How Co-Chat relieves daily administrative tasks

Every GP knows it: a consultation ends, but the referral letter still needs to be written. In the evening, when the last patient has gone home, the work often just begins.

Dr. Bram Spinnewijn, a GP in a multidisciplinary group practice, turned that scenario around. With Co-Chat, he writes referral letters during the consultation itself. “Once the consultation is finished, I can close it without a to-do list.”

Standard prompts for recurring situations

Bram works with a number of custom prompts (instructions you give to an AI assistant) in Co-Chat: letters to the primary care psychologist, the occupational physician for full or partial incapacity, summarizing patient files, and more.

The process is always the same: upload the file, briefly provide the question and context, and Co-Chat writes a structured response based on the data in the file.

GDPR compliance is a must for Bram: “I don’t dare put any medical data on ChatGPT.” Co-Chat solves this: the data is processed within Co-Medic’s practice environment, so the data never leaves the practice.

The complete picture

Co-Chat searches the entire file and retrieves relevant information that you may have forgotten yourself. In a letter for the advisory physician, Co-Chat found a burglary that was recorded in the journal months earlier. “At that moment I had already forgotten about it, it had passed some time ago. But it had a big impact on that patient. Co-Chat finds that relevant context.”

Every piece of data used to build the response is traceable: Co-Chat mentions the exact date, the source, and who wrote it. Doubt an answer? With one click you’re in the original report.

Live demo: answering a letter from the health insurer

During the interview, Bram shows it live. In his mailbox is a letter from a health insurer: a patient has submitted two physiotherapy requests and the advisory physician wants to know why. Bram uploads the file, uploads the letter, and types: “Answer this letter.”

Co-Chat analyzes, finds two different conditions (supraspinatus tendinitis and patellar tendinitis), and clearly formulates the justification. “Ctrl-P, print, and the letter is sent. In the past, I spent more time on that.”

Smarter referrals

For the primary care psychologist, Bram goes a step further. With Co-Chat, he automatically gathers the different life domains: work, family, finances, hobbies, living situation. Information that is scattered throughout the patient file. Through targeted questioning, all this data is collected in a clear referral letter.

This way, the primary care psychologist receives not only the reason for referral but immediately a complete picture. By getting a clear view of the patient, many sessions are already saved.

Synergy with speech-to-text

Bram sees how Co-Chat responds better as his files become more complete. Through medical note-takers (Squire), consultation notes now contain much more detail. Co-Chat incorporates all these details when formulating a response.

“It’s precisely that ‘and-and-and’ that creates better results,” he summarizes. Better registration, smarter processing, and consequently time savings for the entire care chain.

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Watch the full conversation below.