Today I was running an introduction to coding workshop at the GP trainee conference in the Oval London. I love teaching medics how to code. The smile you see on some of their faces when they realize that solving a problem with code is possible, once you've broken down the solution step by step. Getting … Continue reading You’ve been exposed to coding! Here’s 3 tips to keep it moving.
personal mutterings
3 concepts clinicians should understand about the raspberry pi
It's a well-known fact that tech is getting cheaper, but for most people, this doesn't mean much. It means browsing the internet and checking emails on a slimmer laptop, using fancier, simpler interfaces, and not having to know any of the workings under the hood of a computer. Don't get me wrong, I'm not one … Continue reading 3 concepts clinicians should understand about the raspberry pi
4 Things clinicians should know about Blockchain technology
I first came across the concept of Blockchain one and a half years ago when I heard about the cryptocurrency Bitcoin. At the time there were talks about regulating big bank notes in India, and China was increasing restrictions on getting money out of the country. Bitcoin is a decentralized currency, where transactions bypassed banks. … Continue reading 4 Things clinicians should know about Blockchain technology
New to NHS innovation? Here are 3 areas you can get started
To wake myself up in the morning I have a quick scroll through the Times app on my phone to get a briefing on the daily news. It’s only Wednesday but my Fitbit is telling me that I am averaging 3:39 hours of sleep a night which seems about right. I swear, the flickering lights … Continue reading New to NHS innovation? Here are 3 areas you can get started
4 things clinicians should know about machine learning
Machine learning is changing the world, there is no doubt about this. Despite the fact that the NHS is famous for being backward in its tech, it's only a matter of time before it adopts machine learning. The reception machine learning gets from clinicians is mixed. There is a palpable fear amongst some of them. From time … Continue reading 4 things clinicians should know about machine learning
3 actions clinicians need to do when considering their tech idea
This week has been intense. I have been getting to grips with the code of the central London financial tech firm during the week, and I have been polishing off my MSc surgical robotics project for a presentation. Luckily the financial area of the city has a 24 hour printing company, and I found myself … Continue reading 3 actions clinicians need to do when considering their tech idea
6 options if you want to analyze clinical data in 2017
There is no doubt that the NHS is becoming digital little by little. Anyone who has had to endure the computer systems knows that it's locked down, fragmented, and slow. However, it's here to stay, and it's getting better. This change has given clinicians an opportunity that they have never had before. They have access … Continue reading 6 options if you want to analyze clinical data in 2017
why you should simplify your med tech idea
The other day I had a meeting with an emergency medicine trainee who wanted to develop an app for his quality improvement project. I've known this guy for a while and I know that he's smart and motivated, however, he himself acknowledged that he misjudged the approach. There were things that he just didn't take … Continue reading why you should simplify your med tech idea
Uber rising prices in terror attack
This blog is mainly aimed at clinicians wanting to learn how to code or innovate with tech in health. However, last night I found myself sitting on the tube surrounded by long faces as there had been a terror attack roughly an hour earlier. So today I will be writing about a particular part of this … Continue reading Uber rising prices in terror attack
3 ways you can beat machine learning
Machine learning is coming to medicine. Even though I am a fan of computing even I have been shocked at the speed of the advancement of machine learning in medicine. We can discuss the ethics, we can proclaim that it’s not fair, however, this will not change the fact that machine learning is coming. A … Continue reading 3 ways you can beat machine learning
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