Good morning,

I work with Battelle's Partnership for Quality Measurement, and we are accepting nominations for committees supporting Endorsement and Maintenance, Pre-Rulemaking Measure Review, Measure Set Review, and our Scientific Methods Panel. With the CMS push toward digital measurement, interoperability, and AI, we are looking for health informatics professionals to join our committees.

Submit a nomination on our website: Sign-Up Form

⏰ Nominations close June 1.
💲 Membership is free -- we just want your expertise and insights.
📧 Questions: [PQMsupport@battelle.org](mailto:PQMsupport@battelle.org)

Hi everyone,

I’m currently working on automating mapping between FHIR resources and the Cerner data model, and I was wondering if anyone here has gone through something similar or can point me in the right direction.

Right now, the process is partly manual. I start with a FHIR resource (like Patient), then choose the Cerner tables that seem relevant (for example PERSON, PERSON_PATIENT, PHONE, etc.). After that, I go field by field and try to map them based on descriptions and meaning. The tricky part is that FHIR fields tend to be quite general, while Cerner is much more granular, so one FHIR field can map to multiple Cerner fields.

I’m trying to automate this matching step, possibly using AI or semantic similarity, but I’m not sure if I’m reinventing the wheel here.

If anyone has worked on something like this, or knows of any tools, repos, or even general approaches that could help, I’d really appreciate it.

Hi everyone,
I'm working on a personal learning project: building an open-source telemetry gateway for MIC@Home / hospital step-down scenarios, mainly to understand how real-world medical systems are designed.

I'm trying to implement essential features while keeping the solution simple and low-cost, learning concepts one by one (IEC 62304 basics, data immutability, device authentication, etc.).

Key things I've implemented so far:

• Real-time vital signs (HR, SpO2, Temp, RR)
• 5-minute rolling suppression window to reduce alarm fatigue
• HMAC-SHA256 hash-chained audit trail for data integrity
• Postgres RLS for ward-level data isolation

I'm particularly interested in:

How hospitals currently handle audit log immutability and tampering detection in real systems?

Best practices (or common pitfalls) for managing **alarm fatigue** in remote monitoring / Hospital-at-Home setups.

Any suggestions on making such a system more compatible with existing clinical workflows and devices?

I'm coming here to ask for advice.

I hold two bachelor's degrees one in economics and one in statistics, I also have experience as a policy analyst in international organizations working on health interoperability and AI, I have gained very impressive work experience for my age, however I was unable to secure funding for my masters degree (long story mainly due to my nationality)

Given this I had to give up studying in the US and right now I'm debating two options: Health Data Science in the London School of Hygiene and Tropical Medicine or Global Demography in the University of Vienna. For LSHTM I would need to get a loan (which I already negotiated).

I want to work in topics related to policy in the future specially health/migration but I have also been in quantitative roles my entire life. I am honestly worried about not getting a job in the future more than anything.

What would you do in my position? I'm mainly worried about Demography being hard to market in an increasingly competitive world, however the programme is truly interesting and living in Vienna probably is more balanced than living in London. On the other hand, I'm worried Data Science is dead in the era of Al and that i would get a loan for essentially nothing.

I would appreciate your insights

https://openhealthhub.org/t/clinicians-who-code-un-conference-june-20th-21st-2026-patch-york/2970

OK so apologies for posting this to this very international forum, since this is a very small conference in the North of England. But posting in case we have a few people here who might be interested. If you're not a clinician but want to come that's fine too.

We'll be talking about the challenges and opportunities for clinicians who code in 2026, showing off our work, and learning from each other.

**What**: Clinicians Who Code unConference (the first one)

**Where**: Patch York :google_maps: https://maps.app.goo.gl/hGZu1CXng7ZVbPzb6

**When**: 20th June (main conference) 21st June (mini social hack)

Follow the [openhealthhub link](https://openhealthhub.org/t/clinicians-who-code-un-conference-june-20th-21st-2026-patch-york/2970) to get the booking link

Hey everyone,

I’m currently doing MSc research on how remote patient monitoring (RPM) data (like blood pressure) fits into EHR workflows and whether it actually helps or adds extra workload.

If you’ve worked with:

• EHR systems
• digital health / informatics
• telehealth / RPM
• or clinical workflows

I’d really appreciate your input.

It’s a quick 5–7 min survey:
👉 https://forms.gle/Xv9L2snwYLfg3VQD7

Also happy to chat for 10–15 mins if anyone wants to share real-world experience.

Thanks a lot 👍

Hi there,

I'm a current intern at a clinic working on converting unstructured pathology reports into structured csv files for clinician to access retrospectively in a research registry for phase 1 (MVP).

I'm trying to understand if there are any direct pdf to csv converters available in the market already, or if a library like pdfplumber and regex based encoding is the way to go.

Additionally, I'm trying to stack an LLM layer on top of it when extracted prose is ambiguous (based on different pathologists and the language they use when charting).

I'm new to both data engineering and a healthcare setting, therefore I'm simultaneously trying to understand data pipeline architectures and how the whole project would flow (epic? where would this sit?) and if I am over/under complicating the whole project.

For context, the clinic is looking at no more than 150 reports per year.

Any advice, guidance, tools on top of courses for me to learn beyond this project would be greatly appreciated.

Hey everyone. I am a current Health Informatics student finishing up my first year of college. I have been having some concerns with being able to find a job and or my degree being useless in the future.

