[Challenges of digitalization in trauma care].

Area of Science:

• Digital health
• Medical informatics
• Trauma care innovation

Background:

• Digitalization offers new avenues for healthcare, particularly in treating severe injuries.
• Emerging technologies like big data, artificial intelligence (AI), intelligence augmentation, and machine learning hold potential for improving patient outcomes.
• The TraumaRegister DGU® (TR-DGU) is a significant German database for severely injured patients, presenting opportunities for digital health applications.

Purpose of the Study:

• To explore innovative applications of digital methods for enhancing the treatment of severe injuries.
• To identify potential data sources, such as the TR-DGU, for digital health innovations in trauma care.
• To highlight challenges and areas for development in digitizing trauma care.

Main Methods:

• Review of current digital health technologies (big data, AI, machine learning).
• Analysis of the potential and limitations of large patient databases like TR-DGU.
• Identification of key challenges in data integration and utilization for trauma care.

Main Results:

• Digital methods offer promising avenues for improving severe injury management.
• The TR-DGU database is a valuable resource but faces challenges in data transfer, interoperability, standardization, and data protection.
• Successful implementation requires addressing these data-related issues and developing methods for linking diverse data sources.

Conclusions:

• Digitizing trauma care requires overcoming significant data-related hurdles.
• Further development of analysis methods and intelligent data linking strategies are crucial for realizing the potential of digital health in trauma care.
• Addressing data transfer, interoperability, standardization, and data protection is essential for leveraging databases like TR-DGU effectively.