Clinical Trials

Overview

About this study

The purpose of this study is to:

1. To use natural language processing techniques applied to Twitter posts during a 1 month pre and 3 month postoperative surveillance of patients undergoing spine surgery in an effort to identify risk of 30-day postoperative complications, as well as long-term improvement in symptoms.

2. To use signal processing analytics applied to mobility data gathered from smartphone accelerometers (e.g. iPhone health app) during a 1 month pre and 3 month postoperative surveillance of patients undergoing spine surgery in an effort to identify risk of 30-day postoperative complications, as well as long-term improvement in symptoms.

3. To correlate #1 and #2 with A. patient baseline disease severity with regard to functional status according to patient reported outcome surveys (e.g. Owestry Disability Index and PROMIS10), B. Postoperative changes with regard to the metrics defined in section A, and C. traditional postoperative quality metrics (e.g. 30-day readmission, reoperation, length of stay)

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Participating Mayo Clinic locations

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