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Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs)
Health care processes are under constant development and will need to embrace advances in technology and health science aiming to provide optimal care. Considering the perspective of increasing treatment options for people with rheumatic and musculoskeletal diseases, but in many cases not reaching a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251966/ https://www.ncbi.nlm.nih.gov/pubmed/35794905 http://dx.doi.org/10.1177/1759720X221105978 |
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author | De Cock, Diederik Myasoedova, Elena Aletaha, Daniel Studenic, Paul |
author_facet | De Cock, Diederik Myasoedova, Elena Aletaha, Daniel Studenic, Paul |
author_sort | De Cock, Diederik |
collection | PubMed |
description | Health care processes are under constant development and will need to embrace advances in technology and health science aiming to provide optimal care. Considering the perspective of increasing treatment options for people with rheumatic and musculoskeletal diseases, but in many cases not reaching all treatment targets that matter to patients, care systems bare potential to improve on a holistic level. This review provides an overview of systems and technologies under evaluation over the past years that show potential to impact diagnosis and treatment of rheumatic diseases in about 10 years from now. We summarize initiatives and studies from the field of electronic health records, biobanking, remote monitoring, and artificial intelligence. The combination and implementation of these opportunities in daily clinical care will be key for a new era in care of our patients. This aims to inform rheumatologists and healthcare providers concerned with chronic inflammatory musculoskeletal conditions about current important and promising developments in science that might substantially impact the management processes of rheumatic diseases in the 2030s. |
format | Online Article Text |
id | pubmed-9251966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-92519662022-07-05 Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs) De Cock, Diederik Myasoedova, Elena Aletaha, Daniel Studenic, Paul Ther Adv Musculoskelet Dis A Glance into the Future of Rheumatology Health care processes are under constant development and will need to embrace advances in technology and health science aiming to provide optimal care. Considering the perspective of increasing treatment options for people with rheumatic and musculoskeletal diseases, but in many cases not reaching all treatment targets that matter to patients, care systems bare potential to improve on a holistic level. This review provides an overview of systems and technologies under evaluation over the past years that show potential to impact diagnosis and treatment of rheumatic diseases in about 10 years from now. We summarize initiatives and studies from the field of electronic health records, biobanking, remote monitoring, and artificial intelligence. The combination and implementation of these opportunities in daily clinical care will be key for a new era in care of our patients. This aims to inform rheumatologists and healthcare providers concerned with chronic inflammatory musculoskeletal conditions about current important and promising developments in science that might substantially impact the management processes of rheumatic diseases in the 2030s. SAGE Publications 2022-06-30 /pmc/articles/PMC9251966/ /pubmed/35794905 http://dx.doi.org/10.1177/1759720X221105978 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | A Glance into the Future of Rheumatology De Cock, Diederik Myasoedova, Elena Aletaha, Daniel Studenic, Paul Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs) |
title | Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs) |
title_full | Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs) |
title_fullStr | Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs) |
title_full_unstemmed | Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs) |
title_short | Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs) |
title_sort | big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (rmds) |
topic | A Glance into the Future of Rheumatology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251966/ https://www.ncbi.nlm.nih.gov/pubmed/35794905 http://dx.doi.org/10.1177/1759720X221105978 |
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