How AsyncHealth Fits Every U.S. Reimbursement Model
Peter Yellowlees MD
March 2026
Image from Depositphotos
AsyncHealth: Unlocking Scalable Capacity in Mental Health Care With Asynchronous AI
One of the most persistent myths in healthcare innovation is that new care models such as asynchronous care require new reimbursement codes. In reality, the opposite is true. The most successful platforms fit cleanly into existing payment structures while improving efficiency, access, and financial performance. AsyncHealth was built with this principle in mind.
Rather than replacing clinician work or redefining billable services, AsyncHealth’s Async platform removes the most time‑consuming and least scalable parts of care delivery—intake interviewing, structured data collection, and documentation—so clinicians can focus on diagnosis, decision‑making, and treatment. As a result, Async works across virtually every reimbursement model currently used in the United States.
Fee‑for‑Service and CPT‑Based Care
In traditional fee‑for‑service environments—psychiatry, primary care, and specialty clinics—Async supports standard Evaluation & Management (E/M) billing. The platform gathers medically appropriate histories, symptom scales, and risk assessments asynchronously, producing clinician‑ready documentation that is reviewed and validated by the treating provider.
The result is a documented ~50% reduction in intake and documentation time and the ability for clinicians to see more patients without extending work hours. In fee‑for‑service settings, time savings translate directly into additional revenue—often up to tens of thousands of dollars per clinician per year—without changing how services are billed.
Medicare and Behavioral Health Integration
Medicare already allows patient histories to be collected electronically as part of E/M services, and it supports team‑based and consultative care models. Async fits naturally into this framework by shifting data collection out of the visit while preserving clinician oversight and medical decision‑making.
For practices participating in behavioral health integration or Collaborative Care (CoCM), Async enables psychiatrists to review comprehensive, standardized patient data and provide consultative input without live patient encounters. This allows a single psychiatrist to support larger patient panels, improving both access and margins under monthly bundled payments.
Medicaid, Community Mental Health, and FQHCs
In Medicaid‑funded environments—community mental health programs, FQHCs, and nonprofit clinics—care is typically reimbursed through case rates, PPS/APM payments, or bundled claims rather than per‑visit CPT billing.
Here, Async functions as care‑delivery infrastructure. By eliminating intake bottlenecks, reducing no‑shows, and standardizing documentation, the platform increases throughput and improves service quality without adding staff. Even when reimbursement is fixed, these efficiency gains translate into real financial value by lowering cost per encounter and expanding access within existing budgets.
CalAIM and Whole‑Person Care in California
California’s CalAIM initiative explicitly supports flexible, whole‑person care models and allows asynchronous data collection. Async aligns directly with these goals by supporting intake, triage, and assessment across CalAIM priority domains, with services bundled into existing CalAIM claims.
For counties and contracted providers, this means faster access to care, more consistent assessments, and scalable programs that do not depend on hiring additional clinicians.
Capitation, PMPM, and Value‑Based Contracts
Under capitation and per‑member‑per‑month (PMPM) arrangements, financial success depends on delivering high‑quality care at the lowest sustainable cost. Async excels in these environments by reducing the amount of clinician time required per patient while improving early identification of risk and need.
In value‑based and outcomes‑linked contracts, Async’s standardized intake processes, elimination of no‑shows, and rapid time‑to‑care support better access metrics, patient experience scores, and downstream cost reduction—key drivers of shared savings and quality bonuses.
A Reimbursement‑Agnostic Platform
Across all of these models, the core principle remains the same:
In fee‑for‑service models, Async converts time savings into revenue.
In bundled and capitated models, Async converts time savings into margin.
In bundled and capitated models, Async converts time savings into margin.
That is what makes Async not just a clinical innovation, but durable healthcare infrastructure.
For more information please contact: Peter Yellowlees MD.
CEO AsyncHealth.
