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A Drug-Free, Digital, Self-Management Tool for Chronic Pain Patients Powered by Artificial Intelligence – A Pilot Trial

Polston, Gary R ; Klement, Maria LU ; Axelsson, Ulrika ; Olsson, Mattias LU ; Göran, Barkfors and Borrebaeck, Carl LU (2022) In Annals of Clinical Case Reports 7(1).
Abstract
We describe the design and clinical utility of a digital tool aimed to increase the quality of life for chronic pain patients. PainDrainer™ is a drug-free, self-management tool, powered by artificial intelligence that adapts to the self-reported activities of each individual patient, resulting in a truly patient-centric support. The tool was tested in an open label, one-arm pilot study performed in two phases, encompassing in total 15 patients. The change in quality of life, pre-and post-treatment by using PainDrainer™, was measured using a PROMIS® Pain Interference 6a validated questionnaire. The outcome showed a statistically significant improvement in pain interference, surpassed the minimal important difference between T-scores, and... (More)
We describe the design and clinical utility of a digital tool aimed to increase the quality of life for chronic pain patients. PainDrainer™ is a drug-free, self-management tool, powered by artificial intelligence that adapts to the self-reported activities of each individual patient, resulting in a truly patient-centric support. The tool was tested in an open label, one-arm pilot study performed in two phases, encompassing in total 15 patients. The change in quality of life, pre-and post-treatment by using PainDrainer™, was measured using a PROMIS® Pain Interference 6a validated questionnaire. The outcome showed a statistically significant improvement in pain interference, surpassed the minimal important difference between T-scores, and showed a reduction in pain intensity after six weeks’ treatment. In conclusions the study showed both patient acceptance and improvement in quality of life for chronic pain patients. (Less)
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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Annals of Clinical Case Reports
volume
7
issue
1
article number
2226
publisher
Remedy Publications
ISSN
2474-1655
DOI
10.25107/2474-1655.2226
language
English
LU publication?
yes
id
22a76ca3-f7b4-4558-8ae0-07a0dfe45ab8
alternative location
https://www.anncaserep.com/abstract.php?aid=8982
date added to LUP
2026-05-06 11:27:08
date last changed
2026-06-12 13:44:37
@article{22a76ca3-f7b4-4558-8ae0-07a0dfe45ab8,
  abstract     = {{We describe the design and clinical utility of a digital tool aimed to increase the quality of life for chronic pain patients. PainDrainer™ is a drug-free, self-management tool, powered by artificial intelligence that adapts to the self-reported activities of each individual patient, resulting in a truly patient-centric support. The tool was tested in an open label, one-arm pilot study performed in two phases, encompassing in total 15 patients. The change in quality of life, pre-and post-treatment by using PainDrainer™, was measured using a PROMIS® Pain Interference 6a validated questionnaire. The outcome showed a statistically significant improvement in pain interference, surpassed the minimal important difference between T-scores, and showed a reduction in pain intensity after six weeks’ treatment. In conclusions the study showed both patient acceptance and improvement in quality of life for chronic pain patients.}},
  author       = {{Polston, Gary R and Klement, Maria and Axelsson, Ulrika and Olsson, Mattias and Göran, Barkfors and Borrebaeck, Carl}},
  issn         = {{2474-1655}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Remedy Publications}},
  series       = {{Annals of Clinical Case Reports}},
  title        = {{A Drug-Free, Digital, Self-Management Tool for Chronic Pain Patients Powered by Artificial Intelligence – A Pilot Trial}},
  url          = {{http://dx.doi.org/10.25107/2474-1655.2226}},
  doi          = {{10.25107/2474-1655.2226}},
  volume       = {{7}},
  year         = {{2022}},
}