Literature DB >> 27453336

Use of Text Searching for Trigger Words in Medical Records to Identify Adverse Drug Reactions within an Intensive Care Unit Discharge Summary.

Sandra L Kane-Gill1, Adam M MacLasco, Melissa I Saul, Tiffany R Politz Smith, Megan A Kloet, Catherine Kim, Ananth M Anthes, Pamela L Smithburger, Amy L Seybert.   

Abstract

PURPOSE: To evaluate the performance of using trigger words (e.g. clues to an adverse drug reaction) in unstructured, narrative text to detect adverse drug reactions (ADRs) and compare the use of these trigger words to a targeted chart review for ADR detection within the intensive care unit (ICU) discharge summary note. MATERIALS: A retrospective medical record review was conducted. Evaluation of ADRs occurred in two phases - targeted chart review of the ICU discharge summary notes in Phase 1 and targeted chart review using specific words and phrases as triggers for ADRs in Phase 2.
RESULTS: Four hundred ADRs were documented in 223 patients for Phase 1. For Phase 2, there were 219 ADRs identified in 120 patients. 138 real or accurate ADRs were identified from Phase 1 and 47 duplicate events. 34 ADRs from Phase 2 were not identified in Phase 1. Fifteen of the ADRs were inaccurately presumed in Phase 2. Fifty-eight of 127 text triggers identified at least one ADR. Low and moderate frequency trigger words were more likely to have PPVs > 5%.
CONCLUSIONS: Targeted chart review using specific words and phrases as triggers for ADRs is a reasonable approach to identify ADRs and may save time compared to other methods after further refinement leads to a more accurately performing trigger word list.

Entities:  

Keywords:  Drug-related side effects and adverse reactions; computerized; critical care; intensive care units; medical informatics applications; medical record systems; medication errors; patient safety

Mesh:

Year:  2016        PMID: 27453336      PMCID: PMC5052540          DOI: 10.4338/ACI-2016-03-RA-0031

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  19 in total

1.  A method for systematic discovery of adverse drug events from clinical notes.

Authors:  Guan Wang; Kenneth Jung; Rainer Winnenburg; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2015-07-31       Impact factor: 4.497

2.  A comparison of voluntarily reported medication errors in intensive care and general care units.

Authors:  S L Kane-Gill; J G Kowiatek; R J Weber
Journal:  Qual Saf Health Care       Date:  2010-02

3.  Computer based medication error reporting: insights and implications.

Authors:  M R Miller; J S Clark; C U Lehmann
Journal:  Qual Saf Health Care       Date:  2006-06

4.  Adverse drug event reporting in intensive care units: a survey of current practices.

Authors:  Sandra L Kane-Gill; John W Devlin
Journal:  Ann Pharmacother       Date:  2006-07-18       Impact factor: 3.154

5.  Identification of adverse events occurring during hospitalization. A cross-sectional study of litigation, quality assurance, and medical records at two teaching hospitals.

Authors:  T A Brennan; A R Localio; L L Leape; N M Laird; L Peterson; H H Hiatt; B A Barnes
Journal:  Ann Intern Med       Date:  1990-02-01       Impact factor: 25.391

6.  Identifying adverse drug events: development of a computer-based monitor and comparison with chart review and stimulated voluntary report.

Authors:  A K Jha; G J Kuperman; J M Teich; L Leape; B Shea; E Rittenberg; E Burdick; D L Seger; M Vander Vliet; D W Bates
Journal:  J Am Med Inform Assoc       Date:  1998 May-Jun       Impact factor: 4.497

7.  A study of medical injury and medical malpractice.

Authors:  H H Hiatt; B A Barnes; T A Brennan; N M Laird; A G Lawthers; L L Leape; A R Localio; J P Newhouse; L M Peterson; K E Thorpe
Journal:  N Engl J Med       Date:  1989-08-17       Impact factor: 91.245

Review 8.  Detecting adverse events for patient safety research: a review of current methodologies.

Authors:  Harvey J Murff; Vimla L Patel; George Hripcsak; David W Bates
Journal:  J Biomed Inform       Date:  2003 Feb-Apr       Impact factor: 6.317

9.  Improving adverse drug event detection in critically ill patients through screening intensive care unit transfer summaries.

Authors:  Ananth M Anthes; Lisa M Harinstein; Pamela L Smithburger; Amy L Seybert; Sandra L Kane-Gill
Journal:  Pharmacoepidemiol Drug Saf       Date:  2013-02-26       Impact factor: 2.890

10.  National study on the distribution, causes, and consequences of voluntarily reported medication errors between the ICU and non-ICU settings.

Authors:  Asad Latif; Nishi Rawat; Aliaksei Pustavoitau; Peter J Pronovost; Julius C Pham
Journal:  Crit Care Med       Date:  2013-02       Impact factor: 7.598

View more
  7 in total

1.  Development and Evaluation of a Clinical Decision Support System to Improve Medication Safety.

Authors:  Sara Ibáñez-Garcia; Carmen Rodriguez-Gonzalez; Vicente Escudero-Vilaplana; Maria Luisa Martin-Barbero; Belén Marzal-Alfaro; Jose Luis De la Rosa-Triviño; Irene Iglesias-Peinado; Ana Herranz-Alonso; Maria Sanjurjo Saez
Journal:  Appl Clin Inform       Date:  2019-07-17       Impact factor: 2.342

2.  Detection and Remediation of Misidentification Errors in Radiology Examination Ordering.

Authors:  Scott E Sheehan; Nasia Safdar; Hardeep Singh; Dean F Sittig; Michael A Bruno; Kelli Keller; Samantha Kinnard; Michael C Brunner
Journal:  Appl Clin Inform       Date:  2020-01-29       Impact factor: 2.342

Review 3.  Monitoring Preventable Adverse Events and Near Misses: Number and Type Identified Differ Depending on Method Used.

Authors:  Stina Isaksson; Anneli Schwarz; Marie Rusner; Sophia Nordström; Ulrika Källman
Journal:  J Patient Saf       Date:  2021-12-17       Impact factor: 2.243

4.  Automated Screening of Emergency Department Notes for Drug-Associated Bleeding Adverse Events Occurring in Older Adults.

Authors:  Richard D Boyce; Jeremy Jao; Taylor Miller; Sandra L Kane-Gill
Journal:  Appl Clin Inform       Date:  2017-12-14       Impact factor: 2.342

5.  Trigger Tool-Based Automated Adverse Event Detection in Electronic Health Records: Systematic Review.

Authors:  Sarah N Musy; Dietmar Ausserhofer; René Schwendimann; Hans Ulrich Rothen; Marie-Madlen Jeitziner; Anne Ws Rutjes; Michael Simon
Journal:  J Med Internet Res       Date:  2018-05-30       Impact factor: 5.428

6.  Using Electronic Health Records to Identify Adverse Drug Events in Ambulatory Care: A Systematic Review.

Authors:  Chenchen Feng; David Le; Allison B McCoy
Journal:  Appl Clin Inform       Date:  2019-02-20       Impact factor: 2.342

7.  Application of electronic trigger tools to identify targets for improving diagnostic safety.

Authors:  Daniel R Murphy; Ashley Nd Meyer; Dean F Sittig; Derek W Meeks; Eric J Thomas; Hardeep Singh
Journal:  BMJ Qual Saf       Date:  2018-10-05       Impact factor: 7.035

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.