AsyncHealth: Unlocking Scalable Capacity in Mental Health Care With Asynchronous AI
Peter Yellowlees MD
March 19th 2026
Image from Depositphotos
AsyncHealth: Unlocking Scalable Capacity in Mental Health Care With Asynchronous AI
Peter Yellowlees MD
Mental health is one of the fastestgrowing segments of healthcare—and one of the least scalable. Demand continues to rise, yet care delivery remains constrained by synchronous, appointmentbased workflows that cap capacity, inflate costs, and accelerate clinician burnout. Hiring more clinicians alone cannot solve this problem.
AsyncHealth addresses this structural inefficiency by redesigning how clinical work is performed using their behavioral health platform, Async.
Most provider organizations are already operating near staffing limits. At the same time, clinicians spend a significant portion of their day on tasks that do not require expensive expertise, including intake interviews, documentation, and administrative work. This creates a hard ceiling on growth, regardless of demand.
Async removes that ceiling by decoupling data collection and documentation from realtime clinician involvement—while preserving clinical oversight and quality.
The Async platform combines AIpowered video agent interviewers with automated clinical documentation to shift intake, triage, and followup into a validated asynchronous care model. Patients complete and record structured video interviews with AI video agents on demand. Clinicians review summarized insights, source video, and clinical documentation and interview transcripts through a unified dashboard.
This architecture converts traditionally synchronous workflows into repeatable, scalable asynchronous AI enabled systems. Key platform components include:
- AI video intake using protocoldriven, lifelike interviewers
- A clinician triage dashboard with AI summaries and risk indicators
- An ambient AI scribe for followup and medication management visits
- Automated documentation, EMR export, and HIPAAcompliant infrastructure
Together, these elements unlock meaningful operational leverage for provider organizations. AsyncHealth delivers measurable time savings per evaluation, reduces noshow waste, and shortens intaketotreatment timelines. By increasing effective clinical utilization, organizations generate meaningful incremental revenue per clinician annually—without adding headcount—while reducing administrative cost and regulatory exposure.
Clinical validation is a core differentiator and defensibility moat. AsyncHealth is grounded in more than 15 years of research, including three NIHfunded clinical trials, multiple peerreviewed publications, and over 550 patients evaluated in published studies. The platform is built on validated psychiatric protocols and designed by practicing clinicians, which builds trust in a crowded AI healthcare market.
Unlike transcriptiononly tools or generic AI assistants, Async delivers true asynchronous care. Its dualAI system—a video agent interviewer and an ambient scribe—functions as a virtual clinical assistant rather than a passive recorder. Patient video is treated as analyzable clinical data, unlocking richer insight than text or audio alone.
Purposebuilt for mental health but extensible into adjacent medical verticals as well as clinical trials and education, Async scales from individual clinicians to enterprise deployments. By addressing workflow design at its core, AsyncHealth increases access, improves margins, and reduces clinician burnout—positioning the company to become foundational infrastructure for modern health care.
For more information please contact: Peter Yellowlees MD.
CEO AsyncHealth.
How AsyncHealth Expands Mental Health Access—Without Burning Out Clinicians
Peter Yellowlees MD
March 15th 2026
Image from Depositphotos
How AsyncHealth Expands Mental Health Access—Without Burning Out Clinicians
Peter Yellowlees MD
Mental health providers are facing unprecedented pressure. Patient demand continues to rise, waitlists grow longer, and clinicians spend excessive time on documentation and administration. Traditional, appointmentbased models simply don’t scale, and the result is widespread burnout, lost revenue, and reduced access to care for the people who need it most.
AsyncHealth created Async, an AI enabled platform, to address this problem at its root—not by asking clinicians to work harder, but by redesigning how care is delivered.
At its core, Async is a clinicianbuilt platform that uses AIpowered video interviewers and automated clinical documentation to shift intake, triage, and followup consultations, about 20% of most clinicians’ practices, into an asynchronous care model. By separating information gathering and documentation from live clinician time, Async allows care teams to see more patients, faster, without hiring additional staff or sacrificing clinical quality.
One of the biggest bottlenecks in behavioral health is intake. Scheduling live intake appointments consumes scarce clinician time and often delays treatment before it even begins. With Async, intake becomes appointmentfree. Patients receive a secure link and complete a structured customized video interview with a lifelike AI interviewer on their own schedule, using any device. The interview follows clinically vetted protocols and guides patients through a comprehensive review of their symptoms and history.
