Honekamp Wilfried, Ostermann Herwig
University for Health Sciences, Medical Informatics and Technology (UMIT) Tyrol, Austria.
Open Med Inform J. 2010 Apr 9;4:12-20. doi: 10.2174/1874431101004010012.
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.
越来越多的人在网上搜索健康信息。在过去十年中,众多研究人员确定了理想的消费者健康信息系统的要求。本研究的目的是弄清楚,对于给定的病历,医学外行通过开发的原型健康信息系统是否比通过普通网络搜索能找到更准确的诊断。
在一项随机对照试验中,通过对两个样本病例的评估来评价原型信息系统。参与者必须通过在网上搜索到的信息来确定一名头痛患者的诊断。向参与者提供了一份患者病史表和一台可上网的电脑,并通过一个专门设计地研究网站引导他们完成研究。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。比较了每组中正确诊断的数量。
共有140名(60/80)参与者参加了两个研究部分。在确定常见诊断的第一个病例中,两组表现同样出色。在确定不太常见且更复杂病例的第二部分中,由于提供了量身定制的信息,干预组表现明显更好(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一种可行的策略,可提供可靠的针对患者的信息,并最终有助于通过互联网获取的信息保障患者安全。