De Simone R, Marano E, Bonavita V
Headache Centre, Department of Neurological Sciences, Federico II University, Via Pansini 5, I-80131 Naples, Italy.
Neurol Sci. 2004 Oct;25 Suppl 3:S218-22. doi: 10.1007/s10072-004-0290-8.
Because of the lack of biochemical or neuroradiological markers, the diagnostic assessment of primary headaches rests on a clinical history collected by an experienced physician; the articulated criteria of the International Headache Society (IHS) represent the only available tool to test objectively the diagnostic hypothesis rising from clinical interview. However, the complexity reached by IHS criteria still represents its major limit to extensive application, at least in common clinical settings. The use of modern information technology (IT), which is specifically designed to manage complex problems with a large number of variables, seems to be the best choice to counteract the complexity of IHS classification. In this paper AIDA CEFALEE, a user-friendly client-server database for the management of headache patients, is presented. The system integrates a computer assisted diagnosis module, which may help to extend the correct use of IHS diagnostic criteria to any clinical setting. The interoperability of the system may represent the possible infrastructure of a National Network of ANIRCEF Headache Centres.
由于缺乏生化或神经放射学标志物，原发性头痛的诊断评估依赖于经验丰富的医生收集的临床病史；国际头痛协会（IHS）明确的标准是唯一可用于客观检验临床问诊中产生的诊断假设的工具。然而，IHS标准的复杂性仍是其广泛应用的主要限制，至少在普通临床环境中如此。专门设计用于处理具有大量变量的复杂问题的现代信息技术（IT）的使用，似乎是应对IHS分类复杂性的最佳选择。本文介绍了AIDA CEFALEE，这是一个用于管理头痛患者的用户友好型客户端-服务器数据库。该系统集成了一个计算机辅助诊断模块，可有助于将IHS诊断标准的正确使用扩展到任何临床环境。该系统的互操作性可能代表ANIRCEF头痛中心国家网络的可能基础设施。
