Safeguarding sensitive data is paramount, especially when dealing with personal information such as patients’ data in a healthcare application. The Django web framework offers robust tools for building secure applications, but it’s crucial to apply best practices to enhance data protection and comply with privacy regulations.
The Initial Code The initial code snippet provided was a Django view function designed to search for patients based on a keyword that could match either a patient’s name or CPF (a Brazilian tax identification number).I will make the case for a comprehensive consultation conducted by an AI-generated physician as a first layer of care. It is a speculative exploration of the impact that the development of Artificial General Intelligence (AGI) might have on healthcare.
This concept entails an AI entity that can interact with patients as seamlessly as a real doctor in telemedicine consultations. To elaborate, imagine an entity on the screen that not only talks but also exhibits movements and behaviors so lifelike that it becomes virtually indistinguishable from an actual human being.I’m going to deviate a bit from tech and talk a little about what life has taught me.
Life is like starting a long boat trip across the Pacific. Small changes in direction early on can make a huge difference in where you end up. Seeing the possible shore is a challenge, and it’s even harder to acknowledge it when you catch a glimpse. The farther you go, the less impact your choices will have.The challenges The SUS (Brazilian Unified Health System) provides a limited number of medications though it’s “High Cost Pharmacies” program. Back in 2019 when I started this project, there wasn’t a public database or API to the data - and to my knowledge there is not one until this very day.
The data was all spread out in the site of the Health Ministry and in PDFs.
So, I had 3 choices:Hello, everyone! Today, I want to talk about a technical aspect of my project and the evolution of my code.
From lame, through loop to dictionary comprehension The goal: to create a Django form responsible for making a new prescription.
And the problem is fairly simple: each prescription may have up to 4 drugs and each drug may have a different quantity and posology for each of 6 months.
So, the first step is to create a class which inherits from forms.Today, I’m diving into Docker, Nix, and the quest for the trouble-free (or maybe BIG trouble once, yet never again. Like installing Arch Linux) project setup.
What’s Up with Nix? First off, Nix is a powerful package manager for Linux and other Unix systems that makes package management reliable and reproducible. It provides atomic upgrades and rollbacks, side-by-side installation of multiple versions of a package, multi-user package management, and easy setup of build environments.Hello, everyone! Today, I want to share with you a project I’ve been working on for some time, which is very close to my heart - AutoCusto. This project is a solution I developed to tackle the papework needed for the High Cost Pharmacies (Farmácias de Alto Custo).
My first attempt to solve it The first time I tackled this issue was in late 2018. Since I primarily had to fill prescriptions for 5 or 6 diseases and I had no clue how to code whatsoever, I manually compiled all the forms specific to each prescription into a single PDF file.In their present state, Drug Interaction Checkers often hinder more than they help. This isn’t an issue with the concept but rather with their implementation. They’ve become an obstacle to efficient prescribing, reducing the process to sifting through a barrage of irrelevant warnings, which prompts doctors to often ignore them. This situation underscores an urgent need for innovation in the design and use of these tools.
Take Neurology as a case in point:Navigating the bureaucratic intricacies of Brazil’s Unified Health System (SUS) profoundly impacted my daily routine as a doctor. The SUS extends universal coverage to over 190 million citizens and includes vital programs like the “High Cost Pharmacies.” These pharmacies are essential for dispensing medications for chronic conditions, often not covered by private insurance, making them indispensable for many as the costs of these medications can be prohibitive, consuming more than 15% of a person’s monthly income.