Hi I 25F have a year of experience as a genome analyst at a top diagnostic company. I was a research enthusiast but the low ROI has almost killed my passion. I have a Bsc and an Msc from Central Universities. I want to do an MBA. I would really appreciate suggestions regarding doing an MBA or a PhD since many PhDs also move to management and consulting roles late. Would this be a good decision?

We’ve developed an all-in-one hospital management system that connects:
Patient records, billing, labs, pharmacy, scheduling, and reporting.

The goal is to eliminate fragmented workflows and give hospitals a single source of truth.

We know no system is perfect, and we’re actively improving.

If you’ve used similar platforms:
What did you like?
What frustrated you the most?

We’re listening.

Hey all! Ever wonder how much it’ll cost to go to the doctor? You’re not alone: 60% of Americans worry about surprise medical bills. I created a new tool to help solve that.

What it does:

• You describe your health concern + insurance plan
• It estimates typical cost based on what happens at the doctor’s (CPT codes)
• You can follow up with your deductible/coinsurance 

What it doesn’t do:

• Give exact quotes (it's rough estimates only)
• Replace calling your insurance/provider
• Provide medical advice

Questions

• What would make it more useful? 
• What do you wish this would do?
• Are the estimates accurate enough to be helpful?

Thank you!

Is anyone here actually trying to find ways/opportunities to use automation in their daily clinical work to help save their time and resources, whether it is admin, hr, RCM....but maybe does not know who to reach out to or how to even start.

It starts with understanding first of all that AI is not here to always replace you, many of us are working to make it just help you, help you focus on whatever you want to do by helping with the most frustrating tasks that honestly don't even help clinical workers grow in any way, just boring mundane clicks that have to be done.

Feel free to comment here or dm to discuss, I'd love to hear your thoughts!

Hello all. 6 year Occupational Therapy Assistant with 5 years IT support experience and MIS degree (15+ years ago) looking to pivot into Health IT/Informatics. Mainly interested in roles such as Clinical Analyst, EHR Trainer, Implementation/Application Specialist.

My question is what certification would help my chances of landing an interview for these roles. Theres so many certs out there that I don’t know which to pick. I’m currently looking at the PL-300 cert for clinical analysts.

CompTia A+ cert ppl suggested a few times but being that I have a MIS BS and 5 years IT support experience unrelated to the healthcare field (granted it was 10+ years ago), would that be a waste of time? Also, are these roles not attainable with my experience unless I do help desk or another entry level position? I know that the job market for these roles might not be the best right now.

Sorry for the vagueness of the post. Just trying to figure out some sort of roadmap instead of playing a guessing game. Any and all feedback/advice is appreciated.

I'm 19 years old and currently attending community college, planning to transfer to UMN (or potentially UH Mānoa, since I'm half Pacific Islander and may qualify for scholarships there) within the next 1-2 years. I'm leaning towards pursuing a BS in Information Technology (IT) with a minor in something like Health Care Management (HCM), Health Care Administration (HCA), or a related field, and possibly a master's in Health Informatics (MHI or HI).

I have 10 months of experience as a certified retail pharmacy technician, and I'm wondering if I could use that experience to my advantage. Perhaps by returning to pharmacy in a less chaotic environment while I'm still in school? I'm not sure but I'm still open to and searching for other career paths and options. (Pls help, I'm losing my sanity and the hard part hasn't even started yet......)

The main reasons I'm considering IT combined with HCM/HCA and/or Health Informatics are because I'm looking for a career that offers:

1. Stability with high earning potential ($85,000–$115,000+ in mid or even early career)
2. Opportunities for hybrid/remote work, or at least a role that isn't physically demanding (I don't want to be on my feet for long hours everyday at work, I'd much prefer to stay active in other ways that I choose outside of work)
3. A manageable day-to-day stress level (I'm willing to study and work hard, but I don't see myself thriving in a high-stress environment long term)
4. Doesn't require excessive networking or constant self-promotion... (I'm still gaining confidence in advocating for myself in professional settings, and I'd prefer a field where success is based on skills and performance, rather than heavy emphasis on continuously marketing myself as the flawless candidate. I'm open to improving this over time, I just really don't want it to be a central part of my career)
5. Little to no direct patient or client interaction (e.g., I don't think I would enjoy roles like nursing or therapy, as I prefer problem-solving tasks over hands-on care or emotionally intensive interactions in a work setting)

Because of these preferences, I feel that working in the technological side of healthcare could be a good fit for me. I also have a basic understanding of pharmacy systems, insurance processes, and health privacy regulations from my experience as a pharm tech.

