ONCOLOGIC PAIN INSTRUCTIONAL AND ADVISORY TREATMENT

目标是一个用户友好的软件系统，具有以下双重功能 癌症疼痛的智能导师和专家临床顾问 管理层。目标用户包括医疗、护理和药房 从学生到实践者级别的纪律。的功能 OPIAT方法包括PC环境中的可操作性；可视的， 可直接控制的界面(窗口、鼠标等)；以及运行时 与CLIPS集成(商业数据驱动、基于规则的专家 系统外壳)。探究的领域被细分为问题 子域，即患者数据输入、疼痛诊断、管理 (干预)决策，并对选定的可能结果进行模拟 决定。工作计划包括：(1)集约化知识工程 (基于文献、顾问和对进化知识的测试- 基础设计)；(2)综合软件的功能描述 从我们对第一阶段原型的经验演变而来的一揽子计划；(3) 开发(根据功能描述)工作的OPIAT程序， 最初以两种模式分开，然后合并为集成的 套餐：(4)目标用户对两种模式进行广泛测试， 将反馈纳入最终的一揽子计划；以及(5)软件 文档(用户和程序维护手册。)最终定稿 包将安装在NIH临床中心作为 为随后的第三阶段评估进行测试。

The goal is a user-friendly software system with dual functions of intelligent tutor and expert clinical consultant in cancer pain management. Targeted users comprise medical, nursing, and pharmacy disciplines from student through practitioner levels. Features of the OPIAT approach include operability in PC environments; a visual, directly-controllable interface (windows, mouse, etc.); and run-time integration with CLIPS (a commercial data-driven, rule-based expert system shell). The domain of inquiry is subdivided into problems subdomains, viz., patient data input, pain diagnosis, management (intervention) decision, and simulation of probable outcomes to selected decision. The work plan includes: (1) intensive knowledge engineering (based on literature, consultants, and testing of evolutionary knowledge- base designs); (2) functional description of a comprehensive software package evolving from our experience with the Phase I prototype; (3) development (from the functional description) of a working OPIAT program, initially in two modes, separately, then combined into an integrated package: (4) extensive testing of the two modes by targeted users, with incorporation of feedback into a finalized package; and (5) software documentation (user's and program maintenance manuals.) The finalized package will be installed at the NIH Clinical Center to serve as a testbed for subsequent Phase III evaluation.