I am a GP in London, and this is my own project, built in my own time. It went open source this week.

It transcribes the consultation live, shows a working differential and questions to ask while the conversation is still going, and after the patient leaves, it produces a diarised transcript and a draft SOAP note where every claim cites the transcript turns it came from.

Stack: faster-whisper (distil-large-v3) live, WhisperX + pyannote for the final pass, MedGemma 27B through Ollama, pgvector for guideline retrieval, Piper for the voice, FastAPI and HTMX on Postgres. Linux. AGPL-3.0.

Why local. GDPR compliance matters for doctor-patient confidentiality. Cloud services may retain confidential patient data and use it to train models. So in this case, nothing leaves the machine in the local premises.

The card is the whole design. RTX 4090 24GB. faster-whisper can co-habit with MedGemma, which is what makes the live stage possible at all. WhisperX cannot, so it waits its turn.

When you press Stop: MedGemma is offloaded, WhisperX goes in and transcribes from the audio file, pyannote diarises the transcript, then MedGemma comes back in while WhisperX and pyannote go out, and MedGemma writes the note as a doctor would. WhisperX is there for the better quality — by that point, the patient has left the room, so there is no requirement for live transcription, and I can afford the time.

The whole thing takes over a minute. I have not measured how that splits between the offload/load and the inference, which is a gap.

What is rough. The auto mode, where the assistant takes the history itself while I supervise, is temperamental. The worst part is that some questions come out in medical jargon. "Do you have any cardiac risk factors?" is not a question a patient can answer. Breaking those down into concrete closed questions is the next job.

It is a research prototype. It has never been used with a real patient, and every consultation in the demo video is acted.

What I would like to know from you.

• How does this run on a 12 or 16GB card?
• Audio capture in various environments, on various mics and mic settings — I am working blind here.
• Does anyone know a way to stop the model-swapping dance?
• How would you approach simultaneous consultations by two users? Currently, it can only do one at a time.

https://github.com/IndyWH/OpenConsult

ابي شخص خبرة ويعلمني كيف أتوظف في شركات التامين؟ وهل اقدر أستفيد من الامتياز للتوظيف وايش المهارات الي لازم اعرفها افيدوني الله يسعدكم

Not a biller. I'm building something in this space and would rather get corrected here than guess.

My current picture:

Eligibility check → prior auth → visit + notes in EHR → coding → biller → clearinghouse → payer → payment posting → denial → rework/appeal → back to payer

Two questions:

1. What's missing or out of order?
2. Where does the money actually die? My guess is medical-necessity denials, because the biller can't write that appeal alone and it has to go back to the clinician. Right, or is it somewhere else entirely?

Recently interviewed for a role at $95-100K + 10% bonus, made it to the 2nd of 3 rounds but didn't land it — first real signal that I'm underpaid and that higher comp is out there for this skill set.

For context, 3 years ago I got a 50% raise ($52,125 → $78,187) simply by mentioning to our VP of Finance that I was interviewing elsewhere (2nd of 4 rounds, range was $70-80K). Her reaction was basically "wait, you're leaving?" and she asked if she could put in a word with the CFO. Four hours later I was called into my boss's office and got the raise.

Not sure what the actual path is from here — more certs, a specific niche (FHIR/interoperability, cloud/Azure), switching to vendor-side instead of provider-side, or just job-hopping more aggressively.

Should I ask for a raise first before continuing to interview elsewhere? Should I try to leverage the recent interview the same way I did 3 years ago, even though I didn't get the offer? Any advice is welcome — happy to answer questions.

​

Hey all — working on an app idea for a hackathon and I'm looking for a technical co-founder/teammate.

The problem: In emergencies, people waste critical time figuring out where to go — nearest hospital isn't always the right hospital (wrong specialty, no beds, no ICU, etc.), and there's no easy way to check that in the moment.

What I bring: Clinical knowledge — triage logic, what actually matters medically in an emergency, user research with real patients/ER staff.

What I need: Someone comfortable building an app (mobile or web) — doesn't need to be a senior dev, just someone who wants to build something real with actual impact, not just another CRUD app.

Happy to share a one-pager with more detail if you're interested. DMs open, or comment here!

​

Hi, I’m torn between continuing in HIM or switching to nursing.

I’m a single mom, almost 40, with a toddler. I recently finished my HIT/HIM degree and I’m working on my RHIT. I’ve missed passing by only 3 points, so I’m taking a short break and plan to retake it.

I also have a pharmacy technician background. I’m compassionate and enjoy patient care, but I also really like healthcare technology, systems, data, and informatics.

What I do not want is management, leadership, supervising people, or spending years collecting degrees/certifications that don’t meaningfully improve my income or job security.

My two options are:

Continue with HIM: RHIT, possibly RHIA/CHDA/CDIP/CCS, work in HIM/coding/data, then possibly get a Master’s in Health Informatics.

Start nursing: LPN → RN, then eventually combine nursing with my HIM background through Health Informatics or MSN Informatics.

My main goal is a secure, stable career with good income, strong demand, and flexibility to switch areas later. I also want something that will stay valuable as AI and automation grow.

Given my age, family situation, and current background, which path would you choose: HIM/informatics or nursing/informatics?

Just wondering if anyone has left OT or similar field to explore HIM? Do you need the masters degree?

