A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Reducing medical errors through barcoding at the point of care. | LitMetric

Medical errors are a major concern in health care today. Errors in point-of-care testing (POCT) are particularly problematic because the test is conducted by clinical operators at the site of patient care and immediate medical action is taken on the results prior to review by the laboratory. The Performance Improvement Program at Baystate Health System, Springfield, Massachusetts, noted a number of identification errors occurring with glucose and blood gas POCT devices. Incorrect patient account numbers that were attached to POCT results prevented the results from being transmitted to the patient's medical record and appropriately billed. In the worst case, they could lead to results being transferred to the wrong patient's chart and inappropriate medical treatment. Our first action was to lock-out operators who repeatedly made identification errors (3-Strike Rule), requiring operators to be counseled and retrained after their third error. The 3-Strike Rule significantly decreased our glucose meter errors (p = 0.014) but did not have an impact on the rate of our blood gas errors (p = 0.378). Neither device approached our ultimate goal of zero tolerance. A Failure Mode and Effects Analysis (FMEA) was conducted to determine the various processes that could lead to an identification error. A primary source of system failure was the manual entry of 14 digits for each test, five numbers for operator and nine numbers for patient account identification. Patient barcoding was implemented to automate the data entry process, and after an initial familiarization period, resulted in significant improvements in error rates for both the glucose (p = 0.0007) and blood gas devices (p = 0.048). Despite the improvements, error rates with barcoding still did not achieve zero errors. Operators continued to utilize manual data entry when the barcode scan was unsuccessful or unavailable, and some patients were found to have incorrect patient account numbers due to hospital transfer, multiple wristbands on a single patient, and selection of expired account numbers from previous hospitalizations when printing the barcoded wristbands. Barcoding can thus improve the incidence of identification errors, but hospitals need to take additional steps to ensure successful barcode scanning and to verify that patient wristbands contain correct information. Implementation of patient barcoding was successful in significantly reducing identification errors with POCT, improving patient care, and enhancing interdisciplinary communication.

Download full-text PDF

Source

Publication Analysis

Top Keywords

identification errors
16
blood gas
12
patient account
12
account numbers
12
errors
10
patient
9
medical errors
8
care medical
8
patient care
8
incorrect patient
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!