First time posting here but Reddit users are always so helpful. I’ve been working as an IT trainer for a hospital using Epic. I started with just HIM and I’m certified in principal trainer HIM and MST build. Over the last couple of years I’ve taken on training Cogito, population health, cadence, prelude and grand central. My company is offering to get me another certification in any application, trainer or analyst.

I’m leaning toward cadence and prelude principal trainer since that’s the largest group I’m training and I have no aspirations to be an analyst. However, i don’t have a college degree and I rely on only my work experience and certs. I don’t want to leave my job but you never know what could happen.

With all that…

My question: What should I choose? With my career goals in training, what will make me the most desirable candidate should I need to job search?

How many hospitals are monitoring their IT systems within the Operating Rooms? Currently we do not monitor anything within the operating rooms, so if something goes down after hours, we won't know about it until we find it the next day.

If you are monitoring systems (even a simple heartbeat detection that can send a note to the helpdesk or on-call), please post what you are using. Thanks!

Hi all,

Link to screenshot https://imgur.com/a/C9ZUTlD

I wasn’t sure where else to ask this question so was hoping that some of you may have experience with the program mentioned and have some input for me. I have no idea how DAX copilot works or the extent to which ai may be integrated into epic itself.

My new doctor, who I’ve now seen 3 times, asks each session if I mind being recorded by the ai for documentation purposes, and each time I decline consent. I was just looking through my last visit notes and saw that she said that I was not recorded without my consent but the technology was used to summarize the information afterwards.

Are y’all reading that the same way I am? I’m glad she is honest and wrote it down, but am I wrong for feeling a little miffed by this considering she only wrote this down and didn’t inform me directly? Or do I have the wrong understanding about copilot?

Hi, I work for Infosys one of the leading IT staffing vendors. We are looking for BAs with experience in Niche skills like EPIC/CERNER/EHR. Please reach out to me if you have or know anyone with the above experience. Thanks in advance.

Kaiser doctor. His laptop was open with patient records, no privacy screen, and he was actively taking phone appointments for at least an hour. “Let’s see here I’m looking at your xray now, it shows you have [medical condition] and at your weight of [number], you could stand to lose a few pounds. Diet can only go so far. Also I can see here that you’re on [prescription medications] at [dosages]”.

I called and reported him to Kaiser’s Ethics & Compliance board. The representative was gobsmacked and said based on all of the details I provided, they’d be able to find him easily.

I happen to run IT at a small mental health nonprofit, we’re a few years away from an EHR deployment at least, and I feel like I’m busting my ass to try and create a relatively safe system to protect our participants data (which is absolutely HIPAA protected). Our environment is a disaster after decades of neglect, it’s laughable. Goes to show you can do everything you can to up your cybersecurity stature, drop millions on an EHR, buy and configure the right licensing, do endless trainings with your staff and lo and behold some asshole decides it’s “no big deal” and pulls some shit like this.

In the US, does a certified EHR write FHIR resources directly, or does it keep its own relational database and only map to FHIR at the API layer? In Taiwan, most hospitals would have to put a FHIR server next to the HIS and sync data into it. So the FHIR server becomes a middle layer, not the source of truth. I wonder if the US is the same, or if the vendors really store FHIR natively.

I'm running things half on paper half digital for a while now, intake is still mostly paper forms we scan in after, scheduling is a shared google calendar, billing is separate, etc. But I saw that most of the clinics stopped doing paper stuff and just moved to everything digital

We're still small, maybe 15-20 patients a week, so I'm not sure if going fully digital at our size would even pay for itself right now or if we should wait till were bigger??

I'm thinking of just switching intake first since that does feel like it would make things tangibly easier, and leaving scheduling and billing alone for now unless that ends up being a mistake too, but idk if that's good approach or should I just switch everything all at once and be done with it

I am thinking about trying an AI tool for SOAP notes because I spend a lot of time finishing them after every patient visit and I want to see if it will speed things up, I still want to check everything before it goes into the chart, I just want something that will put the first draft together from the visit so I can edit it and move on, I usually end up spending extra time after my last appointment just wrapping up notes and I would rather use that time for the next patient or other work, I am planning to try one soon if it fits into my workflow and keeps the notes accurate, I see a few tools come up when I search but they all look pretty similar and I think i would go with prompted ai it is hard to tell which one actually fits into a normal workflow, for anyone using one right now, which AI are you using and how much time does it save each day? EDIT: Thanks for the replies, this is really helpful. 

