Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters










Database
Language
Publication year range
1.
Acad Emerg Med ; 15(7): 641-8, 2008 Jul.
Article in English | MEDLINE | ID: mdl-19086323

ABSTRACT

INTRODUCTION: Improving patient identification (ID), by using two identifiers, is a Joint Commission safety goal. Appropriate identifiers include name, date of birth (DOB), or medical record number (MRN). OBJECTIVES: The objectives were to determine the frequency of verifying patient ID during computerized provider order entry (CPOE). METHODS: This was a prospective study using simulated scenarios with an eye-tracking device. Medical providers were asked to review 10 charts (scenarios), select the patient from a computer alphabetical list, and order tests. Two scenarios had embedded ID errors compared to the computer (incorrect DOB or misspelled last name), and a third had a potential error (second patient on alphabetical list with same last name). Providers were not aware the focus was patient ID. Verifying patient ID was defined as looking at name and either DOB or MRN on the computer. RESULTS: Twenty-five of 25 providers (100%; 95% confidence interval [CI] = 86% to 100%) selected the correct patient when there was a second patient with the same last name. Two of 25 (8%; 95% CI = 1% to 26%) noted the DOB error; the remaining 23 ordered tests on an incorrect patient. One of 25 (4%, 95% CI = 0% to 20%) noted the last name error; 12 ordered tests on an incorrect patient. No participant (0%, 0/107; 95% CI = 0% to 3%) verified patient ID by looking at MRN prior to selecting a patient from the alphabetical list. Twenty-three percent (45/200; 95% CI = 17% to 29%) verified patient ID prior to ordering tests. CONCLUSIONS: Medical providers often miss ID errors and infrequently verify patient ID with two identifiers during CPOE.


Subject(s)
Eye Movements , Medical Errors/prevention & control , Medical Order Entry Systems , Patient Identification Systems , Quality Assurance, Health Care , Confidence Intervals , Decision Making , Humans , Prospective Studies
SELECTION OF CITATIONS
SEARCH DETAIL
...