Kahn's Data Quality Categories for Prescription delivery and Medical Appointment Assignment Reports

In the health sector, the reports on delivery of prescriptions and the assignment of medical appointments are generated by the Health Service Provider Institutions and delivered to the Health Service Promoting Entities. These reports usually have an incoherent structure; inconsistencies in the format; non-existent, incomplete, or non-standardized data. These problems affect data quality and hinder the reliability of the information. To address this, it is proposed to adapt Kahn's data quality categories, to these reports, considering that the health sector accepts them categories and contemplates not only the structure and domain of the data but also its completeness and plausibility (credibility). This research followed the methodology of Pratt’s Iterative Research Pattern, studies related to the subject were observed, and the attributes of prescription delivery and appointment assignment were analyzed to understand the problem and its implications in detail. We then adapted the data quality categories proposed by Kahn, taking into account the problems identified in these reports. Subsequently, a group of health experts evaluated the proposed adaptation using the focus group technique. The results, according to their perception, showed that the prescription delivery report obtained 66.7% in the “Completely Agree” category and 33.3% in the “Agree” category; medical appointment assignment had 73.3% in “Completely Agree” and 26.7% in “Agree”, according to the Likert scale. In conclusion, this research contributes to strengthening the data quality of these reports by providing guidelines to improve the reliability of the information.

• Fecha de publicación: 2023
• Institución: Universidad Pedagógica y Tecnológica de Colombia
• Repositorio: RiUPTC: Repositorio Institucional UPTC
• Idioma: eng
• OAI Identifier: oai:repositorio.uptc.edu.co:001/14378
• Acceso en línea: https://revistas.uptc.edu.co/index.php/ingenieria/article/view/16314; https://repositorio.uptc.edu.co/handle/001/14378
• Palabra clave: Data quality; Data quality categories; Drug delivery; Medical appointment scheduling; Conformance; Completeness; Plausibility; Health regulatory reporting; Calidad de datos; Categorías de calidad de datos; Entrega de Medicamentos; Asignación de citas médicas; Conformidad; Completitud; Plausibilidad; Salud; Reportes normativos en salud
• License: Copyright (c) 2023 Daisy-Yisel Meneses-Lopez, Martha-Eliana Mendoza-Becerra, Salvador Garcia-Lopez