Baseline the numbers 90 days before go-live, or you'll have nothing to compare against.

Then track a handful of things that actually move:

• Denial rate and days in AR (this is where most of the money is)
• Documentation minutes per encounter, pulled from audit logs
• Duplicate tests ordered within 30 days
• Time to produce audit evidence when someone asks

Two honest caveats. Ignore the first 90 days after go-live, throughput always dips. And full ROI usually shows up at 24-36 months, not year one.

The trap is attributing everything to the EHR when you also changed staffing and workflow in the same window.

(I work in healthcare compliance software, so the audit angle is my bias.)

I'm curious what everyone is using these days for certification and compliance tracking in healthcare recruitment.

For those placing nurses, allied health professionals, therapists, etc., does your ATS automatically track and verify things like:

• Licenses
• Certifications (BLS, ACLS, PALS, etc.)
• Expiration dates
• State-specific compliance requirements
• Background checks and onboarding documents

Or are you still managing a lot of this manually with spreadsheets, reminders, and a small compliance team?

We're evaluating ways to streamline this process, and I'm surprised at how many systems still seem to require significant human oversight, especially when it comes to renewals and document expiration tracking.

Interestingly, we're currently working with a healthcare staffing agency and have automated this entire process through custom workflows. The results have been pretty eye-opening:

• A compliance team of 3 that previously spent 3-5 days processing a batch of candidates has been reduced to automated approval sweeps that run in about 20 seconds.
• Required compliance checks are performed automatically based on role and placement requirements.
• Placement documents are generated automatically once all requirements are met.
• The team now spends far more time handling exceptions rather than reviewing every file manually.

The experience has been extremely fruitful, and it's made us wonder why this functionality isn't more common as a native feature within ATS platforms.

Despite researching several solutions, we still haven't found an ATS that handles healthcare compliance, certification validation, expiration tracking, approval workflows, and placement document generation natively in a truly end-to-end way.

I'd love to hear:

• Which ATS you're using
• What compliance features it handles automatically
• Where your team still has to step in manually
• Whether you'd recommend it

Is there a platform out there that's genuinely solved this problem, or has the industry largely accepted that healthcare compliance management will always require separate systems and manual oversight?

Looking forward to hearing what's working (or not working) for your teams. Thanks!

Every vendor demo I’ve seen for hospital software in Venezuela now mentions “AI”. Very few explain what data their models need, how they’d be locally validated, or who is clinically accountable when the model misses a case.

Looking at published evidence and real projects, I keep landing on the same conclusion: in healthcare, the bottleneck is not the algorithm, it’s the data and the institution that will use it.

A few concrete data points:

• Roughly 75–80% of FDA‑authorized AI medical devices are in radiology. “Clinical AI” that’s actually approved is mostly image AI (nodules, triage, reconstruction), not systems that “run the hospital end‑to‑end”.
• The Epic Sepsis Model, deployed at hundreds of US hospitals, showed an AUROC of 0.63 and a positive predictive value of 12% in its 2021 external validation, lots of false alerts and many sepsis cases missed.
• In the newer version (ESM v2), a multicenter prospective study on 227k encounters reports AUROC 0.82–0.92 but PPV only 0.13–0.26, with performance varying by site and an explicit recommendation to do local validation before trusting it.

With that in mind, I wrote an article aimed at private clinics and hospitals in Venezuela that tries to be brutally honest about where AI makes sense today:

• What kind of medical AI is actually approved.
• Why the same model can work in one hospital and fail in another.
• Six layers you need before clinical AI even makes sense (structured data, historical records, interoperability, infrastructure, clinical governance, local validation).
• What does work right now in a Venezuelan clinic: deterministic automation and supervised administrative AI.
• Five questions that separate a serious medical AI proposal from a slide‑deck.

If you’re building HealthTech for emerging markets or working in hospital IT/clinical leadership, I’d genuinely appreciate your comments and pushback:

Artificial intelligence in Venezuelan hospitals: what works today and what doesn’t yet.

