Decentralized and Mobile Monitoring of Assisted Livings' Lifestyle “use case pilot within” Interoperability of Heterogeneous IoT Platforms INTER-IoT

Mortara, M.; Costa, Anna Helena Reali; Gulino, M.; Uberti, Massimo; Bernini, Luciano; Corona, Massimo; Luca, Ilaria De; Minutolo, M.; Dimartino, Angela; Aldrighetti, Anna; Rinaldi, Maurizia; Strona, Elisa; Gagliano, Mara; Maggi, Claudio

doi:10.1016/j.numecd.2019.05.023

Cited by 1 publication

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“…With embedded sensors, IoT will allow clinician access to patient data outside of the hospital, it may record and analyze their heart rhythm in complex cardiac patients, 26 remind patients to take medications, 27,28 or track their lifestyle such as weight and nutrition. 29,30 These types of data have traditionally been relied on patients’ recall and are prone to bias. These untapped sources of information on patient life outside of the hospital have largely been unexamined by traditional research.…”

Section: Lessons Learnedmentioning

confidence: 99%

Advanced Data Analytics for Clinical Research Part II: Application to Cardiothoracic Surgery

Zhou

Corsini

Jin

et al. 2020

Innovations�(Phila)

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In the first part of this series, we introduced the tools of Big Data, including Not Only Standard Query Language data warehouse, natural language processing (NLP), optical character recognition (OCR), and Internet of Things (IoT). There are nuances to the utilization of these analytics tools, which must be well understood by clinicians seeking to take advantage of these innovative research strategies. One must recognize technical challenges to NLP, such as unintended search outcomes and variability in the expression of human written texts. Other caveats include dealing written texts in image formats, which may ultimately be handled with transformation to text format by OCR, though this technology is still under development. IoT is beginning to be used in cardiac monitoring, medication adherence alerts, lifestyle monitoring, and saving traditional labs from equipment failure catastrophes. These technologies will become more prevalent in the future research landscape, and cardiothoracic surgeons should understand the advantages of these technologies to propel our research to the next level. Experience and understanding of technology are needed in building a robust NLP search result, and effective communication with the data management team is a crucial step in successful utilization of these technologies. In this second installment of the series, we provide examples of published investigations utilizing the advanced analytic tools introduced in Part I. We will explain our processes in developing the research question, barriers to achieving the research goals using traditional research methods, tools used to overcome the barriers, and the research findings.

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