A National Minimum Health Log Standard; SAMILOG

Author:

İşleyen Filiz1ORCID,Ülgü Mustafa Mahir1ORCID,Gülkesen Kemal Hakan2ORCID

Affiliation:

1. T.C. Sağlık Bakanlığı

2. AKDENİZ ÜNİVERSİTESİ

Abstract

Aim: Health data is considered highly sensitive, and the protection of health data is an ethical and legal responsibility. Healthcare organizations use various security measures and techniques to adopt a secure electronic health records system, including keeping log data. HIS developers kept the log records according to their needs by making the necessary coding for the "change-delete" triggers. Therefore, the need to develop a common standard for keeping diaries in health information systems was felt. This standard was considered a guide for software developers. This standard was named SAMILOG (Minimum Log Standards in Health). In this study, the development process of SAMILOG is explained. Method: Focus group meetings were held with seven developer companies. Several scenarios of unauthorized access or data breaches in a health information system were created. The participants discussed each scenario and evaluated the best methods for keeping logs and which data should kept log in each case. Previously, a standard called VEM was developed to assist data migration, when HIS software of a hospital changes. The data field names of VEM standard were also used in this new standard. Results: In SAMILOG 1.0, it was defined which of the data elements in each VEM set should be logged, it required an update for SAMILOG as the VEM was updated. Conclusion: SAMILOG v1.0 was announced in 2016. In case of a security breach related to the past in the health data of public hospitals in Turkey, primarily the data logged within the scope of SAMILOG are examined.

Publisher

Journal of International Health Sciences and Management

Reference17 articles.

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2. Das, R., Baykara, M., & Tuna, G. (2017). Cryptolog: A new approach to provide log security for digital forensics. IU-Journal of Electrical & Electronics Engineering, 17(2), 3453-3462.

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4. Isleyen, F., & Ulgu, M. M. (2020). Data Transfer Model for HIS and Developers Opinions in Turkey. In Digital Personalized Health and Medicine (pp. 557-561). IOS Press.

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