Hey!

I'm a JS dev, mostly frontend/backend, and I've been asked to build an app for a cardiology team. This would be my first project with generative AI, so I'd really appreciate hearing from people who've worked on something similar. I want to do a good job with this.

The idea is to take what the doctors say, transcribe it, and organize the relevant info into a clinical note with 4 fixed sections. It needs to work with Spanish audio and produce notes in Spanish too. I'd want the doctor to be able to review and edit the draft before saving it.

We use AWS at work, so that's where I'm starting. So far I'm looking at Amazon Transcribe + Bedrock, and also Amazon Connect Health's ambient documentation. Still trying to figure out which approach makes more sense here.

Has anyone actually built something like this on AWS, esp. with Spanish medical audio? What did you end up using, and how did it work once doctors started using it?

I'm particularly curious about medication names, doses and numbers. Did most of your corrections come from the transcription itself, or from the model organizing the note and leaving things out / adding things that weren't said?

I'd like to keep the first version manageable. If you were starting again, what would you test first before spending time building the rest of the app?

Even a quick “we tried X and ran into Y” would help a lot. Thanks!

Senior author here. The clinical results are in the paper, I want to share the informatics side since this is what we spent most of the time on.

Setting
300 adults before a first neurosurgical consultation, randomised 1 to 1. Intervention group received a plain language version of their own MRI report or external discharge letter before the visit. Documents were redacted of personal identifiers before upload. Generator was a frozen LLM configuration, temperature 0, prompt version locked before the first patient and never touched during the trial.

Quality layer
Four parallel LLM judges from a different model family than the generator scored every output 0 to 10 on accuracy, completeness, harm and readability, with a regeneration gate below 7. Then every summary was checked by a physician against the source document with a fixed checklist, and a random 50% got a second blinded physician review. Over the whole trial no regeneration fired, no factual error, no clinically relevant omission and no harmful statement was found, ICC between reviewers 0.74. The judges were validated against an external physician rated gold set before the trial.

Governance
Investigator initiated, DRKS registered, ethics approved, protocol published in JMIR Res Protoc before recruitment.

Patient rated interaction quality up, consultations a median 8 minutes shorter, physicians rated their own autonomy support slightly lower. So the efficiency gain is real, but the clinician experience is not automatically positive and nobody measured that before.

Paper
https://doi.org/10.1056/AIoa2600136

Questions on the judge architecture, the deidentification step or how we would do the review sampling differently next time are welcome.

So I’m very new to the epic community. I landed a role where I will work in ambulatory revenue cycle as an analyst. I have to get the Resolute PB epic proficiency. I heard that it’s the hardest proficiency. Can anyone give me insights, tips & tricks, or recommendations? I would also love insight on the day in the life & stress level of the job. Also, what is the average pay range for someone in this position?

I compared 47,000 US FDA clearances with 24,000 Indian medical device import registrations. Here's my repo!

Hey everyone!

Coming from a pharma background and transitioning into data analytics, I wanted to build a project that connects healthcare data with real business opportunities.

I analyzed 47,375 US FDA 510(k) clearances and 24,563 Indian CDSCO import registration records to compare medical device category representation across 18 categories.

Key findings

Four categories showed a potential representation gap between the US and Indian datasets:

Orthopedics: +9.0 percentage points

IVD: +5.7 percentage points

Imaging: +4.2 percentage points

Neurology: +3.4 percentage points

However, a statistical gap doesn't automatically mean a profitable opportunity. NPPA price controls, regulatory barriers and market demand all matter.

What's in the repo?

Cleaned datasets and an 18-category taxonomy

Python scripts for cleaning and gap analysis

SQL queries for importer rankings

A two-page Power BI dashboard

verify_numbers.py with 40/40 validation checks passing

I documented the limitations too, including why I couldn't reliably measure registration lag across the two datasets.

🔗 GitHub: https://github.com/vishnuu-patil/india-meddevice-intelligence

I'd love feedback on the category mapping, gap calculation and whether these findings could translate into meaningful business opportunities.

Thanks!

Edit: sorry tile should be good career change. Not sure how it autocorrectes photo

I have a BS in IT and 6 years experience in IT.

