Literature DB >> 17901600

Access control: how can it improve patients' healthcare?

Ana Ferreira1, Ricardo Cruz-Correia, Luís Antunes, David Chadwick.   

Abstract

The Electronic Medical Record (EMR) is a very important support tool for patients and healthcare professionals but it has some barriers that prevent its successful integration within the healthcare practice. These barriers comprise not only security concerns but also costs, in terms of time and effort, as well as relational and educational issues that can hinder its proper use. Access control is an essential part of the EMR and provides for its confidentiality by checking if a user has the necessary rights to access the resources he/she requested. This paper comprehensively reviews the published material about access control in healthcare. The review reveals that most of the access control systems that are published in the literature are just studies or prototypes in which healthcare professionals and patients did not participate in the definition of the access control policies, models or mechanisms. Healthcare professionals usually needed to change their workflow patterns and adapt their tasks and processes in order to use the systems. If access control could be improved according to the users' needs and be properly adapted to their workflow patterns we hypothesise that some of the barriers to the effective use of EMR could be reduced. Then EMR could be more successfully integrated into the healthcare practice and provide for better patient treatment.

Entities:  

Mesh:

Year:  2007        PMID: 17901600

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  8 in total

1.  PKI security in large-scale healthcare networks.

Authors:  Georgios Mantas; Dimitrios Lymberopoulos; Nikos Komninos
Journal:  J Med Syst       Date:  2010-09-09       Impact factor: 4.460

2.  Commentaries on "Informatics and medicine: from molecules to populations".

Authors:  R B Altman; R Balling; J F Brinkley; E Coiera; F Consorti; M A Dhansay; A Geissbuhler; W Hersh; S Y Kwankam; N M Lorenzi; F Martin-Sanchez; G I Mihalas; Y Shahar; K Takabayashi; G Wiederhold
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

3.  Evaluating the Effectiveness of Auditing Rules for Electronic Health Record Systems.

Authors:  Monica Hedda; Bradley A Malin; Chao Yan; Daniel Fabbri
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

4.  Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs.

Authors:  Jihoon Kim; Janice M Grillo; Aziz A Boxwala; Xiaoqian Jiang; Rose B Mandelbaum; Bhakti A Patel; Debra Mikels; Staal A Vinterbo; Lucila Ohno-Machado
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

5.  Explaining accesses to electronic medical records using diagnosis information.

Authors:  Daniel Fabbri; Kristen Lefevre
Journal:  J Am Med Inform Assoc       Date:  2012-11-02       Impact factor: 4.497

6.  Ethical Considerations on Pediatric Genetic Testing Results in Electronic Health Records.

Authors:  Shibani Kanungo; Jayne Barr; Parker Crutchfield; Casey Fealko; Neelkamal Soares
Journal:  Appl Clin Inform       Date:  2020-11-11       Impact factor: 2.342

7.  Measuring sports injuries on the pitch: a guide to use in practice.

Authors:  Luiz C Hespanhol Junior; Saulo D Barboza; Willem van Mechelen; Evert Verhagen
Journal:  Braz J Phys Ther       Date:  2015-09-01       Impact factor: 3.377

8.  Using statistical and machine learning to help institutions detect suspicious access to electronic health records.

Authors:  Aziz A Boxwala; Jihoon Kim; Janice M Grillo; Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2011 Jul-Aug       Impact factor: 4.497

  8 in total

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