Happy to answer questions about the data/architecture side and about what we’ve actually seen on the ground with EHR, interoperability and legacy systems in Venezuelan clinics.

But who makes sure they back their numbers up? Hit me up

One of the more satisfying parts of my job is helping health facilities become less dependent on project support.

Today started with some desk work, following up on EMR readiness, checking on replacement laptops for colleagues in the field, and sorting out supplies for one of our facilities.

The highlight of the day came during visits to two health facilities.

At the first facility, we completed additional network cabling so that every service delivery point could access the same network. Once we confirmed everything was working, we officially switched off the internet service that our project had been providing.

That might sound like a small milestone, but it's actually the goal. The best support isn't support that lasts forever, it's support that helps a facility become self-reliant.

The second facility wasn't quite there yet. They had budgeted for internet, but the package they planned to pay for wouldn't meet the demands of a busy health facility. After discussing their needs, we agreed they should budget for a higher-capacity connection starting in September.

Digital health isn't just about installing technology. It's about making sure the systems can continue working long after a project has stepped away.

Today's lesson: sustainability is one of the most important success metrics in digital health.

Not our main EMR/EHR, but it seems like any time our 3rd party integrated vendors update something, it breaks spectacularly for a couple days. They have to roll back to a stable version and then try again in a couple days.

I'm sure they will say they are doing nothing different, but it seems like nothing is stable anymore. Documents, messaging, alerts, even the ability to log in for some.

No way companies are trying to actually vibe code are they?

We are forcing a meeting with their tech team in which, if we don't get some real insight, then I assume they will vote to go a different way.

This has seemed to be over the last 6 months or so, and the company went through a merger in the last year.

hello, I’m currently an MLS (have been for almost four years) and want to make the pivot into healthcare IT, ideally becoming an EPIC analyst. However, my hospital doesn’t offer epic certification and I can’t seem to get my foot in the door anywhere. Are there any other certifications I can get in the meantime that’ll make me more competitive? Anything I can do to just get interviews? Any advice would be greatly appreciated.

Would love to chat with other case managers/QAPI folks about your reporting processes, especially if you have experience with CAHs/swing bed units. I have been tasked with streamlining our monthly reports, which have been done by hand by my supervisor up until now.

Granted, our EMR is clunky and it takes some tinkering to get it to spit out the relevant data, but supervisor is a bit of a Luddite and totally refuses to use the computer to do anything. But one of the big issues is that she can't explain to me why she's calculating numbers the way she does beyond "that's the way we've always done it". A quick look at the Medicare CoPs makes me think that she's not calculating them properly. Example: she counts inpatient LOS starting from when pt arrives in ED, but I'm pretty sure it's supposed to be counted from when an admission order goes in.

I'd love to chat with someone who can point me towards some good resources for understanding what metrics we're actually supposed to be tracking and how we're supposed to calculate them correctly.

We use AVO and a company issued cell phone to transcribe encounters between patients and their doctors/physicians/whatever, it's pretty slick and I haven't seen or heard of any issues outside of things related to the phone itself.

Our problem is we are experiencing a mass exodus of people who want to do things like "hook microphones up to exam room computers", or use their own personal phones to use the AVO app on for recording and transcribing.

I'm not a big fan of BYOD in the healthcare industry. Something about PHI and patient data and unmanaged personal devices with owners who do not want company apps on them or just people who can't stop clicking spam links after repeatedly telling them not to and just being a liability in general just doesn't jive with me.

I'd much rather them just use company-issued equipment to access patient data and/or conduct any healthcare business.

What are your thoughts on this?

I've been looking at a digital healthcare platform being developed for the Libyan healthcare ecosystem, and it made me think about how healthcare apps evolve differently depending on local infrastructure and patient needs.

The platform combines telemedicine, appointment scheduling, e-prescriptions, lab/radiology reports, pharmacy ordering, and patient records into one ecosystem.

For those working in healthcare, health IT, or digital health:

• Do patients actually prefer an all-in-one healthcare app, or is it better to keep these services separate?
• What usually becomes the biggest bottleneck after launch technology, clinician adoption, regulations, or patient engagement?
• For countries with developing healthcare infrastructure, what features provide the highest real-world impact?
• If you've worked on similar platforms, what lessons did you learn that aren't obvious during development?

