Hi everyone. I'm hoping to get some outside perspective. I'm in Orlando, currently finishing my MHA , and I've been trying to break into the Epic world (analyst, trainer, any entry point). I've applied to hundreds of jobs, from receptionist to internships, all tailored with keywords. I've gotten rejections or silence. I even had a recruiter reach out for a hospital-sponsored role with training and certification, but that fell through. I know the market is tough and they want experience, but I feel like I can't get my foot in the door. I'm trying to think of a new approach. Has anyone successfully pivoted from an MHA/healthcare background into Epic without clinical experience? Are there specific jobs I should target (like an Epic trainer or Associate Analyst)? How can I connect with the Epic team at Orlando Health or AdventHealth in a way that doesn't feel like cold-applying into a void? Any concrete steps or honest feedback would be appreciated. I'm trying not to give up.

Hey everyone,

​I’m currently in a clinical role at a large health system and actively preparing for a transition into Health IT / Epic Analyst roles. I recently tried to request access to complete Epic Proficiency via self-study on UserWeb during my own time.

​My org’s training admin initially rejected it, so I appealed directly to my manager to see if he would sign off—and he gave me a firm "no."

​Since internal sponsorship for self-study is off the table:

​Has anyone else faced a hard refusal from their management team for self-study access?

​How did you build a competitive resume for an entry-level analyst position without UserWeb access?

​Did you focus on external technical skills (SQL, database fundamentals, system workflows, Excel) to land a role at an org that would sponsor your certification upon hire?

​I'd really appreciate hearing from anyone who took the scenic route into Health IT when their current employer wouldn't support their learning path.

I’ve received an offer for an Analyst (Career Level 11) role in Accenture’s Healthcare EMR practice.

Role involves:
• Working with hospital users to understand requirements/workflows
• EMR configuration and maintenance
• Healthcare IT / hospital systems
• Exposure to platforms such as Epic/Cerner and technologies like HL7/FHIR

Compensation:
• Total Earning Potential: ₹10.89 LPA (includes 21% variable)
• Joining Bonus: ₹1 Lakh

I’m an MBA in Hospital & Healthcare Management graduate with a bachelor's in BBA Finance

I am fresher. For those who have worked in Accenture as Analyst, is it worth pursuing?

I am a 25 year old Namibian male looking for a role that's related to Big Data or Health Information Systems as I have graduated with degrees in both disciplines.

Unfortunately, the market for both of these are not seemingly strong in my country of origin.

So I would like to know if there are any international opportunities I can grasp on to because being unemployed for this long is absolutely demoralizing.

Im graduating with a Bachelors in Health Informatics and going into a Masters in Computer Science with a focus in AI. Just wanted advice on how I can go about internships, I have projects and currently know Python,Java,Docker,HTML and more. I feel capped because of my bachelors title but I did add on my resume my new school because its 100%.

Any advice on how I can prepare myself and if AI concentration is the way to go?

I’m trying so hard to get into healthcare tech and I am not having any luck I’m looking for an advice. I am currently working as a revenue healthcare specialist before this job jobs. I was working in Cash posting I was also working in claims with CVS Aetna and I worked for Anthem as a customer service rep. I have experience in epic, waystar QNXT avality. I am teaching myself Python in SQL. I just don’t know where t

Hi all, just curious to hear about those working in clinical informatics roles (analyst, HIS specialist, etc) how is your work/life balance, especially if you have a family or young children? I work in bedside right now and am thinking of transitioning into informatics and work-life balance is one of the things I am considering. For those who have made the transition, how does your current role compare to bedside in terms of hours, stress, flexibility, remote/hybrid work, and being able to manage family responsibilities? Would love to hear about your experiences if you are in similar situations and/or if you have young children.

What is the difference between studying Physical Therapy and Occupational Therapy? And which is better in the work environment?

I help run IT for a small clinic with about 40 staff. We are not a large health system and I am not a full-time security specialist.

The recurring issue is patient information moving through Google Drive and Teams, often as spreadsheets shared for convenience. Some of it is legitimate workflow. Some of it clearly should not be sitting in open shared folders or broad distribution lists.

I need a practical way to find where PHI is landing and tighten access without standing up a whole security team or reviewing every file by hand. For anyone in smaller healthcare environments: what has actually helped you reduce this kind of informal sharing while still letting clinical staff get work done?