Patients stay in control throughout the process. They can pause, rerecord responses, and submit their video answers only when ready. Once complete, Async automatically delivers a clinicianready intake or triage package that includes the recorded video, a searchable transcript with timecodes, and structured documentation formatted for clinical review. Clinicians begin their assessment on the Async dashboard with richer, more complete information. This enables faster prioritization of highrisk cases, more consistent triage across teams, and greater diagnostic confidence, while clinicians who are always in the loop retain full control over diagnosis and treatment decisions.
For followup and medication management visits, Async’s ambient AI scribe runs quietly in the background, drafting progress notes automatically. Clinicians remain focused on the patient rather than the keyboard, and documentation is completed faster and with greater consistency. Documentation can be exported directly to the EMR, with builtin HIPAA compliance and security controls that reduce regulatory risk and administrative overhead.
The impact for clinicians is significant. Teams save substantial time previously spent on intake interviews and documentation, reducing afterhours charting and burnout. Clinicians are able to focus on diagnosis and treatment, improve worklife balance, and work with greater flexibility.
For organizations, Async expands clinical capacity without increasing headcount, converts noshow gaps into productive work, improves revenue capture, and standardizes quality and compliance across teams. Patients benefit from faster access to care, a more comfortable and private intake and triage experience, and quicker progression into treatment.
Built specifically for mental health and grounded in validated psychiatric methodologies, Async enables care teams to deliver better care at scale—while protecting the clinicians who make that care possible.
For more information please contact: Peter Yellowlees MD.
CEO AsyncHealth.
Mental Health Patients Embrace AI Video
Intake Interviews
Intake Interviews
Peter Yellowlees MD
Image from Depositphotos
Mental Health Patients Embrace AI Video
Intake Interviews
Intake Interviews
Peter Yellowlees MD
There are no published studies describing mental health patient experiences with AI video interviewers so when a California Medi-Cal clinic introduced AsyncHealth’s AI video intake agents for mental health assessments, it was rewarding to see that patient responses were positive. In a four-month evaluation (August–November 2025) involving 80 patients — many living with serious mental illnesses such as schizophrenia, bipolar disorder, or addiction — the clinic saw high engagement, strong satisfaction ratings, and positive feedback on the AI interviews. This early experience suggests that AI-driven intake interviews can streamline clinic workflows without compromising patient comfort or trust.
There are no published studies describing mental health patient experiences with AI video interviewers so when a California Medi-Cal clinic introduced AsyncHealth’s AI video intake agents for mental health assessments, it was rewarding to see that patient responses were positive. In a four-month evaluation (August–November 2025) involving 80 patients — many living with serious mental illnesses such as schizophrenia, bipolar disorder, or addiction — the clinic saw high engagement, strong satisfaction ratings, and positive feedback on the AI interviews. This early experience suggests that AI-driven intake interviews can streamline clinic workflows without compromising patient comfort or trust.
High Engagement and Completion Rates:
From the start, patients readily engaged with the AI interviewer. 55 out of 80 participants fully completed the AI-guided video intake with an average recording time for their answers of about 14 minutes per patient.
Solid Satisfaction Scores:
On the feedback surveys, patients rated aspects of their AI intake experience on a 0–10 scale. The results were encouragingly positive across the board:
· Ease of scheduling the session: 7.4/10
· AI interviewer’s communication clarity: 7.5/10
· Quality of the assessment questions: 7.4/10
· Likelihood of recommending this process to others: 6.9/10
These averages in the mid-7 range indicate that patients generally found the AI intake convenient, understandable, and clinically helpful.
Overwhelmingly Positive Feedback & Patient Quotes:
Perhaps most striking were the written comments patients shared. Out of 33 patients who left comments, 29 were positive or neutral in sentiment. Many participants highlighted the comfort, privacy, and non-judgmental atmosphere of speaking to the AI agent.
