Why digital medicine depends on interoperability
By M. Lehne, J. Sass, Andrea Essenwanger, Josef Schepers, S. Thun. npj Digital Medicine, 2019
386 citations recorded by the source corpus.
Digital data are anticipated to transform medicine. However, most of today’s medical data lack interoperability: hidden in isolated databases, incompatible systems and proprietary software, the data are difficult to exchange, analyze, and interpret. This slows down medical progress, as technologies that rely on these data – artificial intelligence, big data or mobile applications – cannot be used to their full potential. In this article, we argue that interoperability is a prerequisite for the digital innovations envisioned for future medicine. We focus on four areas where interoperable data and IT systems are particularly important: (1) artificial intelligence and big data; (2) medical communication; (3) research; and (4) international cooperation. We discuss how interoperability can facilitate digital transformation in these areas to improve the health and well-being of patients worldwide.
Subfields: Health Informatics, Health Information Management
View Paper: https://www.semanticscholar.org/paper/55e940f7b3006d89361585505e218d523b93a733
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Citations in the corpus
- Recommendations for policy and practice of telepsychotherapy and e-mental health in Europe and beyond. (2020, background): “Having high-quality, interoperable platforms and records to provide psychotherapists and clients easy access to up-to-date clinical information, can lead to improved care, client empowerment, and decreased documentation burden (Lehne et al., 2019).”
- Exploring students’ perspectives on Generative AI-assisted academic writing (2024, neutral): “Eighth, a lack of interoperability was perceived as another challenge as identified by previous studies (Kim & Cho, 2023; Lehne et al., 2019).”
- Surgical data science – from concepts toward clinical translation (2020, background): “However, a strict semantic annotation is a prerequisite for guaranteeing retrievability and interoperability (Lehne et al., 2019).”
- The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century (2024, background): “Interoperability between systems: Another major challenge in integrating AI into healthcare is the issue of interoperability—the ability of different healthcare IT systems and software applications to communicate, exchange data, and use the information that has been exchanged [168].”