Fors U G, Sandberg H C
Department of Humanities, Informatics and Social Sciences, Karolinska Institute, PO Box 17913, S-1 18 95 Stockholm, Sweden.
Quintessence Int. 2001 Apr;32(4):309-20.
The Hidep risk management model has been developed and tested in clinical settings with promising results, but a tool facilitating the work has been suggested. The aim of the present study was to create and evaluate a computerized tool capable of creating overviews of the oral health situation as well as identifying risk factors and at-risk patients. The system developed should also facilitate the clinical work, for example, by assisting the user with automatic calculation of suitable Hidep groups and selection and printing of relevant patient information letters.
The system developed was based on the Hidep model, combining a number of available examination methods, risk estimation systems, and treatment suggestions. The development strategy included stepwise improvements and functionality increase based on continuous clinical applicability tests in a large international test bed.
The results indicated that the software created was user friendly enough to be used in a common dental clinic and capable of handling the basic data of both patients and their oral health situation. The system could present useful statistics and graphs describing the overall oral health situation and identifying relevant risk groups and risk factors, based on virtually unlimited parameter combinations.
The computer system developed seems to be an important step toward the possibility of creating a close-to-the-clinic model for oral health care management based on actual and locally derived patient data and risk factors. The results of this project encourage further studies of the Hidep model and its computer support.
Hidep风险管理模型已在临床环境中开发并测试，取得了有前景的结果，但有人建议开发一种便于开展相关工作的工具。本研究的目的是创建并评估一种计算机化工具，该工具能够生成口腔健康状况概述，识别风险因素和高危患者。所开发的系统还应便于临床工作，例如，通过协助用户自动计算合适的Hidep分组以及选择和打印相关患者信息信函。
所开发的系统基于Hidep模型，结合了多种可用的检查方法、风险评估系统和治疗建议。开发策略包括在一个大型国际试验平台上基于持续的临床适用性测试逐步改进和增加功能。
结果表明，所创建的软件足够用户友好，可在普通牙科诊所使用，并且能够处理患者及其口腔健康状况的基本数据。该系统能够基于几乎无限的参数组合，呈现描述整体口腔健康状况、识别相关风险组和风险因素的有用统计数据和图表。
所开发的计算机系统似乎是朝着基于实际的本地患者数据和风险因素创建接近临床的口腔医疗管理模型迈出的重要一步。该项目的结果鼓励对Hidep模型及其计算机支持进行进一步研究。