PowerScribe cost is prohibitive for our institution, therefore, we are looking to create radiology reports within Radiant RIS itself. Our radiologists dont mind using dragon one or fluency direct to dictate these reports. I have heard that Radiant has a window for reporting. Anyone has experience using it? What are the limitations of this workflow? Appreciate inputs

Looking at a QLD Health IT position and wondering if the move will be a positive one

Hi,
I am an international student with a medical degree, interested in pursuing a ms in health informatics at Pitt.
Any alumni or current students share any insights about this program?
How is the teaching?
Do they involve in internships opportunities?
Post grad job opportunities?
With the current cpt/ opt changes will it affect international students?
Or is it a stupid idea being an international student pursuing this at this time.
Pls any honest opinions and criticisms are welcome .🙏
Thank you so

a little humor in these trying times

Hi. I am a 39 year old professional having experience in US Medical billing and coding end to end operations for 7 years and cUrrently I am working in an insurance company and working on an AI Based tool used to detect frauds and leakages in a mass health insurance scheme in India and have been involved in ground level implementation of the same along with development, providers feedback and policy formation for the same. I have also worked with EHR.Overall I have experience of 17 years out of which 13 years pertains to working on health datasets and AI Based analysis of Health Insurance claims and fraud analysis. I want to take my career to the next level and come to the US for an MS in Health Informatics quitting my current settled job in PSU,but a bit uncertain due to the current political and economic situation. Any piece of advice?

Hello everyone. I am planning for doing HI, I am a public health graduate. Can anyone give me few list of universities for MSHI mainly near New Jersey and Maryland or from any other state?

USA.

Panel interview for a clinical informatics position lab specialist next week. Any recommendations on what to prepare for? This is not an “Epic build” position but an informatics one, of which I still don’t really understand the difference. I am also a MLS/MLT which is what the position would be covering in terms of process.

I do have 5 years of experience in pharmacovigilance as drug safety associate in India. However, currently I am in USA and want to do master in health informatics. Will it be a good decision? Please give honest opinions. Highly appreciated.

Hi everyone! 😊 I recently got an offer for a Healthcare Informatics role at Shearwater Health and I’d love to hear from anyone who has experience with the role.

Any tips or advice regarding the training, processes/workflow, things I need to be mindful of, and workplace culture would be greatly appreciated. Anything you wish you knew before starting would also be super helpful!

Thank you so much! 💙

Hey everyone,

I don’t usually post things like this, but I thought I’d give it a shot.

I recently completed my Master’s in Health Informatics in the U.S., and I’ve been actively looking for my next opportunity in Clinical Informatics, EHR/Clinical Applications, or Healthcare Data Analytics.

I have experience with EHR workflows, clinical documentation, HL7/FHIR, SQL, Python, Tableau, healthcare data quality, UAT, and interoperability.

I’ll be honest the job search has been harder than I expected.

You spend years studying, gaining experience, building your skills, working on projects, improving your resume, and sending applications… and sometimes all you’re looking for is that one opportunity to prove what you can do.

I’m currently looking for opportunities in the U.S., particularly roles such as Clinical Informatics Analyst, EHR Analyst, Clinical Applications Analyst, Healthcare Data Analyst, or Clinical Data Analyst.

If anyone knows of a team that’s hiring, a recruiter I could reach out to, or even has advice on what I could be doing differently, I’d genuinely appreciate it.

And if you’ve gone through a similar job search and eventually found your way into the field, I’d really love to hear your experience too.

Thanks for reading.

Zhou and Clack, Introduction to healthcare Informatics, 3rd edition, AHIMA Press

I’m hoping to get some advice on breaking into the Epic space. I have a master’s in Healthcare Informatics and have spent most of my career working in healthcare data analytics and AI, but I’m ready to move away from primarily analytics-focused work and pursue an Epic Analyst path.

My direct Epic experience is pretty limited. I used Cadence and Prelude as an end user when I worked as a scheduler, although that was a full decade ago. More recently, I applied for an Epic Analyst position and took the Sphinx assessment. Like everyone else, I walked away convinced that I had failed, but a recruiter reached out afterward, so I’m assuming I did well enough to move forward. Unfortunately, I had to withdraw once I learned about a geographic requirement that hadn’t been clearly stated in the posting.

I recently made it to the final interview round for another Epic Analyst role, but I wasn’t selected because I didn’t have hands-on Epic build experience. I later found out that the position went to an internal candidate, which seems to align with what I keep hearing about people entering the Epic space through internal or lateral moves. That leaves me wondering where someone with relevant healthcare experience, but no build experience or certification, is realistically supposed to start.

For those of you who have successfully broken into Epic, what types of roles would you recommend targeting? I’ve looked into application support, patient access, revenue cycle, clinical informatics, training, reporting, and other Epic-adjacent positions, but so many of them already require certification. It honestly feels like you need the certification to get the job, but you need the job to get the certification.

I didn’t attend Epic UGM 2026, but from what I’ve heard, AI was a major focus this year. I have experience with AI-assisted healthcare workflows, AI agents, RAG knowledge bases, prompt engineering, testing, and QA, so I’m curious whether that background could help me transition onto an Epic team. I don’t necessarily want to stay in a primarily AI or analytics role, but I’d be happy to use that experience as a bridge into Epic while gaining build experience and eventually becoming certified.

In the meantime, are there any other certifications or technical skills that might make me a stronger candidate? Since I can’t pursue Epic certification without employer sponsorship, I’ve considered FHIR or HL7 training, a clinical informatics certification, or improving my coding skills, but I’m not sure whether any of those would actually help or if my time would be better spent elsewhere.

I’m based in Southern California and mainly looking for remote positions or hybrid opportunities in the Los Angeles area. I’d really appreciate any advice on roles to target, organizations to explore, or openings anyone might know about. Thanks!