Open AccessThe Promise of Small Data for Telemedicine in Chronic Condition Management: A Real-World Case Series
Author(s) -
Steven M. Schwartz,
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Brigid Byrd,
Helen Dempster,
Tim Payne,
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Publication year - 2021
Publication title -
clinical trials and practice: open journal
Language(s) - English
Resource type - Journals
ISSN - 2771-7380
DOI - 10.17140/ctpoj-4-117
Subject(s) - telehealth , digital health , telemedicine , usability , analytics , phone , ibm , health care , big data , ehealth , computer science , medicine , data science , data mining , human–computer interaction , linguistics , philosophy , materials science , economics , nanotechnology , economic growth
Connected care is defined as the “real-time, electronic communication between a patient and a provider, including telehealth, remote patient monitoring, and secure email communication between clinicians and their patients” (Alliance of Connected Care). Connected care can create a high-value interaction strategy with patients when it makes thoughtful use of commercially available digital health technologies with demonstrated both clinical and economic effectiveness. Karantis360™, is a home sensor technology that enables real-time tracking, data analytics and predictive care for personal (at home) care powered by IBM Watson Health. IndividuALLyticsTM is a telemedicine platform driven by a patent-pending an N-of-1 analytical engine and related digital dashboards that provides individual, patient-level evaluation of treatment response. The underlying technology combines disparate digital health technology data with the best evidence-base guidelines with N-of-1 methodology. The output allows for creation of personalized treatments empirically tested at the patient-level over time (aka over the course of care). When aggregated both within and across persons, the time-ordered data can build predictive pathways of behavior and ensure the relevant care and medical treatments are in place to support effective medical and self-management of chronic illness. This case-series report describes the implementation of a joint home sensor technology (big data) and an N-of-1 analytic engine (small data) with three elderly consented volunteer customers-patients of Karantis360™. Each person underwent successive, 2-week behavioral change treatment phases to determine usability, utility regarding medical and self-management and any proximal effects on health risks.