Wake North Carolina Medication Data Form - Medication Error and Near Miss Classification

State:
Multi-State
County:
Wake
Control #:
US-02260BG
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This form is a generic example that may be referred to when preparing such a form for your particular state. It is for illustrative purposes only. Local laws should be consulted to determine any specific requirements for such a form in a particular jurisdiction.

The Wake North Carolina Medication Data Form — Medication Error and Near Miss Classification is a comprehensive system used to categorize and document incidents related to medication errors and near misses in the Wake County area of North Carolina. This form plays a critical role in healthcare settings by enabling healthcare professionals and administrators to systematically track and analyze medication errors and near misses, ultimately ensuring patient safety and quality of care. The Medication Data Form serves as a standardized tool that allows for consistent reporting and classification of medication errors and near misses. By utilizing this form, healthcare providers can gather detailed information about the incident, including the medication involved, the individuals involved, the circumstances of the event, and any contributing factors. This rich dataset enables healthcare organizations to identify trends, assess risks, and implement targeted interventions to prevent future occurrences. The Wake North Carolina Medication Data Form — Medication Error and Near Miss Classification encompasses various types of medication errors and near misses. These classifications include but are not limited to: 1. Wrong Medication Administration: This category relates to incidents where a healthcare provider administers the wrong medication to a patient, potentially leading to adverse effects. 2. Medication Dose Errors: This category encompasses incidents where the prescribed medication dosage is inaccurately administered, resulting in over-dosage or under-dosage. 3. Drug-Drug Interactions: This classification refers to situations where the interaction between two or more medications leads to unfavorable effects or reduces the overall effectiveness of the treatment. 4. Prescription Errors: This category involves errors in the prescribing process, such as illegible handwriting, incorrect dose instructions, or incorrect medication selection. 5. Near Misses: This category captures close calls or potential errors that were intercepted before they could harm the patient. It includes instances where a mistake was averted due to the vigilance of healthcare professionals or the implementation of safety measures. 6. Communication Errors: This classification covers incidents where miscommunication between healthcare providers, patients, and/or caregivers leads to medication errors or near misses. By utilizing the Wake North Carolina Medication Data Form — Medication Error and Near Miss Classification, healthcare organizations can develop targeted interventions and strategies to reduce medication errors, enhance patient safety, and improve the overall quality of care provided to the community. This form serves as an essential tool in promoting a culture of safety and continuous improvement in medication management practices.

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FAQ

The three most common dispensing errors are: dispensing an incorrect medication, dosage strength or dosage form; miscalculating a dose; and failing to identify drug interactions or contraindications.

The initial reliability testing of the NCC MERP was conducted under controlled conditions involving a panel of trained professionals (mostly pharmacists) classifying the actual harm associated with 27 medication errors identified in incident reports 60.

What is the difference between a medication error and a near miss? A medication error reaches the patient, while a near miss is caught before it gets to the patient.

To the medication (WRONG MEDICATION). appropriately. someone else has made a medication error, you must IMMEDIATELY REPORT THE ERROR TO THE RN CM/DN AND APPROPRIATELY DOCUMENT THE ERROR. According to your agency's policy, your supervisor should also be notified.

Examples of near misses. Sometimes a medication is prescribed without considering the patient's allergies or potential for significant drug interactions. In many, but not all, situations the patient or pharmacist recognizes the risk in time.

A medication error is defined as "any preventable event that may cause or lead to inappropriate medication use or patient harm while the medication is in the control of the healthcare professional, patient, or consumer, according to the National Coordinating Council for Medication Error Reporting and Prevention.

Near-miss events are errors that occur in the process of providing medical care that are detected and corrected before a patient is harmed.

The three most common dispensing errors are: dispensing an incorrect medication, dosage strength or dosage form; miscalculating a dose; and failing to identify drug interactions or contraindications. Errors caused by drug administration can be made by the health care provider or by the patient themselves.

Medication errors can be classified, invoking psychological theory, as knowledge-based mistakes, rule-based mistakes, action-based slips, and memory-based lapses. This classification informs preventive strategies.

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Intercepted medication error ('near miss') . Medication error incidents were more likely to be reported in the morning shift versus evening and night shift (77.Following are examples of prescriptions and the Medication Administration Record. (MAR) that would be filled out based on that prescription. Methods of detecting medication errors reveal widely varying results. Incident occurs is responsible for completing all reporting requirements. An overdose may result in a toxic state or death. Rayos (prednisone ) is one of several drugs in a family known as adrenocortical steroids or corticosteroids. The actor found widespread fame playing CIA director David Estes in the US drama series Homeland.

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Wake North Carolina Medication Data Form - Medication Error and Near Miss Classification