The Unnamed Efficiency Drain: Why Veterinary Medical Records Have Become Too Complex to Read
When we talk about efficiency in veterinary medicine, the conversation usually revolves around the same familiar topics: optimizing appointment schedules, improving technician utilization, and refining hospital workflows. These are critical discussions, especially in an era of evolving practice models and increasing operational demands.
But there is a massive, systemic problem hiding in plain sight within our daily workflows, one that drains time, increases cognitive load, and directly impacts patient care. Yet, we rarely talk about it as a distinct issue.
The problem is the sheer difficulty of extracting and understanding information from modern veterinary medical records.
To understand why this has become such a significant bottleneck, we have to look at how the medical record has evolved over the last few decades, and how the way we practice medicine has changed alongside it.
The Evolution of the Record
Medical records in veterinary medicine have changed drastically over the past 50 years. Years ago, handwritten notes were the only option. By necessity, they were succinct. A veterinarian and their staff would quickly record the most vital information: what problems were found, relevant diagnostic results, and what treatments were administered.
Combined with the innate memory of a small hospital staff that saw the same patients repeatedly, this system worked. It helped veterinarians track a patient's history over time, work up chronic issues, and avoid repeated complications. It wasn't a perfect system, but it had one massive advantage: because the records were brief, it was fairly easy to retrieve specific information about a patient when you needed it.
Then, several concurrent shifts changed the landscape of veterinary medicine.
The most obvious was the adoption of computers and the rise of Electronic Medical Records (EMRs). At the same time, the scope and expectations of practice were shifting. Medical records increasingly needed to serve as robust legal documents. It was no longer enough to document what was abnormal; records now needed to explicitly state what was normal to prove a thorough exam was performed. They needed to document not just what treatments were done, but what was offered and declined by the client.
Simultaneously, the rise of veterinary specialists meant that referring veterinarians needed to document their thought processes in much greater detail, capturing subtle changes that might be part of a more complex condition.
EMRs supported this shift by allowing vets to type more information quickly and utilize shortcuts like templates and macros. They also bolstered the legal integrity of the document through time-stamped entries and addendums. As medicine became more complex, the record swelled to include in-house and reference lab reports, specialist notes, emergency hospital discharges, imaging reports, estimates, and flow sheets.
Today, we even have medical scribe software that captures and generates incredibly detailed clinical notes automatically. These tools have been a massive help in reducing the administrative time it takes a doctor to write a record.
But this explosion of data has created a new, entirely different problem.
The Modern Problem: Data Rich, Information Poor
While records have become incredibly detailed, they have also become exponentially harder to search, analyze, and understand in a timely fashion.
Part of the problem is structural. A modern patient record is not a single, organized document. It is a collection of data from many different sources, often assembled in reverse chronological order and spread across multiple formats. SOAP notes sit alongside scanned PDFs from outside laboratories. Specialist reports are attached as separate documents. Emergency hospital discharge summaries arrive as uploaded files. Imaging reports live in one part of the system while treatment plans and estimates live in another. The Practice Information Management System (PIMS) that holds all of this data was built primarily to manage appointments, billing, and basic record-keeping, not to help a clinician rapidly synthesize a patient's full history. Most PIMS platforms are proprietary silos with limited interoperability, meaning records from a previous hospital, an emergency clinic, or a specialist rarely integrate cleanly. The result is a fragmented, layered archive that requires significant time and effort to navigate.
This complexity is colliding with a fundamental shift in how veterinary hospitals operate. The days of a small practice where one doctor sees a patient for every problem throughout its entire life are fading. With the rise of multi-doctor practices, urgent care facilities, and 24-hour emergency hospitals, patient care is now a team sport.
There are many advantages to this collaborative approach, but the loss of strict continuity of care makes evaluating the medical record more important than ever. When a doctor steps into an exam room to see a patient they have never met, the record is their only lifeline.
Unfortunately, research across human healthcare consistently shows that medical errors occur most frequently during transfers of care. According to the Joint Commission, an estimated 80% of serious medical errors involve miscommunication during patient transfers. [1] A separate analysis by the Agency for Healthcare Research and Quality found that approximately 60% of medication errors occur specifically during transitions of care. [2] While these figures come from human medicine, the underlying dynamic applies equally in veterinary practice: critical information being missed or incorrectly passed from one care team to another. The sheer volume and fragmentation of modern veterinary records mean that doctors and staff simply do not have the time to fully evaluate a patient's history before every encounter. Vital information gets buried.