I'm particularly interested in hearing perspectives from people who've implemented or supported digital health platforms in emerging markets, not just North America or Europe.

The hospital I work at just joined a clinically integrated network. Has anyone worked at a hospital before and after a transition?

If so, how did it affect IT, Informatics or data analysts?

I’ve been working on a technical piece about SAP in healthcare environments, especially around hospital integrations with lab systems and clinical platforms.

My main thesis is simple: SAP usually makes sense for finance, procurement, inventory, and operational control, but not as a replacement for a specialized HIS/LIS/HCE stack. In practice, the hard part is not “put everything in SAP,” but deciding what belongs in SAP and what belongs in the clinical systems — then integrating them cleanly.

In the article, I cover:

• When SAP starts to make sense in a hospital.
• Why trying to force SAP into clinical workflows often backfires.
• What a realistic integration architecture looks like.
• Why point-to-point integrations become technical debt fast.
• The main security and interoperability concerns.

I’d be interested in hearing from people here:

• Where have you seen SAP work well in healthcare?
• In which cases did it become too heavy or too expensive?
• What integration patterns have worked best between SAP and clinical systems?

If useful, I can share the full article here:

SAP in hospitals: when does it actually make sense?

I need to know how others are handling this because its becoming a time sink for us.

Our exclusion screening setup is working overall but we HAve been getting a lot of potential matches that turn out to be nothing. Same name, slightly different identifiers stuff like that.

Every flagged record needs to be reviewed, verified and documented by us.

Some days it feels like we’re spending more time clearing false positives than doing actual work.

We are pulling data from our provider credentialing system and running checks against the OIG exclusion list and other sources but the matching logic seems a bit unstable.

Is this just part of the process or have people found ways to make this easier?

I’ve been building HealthProcure Intel over the past few months, and I’ve finally reached a point where real people can start using it.

The idea started with a simple question: Why is finding healthcare procurement opportunities still so fragmented?

If you’re a medical supplier, MedTech company, pharmaceutical manufacturer, or procurement team, you’re often forced to check multiple government portals every day just to avoid missing opportunities.

EU tenders on TED.
US contracts on SAM.gov.
NHS opportunities.
WHO procurement notices.

And that’s before looking at award data or pricing trends.
I wanted to build one place where healthcare procurement intelligence actually lives.

So I built HealthProcure Intel.

Current features:
🌍 Search healthcare tenders from multiple global procurement sources

🔔 Real-time tender alerts

📊 Contract award intelligence

💷 Regional pricing benchmarks

📈 Procurement analytics and market insights

🔎 Powerful search and filtering

I’ve built everything myself, from collecting procurement data and designing the platform to developing the backend, frontend, and deploying the application.
It’s still early, and I’m improving it every week based on feedback.

If you work in healthcare procurement, MedTech, life sciences, or medical supplies, I’d genuinely love to know what features would make a platform like this indispensable for you.

What is the biggest frustration you have with finding or tracking procurement opportunities today?

from my experince working in healthcare units and implementing systems using QuickBlox as a real time communcation layer I learned that success is not only about technology it provided the real time communication layer between healthcare teams inside the application which helped improve response speed and coordination but the real impact came when workflows were clearly defined and aligned with clinical operations even the best systems can fail if they dont match daily working processes

what do you think matters more in hospitals technology or workflow desgin

Hi all, I’m part of a research team looking at why assistive technology doesn’t always make it from idea → evidence → real-world use.

Common issues we’re investigating: • Products progressing without strong validation
• Evidence-backed solutions not reaching market

We’re keen to hear from industry and developers about: • Collaboration with researchers and government
• Barriers to scaling and adoption
• What actually helps projects succeed

👉 Survey: https://redcap.link/4svfl2xj

Insights will feed into practical recommendations for improving translation and uptake.

So I'm an MLS who is trying to pivot into becoming an Epic analyst or EHR analyst but I need to be Epic certified. Unfortunately, my hospital doesn't use Beaker, just Mychart, and therefore doesn't offer certification. I'm searching for places who allow employees to get certified within 6 months. I found one hospital near me but other than that, I'm not sure what keywords to search in Indeed. Any help is appreciated for job hunting, on Indeed or not.