With the rapid rise of technology in the field of healthcare, cancer patients can now be monitored remotely with the aid of sensors in their smartphones.
Cancer patients who receive chemotherapy can be remotely monitored with the help of smartphone sensors, it also uses an algorithm to detect signs of worsening based on the changes in patient behavior, reveals a study. // The findings, published in the Journal of Medical Internet Research, indicate that worsening symptoms during cancer treatments can be detected using smartphones that patients likely already own and use.
‘The usage of smartphones for monitoring other chronic illness is also being researched on the basis whether they can be as beneficial as they are in the treatment of cancer.’
Real-time estimation of symptoms and side effects could provide an opportunity for doctors to intervene earlier between clinic visits, preventing unnecessary physician or hospital visits and improving patient quality of life. The study enrolled 14 patients who were undergoing chemotherapy treatment for gastrointestinal cancer at University of Pittsburgh and UPMC Hillman Cancer Center. They were asked to carry a smartphone for four weeks as they went about their daily lives.
Smartphone software developed by the researchers passively and continuously collected data on behavior patterns, such as the number of calls or texts sent and received, smartphone apps used, and the movement and location of the phone.
As part of the study, the patients were asked to rate the severity of 12 common symptoms, such as fatigue and nausea, at least once a day. They would classify each day as either a "higher-than-average burden," "average burden," or "low burden" day.
Researchers then used the data collected from the smartphone to develop an algorithm that could identify and correlate the patient's "high-symptom," "average-symptom" and "low-symptom" days with 88 percent accuracy.
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The researchers are conducting follow-up studies to determine whether the same passive sensing approach can be used to identify complications following cancer surgery.
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Source-Eurekalert