Smarter Chart Prep: Applying AI to Pre-Visit Preparation for Complex Care

A patient walks in for their appointment. Conversation will follow, care will be delivered. But what defines how well the encounter goes? Is it the clarity of information shared? The communication between doctor and patient? 

The value of that visit depends significantly on what happened before the patient ever entered the room.

In oncology and other complex specialties, pre-visit preparation is the foundation of clinical decision-making. An oncologist walking into a follow-up appointment without knowing about the patient’s interval events (an ED visit two weeks ago, an abnormal pathology result) isn't just unprepared; they’re actually at a disadvantage the moment the conversation begins. The same is true in cardiology, urology, and any specialty managing patients with layered, longitudinal histories, so often across multiple providers and systems.

The information is almost always available. The challenge is finding it, poring through it, organizing it.

The information that’s needed is almost always available. The challenge for any clinician is finding it, poring through it, and organizing it into something useful for the upcoming visit. For new consults with outside records, preparation can take an hour or more. Even for returning patients with interval events to track down, the task regularly runs 15–30 minutes, time that compounds across a full day's schedule.

Clinicians in complex specialty care have constant strains on their time. Even the work that supports clinical decision-making can be frustratingly manual, as is the case with pre-chart work. But AI pre-visit preparation is surfacing as the key to not only saving time for physicians and MAs, but ensuring a complete picture before the patient walks in.

What pre-visit preparation requires in complex specialties

For specialists caring for patients with serious or chronic illness, preparation can’t be just a quick scan of the patient chart. Patients have histories that span months or years, and their information lives across multiple sources: visit notes from within the practice, results from labs and imaging, reports from outside institutions, notes from other specialists involved in the patient's care and, increasingly, molecular and genetic test results that can run to dozens of pages.

Before seeing a returning patient, a clinician needs to know the answers to the kinds of questions that are rarely answered in any one place:

• What has happened since the last visit? 
• Have the labs that were ordered come back, and what did they show? 
• Did the patient complete the recommended scan, and if so, what did the radiologist find? 
• Were there visits with other providers in the interim? 
• Did anything happen—a hospitalization, an urgent care visit, a prescription change—that isn't part of the planned care path?

For a new patient consult, the preparation task is different but equally (if not more) demanding. The referral must easily answer the top-line questions: Why is this patient coming here, who referred them, and why? Then there are the associated documents: outside records, prior imaging, diagnostic pathology, whatever paints the complete picture of the patient and their condition.

The clinician needs to synthesize all that material into a coherent clinical story before the first appointment, so the conversation can begin with context rather than a recounting of the patient’s history.

Medical assistants often take this on, spending significant time clicking through the EHR, tracking down documents, and attempting to surface what matters before a provider steps into the room. When it falls to the clinicians, it frequently happens over the weekend, the night before, early in the morning—time found amidst an already compressed schedule.

Why the EHR alone doesn't solve the pre-charting problem

This is simple: The EHR is not a preparation tool. It’s a gathering site for patient information. Just navigating a complex patient's record requires first knowing where to look. In oncology especially, that means moving across tabs, opening multi-page pathology reports to locate a single relevant finding, cross-referencing notes from different providers, and sometimes logging into multiple systems when a patient has received care at more than one institution.

Clinicians need a structured, synthesized summary, focused on what’s most relevant to this specific patient at this specific point in their care.

The problem compounds in specialties like radiation oncology, where a clinician might have to access four or more separate EHR instances to locate imaging and pathology results for a single patient. This is a manual, time-intensive process that has no particular reason to be a clinical task.

Clinicians in complex specialties have the data. In fact, it’s in abundance; that’s not the issue. What they need is a structured, synthesized summary of that data, focused on what’s most relevant to this specific patient at this specific point in their care. It must be organized based on whether they're walking into a new consult or a follow-up, and presented in a format that can be taken in quickly, without additional navigation to confirm.

