Evidence map›Paper›PMID 28733949›Full record

ReviewJournal of medical systems2017

Security Techniques for the Electronic Health Records.

Clemens Scott Kruse, Brenna Smith, Hannah Vanderlinden, Alexandra Nealand

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
29.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 262 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Anomaly-based threat detection in smart health using machine learning.BMC medical informatics and decision making · 2024
    Article
  13. Article
  14. Machine Learning Operations in Health Care: A Scoping Review.Mayo Clinic proceedings. Digital health · 2024
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Clemens Scott KruseSchool of Health Administration, Texas State University - San Marcos, 601 University Drive, San Marcos, TX, 78666, USA. s_k97@txstate.edu.
Brenna SmithSchool of Health Administration, Texas State University - San Marcos, 601 University Drive, San Marcos, TX, 78666, USA.
Hannah VanderlindenSchool of Health Administration, Texas State University - San Marcos, 601 University Drive, San Marcos, TX, 78666, USA.
Alexandra NealandSchool of Health Administration, Texas State University - San Marcos, 601 University Drive, San Marcos, TX, 78666, USA.
Texas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The privacy of patients and the security of their information is the most imperative barrier to entry when considering the adoption of electronic health records in the healthcare industry. Considering current legal regulations, this review seeks to analyze and discuss prominent security techniques for healthcare organizations seeking to adopt a secure electronic health records system. Additionally, the researchers sought to establish a foundation for further research for security in the healthcare industry. The researchers utilized the Texas State University Library to gain access to three online databases: PubMed (MEDLINE), CINAHL, and ProQuest Nursing and Allied Health Source. These sources were used to conduct searches on literature concerning security of electronic health records containing several inclusion and exclusion criteria. Researchers collected and analyzed 25 journals and reviews discussing security of electronic health records, 20 of which mentioned specific security methods and techniques. The most frequently mentioned security measures and techniques are categorized into three themes: administrative, physical, and technical safeguards. The sensitive nature of the information contained within electronic health records has prompted the need for advanced security techniques that are able to put these worries at ease. It is imperative for security techniques to cover the vast threats that are present across the three pillars of healthcare.

Indexed as

Computer SecurityElectronic Health RecordsConfidentialityPrivacySecurity MeasuresCryptographyElectronic health record (EHR)FirewallProtected health information (PHI)Security safeguards

Identifiers

PMID28733949
PMCPMC5522514
OpenAlexW2736368095

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.