the same inbox, calendar and spreadsheets Luna can. The difference is where the work happens. Luna works from inside your EHR, which is the one place every practice task ends and the hardest place for an AI agent to get into.
Checklist
15 min read
Starting a private practice means clearing a fixed list of legal, insurance and operational requirements before the first patient walks in. This checklist covers all ten, with the official source for each one, and then explains why the last item on a modern list is an AI employee who keeps the administrative work moving once the doors are open.
Buyer's guide
10 min read
Most healthcare AI agents cost the same on day three hundred as on day one, because they forget everything between tasks. Here is what changes when an agent learns your practice, why routine work gets faster and cheaper over the first months, and the questions to ask any vendor before you buy.
Explainer
14 min read
A forward deployed engineer is a software engineer who works inside a customer's operation instead of behind a product roadmap. Here is what the role means, how it differs from a software engineer, a fractional CTO or an agency, what it costs, and why it fits the way primary care and behavioral health clinics actually buy technical help.
Use case
11 min read
A Zocdoc booking or a Psychology Today inquiry starts roughly forty minutes of retyping, benefits checking, and follow-up that nobody planned for. Here is where that time goes, why the tools never hand the work to each other, and how Luna takes the whole intake on the moment it lands and leaves your clinicians a short note to review.
Guide
14 min read
An EHR migration takes most practices three to four months and costs thousands of dollars, and the hardest part is the data that has to arrive intact. Here is where switching EHR systems goes wrong, and how you can pick your two systems, hand the move to Luna, and get every record migrated and checked.
Deep dive
13 min read
An eligibility check now takes seconds, but the payer's answer is still written for billing software. Here is how an agent decides when a check is worth running, reads what the plan actually said, and explains a deductible or a copay in words anyone can use, in the middle of a call, a chat, or an email.
Point of view
13 min read
AI receptionists are the fastest-growing pitch in practice software, and most clinics that buy one discover the same thing within a month. The call gets answered, and every task the call creates still lands on staff. Here is the case for hiring an AI employee that works across your EHR, inbox, calendar, and spreadsheets instead of adding one more tool to the pile.
Guide
13 min read
Most therapy inquiries do not end with a no. They end with a practice saying "let me check on that and get back to you," and a client who booked somewhere else before the answer came. Here is why the eligibility and copay question decides so many bookings, and how answering it in seconds, on the call or in the email reply, changes what converts.
Deep dive
12 min read
Luna is an AI co-worker for clinical operations at psychiatric and behavioral health clinics. She works inside Gmail, Slack, Google Sheets, and your EHR, keeps your intake and follow-ups moving, feeds your ad campaigns real conversion data, and hands you a written report of her day every evening.
Comparison
13 min read
Most patient engagement software was built for a dental office or a marketing team, then pointed at a therapy practice. Here is how tools like ActiveCampaign and JustCall actually behave in a behavioral health front office, where Vybz Health is different, and why you can run it alongside your current stack instead of migrating everything at once.
Playbook
20 min read
A step-by-step setup guide for a personalized, self-learning AI receptionist at a behavioral health practice. Name and personality, caller-adaptive tone, guardrails, escalation routing, practice memory, follow-ups, and check-ins, with the specific choices that decide whether the agent actually performs.
Comparison
14 min read
Dozens of voice receptionists can answer a phone, but almost none understand a mental health front desk. Here is what "purpose-built for behavioral health" actually means, how our forward-deployed team sets it up for you, and why a generic bot from a horizontal platform keeps failing the calls that matter most.
Under the hood
11 min read
Most AI agents forget everything the moment a call ends. Luna, our AI practice manager for primary care and behavioral health practices, keeps two kinds of memory, learns from every task, and lets your team read and correct what she knows. Here is how that memory is structured, why it stays confidential per practice, and how the self-learning loop works.
Survey
9 min read
We surveyed 50 people who are in therapy or searching for a therapist and asked one question. Would you trust an AI to complete your scheduling and intake? The yes was stronger than most practice owners expect, and the reasons behind it explain where the behavioral health front office is heading.
Guide
9 min read
An AI front desk is only as accurate as the instructions behind it. A generic receptionist bot will fumble the nuances of your practice, while a behavioral health agent built on your clinic's real workflow rarely needs a human to step in. Here is what separates the two.