Behavior analysis in the medical sector: theory and practice

Mahdi Alizadeh, Sander Peters, Sandro Etalle, Nicola Zannone

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

5 Citaten (Scopus)

Samenvatting

Behavior analysis has received considerable attention over recent years. In this paper, we apply behavior analysis to study the use of the Break-The-Glass (BTG) procedure at the Academic Medical Center (AMC), a large Dutch hospital. Similar to most hospitals, AMC employs the BTG procedure to deal with emergencies, which allows users to access patient data that they would not be normally allowed to access. This flexibility can be misused by users, leading to legal and financial consequences for the hospital. To assist AMC in the detection of possible misuses of the BTG procedure, in this work, we present an approach to analyze user behavior and apply it to a log collected from AMC. We partition users into different subgroups and build self-explanatory histogram-based profiles for users and subgroups. By comparing profiles, we measure to what extent users behave differently from their peers. The discussion of our findings with experts at AMC has shown that our approach can provide meaningful insights on user behavior and histograms are easy to understand and facilitate the investigation of suspicious behaviors.

Originele taal-2Engels
TitelProceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Pagina's1637-1646
Aantal pagina's10
ISBN van elektronische versie978-1-4503-5191-1
DOI's
StatusGepubliceerd - 9 apr 2018
Evenement33rd Annual ACM Symposium on Applied Computing, SAC 2018 - Pau, Frankrijk
Duur: 9 apr 201813 apr 2018

Congres

Congres33rd Annual ACM Symposium on Applied Computing, SAC 2018
LandFrankrijk
StadPau
Periode9/04/1813/04/18

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  • Citeer dit

    Alizadeh, M., Peters, S., Etalle, S., & Zannone, N. (2018). Behavior analysis in the medical sector: theory and practice. In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018 (blz. 1637-1646). Association for Computing Machinery, Inc. https://doi.org/10.1145/3167132.3167307