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Medicine is about to become Data Science supported by Clinicians



The Medical Internet of Things (mIoT) is already collecting massive amounts of Big Data in healthcare. According to a paper published by Dimiter V. Dimitrov MD PhD for the Korean Society of Medical Informatics (Healthc Inform Res. 2016 Jul;22(3):156-163. https://doi.org/10.4258/hir.2016.22.3.156), technologies can now reduce overall costs for the prevention or management of chronic illnesses as many patients use mobile apps and smartphones. These devices can constantly monitor health indicators, auto-administer therapies, or track real-time health data when a patient self-administers a therapy. Research that might have taken two years can now be done in two months.

Dimitrov says mIoT is a critical piece of the digital transformation of healthcare, “It allows new business models to emerge and enables changes in work processes, productivity improvements, cost containment and enhanced customer experiences.”

Big Data is defined by the three V’s: Volume, Variety and Velocity. It includes vast amounts of data, significant heterogeneity in the type of data, and an ability to be quickly accessed and analyzed. Others add Veracity and Valence. Examples of the most complex datasets include:


- Imaging (photos, X-rays, MRIs, and slides)

- Wave analysis such as EEG and ECG

- Audio files with associated transcripts

- Free text notes with natural language processing (NLP) outputs

- Mappings between structured concepts such as lab tests and the Logical Observation Identifiers - Names and Codes (LOINC) codes or the International Classification of Diseases-9 (ICD9) and ICD10 codes

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