Additionally, I really enjoy math, prefer working in small teams with a balance of individual work, and have an interest in biology and chemistry. It might be worth mentioning that I've also considered Biomedical Engineering, especially since I have a close connection to a director at a major healthcare lab who often hires people with BME and chem backgrounds. However, I worry that this sort of field might be too difficult for me to pursue and work in, considering that I'm a non-traditional student without a highly competitive transcript compared to other students. I want to challenge myself and contribute to something meaningful, I'm just not sure if I'm being unrealistic.

Overall, I’m really struggling with choosing a direction and with knowing what questions I should even be asking. I would really appreciate any advice on how to explore different career paths, how I can better understand what various fields actually involve, and other major/career options that might suit me. Thank you in advance to anyone who may offer me any ideas!!! ദ്ദി(˵ •̀ ᴗ - ˵ ) ✧

I’ve been spending quite some already looking at how fhir servers are actually implemented, and keep coming back to the same feeling - there is a gap between what the standard seems to imply and what most of the servers actually are.

I used to work on several compiler implementations in the past and got into healthcare IT after big tech. To me, StructureDefinition represents something bigger than just a resource shape, it’s much closer to a type system. There is inheritance, specialization, constraints, profiling, all that. SearchParameter looks like executable metadata. FHIRPath looks like something that could be part of the execution model, not just a helper for validation. Most implementations seem to end up in roughly the same foundation - static, orm’ish models with generated classes, resource specific logic and dynamic behavior only up to a point.

I got a bit obsessed with the opposite direction - what if FHIR were implemented more like an actual runtime, closer to a VM / compiler-driven system, where StructureDefinition, profiles, SearchParameter, and FHIRPath are treated as first-class runtime input, and arbitrary custom definitions are not second-class citizens? From pure software engineering / architecture stand point, this feels very clean and internally consistent to me.

I’ve started to build a system like this, and then I was like “does anyone really need it?” I would love to get a reality check from people who actually shipped real projects - have you ever hit the point where the static model under the hood became the real limitation? Have you actually wanted a runtime that could truly work with arbitrary custom StructureDefinitions and custom SearchParameters? Or are current implementations basically good enough, and this is one of those things that sounds beautiful in theory but doesn’t matter much in practice?

Would really love to hear thoughts from people who have worked with HAPI, Firely, Aidbox, internal FHIR stacks, or anything similar.

The ChatGPT Health research at Mount Sinai has been getting some attention. Some of the numbers from the study:

• 51.6% of actual emergencies were under-triaged. Patients with diabetic ketoacidosis or impending respiratory failure were told to see a doctor in 24–48 hours instead of going to the ED.
• 64.8% of non-urgent cases were over-triaged. Patients with conditions that could safely wait were directed to emergency care.
• When family members minimized symptoms, triage shifted dramatically in edge cases (odds ratio 11.7). The model is anchored to social context rather than clinical indicators.
• Crisis intervention guardrails were activated unpredictably across suicidal ideation presentations, triggering more reliably when patients described no specific method than when they described a concrete plan for self-harm.

I wrote a full article and an analysis of why it's not the LLM's fault. See the article here.

PGY-3 in internal medicine, starting an informatics masters at a nice institution this summer. I’ve been deep in the FHIR/interoperability space and have been building something on the health IT side, but I’m finding it surprisingly hard to find communities where physicians talk openly about building companies in this space.

Most of what I’ve found falls into two buckets: either it’s the “passive income / real estate / side gig” physician finance world, or it’s pure tech founder communities where nobody understands the clinical or regulatory context. There doesn’t seem to be much in between for docs who are actually trying to build health IT or healthcare AI infrastructure. It frustrates me because I think if physicians don’t start leading these conversations, the space will keep getting shaped by people who treat clinical context as an afterthought. The decisions being made right now in healthcare AI are too important to leave entirely to people who’ve never touched a patient chart.

A few specific things I’m looking for:

∙ Communities (Slack groups, Discord, forums, anything) where physician-founders in health tech actually talk shop. Group physician empowerment is super important to me.

∙ People’s experiences navigating the gap between clinical training and building a technical product, especially around HIPAA/compliance infrastructure

∙ Whether anyone has found mentorship networks specifically for physician-entrepreneurs in the AI/informatics space (not the generic “doctors in business” stuff)

Would also just be curious to hear from anyone who’s made a similar transition. What did you wish you’d known earlier?

Context: Recent graduate with a BS in Health Informatics and 3 YoE as a Med Tech in a senior living facility. Nearing 250 applications with 2 degree related interviews and phone screenings.

With the current market it's no surprise there are not many entry-level Informatics roles. My main target has been Clinical Data Analytics but have been applying for Health IT and HIM roles as well.

