Take part in the ADLIFE Hackaton

We are looking for students and young professionals to collaborate in interdisciplinary teams with one goal: to improve the ADLIFE platform and explore new business opportunities. Join our hackaton and contribute to one of our exciting challenges!

Challenges

1. Utilize AI to continuously update and enhance our Clinical Decision Support System
   Clinical Decision Support Systems (CDSS) have the potential to become a new cornerstone of modern healthcare. In addition to providing evidence-based recommendations, they can simplify and expedite decisions made by healthcare professionals with clear information. However, medicine is constantly evolving with new research, treatment guidelines technical innovations. To ensure that patients receive the best possible care, it is critical that clinical decision support systems are enhanced using artificial intelligence, or machine learning, to continuously update and incorporate the latest medical evidence.

   Challenge: "How can we use AI and machine learning to create a CDSS that seamlessly integrates the latest medical research, guidelines, and breakthroughs? What strategies can we employ to ensure that the CDSS is not only up-to-date, but that these updates are effectively communicated to healthcare professionals?

2. Seamlessly integrate ADLIFE with existing electronic health record systems
   Seamless integration of the ADLIFE toolbox into existing electronic health record (EHR) and healthcare workflows is one of the key challenges to the success of the ADLIFE project. The effectiveness and usability of the ADLIFE platform is highly dependent on its ability to seamlessly integrate with established systems already in use by healthcare professionals and facilities. Integrating the platform with existing healthcare systems ensures that services can be easily accessed and used, resulting in improved patient care, streamlined workflows and optimized healthcare processes.

   Challenge: "How can we use an interface to ensure seamless interoperability between the ADLIFE toolbox and various existing EHR systems? What strategies can be employed to simplify the integration process, improve the user experience, and promote broad adoption of the ADLIFE platform among healthcare professionals?

Practical information

• Start: November 17 at 3:45 p.m. - End: November 18 at 4:30 p.m.

• Location: Speicherstadt, Hamburg, Germany

Would you like to participate? Let us know through the registration page you can find on the Optimedis website. Please note that the number of attendees is limited.