TY - JOUR
T1 - Wearable health devices and personal area networks
T2 - can they improve outcomes in haemodialysis patients?
AU - Kooman, J.P.
AU - Wieringa, F.P.
AU - Han, M.
AU - Chaudhuri, S.
AU - van der Sande, F.M.
AU - Usvyat, L.A.
AU - Kotanko, P.
N1 - Funding Information:
F.W. is employee of IMEC, whereas M.H. and P.K. are employees of the Renal Research Institute, a wholly owned subsidiary of Fresenius Medicale Care (FMC). L.U. and S.C. are employees of FMC. J.K. and F.S. received reserach grant support from FMC in the past. There are no conflicts of interst with regards to the contents of the paper.
Publisher Copyright:
© 2020 The Author(s) 2020. Published by Oxford University Press on behalf of ERA-EDTA.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - Digitization of healthcare will be a major innovation driver in the coming decade. Also, enabled by technological advancements and electronics miniaturization, wearable health device (WHD) applications are expected to grow exponentially. This, in turn, may make 4P medicine (predictive, precise, preventive and personalized) a more attainable goal within dialysis patient care. This article discusses different use cases where WHD could be of relevance for dialysis patient care, i.e. measurement of heart rate, arrhythmia detection, blood pressure, hyperkalaemia, fluid overload and physical activity. After adequate validation of the different WHD in this specific population, data obtained from WHD could form part of a body area network (BAN), which could serve different purposes such as feedback on actionable parameters like physical inactivity, fluid overload, danger signalling or event prediction. For a BAN to become clinical reality, not only must technical issues, cybersecurity and data privacy be addressed, but also adequate models based on artificial intelligence and mathematical analysis need to be developed for signal optimization, data representation, data reliability labelling and interpretation. Moreover, the potential of WHD and BAN can only be fulfilled if they are part of a transformative healthcare system with a shared responsibility between patients, healthcare providers and the payors, using a step-up approach that may include digital assistants and dedicated 'digital clinics'. The coming decade will be critical in observing how these developments will impact and transform dialysis patient care and will undoubtedly ask for an increased 'digital literacy' for all those implicated in their care.
AB - Digitization of healthcare will be a major innovation driver in the coming decade. Also, enabled by technological advancements and electronics miniaturization, wearable health device (WHD) applications are expected to grow exponentially. This, in turn, may make 4P medicine (predictive, precise, preventive and personalized) a more attainable goal within dialysis patient care. This article discusses different use cases where WHD could be of relevance for dialysis patient care, i.e. measurement of heart rate, arrhythmia detection, blood pressure, hyperkalaemia, fluid overload and physical activity. After adequate validation of the different WHD in this specific population, data obtained from WHD could form part of a body area network (BAN), which could serve different purposes such as feedback on actionable parameters like physical inactivity, fluid overload, danger signalling or event prediction. For a BAN to become clinical reality, not only must technical issues, cybersecurity and data privacy be addressed, but also adequate models based on artificial intelligence and mathematical analysis need to be developed for signal optimization, data representation, data reliability labelling and interpretation. Moreover, the potential of WHD and BAN can only be fulfilled if they are part of a transformative healthcare system with a shared responsibility between patients, healthcare providers and the payors, using a step-up approach that may include digital assistants and dedicated 'digital clinics'. The coming decade will be critical in observing how these developments will impact and transform dialysis patient care and will undoubtedly ask for an increased 'digital literacy' for all those implicated in their care.
KW - blood pressure
KW - dialysis
KW - disease
KW - fluid overload
KW - haemodialysis
KW - physical activity
KW - physical-activity
KW - sensors
KW - starting dialysis
KW - systolic blood-pressure
KW - SENSORS
KW - SYSTOLIC BLOOD-PRESSURE
KW - DISEASE
KW - PHYSICAL-ACTIVITY
KW - STARTING DIALYSIS
U2 - 10.1093/ndt/gfaa015
DO - 10.1093/ndt/gfaa015
M3 - (Systematic) Review article
C2 - 32162666
SN - 0931-0509
VL - 35
SP - II43-II50
JO - Nephrology Dialysis Transplantation
JF - Nephrology Dialysis Transplantation
ER -