What's app? Electronic health technology in inflammatory bowel disease
Electronic health (eHealth) data collection is increasingly used in many chronic illnesses, to track pattern of disease. eHealth systems have the potential to revolutionize care. Inflammatory bowel disease (IBD) is a paradigm for such an approach: this is a chronic disease that usually affects young...
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Korean Association for the Study of Intestinal Diseases
2018-07-01
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Online Access: | http://www.irjournal.org/upload/pdf/ir-16-366.pdf |
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doaj-1b3b789b1b3d4d059b7a3d700f009aeb2020-11-25T00:58:12ZengKorean Association for the Study of Intestinal DiseasesIntestinal Research1598-91002288-19562018-07-0116336637310.5217/ir.2018.16.3.366306What's app? Electronic health technology in inflammatory bowel diseaseAlissa Walsh0Simon Travis1Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, .UKTranslational Gastroenterology Unit, John Radcliffe Hospital, Oxford, .UKElectronic health (eHealth) data collection is increasingly used in many chronic illnesses, to track pattern of disease. eHealth systems have the potential to revolutionize care. Inflammatory bowel disease (IBD) is a paradigm for such an approach: this is a chronic disease that usually affects young and technologically literate patient population, who are motivated to be involved in their own care. A range of eHealth technologies are available for IBD. This review considers the strengths and weaknesses of 7 platforms that focus on patient-provider interaction. These have been developed in Denmark, United States, the Netherlands, and the United Kingdom, demonstrating an international interest in this form of technology and interaction. Not only do these technologies aim to improve care but they also have the potential to collect large amounts of information. Information includes demographics and patient reported outcomes (symptoms, quality of life), quality of care (steroid use, among other metrics) and outcomes such as hospitalization. These data could inform quality improvement programmes to improve their focus. eHealth technology is also open to machine learning to analyze large data sets, through which personalized algorithms may be developed.http://www.irjournal.org/upload/pdf/ir-16-366.pdfMobile applicationsElectronic health recordsInflammatory bowel disease |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alissa Walsh Simon Travis |
spellingShingle |
Alissa Walsh Simon Travis What's app? Electronic health technology in inflammatory bowel disease Intestinal Research Mobile applications Electronic health records Inflammatory bowel disease |
author_facet |
Alissa Walsh Simon Travis |
author_sort |
Alissa Walsh |
title |
What's app? Electronic health technology in inflammatory bowel disease |
title_short |
What's app? Electronic health technology in inflammatory bowel disease |
title_full |
What's app? Electronic health technology in inflammatory bowel disease |
title_fullStr |
What's app? Electronic health technology in inflammatory bowel disease |
title_full_unstemmed |
What's app? Electronic health technology in inflammatory bowel disease |
title_sort |
what's app? electronic health technology in inflammatory bowel disease |
publisher |
Korean Association for the Study of Intestinal Diseases |
series |
Intestinal Research |
issn |
1598-9100 2288-1956 |
publishDate |
2018-07-01 |
description |
Electronic health (eHealth) data collection is increasingly used in many chronic illnesses, to track pattern of disease. eHealth systems have the potential to revolutionize care. Inflammatory bowel disease (IBD) is a paradigm for such an approach: this is a chronic disease that usually affects young and technologically literate patient population, who are motivated to be involved in their own care. A range of eHealth technologies are available for IBD. This review considers the strengths and weaknesses of 7 platforms that focus on patient-provider interaction. These have been developed in Denmark, United States, the Netherlands, and the United Kingdom, demonstrating an international interest in this form of technology and interaction. Not only do these technologies aim to improve care but they also have the potential to collect large amounts of information. Information includes demographics and patient reported outcomes (symptoms, quality of life), quality of care (steroid use, among other metrics) and outcomes such as hospitalization. These data could inform quality improvement programmes to improve their focus. eHealth technology is also open to machine learning to analyze large data sets, through which personalized algorithms may be developed. |
topic |
Mobile applications Electronic health records Inflammatory bowel disease |
url |
http://www.irjournal.org/upload/pdf/ir-16-366.pdf |
work_keys_str_mv |
AT alissawalsh whatsappelectronichealthtechnologyininflammatoryboweldisease AT simontravis whatsappelectronichealthtechnologyininflammatoryboweldisease |
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