Simplified Unified Telehealth Database to Manipulate Search-Related Queries

Telehealth records are commonly used as patient databases for teleconsultations. These health records are available globally to physicians, patients, telehealth researchers, and government sectors. However, vendors that maintain these telehealth services use their own formats, with available data organized into different categories. For instance, a government sector or a researcher requires access to a telehealth record. However, that record appears in heterogeneous formats. It is tedious to extract any research analysis. As an alternative, a different domain of a large language model is proposed to meet various application objectives, but a heterogeneous health record consolidation large language model is not proposed for telehealth record manipulation. In this article, the authors propose a novel model to prepare heterogeneous health records for analysis. Five stages of model preparation for processing six types of health records include: Input Layer, Schema Extraction Layer, Term Machine Engine, Schema Mapping Layer, Transformation Engine, and Unified Record Output. The major component of the proposed work is termed the “machine engine,” which groups related terms into a single category to support the preparation of the unified health record. The execution of this work is tested with a sample of five different telehealth records. The output generated was verified successfully.