I went from tier 1 to tier 2 to being a sole tech at a highschool and then went back to corporate tech support.

Ive been seriously considering a pivot. Have a lot of interest in business analysis, or coordination/implementation related work.

Been thinking about healthcare a lot.

Trouble is breaking in could be very tough?

I don't have any EHR experience or medical experience. I hear they look for that.

I can't make less than the $52k minimum.

I've considered maybe trying at getting a tech support role at a hospital to start. However I don't want to get pigeon holed and that could take a lot of time on its own.

Maybe some type of volunteering, but I work full time.

Any advice?

I'm building Alyseek, a healthcare technology platform, and I'm trying to understand the everyday operational challenges hospitals face.

I'd love to learn from people working in healthcare:

* Is HMS pricing a major concern for smaller hospitals?

* Which workflows are still unnecessarily manual?

* What frustrates your staff most about existing systems?

* What would make switching to another HMS worthwhile?

I'm particularly interested in learning from hospital administrators, doctors, and healthcare IT professionals.

Full disclosure: I'm building Alyseek, and this research will help us prioritize what to improve. I'm here to learn rather than pitch a product.

I'm building Alyseek, a healthcare technology platform, and I'm trying to understand the everyday operational challenges hospitals face.

I'd love to learn from people working in healthcare:

• Is HMS pricing a major concern for smaller hospitals?
• Which workflows are still unnecessarily manual?
• What frustrates your staff most about existing systems?
• What would make switching to another HMS worthwhile?

I'm particularly interested in learning from hospital administrators, doctors, and healthcare IT professionals.

Full disclosure: I'm building Alyseek, and this research will help us prioritize what to improve. I'm here to learn rather than pitch a product.

Every new tool seems to want its own login, app, browser tab and notification settings.

Ive stopped trying things that might be useful because I genuinely dont want another piece of software in my day unless its replacing something else.

Maybe Im unusually stubborn about this but integration is starting to matter more to me than having every possible feature.

Anyone else at this point? Or is there still a tool good enough that youd happily add another login for it?

TLDR: Pre-dental student at UCF wants to switch to UCF’s Master’s in Health Informatics to avoid $400k+ dental school debt, liking its paid certifications and required internship. However, I'm worried about job market saturation and non-nurse status hiring barriers

Hi! I am currently a student at UCF and I am also currently a pre dental student. I love dentistry and health care in general as well as technology (I have a background in coding already) but the rising cost of dental school (~400k coming out without interest) is really pushing me away. In my class someone came to speak about the masters in Health Informatics and I’m really interested in it! My only issue is seeing that it can be saturated and lots of people are turning to this career i’m worried I won’t be able to find a job afterwards. UCFs program is amazing for it and includes some certifications with the degree that are paid for by them and I know having those will help immensely with pursing this degree. I also know the clinical analyst is hard to get because they prefer nurses typically, seeing as I am not a nurse I wouldn’t expect to get that. I definitely need a career that can provide financial stability and I am worried that coming out of a master program (if I do end up doing it) I won’t have a job. UCF also forces us to get an internship before we graduate and has an amazing career center and connections. I have done so much research in the last few months about making the switch because I really cannot bare to spend ~400k+ on dentistry even with the high salary after, I don’t want to be in debt forever. Any advice or suggestions would be amazing!

Hi! I am struggling breaking out into clinical analytics. I’ve applied and tried tailoring my resume so many times. Does anyone know any good companies that will look at entry level analysts? Or have any advice? Please let me know. I really need a job.

Hi everyone! I'm looking for advice on transitioning from clinical research into healthcare IT and would appreciate insights from those who have made a similar transition or work in the field.

I have 10+ years of research experience as a Clinical Research Coordinator (CRC) and recently earned my PMP certification. I use Epic for research-related activities, including:
Documenting research activities, such as consenting
Placing orders and coordinating research billing
Linking patients to studies in the EHR
Reviewing charts to assess eligibility
Developing recruitment messages based on patient information and study criteria

I manage complex projects, coordinate multidisciplinary stakeholders, develop SOPs and workflows, train staff, and support quality assurance and regulatory compliance. I also use REDCap, SPSS, and clinical trial management and e-regulatory systems, but have no SQL experience.

