Author(s)

Philip de Melo

Department of Nursing and Allied Health, Norfolk State University, Norfolk, VA, USA.

Blood test informatics is a field that combines data science, medical informatics, and research to improve management, treatment, and understanding of diseases. This field uses health data, wearable technology, artificial intelligence (AI), and electronic health records (EHRs) to optimize healthcare. EHR informatics focuses on the following: 1) Using AI and data analytics to tailor EHR data management for individuals, 2) Identifying early signs of complications or predicting blood sugar fluctuations, 3) Using continuous glucose monitors (CGMs) and insulin pumps to collect real-time data, 4) Assisting doctors and patients with real-time recommendations. In this paper, we will discuss the basic principles of EHR informatics focusing on assisting doctors and patients with accurate recommendations and data management. We will demonstrate a new prediction method that improves accuracy compared to other forecasting technologies.

Artificial Intelligence, Electronic Health Records, Prediction Modeling, Metabolic Panel Prediction

de Melo, P. (2025) Prediction Modeling: Basic Metabolic Panel. Advances in Bioscience and Biotechnology, 16, 360-378. doi: 10.4236/abb.2025.169024.