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A Systematic Review of Health Informatics Applications in Clinical Practice and Healthcare Management Javeedullah, Mohammed; Zeb, Shah
BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 04 (2022): BULLET : Jurnal Multidisiplin Ilmu ( Agustus-September)
Publisher : CV. Multi Kreasi Media

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Abstract

Healthcare is improved in both healthcare delivery and administrative =tasks by integrating technology and data management through health informatics. This analysis looks at how some health informatics systems are used, for example, Electronic Health Records (EHRs), Clinical Decision Support Systems (CDSS), Health Information Exchanges (HIE) and telemedicine platforms. As a result of these technologies, patient safety has improved, quality of care has risen and daily work is more efficient due to updated data, streamlined procedures and evidence being easily used. Issues related to making different systems work together, safeguarding private information and being reluctant to change keep many from using AI widely. It also looks at new technologies like artificial intelligence, block chain and telehealth which could make healthcare better. Overcoming these issues and using these new methods gives health informatics the ability to make healthcare more efficient, personalized and sustainable worldwide.
A Nonlinear Delay Mathematical Model for Predicting Chlamydia Dynamics and Intervention Effects Zeb, Shah; Mohd Yatim, Siti Ainor; Kamran, Ayesha; Zulfiqar, Sabahat; Rafiq, Muhammad; Mohamad Noor, Nursyazwani
Communication in Biomathematical Sciences Vol. 8 No. 2 (2025)
Publisher : The Indonesian Bio-Mathematical Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/cbms.2025.8.2.1

Abstract

Chlamydia is a widespread sexually transmitted infection in Europe, often leading to complications such as rectal discomfort, throat inflammation, and reactive arthritis. This study presents a novel nonlinear delay differential equation model that enhances the classical SEIAISR framework to more accurately represent Chlamydia transmission dynamics. The model integrates biologically justified exponential time delays to reflect incubation periods and the delayed impact of interventions like condom use, routine screening, partner reduction, and microbiome health. We establish the existence and uniqueness of solutions using the Banach fixed point theorem and analyze the model’s dynamics by computing the basic reproduction number and studying equilibria and their stability via Lyapunov functions and Routh-Hurwitz criteria. A sensitivity analysis identifies key epidemiological drivers. For numerical simulation, we employ Euler’s method, the Runge-Kutta 4th order (RK4) method, and a specially developed non-standard finite difference (NSFD) scheme. The NSFD approach preserves critical properties such as positivity and stability, making it suitable for realistic long-term predictions. Results highlight the importance of timely interventions and show the superiority of structurepreserving numerical methods. The findings support the development of more targeted and effective strategies to reduce chlamydia transmission and complications among high-risk groups, reinforcing evidence-based decisionmaking within the healthcare system.