Open medical data and AI offer benefits in healthcare and workforce planning. However, ethical challenges around privacy, bias, transparency, and autonomy must be addressed. It's vital to use AI responsibly to improve patient outcomes and resource allocation.

The healthcare industry faces numerous challenges in the health workforce and health systems, from shortages of qualified personnel to increasing demands for quality care. These issues require innovative solutions to ensure a sustainable and effective healthcare system for all.

In this episode Gil Press, David Wood and Emir M. Isler explore the underdevelopment of open medical data in the United States, and the challenges faced by patients who are seeking greater access to their own medical information.

Digital health tech is upending US healthcare delivery. From wearables that track vital signs to remote consultations with doctors, tech will improve patient outcomes, cut costs, and open access to care, but concerns abound over data privacy and worsened healthcare disparities.

Open medical data and AI are key to easing future pandemics. Tracking a disease guides resource allocation and target interventions, e.g., COVID-19 data enabled severely at-risk groups to be flagged, leading to vaccines and campaigns to shield them, but averting a pandemic needs infrastructure and political will. Ethics are also a factor in shared medical data.

AI in healthcare improves patient outcomes, optimizes delivery, and cuts costs. In 2023, AI is set to greatly impact open medical data - a key resource for researchers and healthcare professionals to devise better treatments in tandem with AI data analysis and interpretation.

AI programs and tech have grabbed headlines with their ability to perform demanding tasks, but until now most have been limited to narrow specialties, lacking the ability to execute a wider variety of tasks across many fields. 2023 may very well prove to be the year this changes.

Europe is a top AI player but is also notorious for regulation. This third episode of the Delta Dialog talks Europe’s open medical data and AI. The tech is new, so rules and policy lag. The European Health Data Space, Data Act, GDPR and new AI Act thus all demand major attention.

This second episode of the Delta Dialog deals with a very different perspective on open medical data than the first session, namely the difficulty of the challenges to be overcome. These are data quality, utility of AI within open medical data, policy, funding, and human capital.

Delta Dialog is The Yuan’s brand new podcast series, and its first topic of conversation is open medical data. Medicine is a very important topic in today’s society and AI and data play a very big role in many of the processes applied within the industry, from micro to macro levels.

Given the great changes in our society wrought by AI, and all the new possibilities, one can only imagine what life might be like in the future. The future life of this woman, Patricia, may seem impossible today, but is an example of how things once thought to be mere fantasy very quickly become reality.