
Electronic data systems are being implemented in resource-poor HIV clinics to track and improve patient care. The great majority of these systems rely on paper forms and retrospective data entry, while a few have chosen to deploy point-of-care systems to collect data in real time. This study describes a comparison of data quality between these two approaches.
Medical Records Systems, Computerized, Artificial Intelligence, Point-of-Care Systems, Humans, Information Storage and Retrieval, HIV Infections, Pennsylvania, Medical History Taking, Algorithms, Natural Language Processing
Medical Records Systems, Computerized, Artificial Intelligence, Point-of-Care Systems, Humans, Information Storage and Retrieval, HIV Infections, Pennsylvania, Medical History Taking, Algorithms, Natural Language Processing
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