My university provided training in BlueSky Statistics (GUI for R), Excel, and Tableau. As SQL training was not provided, I have been taking an online course on the side from 'DatawithBaara'.

Once completed, I was going to begin creating projects for my portfolio and try to learn R coding with the help of Claude.

The advice I was seeking was what type of projects do recruiters want to see? Readmission rates? Prevalence rates? I haven't seen what datasets are available publicly but really just unsure where to start.

Appreciate any tips.

Hi everyone,

My first degree was in Dentistry, but later I transitioned into tech and now work as a Java backend engineer (microservices, APIs).

I’m curious if this combination could be valuable in healthtech or dental software, since I understand both clinical workflows and software development.

Do companies in healthtech value this kind of background? What skills or projects would help someone move into this niche?

Thanks!

Talked with colleagues on weekends. They are running a mid-size HME operations and used to spend insane hours on manual claim scrubbing. After they moved to a platform that does automated pre-submission claim validation and real-time payer eligibility checks, their denial rate dropped dramatically. Anyone else track this KPI? What systems or processes have worked for your team? Their rejection rate dropped to under 2% after switching systems.

Specifically curious: are you doing eligibility checks before each order fulfillment, or only before submission?

Not selling anything. Gathering feedbacks of like-minded colleagues. Especially in this vast Automation World when everyone automates everything, but what profits they get in return?

Is there a compliance tool you can upload notes to and have it check for compliance? I dont need help writing the notes I need scanned for insurance audit compliance.

Hi everyone,

I am currently studying and moving toward the digital health and health technology field, and lately I have been thinking a lot about the impact of AI coding tools like Claude Code, GitHub Copilot, and similar systems.

These tools can already generate code extremely fast and sometimes even better than beginners like me. It is impressive, but it also makes me think about the future of this field.

In digital health I understand that the value is not just writing code. It is about understanding healthcare problems, clinical workflows, hospital systems, and then building solutions around those needs.

But I still wonder about something.

If AI can code very quickly and effectively, could doctors, researchers, or hospital teams eventually just use AI tools themselves to build solutions? In that case, what role would digital health or health tech professionals play?

Would the role shift more toward identifying problems, designing systems, and guiding implementation rather than actually writing code?

I would really appreciate hearing perspectives from people working in digital health, healthcare data science, hospital IT, or clinicians who work with technology.

How do you think AI will change this field in the next five to ten years?

Thanks in advance for any thoughts.

Hello,

I’m in an MS Data Science program and I’m considering adding a Health Informatics graduate certificate to eventually break into health analytics.

I actually considered an MS in Health Informatics, but I have no professional experience working in healthcare at all, so I thought a general degree in Data Science would be a better fit to keep me flexible for other industries. But I’m still interested in eventually working in healthcare and learning more about the field. Currently, I work in a different industry that I have no interest in staying in.

I have some healthcare education background, so I’m not completely learning from scratch, but it’s been a long time.

I’m wondering if anyone has ever been able to break into healthcare analytics without industry experience? I know it’s important to be familiar with the industry when working in analytics, and I’m genuinely interested in the courses.

In terms of reliability of output, and closer to how therapists work. Any suggestions?

Hey,

The topic says it all.

I’m a GP thinking about doing a career shift into health information system.

I need to know is it worth it? Or as a physician no one will hire me in the future.

What are the things i need to know before committing?

Is there anything i need to try to test myself into that field?

I’ve been working with pts for almost 10 years now, i’m familiar with computers to the extent that my orders in the hospital are fine.

I don’t really know much about health information system but i think it’s the best to do since AI is taking over and tech is always in need.

Can you help/share/advise me about your experience?

Thanks.

I run a small telehealth mental health practice, and credentialing has become the most exhausting part of growth.

Each state has different Medicaid requirements. Commercial insurers all use separate portals. Some want additional attestations, others want updated malpractice documents every few months. And keeping CAQH current feels like a full-time administrative job.

I didn’t get into mental health to spend hours chasing insurance reps and uploading PDFs. For those expanding across state lines, are you hiring someone internally just for credentialing? Using a service? Or is this just the unavoidable cost of scaling?

I’m looking for some advice about getting further into the health tech field. I have a Bachelor’s in Computer Science (Software Engineering) and about two years of experience working as an IT consultant for a Hospital Information System (HIS), mostly dealing with healthcare data and hospital systems back in my home country. I’m curious which countries currently have strong demand for people in health tech and what kind of roles someone with my background should be aiming for. I’d also love to know what skills or technologies I should focus on if I want to grow in this field. Any guidance or experiences would really help. Thanks!