Tag: healthtech

5 interesting things (09/02/2024)

Closing the women’s health gap: A $1 trillion opportunity to improve lives and economies – a McKinsey report that highlights the gender health gap and points to the opportunity – potential for a $1 trillion economic gain with additional societal impact. One interesting point is that there are gaps and flaws throughout the value chain – drug effectiveness, therapy access, research functions, etc. This hints that there are many opportunities out there that can make a significant impact.

https://www.mckinsey.com/mhi/our-insights/closing-the-womens-health-gap-a-1-trillion-dollar-opportunity-to-improve-lives-and-economies

Slashing Data Transfer Costs in AWS by 99% – one of the costs developers often forget or dismiss when considering architecture is the cost of data transfer. The solution described in this post is elegant and demonstrates the effect of deep knowledge and understanding of the domain. Simple to trivial architectural decisions can cost so much.

https://www.bitsand.cloud/posts/slashing-data-transfer-costs

3 questions that will make you a phenomenal rubber duck – I previously mentioned that debugging skills are essential, and it is important to iterate and refine them. I especially liked the 3rd question – “If your hypothesis were wrong, how could we disprove it?” as it forces one to think the other way around and see a slightly bigger picture.

https://blog.danslimmon.com/2024/01/18/3-questions-that-will-make-you-a-phenomenal-rubber-duck

Product Managing to Prevent Burnout – burnout is more common than we think and can have many causes. Moreover, different people would react differently to different cultures and would burn out or not burn out accordingly. The most important takeaway is that managing and controlling burnout is a team sport; it is not only the concern of the direct manager, but product managers can also participate in this effort. (I strongly recommend the honeycomb blog)

https://www.honeycomb.io/blog/product-managing-prevent-burnout

The “errors” that mean you’re doing it right – I was able to identify or witness almost all the errors mentioned in the post. I also think some of those errors, such as Letting someone go soon after hiring, Pivoting a strategy just after creating it, etc, could be attributed to the sunk cost fallacy. And if we want to make the opening sentence more extreme – “If you don’t make mistakes, you’re not working”.

https://longform.asmartbear.com/good-problems-to-have

5 interesting things (22/07/2022)


I analyzed 1835 hospital price lists so you didn’t have to – this post had a few interesting things. First, learning about CMS’s price transparency law. In Israel this is a non-issue since the healthcare system works differently, and most of the procedures are covered by the HMOs so there is no such concern. I would be interested in further analysis about the missing or non-missing prices. I.e., for which CPT codes most hospitals have prices, for which CPT codes most hospitals don’t have prices, can we cluster them (e.g. cardio codes? women’s health? procedures usually done on elder people?). This dataset has great potential, and I agree with most of the points in the “Dead On Arrival: What the CMS law got wrong” section.

https://www.dolthub.com/blog/2022-07-01-hospitals-compliance/

How to design better APIs – there are several things I liked in this post – first, it is written very clearly and gives both positive and negative examples. Second, it is language agnostic. That last tip – “Allow expanding resources” was mind-blowing to me, so simple to think of and I never thought of adding such an argument. Now I miss a cookie-cutter template to implement all that good advice.

https://r.bluethl.net/how-to-design-better-apis

min(DALL-E) – “This is a fast, minimal port of Boris Dayma’s DALL·E Mega. It has been stripped down for inference and converted to PyTorch. The only third-party dependencies are NumPy, requests, pillow, and torch”. Now you can easily generate images using min-dalle on your machine (but it might take a while),

https://github.com/kuprel/min-dalle

Bonus – https://openai.com/blog/dall-e-2-pre-training-mitigations/

4 Things I Learned From Analyzing Menopause Apps Reviews – Dalya Gartzman, She Knows Health CEO, writes about 4 lessons she learned from analyzing Menopause Apps Reviews. I think it is interesting in 2 ways – app reviews are first, as a product-market fit strategy, to see what users are telling, asking, or complaining about in related.

https://medium.com/sheknows-health/4-things-i-learned-from-analyzing-menopause-apps-reviews-2cabf9ca9226

Inconsistent thoughts on database consistency – this post discusses the many aspects and definitions of consistency and how it is used in different contexts. I absolutely love those topics. Having said that, I wonder if people hold those discussions in real life and not just use common cloud-managed solutions encapsulating some of those concerns.

https://www.alexdebrie.com/posts/database-consistency/