Part 3: A Patient Story: One Text to Remi. No ED Visit.

We captured Dan’s full COA session in three short clips. Watch them below — and if you’re thinking about what this could look like for your patient population, reach out. We’d love to talk.

Let’s meet Jane.

Jane is 73 years old. She was diagnosed with stage 3 triple negative breast cancer six weeks ago, had a lumpectomy, and is now four days into her adjuvant chemotherapy — Dose-Dense AC-Taxol. What makes Jane’s situation particularly high stakes is that she’s living with diabetes. Her most recent A1C was 9.9, which means she’s at risk for poor wound healing and infection. On top of that, her counts are dropping. She’s about to be neutropenic.

For a little extra context: Jane lives 45 minutes from her closest ED. There’s a flu outbreak happening in her community. She has her husband at home for support. And while she loves texting — especially with her grandkids — the patient portal is not usually her thing.

On Thursday evening, 72 hours after her infusion, Jane notices redness and swelling around her incision site.

This is the moment. This is the moment the existing care system has a gap — and where that gap can cost someone their curative intent treatment plan.

Luckily for Jane, she was enrolled in Reimagine Care and had been introduced to Remi at the start of her treatment. So instead of calling the practice and leaving a message, instead of turning to Dr. Google and trying to triage herself, she sends a text to Remi. And the conversation begins.

What Remi does first: Before anything else, Remi checks for anything requiring emergent escalation — to 911 or to a clinical team member. Once that’s clear, the triage begins.

Remi asks thoughtful questions, phrased for quick and simple responses — but it’s not rigid. This is where agentic AI is really powerful. It understands and interprets the intent behind every patient interaction. It knows when a photo would help with triage, so it asks Jane to share one. With help from her husband, Jane gets the photo uploaded. Remi gathers it and passes it to the care team — but doesn’t wait on it. It keeps the conversation moving, drilling down, building a complete picture of where Jane is in that moment.

One final question — what has Jane already tried? What has she done so far? Then Remi closes the loop: letting Jane know the care team will be notified and will be in contact very quickly, while giving her a few things to watch for in the meantime.

That entire interaction took 6 minutes. Not a single human was involved.

On the back end, Remi does something equally important: it summarizes the entire interaction, pulls context from Jane’s chart, and surfaces everything the care team needs the moment they take over. When Brittany, one of Reimagine Care’s nurses, picks up the conversation, she doesn’t have to sort back through the entire chart. She doesn’t have to log into the EMR. She has everything at her fingertips — an AI-generated summary and a clear picture of what’s happening with Jane right now.

Here’s how the full timeline played out:

8:35pm — Jane texts Remi. Automated triage begins.

8:41pm — Brittany, RN, takes over the conversation via text, gathering additional information and vitals.

8:45pm — Jane shares her temperature and blood pressure.

8:50pm — Sarah, APN, begins a video visit with Jane.

9:00pm — Because Remi and Sarah both have access to Jane’s chart — and know about her penicillin allergy — the right antibiotic prescription is sent to her local pharmacy.

Total time from first text to prescription: 35 minutes.

But it didn’t end there. Over the next couple of mornings, Remi and Brittany checked in to make sure Jane was on the right path. By Saturday, the redness had reduced.

No ED visit. No 45-minute drive through a flu-outbreak community with dropping counts. No gap in care.

This is the power of agentic AI in the care journey — there within seconds, supporting the entire triage process, and catching the moments that matter before they become emergencies.

Jane’s story isn’t the exception. It’s the model.

If you’re thinking of better options to support your patients between visits, let’s chat.

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