International journal of medical informatics
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This manuscript describes the health information system security threat lifecycle (HISSTL) theory. The theory is grounded in case study data analyzing clinicians' health information system (HIS) privacy and security (P&S) experiences in the practice context. ⋯ Legislative frameworks that are not related to direct patient care were excluded from this study. Other limitations included an exclusive focus on patient care tasks post-admission and pre-discharge from public hospital wards. Finally, the number of cases was limited by the number of participants who volunteered to participate in the study. It is reasonable to assume these participants were more interested in the P&S of patient care work than their counterparts, though the study was not intended to provide quantitative or statistical data. Nonetheless, additional case studies would strengthen the HISSTL theory if confirmatory, practice-based evidence were found.
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A large share of the information in electronic medical records (EMRs) consists of free-text compositions. From a computational point-of-view, the continuing prevalence of free-text entry is a major hindrance when the goal is to increase automation in EMRs. However, the efforts in developing standards for the structured representation of medical information have not proven to be a panacea. The information space of clinical medicine is very diverse and constantly evolving, making it challenging to develop standards for the domain. This paper reports a study aiming to increase automation in the EMR through the computational understanding of specific class of medical text in English, namely emergency department chief complaints. ⋯ The evaluation in a multi-hospital setting showed that the presented algorithm was accurate in terms of classification correctness. Also, use of approximate matching in the algorithm to cope with typographic variance did not affect classification correctness while increasing classification completeness.