DoxGPT Explained: Doximity’s AI Toolkit for Physicians
I use Doximity almost every day. Their physician toolkit solves the annoying, high-friction problems that pile up in clinical work.
And right now, every company is pitching “AI for clinicians.” The pitch all starts to sound the same.
In this deep dive, I'll explain what Doximity GPT actually is, why I keep coming back to it, and how their physician toolkit impacts patients, physicians, and health systems.
Residency Training With 14 Tabs Open
I finished medical school and began residency at the peak of physician tool fragmentation. I used one tool for drug lookups, another for pathophysiology, a third to call patients without exposing my number, and a fourth to calculate ASCVD risk. My day was filled with open tabs and phone apps.
I quickly grew frustrated with these fragmented tools. Every extra tool meant more context switching, more time verifying basics, and more chances to miss something.
I've thought about this often during my training—and written about it in Healthcare Huddle (see Inefficiency Insights). I've even discussed it with some of you. What I've realized is that there are three truths to being a physician right now:
Medical research is proliferating, and we’re expected to keep up (often between admissions, notes, and inbox).
Patients are living longer with more complex conditions, and we’re expected to navigate that complexity (polypharmacy, consult notes copied forward, fragmented histories).
Demand keeps rising while supply stays flat, and we’re expected to see more patients in less time (with the same documentation burden).
AI should make all of this easier. In some ways, it does. But it also created a new problem: we’re now not just juggling clinical tools but also AI tools. I don’t need more tabs open. I just need fewer steps between question to answer to action.
As I close out my residency training, I've found myself using DoxGPT as my one-stop shop for physician tools—and I want to tell you why it works.
Doximity’s Physician GPT Toolkit
I’ve become quite proficient with Doximity’s tools to the point that the mobile and web apps are always open when I’m working. Below, I quickly explain what DoxGPT is and then describe how I use some key features throughout my day.
So what is DoxGPT actually?
DoxGPT turns clinical “tab switching” into one workflow assistant, addressing how medical research is proliferating, patients are growing more complex, and demand keeps rising while we're expected to see more in less time.
The key is where DoxGPT lives. It sits inside a platform many physicians already use for communication, documentation, and quick reference—rather than asking us to adopt another standalone AI tool. In a crowded AI market, Doximity's bet is that trust and workflow integration win.
Next, I'll walk through the specific features and how I actually use them. You should bookmark this.
How to use Doximity’s Physician Toolkit
If you remember nothing else, DoxGPT is trying to shorten the distance between question → answer → action by bundling the most common “moments in the day” into one place.
Below are the features that matter, organized the way we actually think while on service.
1) “When I’m admitting…” (Templates + Projects + Attachments)
Use case: I’m staring at a mess of copied-forward notes, and I need a clean one-liner + timeline fast.
What DoxGPT gives you:
Templates/Projects to save reusable prompts for recurring tasks (admit note skeletons, problem list formatting, discharge summaries).
Attachments so you can upload or paste a note/labs and ask it to extract key meds, events, and turning points.
2) “When I’m prescribing…” (Lookup Rx/Instant Answers)
Use case: I need dosing, interactions, side effects, or a quick “can I give this with that?” Also, I can copy and paste someone’s long medication list and ask if there are any medications that can be given as combo pills (reduce pill burden!)
What DoxGPT gives you:
Instant Answers: peer-reviewed drug monographs (3,200+), designed to show up immediately without relying on on-the-fly AI generation.
3) “When I’m trying to actually read the source…” (Full-text PDFs + Preferred Journals)
Use case: I’m not looking for a summary. I want to verify the claim.
What DoxGPT gives you:
Full-text PDF access for 2,000+ journals so you can go question → summary → source without leaving the tool.
Preferred journals so DoxGPT can prioritize the sources you trust (useful when you don’t want random noise in the citations).
4) “When I’m documenting…” (Scribe → DoxGPT)
Use case: I have a generated note, but I want a second-pass edit: tighten the A/P, catch missing workup steps, rewrite for clarity.
What Doximity gives you:
Scribe to generate the note in the first place, with customizable formats like SOAP, H&P, consults, and more. The scribe doesn’t necessarily need to be listening to you and the patient. What I’ve been doing is seeing the patient, and then on the way up from the emergency department, I’ll start dictating the history, lab and imaging findings, and my Assessment and Plan, so by the time I return to my desk, my entire H&P is complete.
Integration across Scribe, Dialer, and DoxGPT so the workflow is meant to stay in one ecosystem.
5) “When I need to call a family member…” (Dialer + Scribe)
Use case: I’m calling a patient to update them on results, clarify the story, or ask a couple quick questions about their medical condition.
What Dialer gives you: A way to protect your private line and set a caller ID number patients will actually pick up.
Where Scribe fits in: If you’re doing a Dialer Voice or Video call, you can turn on Scribe during the call to capture the conversation and generate a note afterward. Your scribe note then lives in your Doximity account and can be copied into the EHR. This lets you go to call → document → paste without switching tools.