“I did not feel judged when I was talking about my experience and feelings and was able to talk about it privately in a space that I was comfortable in,” one patient explained, underscoring how the virtual format made it easier to open up. Others praised the ease and simplicity of the process, with comments like “It was easy and convenient,” and “Would gladly do [it] again.” A number of people appreciated being in control of their interview pace — one noted, “The questions were easy to answer, and I liked how I could rewatch the video before submitting it.” Several said they would recommend the AI intake to family and friends. The few negative remarks mostly came from those who simply preferred talking to a human, a reminder that personal preferences vary. However it’s clear that most patients found the AI video intake beneficial and approachable once they tried it.
Encouraging Results for Clinics:
Overall, this pilot demonstrates that AsyncHealth’s AI video agents can effectively conduct mental health intake interviews with excellent patient acceptance. High completion rates, strong satisfaction metrics, and glowing testimonials all point to a tool that patients not only tolerate but often appreciate. For mental health professionals and clinic administrators, these findings offer reassurance that adopting AI-driven intake technology can enhance efficiency without alienating patients. Given the success of this initial implementation, other clinics can confidently consider integrating AsyncHealth’s AI intake agents into their practice. As one participant succinctly put it, “Nicely done.”
This kind of positive patient experience suggests that AI video intake could become a valuable, human-friendly innovation in mental health care, helping clinics expand capacity while keeping patient comfort front and center.
For more information please contact: Peter Yellowlees MD.
CEO AsyncHealth.
Async vs. Other AI Scribes – How Async Delivers Greater ROI
Peter Yellowlees MD
Async vs. Other AI Scribes – How Async Delivers Greater ROI
Peter Yellowlees MD
Async generates notes like the other AI scribes, but it also fundamentally improves access to care. It’s the difference between a faster secretary and a proactive case manager. Async’s ability to “front-load” the work (the AI does the interview first) creates a new kind of efficiency that other scribes simply can’t match. Clinics using Async can literally say, “Start your intake now online with one of our virtual assistants,” rather than “We’ll schedule you in a month and at that visit an AI will help document.”
This improved access to care leads to a faster turnaround of patients, which is a competitive advantage for any clinic (more referrals). From a revenue perspective, offering rapid access can attract more patients (and their referring providers). If your clinic can advertise “Get initial evaluation within 48 hours,” you become very appealing to primary care referrers and to patients seeking help. This can expand your patient base, which in turn grows revenue. Essentially, Async becomes a marketing advantage – referring physicians are impressed that their patients can be reviewed in days, not months, leading them to refer more patients. Financial decision-makers will appreciate that increasing throughput and marketability can grow top-line revenue for the practice or department.
Next, consider value-based incentives and reputation. In systems moving toward value-based care, improving access and outcomes (which Async does by speeding up care and keeping patients engaged) can yield bonuses or shared savings. For example, meeting a metric like “initial mental health visit within 10 days” could secure quality incentive payments. Also, reduced Emergency Room visits or hospitalizations due to quicker outpatient intervention saves costs for payers – making your practice look good in value-based contracts. All these indirect financial benefits come on top of the straightforward productivity boost.
For financial decision-makers, it’s worth noting that Async’s comprehensive approach can yield a different kind of ROI. Regular AI scribes might justify their cost purely by time saved on documentation (e.g., “Dr. X saves 2 hours of charting per day”). Async, however, justifies itself by both time saved and value gained: each provider can see more patients and generate more revenue because the AI has expanded their throughput. Plus, the improved patient access can attract more patients to the system (no one likes waiting months) and enable more financial returns via payments for value using systems like HEDIS (Healthcare Effectiveness Data and Information Set). It’s a double win on investment – efficiency and value growth – whereas generic scribes mainly hit the efficiency note.
To sum up, while there are many AI scribe products in 2025’s market, Async stands out by redefining what an “AI scribe” can do. It’s moving from being a commodity note-taking aid to a differentiated clinical tool that transforms service delivery. Other scribes help with notes; Async helps with delivering care and notes. This is a classic case of not all AI scribes being created equal. AsyncHealth has essentially leapt ahead to what forward-thinking observers call the future of ambient clinical intelligence – where the AI doesn’t just write the note but also meaningfully contributes to the clinical encounter from a value perspective. For a mental health clinic or practice evaluating solutions, the difference is stark: choose a scribe that writes what you say, or choose a system that does the interview and writes the note. Async does both, and that’s why it outshines the rest in delivering value to both patients and providers.
