Developing a computerized data collection and decision support system for cancer pain management.
Contemporary nursing practice needs reengineering to deliver its service effectively and efficiently. Using computer technology to support clinicians' decision making may be a parsimonious way to provide high-quality, patient-centered, efficient care. The process of developing the PAINReportIt and PAINConsultN system is described, and the results of two pilot studies in which the system was tested are summarized. The feasibility of using the system to assess pain and provide decision support for clinicians is demonstrated. The findings show PAINReportIt to be promising as an effective, efficient way for patients to report their pain. Whether PAINConsultN is an effective answer to cancer pain management barriers warrants further evaluation with larger samples. The advantages of using the system, as compared with use of the traditional pain management process, are discussed.
Huang
Hsiu-Ying
HY
Cancer Pain and Symptom Management Research Group, Department of Biobehavioral Nursing and Health Systems, School of Medicine, Box 357266, University of Washington, Seattle, WA 98195-7266, USA. hyhuang@u.washington.edu
Wilkie
Diana J
DJ
Zong
Shi-Ping Sam
SP
Berry
Donna
D
Hairabedian
Daniela
D
Judge
M Kay
MK
Farber
Stuart
S
Chabal
Charles
C
D020000:Decision Support Systems, Clinical; D006801:Humans; D009369:Neoplasms / Q000150:complications* / Q000451:nursing; D010146:Pain / Q000175:diagnosis / Q000451:nursing* / Q000523:psychology; D010147:Pain Measurement; D010865:Pilot Projects; D012984:Software