6) “When I need a fax number to receive a cath report from an outside hospital…” (Fax)
Use case: It’s 2026 and we’re still faxing.
What Doximity gives you: A free fax number for receiving faxes (so you’re not begging the unit clerk or chasing a machine).
7) “When I have to present at morning report…”
Use case: I need a crisp differential and a few high-yield teaching points, not a dissertation.
What DoxGPT is good for: Conclusions first and tables for scannable comparisons (ddx buckets, guideline criteria, treatment pathways).
8) “When I have a niche question about pulmonary embolism management…”
Use case: This is where most tools hallucinate or hand-wave.
How I use DoxGPT:
I ask the question, then I immediately click into the citations and read the source if it’s going to change what I do.
This is also where PeerCheck matters. PeerCheck is a physician-led initiative designed to bring peer review into DoxGPT, providing an actual framework for physician oversight.
9) “When I’m on sick call covering a brand-new list…” (Templates)
Use case: I get pulled into coverage on short notice, and I’m inheriting patients I’ve never met. I need situational awareness in minutes, not hours.
How I use DoxGPT:
I use the Templates feature to save a standing “coverage prompt.”
I paste in the most relevant note thread/handoff/recent documentation and ask for:
a succinct one-liner
a brief hospital course summary
important last-48-hour events
a short list of coverage to-dos (what might break overnight, what labs/imaging are pending, what needs to be followed up)
Then I reuse that same template across each patient so the output is consistent and skimmable.
10) “When I’m discharging a patient…” (Patient-friendly course + warm PCP handoff)
Use case: Discharge is the highest-risk window, and our communication is usually the weakest. Patients leave with jargon. PCPs get the story too late.
How I use DoxGPT:
I take my physician-facing discharge summary and generate two outputs:
a patient-friendly hospital course (plain language, clear narrative, what to watch for)
a warm PCP handoff letter (one page, action items, med changes with rationale, pending studies)
This takes under a minute, but it changes the post-discharge conversation completely.
If you want the full breakdown of this workflow, I wrote it up here: AI-Powered Discharge: Transforming Patient & PCP Handoffs.
That’s the workflow. One platform, fewer tabs, and a physician community built in.
Dashevsky’s Dissection
Doximity’s Physician Toolkit is changing the 1,000 tiny moments that make medicine feel harder than it needs to be.
Impact on patients
Most patients never see the hidden work that goes into “a simple plan.” They just experience the output: delays, confusion, and a discharge summary written in a different language.
If DoxGPT helps us physicians move faster without cutting corners—cleaner med lists, better handoffs, more consistent patient-facing education—that’s a real patient benefit. However, if clinicians start outsourcing judgment, patients lose. The tool has to stay what it is: decision support, not decision making.
Impact on physicians
This is where I’ve felt the value most: DoxGPT is giving me some time back.
When I’m covering a brand-new list or admitting a complex patient, I’m not using it to “be right.” I’m using it to get oriented faster: one-liner, recent course, 48-hour events, what I need to do next.
And when I’m stuck on a niche clinical question, the value isn’t the answer—it’s the ability to sanity-check quickly, then click into the citation and read the source if it matters.
Impact on hospitals and health systems
At a system level, tools like DoxGPT are basically an attempt to reduce two expensive forms of waste:
Time waste: physician minutes spent reformatting charts, re-deriving context, and hunting for basics that should be obvious.
Communication waste: handoffs, discharges, and transitions that fail because the story isn’t clear.
If you’re a health system leader, the ROI story is not “AI writes notes.” Rather, it’s fewer dropped balls during transitions, less duplicated work, faster decisions, and clinicians who feel slightly less buried.
But none of this works without trust.
That’s why I’m watching PeerCheck closely. If Doximity can actually bring a peer-review mindset into AI outputs—accuracy, evidence strength, and bias—that’s the direction this entire space needs to move.
In summary, DoxGPT works because it directly addresses the three truths we’re all living right now: medical research is proliferating and we’re expected to keep up, patients are living longer with more complex conditions, and demand keeps rising while supply stays flat. It meets physicians where we already are—inside a trusted platform—and reduces the repetitive, high-friction moments that slow us down every day. It’s trying to give us back the time and clarity to exercise it. If Doximity can maintain rigorous oversight through initiatives like PeerCheck and keep iterating on workflow integration, this will become the standard for how AI actually helps clinicians practice better medicine.
About this post: This is a partnered deep dive with Doximity. The framework and conclusions, however, are my own. As a reminder, I only partner with companies solving real problems I'd write about anyway, and Doximity’s approach to building physician tools fits that bar. As always, my goal is to give you a transparent breakdown of what works, what doesn't, and why it matters for patients, physicians, and the health system. If you or your company would be interested in a partnership like this, click here.