Boosting Productivity and Revenue in Behavioral Health – How AI Makes It Possible
Peter Yellowlees MD
Boosting Productivity and Revenue in Behavioral Health – How AI Makes It Possible
Peter Yellowlees MD
For mental health providers and clinic managers, Async isn’t just a novel tool – it’s a practice game-changer that directly translates into productivity gains and financial upside. In a field where clinician time is the most precious (and expensive) resource, Async effectively creates more time. That extra time and efficiency then drives more appointments, more billing, and more revenue, all while reducing costs. Let’s break this down.
- More Billable Visits (Higher Throughput): The most straightforward impact is that psychiatrists and psychologists can handle more patient encounters in the same work hours. By cutting the intake process time roughly in half, Async doubles the number of new patients a clinician can evaluate in a given day. For example, if you used to see 8 patients per day (with some of that time taken by initial evals and paperwork), you might now manage 10–12 without extending clinic hours. Whether you’re charging insurance, Medicare, or session fees, more visits = more revenue. Async has been estimated to add $30,000 to $80,000 per provider per year in extra income just from these extra billable consultations. And because Async’s notes are thorough, clinicians can bill at appropriate (often higher) complexity codes confidently, knowing the documentation supports their coding decisions. There’s also potential to utilize new billing codes (like collaborative care or telehealth-specific codes) that Async’s model opens up, capturing revenue that might have been previously lost.
- Recapturing Lost Time (No-Show Recovery): Every clinic knows the frustration of no-shows and late cancellations – they directly eat into revenue with no reimbursement. Async helps virtually eliminate unproductive downtime. How? In the traditional model, a no-show leaves a 60-minute gap. With Async, that hour is easily filled: the psychiatrist can use it to review Async interviews from other patients, effectively plugging revenue leaks. There is less unbillable time in the schedule. Over the course of a month, converting a few no-show slots into productive case reviews can raise completed visits by 10–15%. For providers on salary, it increases output; for those paid per encounter, it directly boosts pay. Additionally, fewer no-shows occur in the first place because patients aren’t waiting for long periods of time which is known to correlate with high no-show rates. So Async not only fills holes, it prevents some holes from happening.
- Reduced Administrative Load (Lower Costs): Productivity isn’t just about seeing more patients – it’s also about spending less time and money on non-clinical tasks. Async automates transcription and note-writing, which can save on administrative staffing. By using Async, you might avoid needing a scribe service, or free up support staff to do other revenue-supporting activities (like outreach or care coordination). The AI scribe is essentially doing the work of a medical transcriber/assistant but at a fraction of the cost continuously. Also consider clinician recruitment and retention costs: by easing workloads and burnout, Async might also help you retain staff longer (avoiding expensive recruitment or locum tenens costs). Happy doctors who aren’t overloaded are less likely to cut back hours or retire early.
- New Billing Opportunities and Fewer Missed Charges: Async’s detailed documentation can improve billing accuracy. We all know if documentation lacks a certain phrase or detail, insurance may downcode or deny a claim. Async’s notes are thorough, helping ensure nothing is missed for coding. Moreover, because the process is standardized, documentation is ready faster, so billing can be submitted promptly, improving cash flow. If you’ve ever had a clinician submit notes late or incompletely and miss a billing cycle, Async’s instant notes
can mitigate that.
To quantify the impact: In a clinic setting, if each psychiatrist can earn, say, an extra $50k a year by seeing more patients, a group of 10 psychiatrists brings in $500k more. If administrative efficiencies save another $100k (in transcription services or overtime), that’s $600k. And if improved access attracts additional volume worth $200k, now you’re at $800k. These numbers will vary, but the point is Async has multiple avenues of financial return – direct clinical revenue, operational savings, and growth from improved service capacity.
