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DOI: 10.1055/s-0038-1641199
The Datafication of Everything — Even Toilets
Publikationsverlauf
Publikationsdatum:
22. April 2018 (online)
Summary
Health informatics has benefitted from the development of Info-Communications Technology (ICT) over the last fifty years. Advances in ICT in healthcare have now started to spur advances in Data Technology as hospital information systems, electronic health and medical records, mobile devices, social media and Internet Of Things (IOT) are making a substantial impact on the generation of data. It is timely for healthcare institutions to recognize data as a corporate asset and promote a data-driven culture within the institution. It is both strategic and timely for IMIA, as an international organization in health informatics, to take the lead to promote a data-driven culture in healthcare organizations. This can be achieved by expanding the terms of reference of its existing Working Group on Data Mining and Big Data Analysis to include (1) data analytics with special reference to healthcare, (2) big data tools and solutions, (3) bridging information technology and data technology and (4) data quality issues and challenges.
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References
- 1 Pam Baker. The datafication of everything-even toilets. FierceBigData, July 29, 2013
- 2 Technicon Medical Information System (TMIS) - in clinfowiki http://clinfowiki.org/wiki/index.php/Technicon_Medical_Information_System
- 3 Problem Oriented Medical Record. Striteli School of Medicine, USA http://www.stritch.luc.edu/lumen/MedEd/MEDICINE/subint/POMR.pdf
- 4 Gardner RM, Pryor TA, Warner RH. The HELP Hospital Information System: update 1998. Int J Med Inform 1999; 54 (03) 169-82
- 5 Raghupathi W. Raghupathi V Big data analytics in healthcare: promise and potential. Health Inf Sci Syst. 2014 2:3
- 6 Jack Ma's Opening Address at CeBit, Hannover, Germany 2015. https://www.cebit.de/en/news-trends/news/jack-mas-opening-address-1609
- 7 Uber, FB, Airbnb What do they have in common? Post by Scott Wang in E-Commerce. scottwang333.wordpress.com/2015/11/25/uber-fb-airbnb-what-do-they-have-in-common/
- 8 Fostering a data driven culture. A report from the Economist Intelligence Unit, The Economist; 2013
- 9 Hall SD. Geisinger moves from one-off projects to data use in everyday practice. FierceHealthcare, May 9, 2016
- 10 Wagner MM, Hogan WR. The accuracy of medication data in an outpatient electronic medical record. J Am Med Inform Assoc 1996; May-Jun; 3 (03) 234-44
- 11 Why We Must Keep Track of Errors in Electronic Medical Records. Scientific American. https://www.scientificamerican.com/article/why-we-must-keeptrack-of-errors-in-electronic-medical-records/
- 12 Giday A. A Million Geocode Data Visualization With ggplot2. . https://rstudio-pubs-static.s3.amazonaws.co/239436_cc5ab5d271ca4c-229c01e33d0788b49d.html#
- 13 The John Snow Archive and Research Companion http://johnsnow.matrix.msu.edu/index.php
- 14 Davenport TH, Patil DJ. Data Scientist: The Sexiest Job of the 21st Century. Harvard Business Review, October 2012. https://hbr.org/2012/10/data-scien-tist-the-sexiest-job-of-the-21st-century