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The Design of the Self-diagnosis Algorithm for the Efficient Control of Sudden Cancer Pain

효율적인 돌발성 암 통증 관리를 위한 자가 진단 알고리즘 설계

  • 정은영 (가천대학교 길병원 유헬스케어센터) ;
  • 은성종 (가천대학교 IT대학 컴퓨터미디어융합학과) ;
  • 정병희 (BioResearchComplexICT연구팀) ;
  • 이용준 (한국전자통신연구원) ;
  • 박동균 (가천대학교 길병원 유헬스케어센터)
  • Received : 2014.03.27
  • Accepted : 2014.05.14
  • Published : 2014.05.28

Abstract

Pain is one of the most common and painful symptoms that cancer patients suffer from. Pain seriously affects 30-50% of the patients at the early cancer diagnosis stage or who receive active anticancer treatments, 60-70% of the patients with progressive cancer, and 80-90% of the patients at the late stage of cancer. However, there is no systematic and easy pain control program for the cancer patients. In this study, an algorithm is proposed to provide quick pain relief service upon the occurrence of sudden pain, for the purpose of controlling the sudden pain that cancer operation survivors experience. In developing the algorithm, questionnaires, evaluation forms and National Comprehensive Cancer Network (NCCN) guideline were considered, and a trial service was provided to a group of 20 cancer patients for a month to evaluate the designed algorithm. The results of the trial service were examined by expert medical workers to evaluate the proposed algorithm, and a 90% compatibility decision was derived, which verified the effectiveness of the proposed algorithm. In the case of incompatibility decision, the management of the pain diary did not have compatible results. Therefore, the further study will additionally address the customized pain diary algorithm.

Keywords

Sudden Cancer Pain;Cancer Patient;Self-Control Algorithm of Cancer Pain;Cancer Pain Guideline

Acknowledgement

Grant : 만성질환자를 위한 멀티 플랫폼 기반 건강관리 및 증진서비스 개발

Supported by : 한국산업기술평가관리원

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  1. The Factors of Pain and Pain Management after Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma vol.17, pp.2, 2017, https://doi.org/10.5388/aon.2017.17.2.107