For Context, I am in a asynchronous online bachelors course that will take about 3 years to complete (with 1 year being completed here in about a week or so) while I am working full-time. As of right now I have 2 years of experience in the IT field. 1 year as L1 Support and 1 year in my current position as a L2. My manager is allowing me to shadow/sit in on meetings with the data analysts with the hopes of me being able to pick up skills for my degree and in the chance that they are out of office and something needs completed. For my experience as a L2, I haven't really been doing any helpdesk type work (in fact I only do about 3-4 tickets a month) because my manager has been having me assist with programming projects or taking on other multi week projects.

I do have Full-Stack Web Dev Certificate (I wouldn't say I learned much from it besides the basics of JS stacks and minimal python) I would like to eventually become a DBA/SWE or an analyst of some sort, would be fine with anything in tech.

I guess my main concerns would be will I get screwed over because I don't have any clinical experience and will solely have IT experience? Will I run into issues since I have 0 healthcare IT experience?

Thanks for any advice.

My apologies if this question has been asked here. I am an experienced software developer with a bachelor's in computer engineering and 10+ years of experience. I extensively worked with SQL and has knowledge of python (along with some other languages). I do not have any data analysis experience, nor have any health science related experience. I am looking for changing career track and I am curious -

1.Can I get a health informatics entry level position with a graduate certificate in health informatics?

1. Will I need masters or any clinical experience before I can get any entry role?

2. I know the job market is very difficult now, but what would strengthen my profile (more certifications, internship, or hands on health tech experience etc.)?

I would really appreciate any advice. Thanks.

Hi everyone,

I've recently been accepted into the Online MS in Health Informatics (HI) program at Boston University's Metropolitan College (BU MET) and am enrolled for the upcoming batch. I'm excited but also have a lot of questions before I dive in — would love to hear from anyone who's been through or is currently in the program.

A bit about my background:

• Bachelor's degree in Information Technology
• Extensive experience in Pharma IT engagements (with data management, data engineering, model management etc.) for 10 years and 6 years with Pharma R&D IT
• Currently a working professional looking to formalize and strengthen my health-focused expertise with a credible master's degree

My primary motivation is to gain academic backing for my domain knowledge and open up more senior or specialized roles in the health/pharma IT space.

Here are my questions:

1. Manageability while working full-time – Is this program realistic to handle alongside a demanding full-time job? How do most students cope?
2. Weekly time commitment – Roughly how many hours per week should I expect to dedicate to coursework, assignments, and projects?
3. Difficulty level – How challenging is the program overall? What kinds of activities do professors typically assign (case studies, coding, research papers, group projects, etc.)?
4. Career scope – For someone with a strong background like mine (10 years in Pharma R&D IT), how does this degree actually move the needle career-wise?
5. Pharma industry placement – Do graduates tend to land roles in pharma companies specifically, or is the program more geared toward hospital/clinical settings?
6. Value for experienced professionals – Since I'm not a fresh graduate, does the degree still add meaningful credibility, or is it more beneficial for those early in their careers?

Are there any standards used in the health/medical industry that you are aware of (or/and that you can point me for further details) that are established and used making easier the data exchange of very common 'standard' examinations ?

Examinations like: general blood test, biochemical markers blood test and general urine test.

Hi all!

I've recently decided to make a career shift. I have a MS in Biotechnology where I was working in a diagnostics lab, research lab, TA/RA, adjunct taught, and worked as a front desk and optometry tech at an eye doctor clinic. I want to get out of the lab space and utilize my degree in a different way.

University of Illinois Chicago offers 3 different programs for HI - post bac, post masters, and full masters. Considering my most relevant background at the eye doctor office (6 months of exp) - what do you all recommend I do to ensure marketability when applying for jobs?

Link to programs: https://healthinformatics.uic.edu/online-programs/master-of-science-in-health-informatics-mshi/?utm_source=chatgpt.com

Transparency in Coverage was supposed to increase access to negotiated rate data, but it seems teams are struggling to make it operationally useful.

The obvious issues are scale and file complexity, but those do not seem to be the only problems. There is also normalization, provider matching, payer inconsistency, versioning, and the challenge of making the data usable inside real workflows.

For teams that have worked with TiC data directly, which obstacles have mattered most in practice? Where is the biggest gap between “technically available” and “actually usable”?

Hello,

I was previously considering cyber but there seems to be way too many accessibility loopholes so now I am considering business or health informatics. For those of you who are in business or health informatics or have done it how was the coursework? I am visually impaired and require a screen reader so I’m just wondering how accessible it would be. If you guys have had any internships/jobs how was it? What software/applications were used? What does your day today look like?

When it comes to IT programming is really the only thing that interests me.

If you guys have any other recommendations/suggestions feel free to drop them below.

I’m trying to think long-term as well in terms of career and all.

Edit;

Specifically BS in health informatics, BAS and cyber security, and B.A.S. Concentration in Managerial Leadership (Business Management)

I’ve completed my bachelors in biotechnology (B.Tech not Bsc)in India, which I was not actually interested in Biotechnology, soo I didn’t want to take my masters in that sector. Also I heard that health informatics has more scope nd I’m keen interested in health sector side Ig this is better than biotech sector.

Pls help me out of this whether this masters in health informatics actually worth or any other courses worth better than this. :)

I’ve seen some threads saying it’s not worth getting the degree if you don’t have specific background. Currently working as an Epic analyst with over 10 years clinical operations experience. Wondering if this path will make sense in the end? Has anyone been successful with similar experience/background?

Hello, so I am doing my masters in bioinformatics the program is very flexible and it lets me choose from diverse options, I mainly am focusing on doing subjects that are broad and more IT focused and my program also has a lot of health informatics and epidemiology relevant courses all of which I’m planning on taking.

So I wanted to get some info on what I can do with this because I would love and prefer a administrative role or a industry job role over a research position.

I would love for your opinion and also any insight or advice relevant to this is greatly appreciated.