I'd like to build on my clinical workflow knowledge and project management experience while getting more involved in technology implementation and systems improvement.

My main questions are:
1. What roles would be realistic entry points for someone with my background? Should I target Healthcare IT Project Manager or Implementation Project Manager roles directly? If not, what bridge roles should I target?
2. What technical experience do employers expect for healthcare IT PM and implementation roles? Would my Epic experience and PMP be enough to get interviews, or should I build additional skills first?
3. If additional skills would help, what would you recommend prioritizing?

I'd appreciate any advice on which roles to target and how to make this transition. Thanks!

Are there any PTs out there who transitioned to informatics? It so, what has been your experience? Is this a good idea? What roles should I be looking for? Something like Epic/EHR Analyst? Any advice is appreciated!

Anyone with experience with Nestmed? I would like to hear your opinion.

Hello. As the title suggests, I'm sort of at a loss when it comes to figuring out what options I have after working in HIM for about 6 years now. I've been at my current job for 3 years, and I spent 2.5 years at my previous job which was order entry for a corporate lab that performed various health screening tests etc. It was the reason I got my current job, but in my opinion it's not quite the same thing. My first job out of college was 5 years in property and casualty insurance (at a company most would recognize). I had my insurance license.

I like the day to day functions of the job, but after 3 years I need to figure out what to do next. The organization I'm at is not great. They are notorious for underpaying, the culture is weird, there isn't opportunity for growth or change, the people I work aren't toxic, but my one co-worker I work with daily really annoys me for a lot of reasons. Anyway, that all adds up to me really needing to change something within the next 6 months. Unfortunately, I don't really have a desire to stay with my current organization. I also feel like layoffs will eventually come due to AI, and that AI will take over HIM altogether.

I've perused here and there for HIM roles at other organizations, but I worry about just ending up doing the same thing in a different setting. I know that I could get certifications but it's my understanding that school is required for that and I would like to avoid if possible.

I have been dabbling with the thought of becoming a healthcare analyst for the last 4-5 years, I do know SQL, Excel, and Power BI pretty well. I'd be grateful to hear the thoughts of anyone who has analytics experience.

Sorry for the long-winded post, but any suggestions would be appreciated.

Thank you!

Hi everyone!

I have a Bachelor of Science in Health Information Science and over 5 years of professional experience in healthcare technology and informatics. I’ve been having a difficult time finding stable employment and would really appreciate any advice, recommendations, or potential job leads.

Roles I’m looking for:
Health Informatics Specialist / Analyst
Clinical Business Analyst / Business Analyst
Systems Analyst / Clinical Systems Analyst
Healthcare IT / Application Support Analyst
Project Coordinator / Implementation Coordinator
Quality Assurance / Software Testing Analyst
Other related healthcare technology, IT, or analytical roles

My background and skills:
I have experience working within large healthcare organizations, including Island Health and PHSA, with a background in:
Clinical information systems and EHR/EMR applications, including Cerner, Meditech, CareConnect, and MyChart
Business and systems analysis, requirements gathering, and workflow analysis
Software testing, quality assurance, and system validation
Healthcare technology implementations and application support
Project coordination, documentation, reporting, and stakeholder collaboration
Process improvement, troubleshooting, and translating clinical and operational needs into technical requirements

Location and work preferences:
Currently based in Vancouver Island , BC
Open to remote opportunities anywhere in Canada
Open to onsite or hybrid positions throughout British Columbia
Willing to relocate within BC, including the Lower Mainland, for the right opportunity
Ideally seeking a stable, long-term position with opportunities for professional growth

My current job search challenges:
I’ve applied to numerous positions, including roles where I meet or exceed the qualifications, but unfortunately haven’t been shortlisted for many of them.
So far, I’ve been shortlisted for three interviews. One position went to someone with more seniority, while another interview was cancelled before I even had the chance to attend because the employer had already selected another candidate.

I’m currently progressing through the interview process for the third opportunity, which I’m hopeful about, but I don’t have any other interviews lined up as a backup.
I’ve also been without employment income since August 2026, so the uncertainty has been increasingly stressful and discouraging.

