Sa1203 The Development of e-Health Tools for the Management of Inflammatory Bowel Diseases

Deen, Welmoed K. van; Choi, Jung-In; Zand, Aria; Ha, Christina; Inserra, Elizabeth K.; Eimers, Laurin; Centeno, Adriana; Roth, Bennett E.; Cole, Daniel E.; Getzug, Terri; Kane, Ellen; Connolly, Lynn; Ovsiowitz, Mark; Ho, Andrew Dean; Oijen, Martijn G. van; Esrailian, Eric; Hommes, Daniël W.

doi:10.1016/s0016-5085(14)60807-6

Cited by 1 publication

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“…By using technology, patients can participate in their own care by signaling health outcomes during year round monitoring to enable earlier detection and treatment of exacerbations of disease activity. 2 Web-based management systems have been created for chronic diseases such as asthma, 3 diabetes mellitus, 4 5 congestive heart failure, 6 7 hypertension 8 and anticoagulation. 9 …”

Section: Introductionmentioning

confidence: 99%

What's app? Electronic health technology in inflammatory bowel disease

Walsh

Travis

2018

Intest Res

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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.

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