In summary, Async lets clinicians work smarter, not harder – and the revenue follows. You get more out of the resources you’re already paying for such as your clinicians’ time and your clinic space. The investment in Async can pay for itself many times over in increased productivity and revenue all while enhancing care. That’s a return on investment that’s hard to beat.
Async vs. Other AI Scribes – Standing Out
in the Crowd
in the Crowd
Peter Yellowlees MD
Async vs. Other AI Scribes – Standing Out
in the Crowd
in the Crowd
Peter Yellowlees MD
AI-powered medical scribes are becoming common, but AsyncHealth’s solution, Async, is in a league of its own. “Best-of-breed” AI scribe products focus on transcribing clinician-patient conversations and generating a clinical note from those transcripts. These tools do help reduce documentation time for doctors, but they all share a fundamental limitation: they require a live clinical encounter to happen. In other words, a clinician still has to spend time with the patient in real-time, and the AI’s job is to document that encounter. Async’s approach is radically different: it not only generates the notes, but conducts the patient interview itself asynchronously. This distinction makes Async a two-in-one solution – a virtual interviewer + an ambient scribe – whereas most competitors are just doing the scribing part.
Let’s break down a few key differences in a comparison:
As the table shows, Async extends beyond the capabilities of typical AI scribes. Traditional ambient scribe solutions primarily tackle the documentation burden, which is indeed valuable – they listen to the conversation and create a draft note, saving clinicians from hours of typing. But these tools don't address other major pain points in behavioral health: long waitlists, no-show appointments, and limited clinician capacity. They still operate within a one-patient-to-one-doctor, scheduled appointment framework.
AsyncHealth’s Async system breaks that mold completely. By having an AI conduct the intake, patients begin care by telling their history immediately instead of waiting weeks.
Double Your Mental Health Team for Better Care – Use AI Scribes + AI Interviewers
Peter Yellowlees MD
Double Your Mental Health Team for Better Care – Use AI Scribes + AI Interviewers
Peter Yellowlees MD
In AsyncHealth’s platform, two AI systems work in tandem like a well-trained duo – and the results are game-changing for consultations performed by all mental health clinicians. The combination of the AI Interview Assistant and the Ambient AI Scribe creates a synergy that vastly improves efficiency and thoroughness. Let’s explore why this “double team” approach is so powerful when assessing patients.
Picture a typical psychiatry intake: traditionally, a clinician spends about an hour asking questions and jotting notes, then later types up or dictates a detailed report. With AsyncHealth, those two steps happen simultaneously and asynchronously. As the AI interviewer engages the patient with a full battery of clinically vetted questions, the session is not only recorded on video – it’s also transcribed in real time. Immediately afterward, the AI scribe processes that transcript to produce a structured draft of the consultation note. By the time the clinician reviews the case, they have all the patient’s answers plus a neatly summarized history, complete with highlighted key symptoms or “red flags” (for example, mention of suicidal thoughts is automatically flagged for quick attention). Essentially, the scribe has already written the first draft of the psychiatric evaluation for you.
The advantages of this combo are immediately apparent: First, efficiency. An intake that used to require ~60 minutes of interviewing can now be completed with about 10 minutes of the clinician’s review time, since the asking and documenting were handled by AI. That’s why clinicians using Async report cutting intake time in half. No more spending your evenings finishing charts – the heavy lifting is done for you, concurrently with the interview.
Second, comprehensiveness and accuracy get a boost. The AI interviewer follows a protocol that ensures no important question is missed – from psychiatric history to risk assessment – and the AI scribe captures every word the patient says. This means the resulting documentation is extremely detailed. The scribe doesn’t get tired or cut corners; it transcribes verbatim and then condenses the information into a coherent narrative summary. Clinicians often find the notes more complete than what they could write by hand in a live session, because the AI never forgets or mishears something. And if a patient brings up something unexpected, it’s all recorded. The ambient scribe also standardizes the note format, so you get structured information (history of present illness, meds, family history, etc.) laid out neatly every time. This consistency helps ensure quality and can even assist with billing documentation at the highest correct coding level as the notes include all necessary elements.
