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조현정,남은정,신일원,김선영 대한암학회 2020 Cancer Research and Treatment Vol.52 No.2
Purpose In Korea, hospice palliative care (HPC) provision for cancer patients has increased recently. However, whether end of life (EoL) care practices have improved along with the development of HPC is unclear. We intended to investigate the changes in EoL care practices and their association with HPC referral. Materials and Methods Retrospective medical record review of adult cancer patients who died at National Cancer Center Korea from 1 January 2009 to 31 December 2014 was performed. Changes of EoL practices including chemotherapy within 2 weeks from death, death in intensive care unit (ICU), documentation of “do not resuscitate (DNR)” within 7 days from death and referral to HPC from 2009 to 2014 were analyzed as well as the association between referral to HPC and other practices. Results A total of 2,377 cases were included in the analysis. Between 2009 and 2014, referral to HPC increased and DNR documentation within 7 days from death decreased significantly. Cases for chemotherapy within 2 weeks from death and death in ICU didn’t change over the study period. Patients referred to HPC were less likely to receive chemotherapy within 2 weeks from death, die in ICU and document DNR within 7 days from death. Conclusion During the study period, EoL practices among cancer patients partly changed toward less aggressive in our institution. HPC referral was associated with less aggressive cancer care at the EoL. Policies to promote EoL discussion are necessary to improve the EoL practices of cancer patients.
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Implementation of Hospital Examination Reservation System Using Data Mining Technique
차효성,윤태식,류기정,신일원,최양효,이경용,이재동,류근호,정승현 대한의료정보학회 2015 Healthcare Informatics Research Vol.21 No.2
Objectives: New methods for obtaining appropriate information for users have been attempted with the development of information technology and the Internet. Among such methods, the demand for systems and services that can improve patient satisfaction has increased in hospital care environments. Methods: In this paper, we proposed the Hospital Exam Reservation System (HERS), which uses the data mining method. First, we focused on carrying clinical exam data and finding the optimal schedule for generating rules using the multi-examination pattern-mining algorithm. Then, HERS was applied by a rule master and recommending system with an exam log. Finally, HERS was designed as a user-friendly interface. Results: HERS has been applied at the National Cancer Center in Korea since June 2014. As the number of scheduled exams increased, the time required to schedule more than a single condition decreased (from 398.67% to 168.67% and from 448.49% to 188.49%; p < 0.0001). As the number of tests increased, the difference between HERS and non-HERS increased (from 0.18 days to 0.81 days). Conclusions: It was possible to expand the efficiency of HERS studies using mining technology in not only exam reservations, but also the medical environment. The proposed system based on doctor prescription removes exams that were not executed in order to improve recommendation accuracy. In addition, we expect HERS to become an effective system in various medical environments.
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