Data analysis and presentation in doctor portals

A George

One of the 5 challenges for the Hacknosis was data analysis and presentation in doctor portals.

Why does this matter?

Healthcare data lakes pose challenges, one of those being how to effectively manage and analyze unstructured data. This requires advanced techniques for text mining, natural language processing and image recognition to drive meaningful insights from sources such as clinical notes, research articles, medical images and tests.

Data analytics and healthcare services can be combined to address every aspect of patient care and management and unlock new ways of improving healthcare services.

The ask:

We asked participants to build a solution to analyze and display data for doctors. A lot of the submissions for this category included an AI component - from mimicking and training and artificial heartbeat to medical image processing for early detection use cases, we saw some impressive new Large Language Models (LLM) created.

An interesting theme the judges saw in some of these submissions was the creation of new LLM's that were regional specific. For example, we saw a few submissions that re-wrote the international standards of blood values to reflect the values more commonly seen in their respective country which lead to better predictions for ailments not commonly seen in Western societies. AI and the use of LLM's is one aspect of how technology can enhance data for doctors.

Data analysis for doctors requires lots of data points which can then be trended and turned into insightful data at a glance. Imagine being able to trend someone's blood results by value and results over time, i.e. the ability to take red blood cell count and trend it over time can help patients with anemia and their doctors understand the fluctuations.

The OpenText Difference

For this Hackathon, we provided participants access to our developer solutions which included use of the Information Management Services API's and allowed participants to utilize other teach stacks and API's to aid the build of their solution. The Information Management Services API's includes a set of API's that are meant to digitally transform data so it can be utilized in more meaningful ways. For this particular challenge, we wanted to see how participants could leverage the OpenText API's to create solutions that make it easier to capture, transform the metadata and results into visual charts for doctors. Head over to the winners page to read about the winner's solution.