Dipartimento di Scienze Cliniche e Sperimentali dell'Università degli Studi di Brescia, 25128 Brescia, Italy.
School of Computing and Engineering, University of Huddersfield, Huddersfield HD13DH, UK.
Int J Environ Res Public Health. 2020 Sep 11;17(18):6616. doi: 10.3390/ijerph17186616.
In the age of Evidence-Based Medicine, Clinical Guidelines (CGs) are recognized to be an indispensable tool to support physicians in their daily clinical practice. Medical Informatics is expected to play a relevant role in facilitating diffusion and adoption of CGs. However, the past pioneering approaches, often fragmented in many disciplines, did not lead to solutions that are actually exploited in hospitals. Process Mining for Healthcare (PM4HC) is an emerging discipline gaining the interest of healthcare experts, and seems able to deal with many important issues in representing CGs. In this position paper, we briefly describe the story and the state-of-the-art of CGs, and the efforts and results of the past approaches of medical informatics. Then, we describe PM4HC, and we answer questions like how can PM4HC cope with this challenge? Which role does PM4HC play and which rules should be employed for the PM4HC scientific community?
在循证医学时代，临床指南（CGs）被认为是支持医生日常临床实践的不可或缺的工具。医学信息学有望在促进 CGs 的传播和采用方面发挥相关作用。然而，过去的开创性方法往往分散在许多学科中，并没有导致在医院中实际应用的解决方案。医疗保健过程挖掘（PM4HC）是一个新兴学科，引起了医疗保健专家的兴趣，并且似乎能够解决在表示 CGs 方面的许多重要问题。在本立场文件中，我们简要描述了 CGs 的故事和现状，以及过去医学信息学方法的努力和结果。然后，我们描述了 PM4HC，并且回答了诸如 PM4HC 如何应对这一挑战？PM4HC 扮演什么角色，PM4HC 科学界应该采用哪些规则等问题。