The Hidden Cost of Record Analysis
The ability to extract and understand information from medical records is foundational to good patient care, and it has a major effect on how quickly a veterinarian is ready to see their next patient.
In an environment where clinics have waitlists of clients trying to get in, any inefficiency in a doctor's workflow literally costs the hospital money. But doctors aren't the only ones paying the price.
Throughout the day, Customer Service Representatives (CSRs) and Licensed Veterinary Technicians (LVTs) field constant questions from clients. Can I get a refill on this medication? What did the doctor say about the bloodwork? When is the recheck supposed to happen? Answering these questions requires diving into the medical record. When that information is buried in a 40-page digital file, staff get tied up searching for answers, delaying them from moving on to other critical tasks. This friction drags down the efficiency and productivity of the entire hospital.
For veterinary specialists, the burden is even heavier. Specialists must review massive collections of records from referring veterinarians multiple times a day. Sifting through years of dense, unformatted history to find the relevant diagnostic trends is a grueling, time-consuming process that eats into their ability to actually practice medicine.
Beyond efficiency, there is the risk of medical errors. Missing a crucial piece of information buried in a complex record can cause patient harm, damage client trust, and create immense stress for the hospital staff. Managing the fallout from these errors takes time and emotional energy, further cutting into hospital profitability and team wellbeing.
Defining the Problem: Medical History Overload
So why isn't this discussed as a specific, solvable problem in veterinary management circles?
Largely because we have been conditioned to accept it as an unavoidable reality of managing patients. We assume that reading a dense record is just "part of the job." But as the complexity of records has grown over time, this friction has quietly compounded into a major operational bottleneck.
It is time we give this problem a name: Medical History Overload.
Medical History Overload is distinct from the much-discussed "documentation burden." For the last decade, the industry has focused almost entirely on the burden of writing records. We have built scribes, templates, and EMR shortcuts to help us put information into the record faster. But we have completely neglected the problem of how to get information out of the record efficiently.
Think about the math. In a typical day, a veterinarian might encounter five to ten cases that require meaningful record review before the appointment, spending 15 to 30 minutes on each. That alone can represent one to three hours of physician time per day spent on record orientation rather than patient care. In more extreme circumstances, such as a relief veterinarian covering an unfamiliar practice for the day, nearly every patient is a new face, and the time burden compounds accordingly. Whether it is an occasional cost or a daily one, it is time that is not being reimbursed and not being spent on the work that only a veterinarian can do.
So What Is the Solution?
We cannot go back to brief handwritten notes any more than we can go back to hand-developing radiology films. The information contained in modern records is there for good reasons. A complete, detailed record protects the patient, the client, and the hospital. When your record needs to stand up in court, you want every detail accounted for.
But that level of completeness is not what you need every time a technician answers the phone about a medication refill, or every time a specialist sits down to review a new referral case. What you need in those moments is the most relevant information, quickly.
Structured record summaries are the answer. The concept is straightforward: you retain the full medical record in its entirety for when you need it, but you also have a clean, organized summary that allows any member of the veterinary team to quickly locate and understand the most critical information for the task at hand. The two are not in conflict. They serve different purposes at different moments in the workflow.
This is not a new idea. Many veterinary specialists already rely on their LVTs to manually draft summaries of patient records before appointments. It is a practice that works well, but it comes at a significant cost. Asking a credentialed technician to spend an hour synthesizing records before each specialist appointment is a substantial drain on one of the most valuable and expensive resources in the hospital. At a time when the profession is actively working to better utilize LVTs for clinical tasks that only they can perform, routing their time into administrative summarization is a step in the wrong direction.
New technology now makes it possible to automate this process. A task that once took an LVT an hour to complete can now be accomplished in five minutes, and it no longer requires a credentialed clinician to do it. A CSR can initiate the process, the summary is generated, and the doctor or specialist has what they need before they ever walk into the room.
That is precisely what Scryvet was built to do. The goal is not to replace the medical record or to simplify the practice of medicine. It is to make sure that the right information reaches the right person at the right moment, so that the full depth of a patient's history is an asset rather than an obstacle.
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References
[1] Critical Communication: A Cross-sectional Study of Signout at the Prehospital and Hospital Interface. PMC / National Library of Medicine, 2020.
https://pmc.ncbi.nlm.nih.gov/articles/PMC7047340/
[2] Inpatient Transitions of Care: Challenges and Safety Practices. AHRQ Patient Safety Network, 2024.
https://psnet.ahrq.gov/primer/inpatient-transitions-care-challenges-and-safety-practices