What are the most important factors that I need to consider when making these videos? Do technical aspects of the videos affect patient outcomes? Or is it all about the content?

I'm preparing to apply for PhD programs in the healthcare field this year and am looking for an opportunity to contribute to an active research project over the next few months.
If you're a professor or researcher looking for a motivated research assistant or collaborator, I'd love to help. I can assist with literature reviews, systematic reviews, data analysis, manuscript preparation, data management, or other research-related tasks, and we can discuss more on how I can help. I'm eager to learn, contribute meaningfully, and build a productive research collaboration.
If the collaboration goes well, I would also be grateful for the opportunity to be considered for letter of recommendations to support my PhD applications. Please Dm with your name, institute or lab you are associated with and I will be more than happy to discuss about collaboration. Thanks.

The World Health Organization (WHO) released updated editions of its foodborne disease surveillance and response manuals in January 2026. The series covers introductory through advanced approaches to integrated surveillance across the food chain, with self-assessment tools, decision trees, and field investigation templates to help countries build or strengthen national detection capacity.

The stated goal is faster, more reliable alerts through the International Food Safety Authorities Network (INFOSAN) emergency network, which the manuals directly acknowledge that many national systems currently can't achieve. The bottleneck is that a country with no systematic foodborne surveillance cannot actually detect and report outbreaks in the first place.

For anyone working in outbreak investigation or food safety systems, the field investigation templates and self-assessment tools are probably the most practical entry point: Food Safety in the Manufacturing Industry

Lately I feel like the actual build work is becoming the easy part compared to the review process afterward.

We have been testing more patient-facing conversational workflows internally, and the amount of edge case review is honestly exhausting. Most failures are not catastrophic either. They are subtle issues that still create a poor patient experience. Slightly wrong phrasing, awkward pauses before escalation, repeating questions unnecessarily, missing context between exchanges.

What surprised me is how difficult these issues are to catch during normal QA because the workflows technically "work" most of the time.

As we evaluate different HIPAA compliant voice AI workflows, transcript reviews have become a much bigger part of the process than we originally expected.

Our team started reviewing interaction transcripts more systematically and it completely changed how we evaluate deployments. With HIPAA compliant voice AI systems, patient trust often depends on getting those small conversational details right.

Curious how other teams are approaching conversational QA in healthcare settings right now, especially where compliance and patient trust matter more than raw automation volume.

The NHS 62-day standard cancer waiting times target hasn't been met in over a decade!

I built a Bayesian statistical model to uncover the structural drivers behind the breaches, cutting through the generic media headlines.

Full case study with my insights and an interactive dashboard to calculate the breach probability of any UK hospital is live at numerosdon.com

Founder looking for the right partner.

I built SmartDaaS, a platform that helps HIV and public health programs turn routine data into actionable operational insights.

I’m not looking for a technical cofounder.

I’m looking for someone with relationships in global health, HIV programs, NGOs, implementing partners, donor-funded health programs, or digital health who can help open doors, explore pilot opportunities, and support market entry.

This is a flexible, remote opportunity and could evolve into a longer-term advisory, partnership, or business development role.

If this sounds like you, or if you know someone who fits this profile, I’d love to connect.

smartdaas.org

Not sure if this is the right subreddit, but the more mainstream pre-med and medical school subreddits have a hate-boner for anyone who shows interest in global health.

I'm currently matriculated into medical school. Still too early to know what specialty, but I'm starting to think surgical vs non-surgical and hear out what these kinds of lifestyles would look like. My goal is to practice and hopefully train local practitioners in a mid-sized town or in a capital city.

I've hung out with some GPs and EM doctors who do this kind of stuff, but I haven't met any surgeons before so I'm looking for some perspectives. I'm assuming general surgery residency would be best, but I'm wondering what kind of fellowships and specializations are most needed/useful overseas.

HIV Vaccine Research is a paradigm of the immense effort and evolution of thinking and knowledge immanent in the process of developing an efficacious vaccine. It is important for us to understand that vaccines are safer than any chronically administered drug but are not finite drugs and must constantly evolve to meet the biological threat. How is it possible for infectious diseases and vaccine research to move forward when past and future scientific leaders are systematically being pushed off a cliff ?

https://onlinelibrary.wiley.com/doi/epdf/10.1002/jia2.70119

https://www.nature.com/articles/d41586-026-01558-w

https://www.nature.com/articles/s41591-025-04160-1

Gone are Marazzo (ICD) , Read (Deputy ICD), Harper (EO), Lane (DCR), Erbelding (DMID), and Diffenbach (DAIDS).Rotrosen (DAIT)

The ninth, since PHEICs exist, and the third one due to Ebola.

The differences with the previous PHEIC declaration in DRC, back in 2018, are significant. That one was declared as a PHEIC one year after the outbreak was locally declared, and after 4 meetings of the Emergency Committee. The 2026 outbreak has been declared only two days after the local official declaration by the RDC Ministry of Health, and with no meeting of the Emergency Committee.

An interview with public health veterinarian Dr. Chanchal Bhattacharya on his work tackling Rabies in India's capital. In this video they discuss dog vaccination and birth control, public education and how public health workers can gain community trust, buy in from multiple stakeholders, and educate the public.

https://youtu.be/6yrGSVTa9ck?si=JxLGlkYC6NRlmsK9

World Health Day (April 7) is usually about progress, but 2026 feels a bit different.

This year’s theme, “Together for Health. Stand with Science,” highlights something important: Health isn’t just about medicine; it’s about trust, systems, and collaboration.

But at the same time, there’s a growing tension in global healthcare:

• Scientific progress is accelerating (AI, genomics, early diagnostics)
• Yet healthcare systems are under pressure
• Research funding and public trust are becoming increasingly fragile

So we’re in a strange place where:
We know more than ever about preventing disease
But we’re still largely treating problems after they show up

A lot of experts are now pushing toward a predictive + preventive model instead of reactive care; catching issues early, before they become serious.

Some questions worth discussing:

• Do you think modern healthcare focuses too much on treatment over prevention?
• Have you personally seen gaps in access, trust, or quality of care?
• What would actually make healthcare systems more effective in your opinion?

Kidney disease often progresses silently, which means many people are diagnosed late. I recently reported on a screening initiative in Cameroon that enrolled roughly 35,000 people as part of a broader effort to identify cases earlier and expand awareness. Sharing here because it seems like an interesting example of how one country is approaching prevention and early detection in a global health context. Curious how others think about the scalability of this kind of model.