Searched over 200M research papers for "med identifier"
10 papers analyzed
These studies suggest that various methods and tools, such as MED ID surveys, unique device identifiers, SecureMed-ID, MeDS, Stat De-id, and automated de-identification software, are effective in improving the identification, privacy, and de-identification of medical information, while the Swedish personal identity number and recommendations for patient identifiers address ethical and educational considerations.
20 papers analyzed
The Medication Identification (MED ID) tool is a novel survey designed to assess caregivers' ability to identify inhaled asthma medications for adolescents. The tool's reliability and validity were evaluated using data from the School-Based Asthma Care for Teens trial in Rochester, NY. Caregivers were asked to name and identify inhaled medications using a pictorial chart. The study found that 52% of caregivers could accurately identify medications, and higher MED ID scores were associated with better identification accuracy. The tool demonstrated a Cronbach's alpha of 0.603, indicating moderate internal consistency reliability. The MED ID tool, particularly with scores of 8 or higher, showed strong diagnostic utility for assessing caregivers' medication identification abilities.
The U.S. Food and Drug Administration's unique device identifier (UDI) rule, established in 2013, mandates that medical devices carry a distinct code on their labels and packaging. This code includes a device identifier and a production identifier, which can be linked to the FDA's Global Unique Device Identification Database. Despite the potential benefits for device tracking and safety, the integration of UDIs into electronic health records (EHRs) and administrative claims data has been limited. This lack of integration hampers the ability to conduct population-level analyses of device safety and effectiveness. Recent policy changes, such as the 21st Century Cures Act, aim to improve UDI accessibility and application, but significant obstacles remain, including the need for health systems to invest in workflow changes and EHR updates.
The SecureMed-ID system enhances the memorability and privacy of identifiers used in electronic medical record systems. By transforming complex Globally Unique Identifiers (GUIDs) into human-friendly two-word aliases, SecureMed-ID reduces the risk of human error and data leaks. This system is designed to be user-friendly, requiring minimal keystrokes for input, which is particularly beneficial for mobile device users. SecureMed-ID also facilitates the retrieval of de-identified medical data without compromising patient privacy, making it a valuable tool for secure data sharing in various medical contexts.
Automated de-identification tools, such as the Medical De-identification System (MeDS) and Stat De-id, are crucial for protecting patient privacy in clinical documents. MeDS has demonstrated high accuracy in removing patient identifiers from clinical data, achieving a 99.47% success rate in scrubbing HIPAA-specified identifiers in its second evaluation. Similarly, Stat De-id, which uses support vector machines and local context, has shown an F-measure of 97% in de-identifying medical discharge summaries. These tools ensure that de-identified records remain readable and interpretable, maintaining their utility for research while safeguarding patient confidentiality .
The Swedish personal identity number (PIN) system exemplifies the use of unique identifiers in healthcare and medical research. The PIN allows for seamless linkage between medical registers, providing comprehensive coverage of the Swedish healthcare system. However, ethical concerns arise regarding the use of PINs without explicit patient consent. Despite these concerns, the benefits of using PINs for research and patient care are significant, as they enable accurate data matching and enhance the quality of healthcare services.
Advancements in medication and medical device identification, as well as secure and memorable identifiers, are crucial for improving patient care and research. Tools like MED ID and SecureMed-ID enhance the accuracy and privacy of medical data, while automated de-identification systems protect patient confidentiality. However, challenges remain in integrating UDIs into health records and addressing ethical concerns related to patient identifiers. Continued efforts to refine these systems and address implementation barriers will be essential for maximizing their potential benefits.
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