Version 1
: Received: 20 May 2020 / Approved: 22 May 2020 / Online: 22 May 2020 (10:43:06 CEST)
How to cite:
Lorkowski, J.; Malinowska, M. The Future of Medical Documentation - Review of Selected Literature. Preprints2020, 2020050350. https://doi.org/10.20944/preprints202005.0350.v1
Lorkowski, J.; Malinowska, M. The Future of Medical Documentation - Review of Selected Literature. Preprints 2020, 2020050350. https://doi.org/10.20944/preprints202005.0350.v1
Lorkowski, J.; Malinowska, M. The Future of Medical Documentation - Review of Selected Literature. Preprints2020, 2020050350. https://doi.org/10.20944/preprints202005.0350.v1
APA Style
Lorkowski, J., & Malinowska, M. (2020). <strong>The Future of Medical Documentation - Review of Selected Literature</strong>. Preprints. https://doi.org/10.20944/preprints202005.0350.v1
Chicago/Turabian Style
Lorkowski, J. and Maria Malinowska. 2020 "<strong>The Future of Medical Documentation - Review of Selected Literature</strong>" Preprints. https://doi.org/10.20944/preprints202005.0350.v1
Abstract
This work addresses the problem of the application of artificial intelligence to the creation and maintenance of medical documentation and the use of big data in medicine to support efficient patient diagnosis and treatment. This study covers the latest advances in AI and big data, based on literature reviews and interviews with leading experts in these fields. The following conclusions were obtained:(1) Based on the needs of patients and providers of medical services, and given the latest technological advances, all medical documentation should be digital and the processes of its creation, access, sharing, and consistency checking should by supported by suitably designed AI systems. (2) The knowledge contained in medical documentation constitutes a resource of strategic importance for humanity, with almost unlimited potential. (3) All medical documentation should be anonymised and should be made widely available, just like data and research results in the field of experimental physics. (4) This will accelerate development of new treatments, best practice and help to identify new medical emergencies, such as Covid-19.In practice today, unfortunately, the design of medical record systems is fragmented between institutions and countries, often focusing discussions on narrow technical details, and forcing clinicians to waste time on filling up multiple pages of illness history. This leads to many inefficiencies and lost opportunities and necessitates a fundamentally new approach.
Keywords
Medical documentation; medicine; public health; computer networks; artificial intelligence; AI; smart city
Subject
Medicine and Pharmacology, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
