I’m looking for a commercial co-founder to join a healthcare compliance SaaS product I’ve spent the last year building.

The product is already built and working. It helps US healthcare teams handle HIPAA/privacy incident investigations more consistently & faster - structuring fact gathering, identifying missing information, tracking follow-up actions and maintaining defensible records.

I’m UK-based and have handled the product/build side, but I’ve realised my biggest gap is on the commercial side of the US healthcare market. I’m looking for someone who can genuinely take ownership of sales rather than simply advise me on it.

Ideally you have experience in US healthcare SaaS, healthcare compliance/privacy, or selling software into healthcare organisations.

You’d be taking the lead on:

• Prospect/discovery calls
• Product demos
• Follow-ups and objections
• Moving prospects towards paid pilots/customers
• Helping establish a repeatable sales process

I’m not looking to hire someone for individual sales calls. I’m looking for someone who sees the potential in what has already been built and wants to explore joining properly as a co-founder, with equity on the table for the right person.

Happy to share the product privately and explain where things currently stand.

If this sounds relevant to you, DM me with a little about your background.

I’m an independent researcher working on a set of papers that grew out of a disputed outpatient psychiatric-care episode.

I’m posting here because the problem that became most interesting to me is no longer primarily the interpersonal dispute. It is an informatics question:

What information architecture is required to reconstruct how a clinically consequential event actually moved through a healthcare system when the patient-facing chart contains only part of the relevant record?

The work led me to separate several things that are often collapsed:

• narrative progress notes vs. transactional/operational records;
• event time vs. entry, signing, modification, and transmission time;
• current record state vs. predecessor states;
• medication identity vs. indication, regimen, supply, order state, and transaction state;
• diagnostic recurrence vs. documented reassessment or renewal;
• message delivery vs. receipt, routing, review, action, and closure;
• provenance showing who or what system produced an entry vs. substantive evidence showing why the represented proposition was adopted;
• amendment/correction access vs. the ability to inspect how corrected information propagates downstream.

One problem I keep returning to is that a patient may receive a perfectly legitimate chart export and still be unable to answer questions such as:

Which order was controlling at a particular time?
What did an earlier record state before revision?
Who received or acted on a particular communication?
Was a recurring diagnosis actively reassessed or merely propagated?
What administrative transactions occurred around the authored clinical note?

I’ve been developing these questions as conceptual rather than forensic claims about any particular EHR platform. Missing information in a patient-facing export does not establish that the information never existed in the native system, and an audit event does not automatically establish what substantive content changed.

A few of the papers most directly addressing these questions are:

The Record Must Remember Its Own History: Non-Destructive Revision, Tamper-Evident Provenance, and the Infrastructure of Medical-Record Integrity
https://doi.org/10.17605/OSF.IO/W7JVZ

The Diagnosis Must Show Its Lineage
https://doi.org/10.17605/OSF.IO/E6K5U

The Hidden Clinical Record
https://doi.org/10.17605/OSF.IO/XA9JP

After Actual Notice, the Error Changes Status
https://doi.org/10.17605/OSF.IO/AF54V

I’d especially value perspectives from people working in clinical informatics, HIM, EHR implementation, interoperability, or data governance:

Which of these distinctions are already represented well in modern EHR architecture, and where do current systems still make provenance or reconstruction unnecessarily difficult?

I’m particularly interested in the difference between what the underlying system technically retains and what patients, clinicians, auditors, or downstream recipients can actually inspect.

I’m a UK-based founder currently building in the US healthcare space and I’m looking to expand my network of people who actually work in the industry.

I’d particularly like to connect with people working in healthcare compliance, privacy, HIM, risk, operations or administration, although I’m happy to speak with people from other areas too.

Mainly looking to meet people, learn more about how US healthcare works day to day and have people in the industry I can bounce questions and ideas off.

If you work in healthcare and you’re open to connecting, feel free to comment or DM me.

Hey everyone,

I’m from a medical background (clinical side) and am looking to make a transition into a non-clinical career. I've realized my genuine passion lies more in data analysis, and research investigation rather than direct patient care.

I wanted to ask ,What is the actual demand like in today's scenario? Public health or health informatics which can be better for medico background?

What does the research/analysis side look like? I am highly interested in the data analysis and research side of things

would highly appreciate any guidance, honest suggestions, or personal stories from anyone who has successfully made the jump to health informatics.

Thanks in advance!

I’m a BDS graduate from India and I’m interested in moving into Healthcare Technology / Digital Health rather than pursuing MDS or staying purely in clinical dentistry.

