Literature DB >> 22527783

Mitigating error vulnerability at the transition of care through the use of health IT applications.

Kendall Cortelyou-Ward1, Ashley Swain, Tina Yeung.   

Abstract

Adverse drug events are largely considered to be errors in which the severity of effects could be lessened or even prevented through more effective medication reconciliation practices. Transitions of care, particularly at the time of discharge from the hospital, represent a time of heightened error vulnerability that contributes to medication discrepancy occurrences. The observed vulnerability can be attributed to communication and care continuity gaps across health care settings and can often lead to preventable errors. Health IT tools developed through research can identify factors which increase the risk of medication discrepancies. Additionally, the implementations of optimized clinical workflow processes to form effective transitions of care are approaches to decreasing medication discrepancies which may lead to adverse drug events. While federal policies and certifying organizations have implemented quality initiatives to increase focus on medication reconciliation practices in the hospital and primary care settings, the same practices must be implemented after a patient is discharged to their homes or another health care facility in order to mitigate error vulnerabilities that occur at the transition of care. This paper provides an overview of health IT system capabilities and their applications within and across health care delivery settings to facilitate care coordination to ensure continuity of care.

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Mesh:

Year:  2012        PMID: 22527783     DOI: 10.1007/s10916-012-9855-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  11 in total

1.  Improving safety with information technology.

Authors:  David W Bates; Atul A Gawande
Journal:  N Engl J Med       Date:  2003-06-19       Impact factor: 91.245

2.  Posthospital medication discrepancies: prevalence and contributing factors.

Authors:  Eric A Coleman; Jodi D Smith; Devbani Raha; Sung-joon Min
Journal:  Arch Intern Med       Date:  2005-09-12

Review 3.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

Authors:  Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

4.  Medication reconciliation for reducing drug-discrepancy adverse events.

Authors:  Kenneth S Boockvar; Heather Carlson LaCorte; Vincent Giambanco; Bella Fridman; Albert Siu
Journal:  Am J Geriatr Pharmacother       Date:  2006-09

5.  Health and the mobile phone.

Authors:  Kevin Patrick; William G Griswold; Fred Raab; Stephen S Intille
Journal:  Am J Prev Med       Date:  2008-06-12       Impact factor: 5.043

6.  Medication errors: prevention using information technology systems.

Authors:  Abha Agrawal
Journal:  Br J Clin Pharmacol       Date:  2009-06       Impact factor: 4.335

7.  Reconcilable differences: correcting medication errors at hospital admission and discharge.

Authors:  T Vira; M Colquhoun; E Etchells
Journal:  Qual Saf Health Care       Date:  2006-04

8.  Medication discrepancies upon hospital to skilled nursing facility transitions.

Authors:  Jennifer Tjia; Alice Bonner; Becky A Briesacher; Sarah McGee; Eileen Terrill; Kathleen Miller
Journal:  J Gen Intern Med       Date:  2009-03-17       Impact factor: 5.128

9.  Prescribing discrepancies likely to cause adverse drug events after patient transfer.

Authors:  K S Boockvar; S Liu; N Goldstein; J Nebeker; A Siu; T Fried
Journal:  Qual Saf Health Care       Date:  2009-02

10.  Reduction of 30-day postdischarge hospital readmission or emergency department (ED) visit rates in high-risk elderly medical patients through delivery of a targeted care bundle.

Authors:  Bruce E Koehler; Kathleen M Richter; Liz Youngblood; Brian A Cohen; Irving D Prengler; Dunlei Cheng; Andrew L Masica
Journal:  J Hosp Med       Date:  2009-04       Impact factor: 2.960

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  4 in total

1.  A patient-centered longitudinal care plan: vision versus reality.

Authors:  Patricia C Dykes; Lipika Samal; Moreen Donahue; Jeffrey O Greenberg; Ann C Hurley; Omar Hasan; Terrance A O'Malley; Arjun K Venkatesh; Lynn A Volk; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2014-07-04       Impact factor: 4.497

2.  Opioid prescribing by physicians with and without electronic health records.

Authors:  Christopher A Harle; Robert L Cook; Heidi S Kinsell; Jeffrey S Harman
Journal:  J Med Syst       Date:  2014-10-10       Impact factor: 4.460

Review 3.  Summary and frequency of barriers to adoption of CPOE in the U.S.

Authors:  Clemens Scot Kruse; Kristina Goetz
Journal:  J Med Syst       Date:  2015-02-01       Impact factor: 4.460

4.  Policy parameters for optimising hospital ePrescribing: An exploratory literature review of selected countries of the Organisation for Economic Co-operation and Development.

Authors:  Uditha T Perera; Catherine Heeney; Aziz Sheikh
Journal:  Digit Health       Date:  2022-03-21
  4 in total

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