TY  - BOOK
AU  - Polly Chua-Chan, MD
AU  - Abulencia, Ashley Christine
AU  - Aguilan, Loren Iris
AU  - Agustin, Raphael James
AU  - Nario, Marian Niel
AU  - Ocampo, Aelanis Gabriela
AU  - Perez, Patricia Marie
AU  - Sandigan, Marian Lizbeth
AU  - Tolentino, Louise Christine
AU  - Vega, Nathalie Mae
ED  - 
TI  - Effectiveness of Patient's Identification Evaluation (PIE) in Improving Accuracy of Patient Identification in the Pre-Analytical Phase / 
AV  - MT 2017 0012 
PY  - 2017///
CY  - Fairview, Quezon City
PB  - School of Medical Technology, FEU-NRMF
N1  - Includes bibliographical references; bri'oot
N2  - Abstract: One of the biggest goals of any health care institution is to provide the patient satisfactory service, produce reliable and perform quality procedures. The health care providers, being in a fast-paced clinical environment or setting, are not exempted to errors that are more commonly resulting from inaccurate patient identification. Even with the vast advancements in technology, there is still no program that can provide a perfect solution to this problem. This study aims to minimize patient misidentification by providing an additional procedure, "Patient Identification Evaluation" and to promote and raise awareness about the number of untoward incidental errors, associated with patient misidentification.  The purpose of the study is to determine whether using "PIE" as an additional procedure in properly identifying the patient is effective in minimizing patient misidentification. This study described the frequency of errors in patient misidentification in the pre-analytical phase and the effect of the implementation of PIE in Far Eastern University - Nicanor Reyes Medical Foundation Medical Center. In addition, the work shift patient misidentification usually occurs was determined.   This study made use of aquasi-experimental method to the effectiveness of PIE in minimizing patient misidentification in the laboratory. A verification slip was filled out upon identifying the patient. This slip was compared to the information of the request form, and the effectiveness of PIE in minimizing patient misidentification was determined. Among the 270 patients that were selected, 54 errors(20.0%) in the patients' demographics were collected. Out of these 54 errors, "Name", which is a patient identifier, had the most percentage of errors with 42.59%, followed by "Birthdate" with an errors rate of 31.48%, "Gender" has 14.81% lastly "Age" at 11.11%.  Of the patient misidentification, 76% errors occurred in the morning shift, while the remaining 24% were recorded from the night shift. A relative reduction of 80% was set to measure the effectiveness of PIE in minimizing errors in the pre-analytical phase. Implementation of PIE was effective on patient identifier  "Name" and "Birthdate" both having 100% error reduction. On the other hand, PIE was able to reduce errors in "Gender" and "Age" by only 50%. Overall, PIE was effective with an 81.48% relative reduction rate surpassing the expected 80%relative reduction
ER  -