Luiza Fabisiak

Dr. Luiza Fabisiak


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020
Verified
Conference Paper
Open access
PDF file
THTomasz Hyla
Tomasz Hyla
LFLuiza Fabisiak
Luiza Fabisiak
The goal of this study is to measure the cyber security awareness of medical professionals in Poland, i.e. to verify whether healthcare specialists have knowledge and understanding of basic cyber security threats. This survey was based on the cyber security recommendations from the European Union Agency for Network and Information Security and the U.S. Department of Health and Human Services. The survey consisted of 23 single and multiple-choice questions divided into four parts. The results categorized the respondents and measured the level of cyber security awareness. Among the 620 persons invited to participate in the survey, 300 (48.39%) responded and answered all of the questions. The results show a an unsatisfactory level of knowledge regarding information security in Poland. The main conclusion drawn from the survey is that the quality of cyber security training among medical professionals should be improved and frequency of the trainings should be increased.

22 February 2023
Verified
Book Chapter
Open access
PDF file
LFLuiza Fabisiak
Luiza Fabisiak
BJBarbara Jagielska
Barbara Jagielska
The primary web design method is user experience-based “landing page” web design. It enables you to expand the reach of a particular company, institution, or application. It aims to present́ the most relevant information on the owner’s website. A simple approach, such as split A/B testing, can provide reliable data because it includes an appropriate set of alternatives. This article provides an overview, analysis, and interpretation of the results obtained. It presents good and bad practices of existing landing pages. The approach showed optimal solutions in aggregate, segmented, and individual site users.

25 December 2023 in Electronics
Verified
Journal Article
Open access
PDF file
LFLuiza Fabisiak
Luiza Fabisiak
The aim of this study was to develop a method to minimize the risk of cancellation of planned surgery in hospital orthopedic departments. The paper proposes a method that combines multi-criteria and multi-faceted risk assessment. Two data sources are used: a fuzzy FTOPSIS method, combined with FMEA assessment. The FMEA method presented in this paper uses the technique of prioritizing preferences according to FTOPSIS similarity to the ideal solution and belief structure, in order to overcome the shortcomings of traditional FMEA indicators. Finally, a numerical case study of process optimization for elective surgery in a Polish clinic is presented. The focus was on planned hip replacements. The effectiveness of the method in assessing the main factors influencing cancellation of elective surgery is demonstrated. A high accuracy of the results and wide adaptability of the method to other areas are features of the combination of the abovementioned methods. The problem addressed in this publication is the high rate of cancellation of elective surgery. The selection of relevant criteria, their importance, and the preferences of the patients were studied. The results of the method provide a viable action plan for the proposed research problem. The proposed method is multifaceted and can be part of an information system to support reorganization, restructuring, and modification of an operational process.

16 November 2023 in Preprints.org
Verified
Preprint
Open access
PDF file
LFLuiza Fabisiak
Luiza Fabisiak
This paper proposes a model that combines multi-criteria and multi-faceted risk assessment. Using two data sources, a fuzzy Technique for Order of Preference by Similarity to Ideal Solution FTOPSIS method combined with FMEA assessment. The FMEA method presented in this paper combines the technique of prioritising preferences according to FTOPSIS similarity to the ideal solution and conviction structure to overcome the defects of traditional FMEA indicators. The paper describes the exact process and tool selection, and the results obtained in the study verified accurate data. Finally, a numerical case study was presented on hospital reorganization services and case adaptation to prioritize surgical abandonment in Poland. The problem considered in the publication is the priority of patients’ operations in hospitals. The selection of relevant criteria, their importance and patient preferences are presented. The results obtained from the method provide a viable action plan for the proposed research problem. The proposed method is multi-faceted and can be part of an information system supporting reorganization, restructuring, and modification of the operational process.