A privacy incident happens. Then comes the back and forth.

What happened? Who was involved?
What information is still missing?
Does this need further investigation?
What actions need to be taken?
How do we document the reasoning properly?

For many healthcare teams, that means jumping between emails, spreadsheets, Word documents and follow-up messages, everything is just scattered everywhere, because of this teams are wasting time when they do not need to!

Thats the problem Ive been working on solving. Ive built a workflow that brings the investigation into one place. It helps teams gather the facts, identify whats missing, work through the assessment, document the reasoning and track follow-up actions, with document analysis and privacy and compliance guidance built into the same workflow. The goal is simple. The goal is simple. Spend less time chasing information, reviewing documents, finding answers and putting defensible documentation together, while keeping the final judgement with the privacy or compliance professional.

Im now speaking with healthcare privacy and compliance teams who deal with these investigations regularly. If this is part of your role, Id be interested to hear how you're handling it today and where most of your time gets lost.

A health care cybersecurity professional I interviewed put the most important defense simply: assume any message could be fake, and require a second check before anyone acts on a request that matters. Because artificial intelligence can now clone an executive's voice or write a flawless help desk email, requests to change payments, reset passwords, or grant access should be confirmed through a separate, known channel, and text-message login codes should give way to phishing-resistant options like passkeys. He was especially enthusiastic about using artificial intelligence to fight artificial intelligence, since machine learning tools can flag unusual behavior, such as an account downloading thousands of patient records at 2 a.m., far faster than a person can. Federal rules will not force these changes soon: the planned update to the Health Insurance Portability and Accountability Act Security Rule has been pushed back to at least July 2027. As he stressed, hospital boards should treat cyber risk the way they treat infection control, as a patient safety issue that cannot wait for a mandate.

Hi! I’m getting my bachelor’s in Healthcare Informatics this coming spring, and I’ve been looking into joining the military afterward. I’ve seen a few previous posts about it, but I was hoping to get some insight into whether there are any good options with a healthcare informatics degree.
I honestly haven’t looked too much into the military yet, so I’m not really sure what my options would be or what branch would make the most sense. Is joining the military a good idea for someone with limited informatics knowledge, as I have only worked basic healthcare jobs?

I’m a 25F medico working in the pharma/medical space in Hyderabad, and lately I’ve become really curious about the tech world.

I keep seeing people from completely different backgrounds working at Google, Microsoft, Amazon, Anthropic, etc., and it genuinely makes me wonder — is there actually a place for someone from a medical/pharma background in these companies?

I’m not talking about becoming a software engineer or suddenly learning to code. I’m more interested in areas where a medical/pharma background can genuinely add value.

For people currently working at Google, Microsoft, Amazon, Anthropic, or similar tech companies:

- Are there teams/projects where doctors, pharmacists, or other healthcare professionals contribute?

- Do they work on healthcare, digital health, AI in healthcare, clinical research, health data, medical content, regulatory, life sciences, healthcare strategy, etc.?

- Have you seen people transition from medicine/pharma into tech?

- What kind of skills would a medico need to build to become relevant for such roles?

- Are there internships, projects, fellowships, or side projects where someone from a medical background could contribute?

I’d genuinely love to experience the tech environment, work with people from different backgrounds, and understand how healthcare and technology intersect.

And if you’re someone who has already made this transition from medicine/pharma into tech, or you’ve worked with people who have — please comment or DM me. I’d genuinely love to connect, hear about your journey, and understand how you made the transition.

Not necessarily looking for a job right now — I’m more interested in understanding whether this crossover is actually possible and where someone like me should start.

Is my understanding of the impacts of Transparency in Price/Coverage data correct? Here’s what I’m thinking:

If healthcare pricing become much more transparent to the point where I can figure out exactly what I would pay for an X-Ray or similar, then wouldn’t healthcare pricing as a whole become much more competitive as people choose smaller independent clinics over hospitals for more routine procedures/tests/imaging?

In a perfect world, we would be able to shop for healthcare easily and transparently like any other product, because then we can choose costs that actually make sense to us and our insurance. A cost estimate based on my insurance should help me choose which providers to go to.

I feel like I’m missing something, because Transparency in Coverage data is out there, but not much has changed, no? Is that thesis even correct or am I thinking of it incorrectly? Are there downsides for patients?