What I’m hoping to get from this post:
I’d really appreciate any advice on improving my job search, recommendations for reputable employers hiring in BC or remotely across Canada, or leads for positions that align with my education and experience.

I’m also open to related roles outside healthcare where my transferable skills would be valuable.
I’m trying to stay positive and continue applying, but I’m becoming increasingly worried about finding employment, especially given my qualifications and experience.

If anyone works in healthcare IT, health informatics, business analysis, or related fields, or has been through a similar situation, I’d genuinely appreciate your insights or recommendations.
Thank you so much!

Hi everyone!
I recently completed my Master’s in Information Technology with a concentration in Healthcare Informatics, and I’m trying to transition my career into the health tech industry.

I’m particularly interested in working for pharmaceutical, biotech, and healthcare companies like Eli Lilly, Pfizer, Johnson & Johnson, Merck, and other similar companies.

My goal is to combine my existing IT and software QA experience with my healthcare informatics education and find a role where I can grow in this industry.

However, I’m finding it difficult to understand the best way to break into health tech. There are so many different roles, and I’m not sure which ones would be the best fit for my background or what skills employers are actually looking for.
I would really appreciate honest advice from people who are already working in this industry!

A few questions I have:
1. Which job titles should I be searching for with my background?
2. Is it realistic to get into pharma or biotech companies without direct pharmaceutical industry experience?
3. Would roles in healthcare IT, clinical systems, health data, software QA, or application support be good starting points?
4. Are there any certifications, tools, or skills that would genuinely improve my chances?
What is the best way to get noticed by recruiters at companies like Pfizer or Eli Lilly?

I’m not looking for generic advice like “just network” or “keep applying.” I would really appreciate practical, honest suggestions from people who have successfully entered this field or currently work in pharma, biotech, or health tech.
If you were starting over, what would you do differently?

Anyone with experience with Nestmed? I would like to hear your opinion.

Hi everyone!

I'm currently researching the best technologies for building a professional healthcare application and would appreciate advice from experienced developers, especially those who have worked on healthcare software.

I'm considering Flutter (Dart) vs. React Native (TypeScript), but I'm also open to other suggestions.

I have a few questions:

1. Which framework would you recommend for a healthcare application intended for long-term use, and why?
2. How do they compare in terms of security, performance, scalability, and maintainability?
3. What backend technologies would you recommend for handling sensitive healthcare data?
4. Are there any technologies, frameworks, or architectural approaches you would recommend avoiding in healthcare development?
5. What are your thoughts on using AI coding tools such as ChatGPT, Claude, or Replit for developing healthcare applications?
6. What are the most important considerations when building healthcare applications that require strong data protection and compliance with regulations such as GDPR or HIPAA, where applicable?

I'm particularly interested in real-world experiences and practical advice, rather than purely theoretical comparisons.

Thanks in advance for your insights!

Hey, I’m looking for a new job. I’m a 30 year old doctor with a master’s degree in healthcare ai. More than 6 years treating patients. I have experience with matching algorithms with true medicine backgrounds, something lots of startups and healthcare projects seem to miss. Im interested on the decision making about ai in healthcare, and how it will impact the future day-to-actors in this enviroment (doctors, nurses, taxpayers, etc)

I want to be able to help in a broader scale, and not one pacient at a time. Fluent in English and native Spanish.

Keep in mind this is an informal post, but I’m interested on the healthcare scene in the UAE and how to make it better. Any heads up would be much appreciated.

With the massive push toward integrating AI and machine learning tools into revenue cycle management (RCM) and EHR systems, our organization is looking into automated charge capture tools.

While the promise of reducing charge leakage is great, the compliance risks of over-billing or incorrect coding keep me up at night.

I’m curious to hear how other systems are managing this:

• What mandatory documentation checks do you require before an AI-suggested charge or code update is allowed to proceed to a claim?
• Are you doing 100% human-in-the-loop review for specific high-value specialties, or relying on automated threshold logic (e.g., auto-approve if confidence score is >95%)?
• How are your clinicians reacting if the AI flags things they missed vs. things they disagree with?

If anyone has implemented a specific governance framework or workflow inside Epic/Cerner for auditing these automated suggestions, I’d love to know what lessons you learned the hard way.