PICOT PROJECT Student Name Chamberlain University NR 632 Date Submitted The intended outcome is proper patient identification, and the intervention will take four months. Patient identification has been done incorrectly by certain health care workers, resulting in readmission and medication side effects. As a result, it is critical to avoid this issue and enhance patient outcomes. It also demonstrates the necessity of employing technology to improve patient outcomes, as well as the consequences of not doing so. The course result reflection gives information and skills required for project planning and implementation. Identification of the Problem/Concern To enhance patient outcomes, nurses must work in accordance with ethical standards. Wrong patient identification is a problem that has an impact on nursing care, particularly when it comes to drug delivery (Barakat & Franklin, 2020). Bar code medication administration is a technique that aids nursing departments in identifying patients and administering the appropriate medicine at the appropriate time (Lunt & Mathieson, 2020) People who require medicine or therapy can be identified using bar codes. Interventions utilising this technology have been shown to improve patient outcomes and reduce practise mistakes. There are frequent inpatient identification mistakes as compared to healthcare institutions that do not utilise this drug. Summary of Relevant Literature The literature review of the topic discusses findings and information that prove that wrong patient identification is a major challenge in nursing practice. It also shows the importance of using the technology in improving patient outcomes plus the outcomes of not using it. The reflection of the course outcome provides knowledge and skills that are necessary for project planning and implementation. Work breakdown informs on the importance of dividing project activities so that they can be done easily. Summary of Literature continued The project charter includes information about the project's general objective,