Third, better focus during live interactions. In cases where the clinician does meet with the patient (for example, an intake consultation or medication management monitoring session in an outpatient practice), the ambient AI scribe can run in the background to document the conversation. Knowing that an AI scribe is capturing the conversation, the clinician can give full attention to the patient without worrying about writing everything down. Later, the clinician reviews the auto-generated note for accuracy. This frees you to maintain eye contact, observe the patient’s affect, and respond empathically – the AI will remember the details for you. Psychiatrists value the therapeutic alliance, and not having to interrupt the flow of the conversation to document notes strengthens
that alliance.
that alliance.
Clinicians using AsyncHealth have described the experience as “having a second pair of eyes and ears – just like working with a resident” on every consult. The AI interviewer asks and the AI scribe to document – freeing the clinician to think, analyze, and make decisions. The end result: higher quality care in less time. Clinicians can see more patients or spend more time on each complex case, confident that routine parts are handled. The enthusiasm from early adopters is palpable: Why do it the old way, once you’ve tried this double team? Mental health practices achieve new levels of productivity without sacrificing the personal touch – in fact, the personal touch is enhanced because the clinician isn’t buried in paperwork.
The power of AI Virtual Clinical Assistants –
A New Team Member in Your Practice
A New Team Member in Your Practice
Peter Yellowlees MD
The power of AI Virtual Clinical Assistants –
A New Team Member in Your Practice
A New Team Member in Your Practice
Peter Yellowlees MD
Imagine having a virtual teammate who handles routine interviews and paperwork, so you can focus on patients. AsyncHealth’s AI clinical assistants make this a reality. They come in two forms: an AI Virtual Interviewer that conducts patient intakes, and an Ambient AI Scribe that documents sessions automatically. Working with these assistants is like gaining a super-efficient co-worker – one who never forgets a question and never tires of note-taking. Clinicians remain firmly in control, but much of the busywork is offloaded to AI. A perfect use of AI in healthcare that enables clinicians to spend more time on paid work that actually makes a difference.
So how do you collaborate with AsyncHealth’s AI assistants? It starts when a patient needs an evaluation. Instead of waiting weeks for an appointment, the patient can complete an AI-guided video interview on their own time. The lifelike AI interviewer greets them and asks all the standard clinical questions – from history to symptom checklists – following a structured protocol, and with perfect thoroughness. While the patient speaks freely (often more comfortably than in a rushed clinic visit), the system records and transcribes everything. No clinician has to be present during this step. As the clinician, you step in after, at your convenience when you review the interview recording and transcript along with an AI-generated summary that highlights key points and a draft of your clinical notes developed on our mental health records templates. By the time you see the patient, the AI assistants have already done the intake interview and drafted the note for you.
Clinicians who have used AsyncHealth report that it feels natural to work with AI helpers. It is like having a resident clinician working with you. You are still the decision-maker – you review the AI assistant’s notes, add your assessment, and finalize the plan – but you don’t have to spend an hour asking routine questions or typing lengthly notes. On average, providers get back 1–2 hours each day that would have been spent charting or doing repetitive interviews. This freed time can be redirected to more patient care or simply ending your day on time – a huge boost for work-life balance and burnout reduction.
Importantly, quality of care remains high. Decades of research on asynchronous telepsychiatry show that diagnoses and treatment recommendations from reviewing recorded interviews are just as reliable as traditional in-person evaluations. In fact, providers often find the data more comprehensive. The AI interviewer never skips a question, and patients often share more detailed history in the comfortable, private setting of an AI interview than they might in-person. Clinicians can replay patient videos to catch nuances in mood or reactions that might be missed in real time. And if anything seems unclear, you can always follow up with the patient directly – armed with far more information than a typical first visit would yield.
Working with AsyncHealth’s AI assistants is intuitive and rewarding. You are not replaced – you are augmented. Clinicians quickly go from skeptical to enthusiastic when they see that the AI handles the mundane tasks, with the clinician remaining as the compassionate human expert. You get the best of both worlds: thorough patient evaluations and documentation done in a snap, with the freedom to focus on higher-level clinical decision-making and patient connection. It’s a partnership between clinician and technology that truly enhances care.
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