Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study.
Carissa A LowMeng LiJulio VegaKrina C DuricaDenzil FerreiraVernissia TamMelissa E HoggHerbert J ZehAfsaneh DoryabAnind K DeyPublished in: JMIR cancer (2021)
Results suggest that digital biomarkers may be useful in predicting patient-reported symptom burden before and after cancer surgery. Although model performance in this small sample may not be adequate for clinical implementation, findings support the feasibility of collecting mobile sensor data from older patients who are acutely ill as well as the potential clinical value of mobile sensing for passive monitoring of patients with cancer and suggest that data from devices that many patients already own and use may be useful in detecting worsening perioperative symptoms and triggering just-in-time symptom management interventions.
Keyphrases
- patient reported
- patients undergoing
- minimally invasive
- coronary artery bypass
- electronic health record
- cardiac surgery
- end stage renal disease
- primary care
- ejection fraction
- healthcare
- peritoneal dialysis
- papillary thyroid
- surgical site infection
- risk assessment
- squamous cell carcinoma
- young adults
- acute coronary syndrome
- patient reported outcomes
- human health
- artificial intelligence
- percutaneous coronary intervention