How pre-visit preparation differs by visit type

Preparing for a patient receiving chronic or complex care is different for an initial consult than for a follow-up. In turn, the actions and intelligence creating that pre-visit preparation must differ as well. The distinction matters because the clinical questions are different.

For an initial consult, the physician or MA has to build a clinical picture from scratch. For cancer care, the patient's oncologic history needs to be assembled from referral documents and outside records, often from institutions with different EHR systems and varying document formats. The goal is to arrive at the appointment with a complete understanding of the patient's diagnosis, staging, relevant pathology and molecular findings, prior treatment, and key comorbidities. If done manually, that synthesis is one of the most time-consuming tasks in the pre-visit workflow.

For a follow-up visit, the clinician needs to know what’s changed. Were the labs ordered at the last visit completed? What did the most recent imaging show? Has the patient had any contact with other providers or facilities since the last appointment? Are there outstanding items from the prior plan? Interval events are often where critical clinical decisions for today's visit originate—and also among the most likely to be missed.

These two preparation modes require different information, structured differently, timed to be available and accurate when the clinician needs them.

What effective AI-driven chart prep should do

Applying AI to pre-visit preparation is not about creating a generic summary more efficiently. That's not enough. It's about automatically taking on the retrieval, extraction, and detailed organization work that currently consumes clinician and staff time, with a contextual understanding of the upcoming visit. 

Here’s how an AI platform must address pre-charting to work effectively in complex specialties:

The AI needs to draw from all relevant sources, not just structured EHR fields. Unstructured documents, like pathology reports, radiology reports, outside records, and notes from other providers contain some of the most clinically significant information. Surfacing only structured data leaves critical gaps.

It needs to extract information intelligently, and not just aggregate. A 20-page pathology report from a reference lab may have one or two findings that are relevant to the clinical decision at hand. AI that surfaces the entire document rather than the impression is adding to the problem rather than solving it. Clinicians need the key finding, with the source document accessible if verification is needed.

It needs to adapt to visit type. A system that structures and summarizes all appointment information the same way doesn't reflect how clinical preparation actually works.

It needs to stay current. Different clinicians prepare for a patient visit at different times. Some prepare days before, others review information in the minutes before entering the room. With new details arriving continually, a static summary generated once and left unchanged is at risk of being outdated precisely when it matters most.

It needs to connect to the clinical workflow that follows. When pre-visit intelligence feeds directly into the day’s note, without the need for manual entry or copy-and-paste, preparation work doesn't stop at the door. It becomes part of the documentation that follows.

SmartPrep: Pre-visit intelligence built for complex care

Designed for oncology, DeepScribe's SmartPrep addresses each of the above requirements. For oncology practices, where clinical complexity and documentation volume exist at daunting levels, SmartPrep automatically aggregates, structures, and presents the clinical information a provider needs before each encounter, specific to each visit type.

For initial consults, SmartPrep draws on up to two years of records to synthesize a complete oncologic history of the patient, organized into a structured History of Present Illness (HPI) that can flow directly into the visit note. For follow-up visits, it surfaces interval events, reconciles the status of prior plan items, and identifies what's outstanding. Clinicians arrive knowing what happened since the last appointment, not discovering it from the patient mid-conversation.

Rather than simply surfacing multi-page pathology and radiology reports, SmartPrep extracts key findings. The impression is available immediately, and the source document is one click away. For oncologists who currently navigate multiple systems to locate imaging and pathology results, the practical time savings can be significant, especially for initial consults. 

Because SmartPrep is part of DeepScribe's Ambient Operating System, and not a standalone point solution, the information it surfaces connects forward into documentation, maintaining continuity across the clinical workflow.

In complex specialties, readiness is a component of care that simply can’t be overlooked. In oncology especially, the consequences of insufficient preparation can be dangerous. When clinicians can approach each encounter fully informed, without the burden of finding and organizing the day’s most relevant details, that’s true clinical support. SmartPrep is built to deliver exactly that.
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Learn more about SmartPrep and how it can help you prepare for every visit.

See how DeepScribe supports the complete clinical workflow in oncology.