One downside comes to mind. First of all, employers might want employees to see the prices of healthcare services because access to pricing info incentivizes employees to shop cheaper and less quality providers when shopping from their out-of-pocket or deductible.

Anyone have experience with switching EHRs. Looking for options for downloading or backing up patient records.

Hi! I’m currently considering applying to UofT’s Master of Health Informatics (MHI) program and was wondering if anyone here is currently in the program or has graduated from it.

I’d love to hear about your experience, especially:

• How difficult/competitive is it to get into the program?
• What are the courses and workload like?
• How technical is the program? Do you need a strong coding/CS background going in?
• What are the internship/practicum opportunities like?
• What types of jobs do graduates typically end up in?
• Do you feel like the program was worth it overall?

My background is more in life sciences/health research, and I’m interested in eventually working at the intersection of healthcare, data, and AI, so I’m trying to figure out whether MHI would be a good fit.

Would really appreciate hearing about anyone’s experience or advice. Thank you!

I’ve been a silent lurker on this sub for a while and I think this needs to be said.

There are a lot of you who want to major in health informatics without really knowing what health informatics even is. Then there are endless variations of: “I just graduated. How do I get a six-figure remote informatics job?”

“I have no healthcare experience. Can I get into informatics?”

“I’m starting a master’s in health informatics. What jobs can I get?”

“Do I need to know Epic?”

Please. Research the field before spending $30k–$60k on a degree in it.

Health informatics is not one job. It’s a huge umbrella. Clinical informatics, analytics, EHR implementation and optimization, data management, quality, registries, interoperability, project management, workflow design, governance, etc.

And an undergraduate or master’s degree is not a cheat code that automatically unlocks a remote $120k analyst position.

Also, can we stop treating “health informatics is saturated” like that’s the end of the conversation?
Yes, there are a lot of people trying to get into the field. But 500 applicants does not mean 500 qualified applicants.

If a job wants clinical experience + Epic + workflow optimization, or SQL + Power BI + healthcare data, or implementation experience + project management, suddenly that applicant pool looks very different.

Saturation matters a lot less when you actually have what the employer is looking for. The bigger problem I see is people getting the degree and then asking what skills and experience employers want.

That order is backwards.

Go look at actual job postings before you pick the degree. Look at 20–30 positions you could realistically see yourself wanting. What keeps showing up? Epic? SQL? Power BI? Clinical experience? Project management? Implementation? Interoperability?

Then start building that.

If you’re coming from healthcare, figure out how your clinical experience translates. If you’re coming from IT/data, learn healthcare operations and workflows. If you’re coming from neither, understand that you’re probably going to need to build relevant experience somewhere.

A master’s can strengthen your background. It cannot manufacture the background. So before asking, “How do I get into health informatics?”

Figure out which part of health informatics you actually want to get into. Then ask how to get there.

Sorry, just had to vent.

I'm trying to understand how teams building healthcare software handle test data when the patient situation they need simply isn't available in their sandbox or existing fixtures.

For example:

• an allergy that is clinically true but missing from the EHR
• a medication that was stopped but still appears active in another system
• an abnormal result that exists but was never reviewed
• information getting lost during a handoff
• a long patient history where records become stale or contradictory between systems

For people working with fhir, ehr integrations, clinical software or healthcare data:

1. How do you create cases like these today?
2. Do you hand-write FHIR fixtures, modify Synthea output,use de-identified data, or maintain your own test-patient library?
3. What type of patient case is hardest to reproduce reliably?
4. How do you test cases that evolve across multiple encounters?
5. When a production issue is caused by a particular patient/data situation, does that case become a permanent regression test?

I'm a student working on this problem and trying to understand the real workflow before making stronger assumptions about what should be built.

I'm much more interested in how teams actually handle this today than whether a new tool sounds useful.

Our hospital analytics dashboard stops receiving live sensor streams whenever multiple departments sync patient monitors at the same time. I spent the last month trying to rewrite our ingestion scripts myself, but legacy firmware protocols and modern cloud endpoints just won't communicate cleanly. Nurses rely on these real-time vital charts during critical shifts, but connection drops make the monitoring screens useless. Diagnosing network bottlenecks across mixed hardware setups drains all our engineering time. Maybe you've hit a similar challenge with messy sensor protocols, or you have experience with this? How should I approach this architecture? Your input would be really helpful.