Literature DB >> 35482411

Usability and Accessibility of Publicly Available Patient Safety Databases.

Julia G Sheehan1, Jessica L Howe1, Allan Fong1, Seth A Krevat, Raj M Ratwani.   

Abstract

OBJECTIVES: The aims of the study were to identify publicly available patient safety report databases and to determine whether these databases support safety analyst and data scientist use to identify patterns and trends.
METHODS: An Internet search was conducted to identify publicly available patient safety databases that contained patient safety reports. Each database was analyzed to identify features that enable patient safety analyst and data scientist use of these databases.
RESULTS: Seven databases (6 hosted by federal agencies, 1 hosted by a nonprofit organization) containing more than 28.3 million safety reports were identified. Some, but not all, databases contained features to support patient safety analyst use: 57.1% provided the ability to sort/compare/filter data, 42.9% provided data visualization, and 85.7% enabled free-text search. None of the databases provided regular updates or monitoring and only one database suggested solutions to patient safety reports. Analysis of features to support data scientist use showed that only 42.9% provided an application programing interface, most (85.7%) provided batch downloading, all provided documentation about the database, and 71.4% provided a data dictionary. All databases provided open access. Only 28.6% provided a data diagram.
CONCLUSIONS: Patient safety databases should be improved to support patient safety analyst use by, at a minimum, allowing for data to be sorted/compared/filtered, providing data visualization, and enabling free-text search. Databases should also enable data scientist use by, at a minimum, providing an application programing interface, batch downloading, and a data dictionary.
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Entities:  

Mesh:

Year:  2022        PMID: 35482411      PMCID: PMC9391255          DOI: 10.1097/PTS.0000000000001018

Source DB:  PubMed          Journal:  J Patient Saf        ISSN: 1549-8417            Impact factor:   2.243


  6 in total

1.  Reporting of adverse events.

Authors:  Lucian L Leape
Journal:  N Engl J Med       Date:  2002-11-14       Impact factor: 91.245

2.  Two Decades Since To Err Is Human: An Assessment Of Progress And Emerging Priorities In Patient Safety.

Authors:  David W Bates; Hardeep Singh
Journal:  Health Aff (Millwood)       Date:  2018-11       Impact factor: 6.301

Review 3.  A systematic review of natural language processing for classification tasks in the field of incident reporting and adverse event analysis.

Authors:  Ian James Bruce Young; Saturnino Luz; Nazir Lone
Journal:  Int J Med Inform       Date:  2019-10-05       Impact factor: 4.046

4.  Realizing the Power of Text Mining and Natural Language Processing for Analyzing Patient Safety Event Narratives: The Challenges and Path Forward.

Authors:  Allan Fong
Journal:  J Patient Saf       Date:  2021-12-01       Impact factor: 2.844

5.  Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I.

Authors:  T A Brennan; L L Leape; N M Laird; L Hebert; A R Localio; A G Lawthers; J P Newhouse; P C Weiler; H H Hiatt
Journal:  N Engl J Med       Date:  1991-02-07       Impact factor: 91.245

6.  A Machine Learning Approach to Reclassifying Miscellaneous Patient Safety Event Reports.

Authors:  Allan Fong; Shabnam Behzad; Zoe Pruitt; Raj M Ratwani
Journal:  J Patient Saf       Date:  2021-12-01       Impact factor: 2.844

  6 in total

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