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Design and Development of an Electronic Platform for Allergen Immunotherapy in China.

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Title: Design and Development of an Electronic Platform for Allergen Immunotherapy in China.
Authors: Wang, Wanjun, Zhu, Zheng, Fu, Wanyi, Hu, Qiurong, Shi, Xu, Chen, Ruchong, Li, Jing, Basu Roy, Sohini
Source: International Journal of Telemedicine & Applications; 12/12/2025, Vol. 2025, p1-11, 11p
Subject Terms: ALLERGY desensitization, MOBILE apps, DATA integration, MEDICAL practice, PATIENT monitoring, CLOUD computing, PATIENT care, INFORMATION storage & retrieval systems
Geographic Terms: CHINA
Abstract: Background: A variety of patient populations receive allergen immunotherapy (AIT), but clinicians still lack an effective electronic platform to manage them. Methods: We designed a platform based on the framework of value set extraction standardization, integration, and structurization. Average medication scoring (AMS) and other electronic medical records were developed and stored on a MySQL database. Data storage is hosted on cloud servers, linked to a mobile application, Bluetooth lung function monitoring, and a dedicated website that acts as a front‐end. Results: Since 2015, 23,847 patients in 48 hospitals with AIT prescriptions were included. Of these patients, the median age was 15 (interquartile range, 10–27) years. Allergic rhinitis was the most common disorder and accounted for 9753 (40.9%) of the cases. Five hundred and thirty‐three basic data elements and six independent modules were constructed for the platform to facilitate the physicians in establishing SCIT projects, symptom scores, AMS, lung function tests, and follow‐up appointments. One hundred and twelve drugs including 10 dosage forms were identified from an internal list of the dataset. The unit score was calculated based on the action mechanism of the medicine. The AMS formula has six parameters: total dose, frequency, period, unit score, unit dose, and follow‐up days. A lower AMS suggests a better treatment efficacy. Conclusion: The program presented our experience in developing, pilot testing, and evaluating an electronic AIT platform, and future research would indicate whether the template could be made more time efficient in clinical practice. [ABSTRACT FROM AUTHOR]
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Database: Biomedical Index
Description
Abstract:Background: A variety of patient populations receive allergen immunotherapy (AIT), but clinicians still lack an effective electronic platform to manage them. Methods: We designed a platform based on the framework of value set extraction standardization, integration, and structurization. Average medication scoring (AMS) and other electronic medical records were developed and stored on a MySQL database. Data storage is hosted on cloud servers, linked to a mobile application, Bluetooth lung function monitoring, and a dedicated website that acts as a front‐end. Results: Since 2015, 23,847 patients in 48 hospitals with AIT prescriptions were included. Of these patients, the median age was 15 (interquartile range, 10–27) years. Allergic rhinitis was the most common disorder and accounted for 9753 (40.9%) of the cases. Five hundred and thirty‐three basic data elements and six independent modules were constructed for the platform to facilitate the physicians in establishing SCIT projects, symptom scores, AMS, lung function tests, and follow‐up appointments. One hundred and twelve drugs including 10 dosage forms were identified from an internal list of the dataset. The unit score was calculated based on the action mechanism of the medicine. The AMS formula has six parameters: total dose, frequency, period, unit score, unit dose, and follow‐up days. A lower AMS suggests a better treatment efficacy. Conclusion: The program presented our experience in developing, pilot testing, and evaluating an electronic AIT platform, and future research would indicate whether the template could be made more time efficient in clinical practice. [ABSTRACT FROM AUTHOR]
ISSN:16876415
DOI:10.1155/ijta/5572974