Digital patient records: McKinsey sees 80 billion euros of potential
The electronic patient record (ePA) is considered one of the greatest untapped potentials in the healthcare sector. According to a recent study by McKinsey, digital technology and AI could unleash the potential of up to 80 billion euros per year. The ePA could play a key role in this by improving access to medical data, optimising coordination between doctors and patients and increasing the efficiency of healthcare services. The focus is on integrating AI systems that can analyze data and support decisions without replacing the human physician. The study underlines that digital solutions in medicine can not only increase the quality of care, but also save costs and strengthen patient participation.
Another example of the use of AI in healthcare is the U.S. state of Utah, which for the first time approved an AI app to prescribe drugs for acne. The app will initially be used under medical supervision, which underlines the safety and trustworthiness of AI decisions. This pilot project demonstrates how AI systems can be used in practice to increase the efficiency of care while not replacing human competence. AI is understood here as support for medical practice, not as a substitute.
Infrastructure and security aspects also play a decisive role in the digital transformation of the healthcare industry. For example, T-Mobile US has distanced itself from Elon Musk’s Starlink after SpaceX sets up its own mobile network. The threat from established providers underscores the importance of having a secure and reliable digital infrastructure that meets the demands of modern medicine. Connecting AI and secure, self-hosted systems is critical to avoid data loss, misuse and security risks.
Another example of the integration of AI into the work process is the introduction of AI interviewers in the application process. Hackerrank introduced an AI interviewer called Chakra, who evaluates developers in interviews and analyzes how applicants arrive at solutions. This project shows how AI systems can be used in practice to increase the efficiency of recruitment processes while not threatening human competence. AI is understood here as a tool to support the human decision-making process, not as a substitute.
Digital transformation in healthcare therefore requires not only innovative technologies, but also smart integration that balances safety, efficiency and human competence.