Do No Harm. Matthew WebsterЧитать онлайн книгу.
to go after from a data perspective. That information can be used to focus product innovation. Quite often, this ties back to the Silicon Valley business model, which works with hospitals and other health practitioners to get feedback from them about improvements that need to be made. This, in turn, will increase the amount of data, which is a small part of the reason we will continue to see more data in the years to come.
In Summary
We have been on a short exploration of how big data fits into the big picture of both hospitals and IoMT devices. We have explored how big data fits into the overall Medicine 2.0 as data is part of the advancement of not only medical science, but also for protecting patients that utilize IoMT. As our IoMT devices become more sophisticated and capable of even deeper readings than ever before, this will only catapult our understanding of medicine even further. That shift will help us be more preventative and thus save lives and also further reduce our healthcare expenditures.
On the data science side of things, whether you are talking about deep learning, machine learning, or artificial intelligence, these practices help the data scientists to aggregate, correlate, and present key findings more quickly. They are a critical tool to help sort through vast quantities of data. They help to make data science much easier and the role of data scientists more important for the companies that rely on big data whether they are working on population health, advertising, or myriad other disciplines—including information security.
The utilization of this data is a brilliant and clearly fantastic use of resources on many fronts. But, there is clearly room for improvement as privacy rights, from many people's perspective, are being violated. We clearly need a better approach going forward not only from an IoMT perspective, but also from a data perspective.
Notes
1 1 “Using IoMT to serve medically high-risk populations. How Catalytic Health Partners uses IoMT solutions to provide cost-effective, quality care,” https://www.t-mobile.com/business/resources/articles/catalytic-health-partners.
2 2 “Using RFID technology to reduce medication errors,” https://hospitalnews.com/using-rfid-technology-to-reduce-medication-errors/.
3 3 Nir Menachemi and Taleah H. Collum, “Benefits and drawbacks of electronic health records systems,” 2011, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270933/.
4 4 “4 ways data is improving healthcare,” 2019, https://www.weforum.org/agenda/2019/12/four-ways-data-is-improving-healthcare/.
5 5 Tim Fisher, “Terabyte, Gigabytes, & Petabytes: How Big Are They? An understandable guide to everything from Bytes to Yottabytes,” 2020, https://www.lifewire.com/terabytes-gigabytes-amp-petabytes-how-big-are-they-4125169.
6 6 Matt Troutman, “See If Your NYC Neighborhood Falls in A Coronovirus Closure Zone: Maps show the borders of a new color-coded, tiered closure system that takes effect Thursday in Brooklyn and Queens,” 2020, https://patch.com/new-york/new-york-city/see-if-your-nyc-neighborhood-falls-coronavirus-closure-zone.
7 7 D. P. Paul III, S. Clemente, R., McGrady, R. Repass, & A. Coustasse, “Medicare and the ACA: Shifting the paradigm of fraud detection.” Presentation at the Academy of Business Research Fall 2016 Conference, Atlantic City, NJ, September, 2016, https://mds.marshall.edu/cgi/viewcontent.cgi?referer=https://www.google.com/&httpsredir=1&article=1171&context=mgmt_faculty.
8 8 Stephany Tandy-Connor, Jenna Guiltinan MS, Kate Krempely MS, Holly LaDuca MA, Patrick Reineke, Stephanie Gutierrez, Phillip Gray PhD, Brigette Tippin David PhD, “False-positive results released by direct-to-consumer genetic tests highlight the importance of clinical confirmation testing for appropriate patient care,” 2018, https://www.nature.com/articles/gim201838.
9 9 Ibid.
10 10 Bradley Malin PHD, “Guidance Regarding Methods for De-identification of Protected Health Information in Accordance with the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule,” 2012, https://www.hhs.gov/sites/default/files/ocr/privacy/hipaa/understanding/coveredentities/De-identification/hhs_deid_guidance.pdf?language=es.
11 11 Patientory Inc., “Data Brokers Have Access to your Health Information, Do You?” November 16, 2018 https://medium.com/@patientory/data-brokers-have-access-to-your-health-information-do-you-562b0584e17e
12 12 Ibid.
13 13 Catherine Tucker and Nico Neumann, “Buying Consumer Data? Tread Carefully,” 2020, https://hbr.org/2020/05/buying-consumer-data-tread-carefully.
14 14 Ibid.
15 15 Nathan Newman, “How Big Data Enables Economic Harm to Consumers, Especially to Low-Income and Other Vulnerable Sectors of the Population,” https://www.ftc.gov/system/files/documents/public_comments/2014/08/00015-92370.pdf.
16 16 Ibid.
17 17 Ibid.
18 18 Zak Doffman, “Black Lives Matter: U.S. Protesters Tracked by Secretive Phone Location Technology,” 2020, https://www.forbes.com/sites/zakdoffman/2020/06/26/secretive-phone-tracking-company-publishes-location-data-on-black-lives-matter-protesters/#7dcab0984a1e.
19 19 Louise Matsakis, “The WIRED Guide to Your Personal Data (and Who Is Using It): Information about you, what you buy, where you go, even where you look is the oil that fuels the digital economy,” 2019,