Digital Phenotyping, Wearables, and Outcomes

Anshul Ratnaparkhi; Joel Beckett

doi:10.1016/j.nec.2023.11.009

Digital Phenotyping, Wearables, and Outcomes

Neurosurg Clin N Am. 2024 Apr;35(2):235-241. doi: 10.1016/j.nec.2023.11.009. Epub 2023 Dec 21.

Authors

Anshul Ratnaparkhi¹, Joel Beckett²

Affiliations

¹ Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles.
² Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles; David Geffen School of Medicine, University of California Los Angeles. Electronic address: JBeckett@mednet.ucla.edu.

PMID: 38423739
DOI: 10.1016/j.nec.2023.11.009

Abstract

There is a significant need for robust and objective outcome assessments in spine surgery. Constant monitoring via smartphones and wearable devices has the potential to fill this role by providing an in-depth picture of human well-being, creating an unprecedented amount of objective data to augment clinical decision-making. The metrics obtained from continuous patient monitoring increase the amount and ecological validity of data relevant to spine surgery. This can provide physicians with patient and disease-specific medical information, facilitating personalized patient care.

Keywords: Artificial intelligence; Digital phenotyping; Machine learning; Spine surgery; Wearables.

Publication types

Review

MeSH terms

Clinical Decision-Making*
Humans
Wearable Electronic Devices*