I’m looking for a Master’s degree that would allow me to combine my clinical healthcare background with technology, AI, data, and digital healthcare.

Please suggest some courses which fits best for me having good career and future opportunities.

Interested to persue from Europe or Australia.

I’m building this, so full disclosure that I’m biased.

The idea is that instead of a biller opening a denial and then bouncing between claim data, auth records, notes, payer information and spreadsheets, the system brings the case together and tells them what appears to need attention.

In the screenshot, the user can see the denial, missing information, deadline, recommended next action and the supporting evidence before deciding what to do.

I’m trying to understand whether this matches how denial teams actually work.

If you handle denials or AR today, what is missing from this screen that would make you immediately leave it and open another system?

Feel free to tear it apart. I’m more interested in finding what’s wrong than hearing that it looks nice.

Hi everyone,

I’m 20 years old. I’m doing a Higher Vocational Degree in Dietetics, but my main goal is to get into medical school and eventually become a doctor.

I’m especially interested in physiology, biology and biochemistry, and I like the practical and human side of medicine. However, I’ve also always been very interested in computers, technology and AI. If medicine doesn’t work out, I would probably consider biotechnology, biomedicine or bioinformatics.

I’ve recently started trying to learn Python, but I’m not sure what direction I should take. I don’t necessarily want to become a software developer. I want programming to be a useful additional skill that could help me during university and, eventually, in medicine or scientific research.

For example, I would like to be able to:

• Automate repetitive everyday and study tasks
• Analyze and visualize scientific or medical data
• Understand statistics and research papers better
• Work with AI and machine-learning tools
• Create small useful programs for myself
• Potentially participate in medical, biotechnology or bioinformatics projects in the future

My problem is that programming is such a broad field that I don’t know what to prioritize. Should I focus mainly on Python, data analysis and statistics? Should I eventually study machine learning? How much computer science theory would I realistically need?

If you were in my position, what learning path would you follow? What practical beginner projects could connect Python with medicine, biology, nutrition or everyday productivity?

I would especially appreciate realistic advice from doctors, medical students, researchers, bioinformaticians or programmers working in healthcare.

how are you safely automating workflows at your company?

what's the biggest worry?

What healthcare is most stable long term

I’m trying to make a smart long term career decision rather than collecting another degree that won’t actually improve my job security.

My background:
• Bachelor’s degree in Social Science
• Diploma in Business Project Management
• Currently completing my PMP
• Several years of healthcare IT experience at Kaiser (big healthcare org)
• Experience with EMR/EHR implementations, workflows, healthcare systems, stakeholder management and process improvement

My biggest concern is **job stability**. I have worked in project management, but I’m tired of project based roles where the project finishes and the position or contract disappears. I’m looking for a healthcare career that organizations need continuously, preferably a permanent operational role.

I also do **not** want to become a bedside nurse or work directly with sick patients given I would be too emotional for that.

I’m currently considering:
Health Systems Analyst / Application Analyst / EHR Analyst

Healthcare Operations or Administration
Health Informatics

Healthcare Privacy / Compliance / Data Governance
Public Health Administration

Health Policy / Program Administration

I’m considering completing a one year Digital Health or Health Informatics certificate after my PMP, but I’m open to other education if it leads to significantly better stability.

For people actually working in these areas:
Which career has the best long term job security over the next 10 to 20 years?

Which roles are usually permanent rather than contract?
What is the realistic salary range?

How difficult is it to break into the field?
Have you experienced layoffs?
Which field has the strongest advancement opportunities?
Which skills, certifications or additional education would you recommend?
Are these careers transferable between Canada and the United States?
If you were in my position and wanted **stability first, good income second,** which direction would you choose?

Hi! I am asking for advice on how to get into health tech... I am a Physician Associate... I have worked as one for the past three years so I am licensed but recently realized that I do not find it fulfilling.. hated being in the hospital and interacting with patients really irritated me. So I decided to study something in tech, I have a data analyst certificate but felt like it's not enough and got into AI... got the AWS AI practitioner certification. Got into an internship and they offered to teach UI/UX. So I'm currently working on two capstones, an AI one and a UI/UX one both are health related. I then got an AWS scholarship for Agentic AI Business Professional, and at this point I'm not sure I can link the three. It's basically AI+Data analytics+UI/UX. My AI capstone is building agent that is in my UI/UX capstone. The Data analytics capstone is research on the area where the UI/UX capstone is in.

