Applying Hyperledger in Healthcare

On December 2th, I attended the Blue Hack XP, a data science hackathon that brought together programmers, data scientists, designers, healthcare professionals, and other technology development professionals.

Challenges and Ideas

As soon as we received access to data provided by the ParanĂ¡ Department of Health and Hospitals (remembering that the data did not identify any individuals and we also signed a user agreement to use the data only at the event, so fully respected contract).

So we began the analysis to obtain the relevant insights, and one of the insights that we decided to work on was the itinerant care and spending on the public health system. We soon realized that the information between the various systems was not at all standardized for interoperability.

Since the beginning of the event, the blockchain development team was already wondering where we could fit Hyperledger into our solution, that’s when we saw the perfect chance.

Then part of the team took the time to standardize the fields most used by tables on the health care systems, create the first R scripts, and another part of the team started setting up an initial and functional environment for the blockchain solution.

Blockchain + Health Data

Our healthcare-focused blockchain solution enables organizations such as hospitals, clinics, universities, secretariats, or any other authorized entity to access a super-secure and virtually unbreakable data network that only blockchain technology can offer, in short:

Integrations and Legacy Systems

Probably one of the most significant barriers that any system certainly should face when inserted into an environment where other systems already exist, so we decided to adopt a simple REST API that made it easy to add new patient entries and care to the system.

Thus any legacy system could integrate only by making HTTP calls. Also, to our surprise, Hyperledger Composer has already provided the construction and execution of a complete and well-documented REST API in just a few steps.

Shared data science

Moreover, last but not least, data science, our main idea of unifying databases and warranting data distribution, was born out of the need for terms: reliable, well-documented, and ready-to-use data from any authorized network member.

We have the right elements, so we also add in blockchain the ability to share the code developed in R or Python, such a great idea that enables all network participants to use and share their insights from data and research.

Welcome SISSA

The health information system utilizing blockchain technology, which unites, integrates, and securely distributes health data across Brazil exponentially, integrating and sharing data science.

The Team

Participating in hackathons is always a mix of fun, challenges, and considerable learning.