Animal Neurology Center says Instinct EMR helped it scale
Bottom line
The Animal Neurology Center, a specialty practice in St. Louis led by Fred Wininger, VMD, MS, DACVIM (Neurology), says it increased throughput without adding staff after adopting Instinct EMR, according to a May 1, 2026 case study published by Instinct. The practice reported handling about seven MRIs a day, above the two-to-four range cited in the piece, while improving record completion, speeding communication with referring veterinarians, and helping clinicians finish earlier. Instinct framed the gains around real-time documentation, linked treatment, billing, and whiteboard workflows, and automation tools that reduce manual follow-up work. The company has also been expanding its broader clinical intelligence strategy, including AI-powered summarization tools, Plumb’s-integrated decision support, and its January 2026 acquisition of ScribbleVet. (instinct.vet)
Why it matters: For veterinary professionals, the case study speaks to a familiar pressure point: growing specialty caseloads without proportional staffing growth. The operational claim here isn’t just faster charting, but tighter handoffs, earlier record completion, and fewer disconnected systems across treatment, invoicing, and referral communication. That fits a wider industry push toward cloud-based, workflow-first software and AI tools aimed at reducing documentation burden, though most evidence in this case comes from vendor-reported experience rather than independent study. (instinct.vet)
What to watch: Watch whether Instinct publishes more measurable customer outcomes, and how quickly its newer AI and scribing capabilities are folded into day-to-day specialty workflows. (instinct.vet)
The Animal Neurology Center in St. Louis is the latest specialty practice highlighted by Instinct Science as evidence that veterinary hospitals can scale caseloads without adding operational chaos. In a May 1, 2026 case study, neurologist and practice leader Fred Wininger said the hospital was able to stay organized enough to see more cases, complete records faster, improve communication with referring veterinarians, and still get clinicians out earlier at the end of the day after implementing Instinct EMR. (instinct.vet)
That message lands at a moment when veterinary software vendors are increasingly positioning workflow tools, cloud systems, and AI as answers to staffing strain and administrative overload. Instinct has been steadily broadening that pitch: it acquired Plumb’s and Clinician’s Brief parent VetMedux in 2024, launched Standards of Care in March 2025, rolled out a primary care version of Instinct EMR in December 2025, and acquired AI scribe company ScribbleVet in January 2026. Together, those moves point to a strategy built around combining medical records, workflow, and point-of-care clinical intelligence in one platform. (instinct.vet)
In the ANC case study, Instinct says the practice reached roughly seven MRIs per day, which it described as well above a typical two-to-four range. Wininger attributed the improvement in part to being able to complete exam documentation, assessment, and plan while a case is still moving through the hospital, rather than leaving charts open until discharge. The company also pointed to tighter links between treatment sheets, invoices, whiteboards, and record-sharing with referrers, plus automations for follow-up emails, discharge instructions, and task generation tied to procedures or treatments. Instinct’s product materials make similar claims about connected workflows, automatic charge capture, real-time status visibility, and embedded drug information from Plumb’s. (instinct.vet)
Instinct has also been explicit that AI is becoming part of that workflow story, not a separate add-on. Company materials describe document summarization, patient and visit summaries, and Plumb’s Assistant as ways to surface clinical context at the point of care, while its ScribbleVet acquisition is meant to bring AI scribing directly into the EMR over time. That matters because the value proposition is shifting from simple digitization to reducing the amount of searching, retyping, and after-hours charting clinicians still do in many hospitals. (instinct.vet)
Outside reaction on this specific ANC deployment appears limited so far, which is typical for vendor case studies. But broader industry commentary is moving in the same direction. Recent reporting and survey-based coverage suggest veterinary teams are adopting AI and workflow tools less for autonomous decision-making and more for documentation, continuity, and efficiency gains, especially in environments where burnout and staffing pressure remain high. At the same time, clinicians continue to raise concerns about hallucinations and the need for human review, particularly when AI is used to summarize records or support clinical decisions. (veterinarypracticenews.ca)
Why it matters: For veterinary professionals, the ANC story is less about one specialty hospital’s software preference and more about what operational leverage now looks like. Specialty and emergency practices often don’t need more isolated features; they need fewer breaks between charting, treatment execution, billing capture, and referral communication. If software lets doctors close out core documentation earlier, gives technicians and assistants a shared real-time view of the case, and reduces manual follow-up steps, that can translate into more predictable throughput without immediately increasing headcount. But it’s worth reading this as a vendor-backed case study, not independent outcomes research, and asking the usual implementation questions: how much workflow redesign was required, how much training was needed, and whether gains hold up across other hospitals with different staffing models or case mixes. (instinct.vet)
What to watch: The next signal will be whether Instinct backs up stories like ANC’s with broader benchmarking data, and whether its AI summarization and scribing tools become meaningfully embedded in specialty practice workflows over the rest of 2026 rather than remaining promising adjacent features. (instinct.vet)