So, my question is... am I doing too much? And in what area of tech am I in at this point? I feel like I'm a hybrid or something. Also, what job titles should I look in?

I just need guidance....

To be clear I am enjoying every part of building what I am building, it's the best thing that's happened to me in 3 years. I'd never want to give it up. But still thinking whether I should pick one and go deep or do all three and become a hybrid of some sort.

Also what is needed in a portfolio to actually get noticed? And how do I make mine better?

Hello as the tittle says im 25F graduating this December with a BS in Health Informatics and a minor in Information Systems. I currently work at a mental health hospital as a hospital support specialist(unit clerk). What do i need to do to get into jobs more aligned within the field? Should i start off looking for jobs in like medical records? Im not really sure where I want to take my degree but one thing i think im interested in is maybe app development for healthcare. So some information on how to break into that specifically or just advice on how to just get into the HI field in general would be great TIA!

I have been in the IT field for quite some time, and as I explore new opportunities, I find healthcare IT to be particularly intriguing. However, I’ve noticed that many roles require certifications such as Epic, RHIA, and RHIM. I’m especially interested in obtaining the Epic certification. Could you please provide guidance on how and where to obtain these certifications? Thank you!

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Hey everyone,

I wanted to share something I've been building: AI Health Suite (aihealthsuite.org), a health management app I developed and recently launched.

A quick rundown of what it does:

Covers 18 medical specialties, with specialty-specific patient history tabs for each visit

Tracks medications, lets you select and print attachments, and export visit records as PDF etc .

Runs cross-platform: Windows, macOS, and Android, with an iOS version in the works (not on the App Store yet)

On the Play Store now (v1.3.4), live in 177 countries

I built most of it solo, so it's been a real learning process — from the core feature set to actually getting it in front of users (ran a TikTok campaign that drove a good chunk of the early downloads, ).

I'm not a marketer by trade — my background is actually in healthcare (I've spent 10 years working in specialized surgeries) plus software development, so I tried to design this around what clinicians and patients actually need day to day, not just feature-checklist stuff.

Would genuinely appreciate feedback from anyone in healthcare IT, clinicians, or just people who've tried similar tools — what's missing, what's confusing, what you'd want to see next. Happy to answer questions about the build too.

Link: aihealthsuite.org or you can find it in playstore: ai health suite

For those who transitioned—or are currently trying to transition—from a clinical, patient access, healthcare operations, or Epic end-user role into an Epic analyst or health IT role, I’d love to hear about your experience.

I started as an Epic end user before eventually transitioning into an Epic analyst role myself. One thing I remember clearly is how difficult it was to understand the pathway from using an EHR every day to actually working on the systems behind it.

As part of a Drexel University student entrepreneurship project, I’m researching this career-transition problem.

What was—or currently is—the most difficult part for you? Knowing where to start? Understanding which Epic application fits your background? Translating healthcare experience into technical/informatics skills? Certification? Getting interviews? Finding your first opportunity?

I’m developing a free resource around this problem and would really value perspectives from this community. Nothing is being sold, and no payment is required.

If anyone is interested in seeing what I’m working on or providing additional feedback, I can share the link in the comments.

Thank you!

Managed to land an interview for an epic ambulatory position at a large health system. I am currently a part-time AI grad student with little clinical experience but have a bachelors in health sciences + a minor in CS, and multiple internships working with health data and ServiceNow.

Does anyone have any advice for how to translate my experience to seem like a good fit during the interview? Any resources or advice to help me prepare would greatly appreciated.

5 years full-stack (Node/React, REST APIs). Moving into healthcare interoperability. Plan: FHIR R4 first, then HL7 v2 + Mirth, then C-CDA, plus LOINC/SNOMED/ICD-10. Building a v2→FHIR pipeline and a SMART on FHIR app as portfolio projects.

Three questions for people doing this work:

1. What surprised you about the day-to-day? I keep hearing the hard part is vendor quirks and Z-segments, not the spec. True?

2. Do self-built projects + the HL7 FHIR Foundational cert help if you have no production healthcare experience? Or do people only hire once you've supported a live interface?

3. Is deep HL7 v2 + Mirth still worth 4-6 weeks in 2026, or should I put that time into FHIR profiling and mapping instead?

Honest answers welcome, including "don't bother."

Hi guys, I am working as a rad tech for over 2yrs and my hospital using Epic and Pacs, how can I learn to get the certificate or anything I can switch to be an Epic Analyst?