基于自述的互联网信息供应:专家系统与元搜索引擎的结合能否帮助消费者找到所需的健康信息?

Wilfried Honekamp, Herwig Ostermann
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摘要

越来越多的人在网上搜索健康信息。在过去的 10 年中,不同的研究人员已经确定了理想的消费者健康信息系统的要求。这项研究的目的是要弄清,与普通的互联网搜索相比,医学门外汉是否能通过开发的原型健康信息系统为给定的病症找到更准确的诊断。参与者必须通过网络搜索到的信息确定一位头痛患者的诊断。我们向参与者提供了一份患者病历表和一台可上网的电脑,并通过专门设计的研究网站指导他们完成研究。干预组使用原型信息系统;对照组使用普通搜索引擎和门户网站。共有 140 人(60/80)参加了两个研究部分。在确定常见诊断的第一部分中,两组的表现不相上下。在第二部分中,由于提供了量身定制的信息,干预组的表现明显更好(P=0.031)。将医学专家系统与门户网站搜索元搜索引擎结合使用,是提供可靠的、为患者量身定制的信息的可行策略,并能最终促进患者在互联网信息方面的安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Anamneses-Based Internet Information Supply: Can a Combination of an Expert System and Meta-Search Engine Help Consumers find the Health Information they Require?

An increasing number of people search for health information online. During the last 10 years various researchers have determined the requirements for an ideal consumer health information system. The aim of this study was to figure out, whether medical laymen can find a more accurate diagnosis for a given anamnesis via the developed prototype health information system than via ordinary internet search.In a randomized controlled trial, the prototype information system was evaluated by the assessment of two sample cases. Participants had to determine the diagnosis of a patient with a headache via information found searching the web. A patient's history sheet and a computer with internet access were provided to the participants and they were guided through the study by an especially designed study website. The intervention group used the prototype information system; the control group used common search engines and portals. The numbers of correct diagnoses in each group were compared.A total of 140 (60/80) participants took part in two study sections. In the first case, which determined a common diagnosis, both groups did equally well. In the second section, which determined a less common and more complex case, the intervention group did significantly better (P=0.031) due to the tailored information supply.Using medical expert systems in combination with a portal searching meta-search engine represents a feasible strategy to provide reliable patient-tailored information and can ultimately contribute to patient safety with respect to information found via the internet.

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