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Identifying and Validating Data Elements and Main Characteristics of a Teleconsultation and Televisit System for
Fatemeh Sarpourian1, Maryam Poursadeghfard2, Leila Erfannia1
1Department of Health Information Management, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Abstract:
Background: Patients with multiple sclerosis (MS) face barriers and disparities in accessing care for evaluation and treatment. Given the unmet needs and barriers to access to care, teleservices (e.g., teleconsultation and televisit) could support these patients by providing reliable information, offering specialty care and managing symptoms. The objective of this work was to identify and validate the data elements and main characteristics required for the design and implementation of a teleconsultation and televisit system for patients with MS. Methods: This descriptive, cross-sectional, multicenter study was completed through three main stages in 2023-2024. Various methods, including literature review, focus group discussion, and the Delphi technique, were employed to identify the data elements. A review of the literature was carried on electronic databases to detect the elements for the system. A focus group was established to review, add, or delete the data elements obtained from searching the literature. The Delphi technique was employed to achieve consensus and validate the preliminary system design. Results: A total of 97 data elements were classified into seven distinct categories, including patients' demographic information, physicians' demographic information, clinical information, teleconsultation, televisit, statistics/reports generation, and other system capabilities. Overall, 104 data elements were approved by the specialists for inclusion in the system. Conclusions: In this research, the necessary data elements for the design and implementation of a teleconsultation and televisit system for patients with MS were suggested. System developers and decision makers can utilize these data elements to recognize the specific information required in the system while initiating the design process for various systems for patients with MS.
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