I am currently giving a #Programming course in the wider scope of a #MedicalTech / #ClinicalData management training.

Is there anyone in my network who has worked in those areas and can shed some light on how programming plays a role / can be applied in their work?

I am looking for any kind of input on how to tie the somewhat discrete skill of programming with the interdisciplinary field of medical technology and clinical data managment.

Thanks in advance! Boost for reach is appreciated 😘

Imagine being trapped in a burning building, but the receptionist tells you the wait time for the fire escape is two years. For millions in Western healthcare systems right now, this isn't a metaphor—it's a Tuesday.

Watch until the end to see exactly what the data reveals about this global medical shift.

Further Reading: https://zurl.co/nkbpl
#HealthcareCrisis #MedicalTourism #GlobalHealth #WaitTimes #HealthcareSystem #ClinicalData #2026Trends

R/Medicine Hackathon is tomorrow!

We will focus specifically on the {teal} package, from the Pharmaverse ecosystem, a framework for building interactive exploratory data analysis applications in clinical trials.

Beginners very welcome, registration for R/Medicine required.

Sign up, prep, and all the deets here: https://rconsortium.github.io/RMedicine_website/Hackathon.html

#rstats #opensource #clinicaldata #hackathon

R/Medicine CFP is open 🩺🧪

Deadline: March 6 (still time!)

Submit: Talks • Lightning Talks • Demos • Workshops — share how you use R + Shiny for health, lab, and clinical data.

First-time speaker? Not sure about your abstract? Email for feedback: [email protected]

https://rconsortium.github.io/RMedicine_website/Submit.html

#rstats #healthcare #pharma #clinicaldata #datascience

🧬 Can smarter data systems revolutionize how we study gut health in young children?

🔗 Development of a new data management system for the study of the gut microbiome of children who are small for their gestational age. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2024.12.031

📚 CSBJ: https://www.csbj.org/

#GutMicrobiome #ChildHealth #BiomedicalInformatics #MicrobiomeResearch #ClinicalData #DigitalHealth #Pediatrics #GutHealth #ChildDevelopment #BiomedicalInnovation

We are pleased to invite you to the upcoming MILA Seminar, featuring Dr. Martin Preusse, CEO and founder of Kaiser & Preusse. Dr. Preusse is a leading expert in knowledge graph applications and health data harmonization solutions for the pharmaceutical and life sciences sectors.

https://unimedizin-greifswald.de/medizininformatik/news/singleview/?tx_ttnews[tt_news]=57

#greifswald #science #healthData #clinicalData #graphDatabase #dataIntegration #seminar

De-identified Health Data: Unlocking Insights While Preserving Privacy

De-identified Health Data is replacing more detailed values with more general ones, like substituting a five-digit zip code with a three-digit one. Dates are adjusted, ages rounded, locations broadened.

De-identified Health Data- https://timessquarereporter.com/health/understanding-de-identified-health-data

#CoherentMarketInsights #ClinicalData #PatientDemographics #LaboratoryData #SocialDeterminantsofHealthData

In clinical data management, a clear Definition of Done is essential for keeping your team on track.

That’s why we created the free DoD Checklist for Pharma Teams.
Designed specifically for clinical managers in data departments, this checklist provides actionable best practices, from coding and validation to meeting regulatory requirements with the FDA and EMA.

Download the checklist here: https://www.appsilon.com/resources/definition-of-done-checklist-for-pharma-teams?utm_source=social&utm_medium=mastodon&utm_campaign=gxp-summit&utm_content=aa-dod

#DefinitionofDone #pharma #clinicaldata #FDA #EMA #pharmachecklist