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Integrating Digital Health and Pharmacometric Modeling to Enhance Clinical Pharmacy in AfricaDigital health and AI tools could improve pharmacy care in Africa

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Key Takeaway
Digital health and AI-driven pharmacometrics offer promising pathways for personalized medicine and optimized therapy in Africa.

The integration of digital health technologies, including telemedicine, mobile health applications, and electronic health records, provides a framework to address systemic healthcare challenges in Africa. These tools facilitate more efficient clinical pharmacy practices by streamlining data management and improving patient outreach.

AI-powered clinical decision support systems further enhance these capabilities by assisting clinicians in evidence-based decision-making. By leveraging these technologies, pharmacists can improve monitoring and optimize drug therapy outcomes for patients with both communicable and non-communicable diseases.

Pharmacometric approaches, such as pharmacokinetics and pharmacodynamics modeling, are essential for achieving precision medicine. These models allow for the development of individualized treatment strategies that account for specific genetic and clinical features unique to African populations.

Combining these digital tools with model-informed precision dosing can significantly improve the accuracy of drug prescriptions. This dual approach aims to overcome infrastructure limitations and improve the overall quality of pharmaceutical care across the continent.

How this fits prior evidence

This systematic review addresses a gap in the management of non-communicable diseases by exploring digital health and AI as tools for precision medicine. These findings complement the evidence that lifestyle medicine can reduce the burden of non-communicable diseases in global health contexts and the use of federated analytics for non-communicable disease surveillance. While the prior coverage focused on lifestyle interventions and data surveillance, this review focuses on the technological and pharmacometric infrastructure required to optimize drug therapy and precision medicine in Africa.

Doctors and pharmacists in Africa face unique challenges when treating patients with various diseases. New research looks at how digital tools, like mobile health apps and AI-powered systems, can help change how medicine is managed. These technologies are seen as ways to overcome current hurdles and improve daily pharmacy practices.

By using these digital tools, pharmacists can move toward precision medicine. This means creating treatment plans tailored to a person's specific genetic features and clinical needs. It moves away from a one-size-fits-all approach, making sure the right patient gets the right dose at the right time.

Additionally, the research highlights pharmacometrics. This involves using modeling to predict how a person's body handles a drug. For different African populations, these models can help optimize how drugs are prescribed. While these technologies are promising for improving outcomes, the research focuses on their potential to improve systems rather than reporting specific clinical results.

What this means for you:
Digital tools and AI can help pharmacists in Africa provide more personalized and precise medication plans.

Common questions

How can AI help patients in Africa?

AI-powered clinical decision support systems can help pharmacists overcome healthcare challenges. These tools are viewed as revolutionary instruments to improve clinical pharmacy practice and help manage both communicable and non-communicable diseases more effectively.

What is precision medicine in this context?

Precision medicine uses digital tools and pharmacometric approaches to create individual treatment strategies. By looking at a person's specific genetic and clinical features, pharmacists can tailor medication to fit the individual's unique needs rather than using a general approach.

What are pharmacometric approaches?

Pharmacometric approaches involve using modeling to understand how drugs move through the body. These methods help pharmacists optimize drug prescriptions and improve therapy outcomes specifically for different African populations.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedAug 2026
View Original Abstract ↓
African nations still struggle with several healthcare challenges such as high prevalence of communicable and non-communicable diseases, underdeveloped healthcare systems, lack of healthcare personnel, and uneven distribution of quality healthcare services. Resource constraints and a fragmented healthcare system make the aforementioned challenges even more difficult to solve. However, digital health technology and artificial intelligence (AI) can be viewed as revolutionary instruments that may help to overcome the mentioned challenges and enhance healthcare practices in Africa. The present article provides a review of how digital health technologies and AI influence clinical pharmacy practice and contribute to precision medicine and pharmacometrics in African nations. To do that, a literature search has been performed using the PubMed, Scopus, and Web of Science electronic databases for relevant articles about digital health, AI, clinical pharmacy, precision medicine, pharmacometrics, and healthcare delivery in Africa. Healthcare technologies, such as telemedicine, mobile health apps, electronic health records, and clinical decision support systems powered by AI, are becoming more pervasive and widening the scope of work for clinical pharmacists through their contribution to medication optimization, therapeutic monitoring, and evidence-based clinical decision-making. Their application within precision medicine allows creating an individual treatment strategy considering the genetic and clinical features of the patients. At the same time, pharmacometric approaches, especially pharmacokinetics and pharmacodynamics modeling and model-informed precision dosing, help to optimize drug prescription and therapy outcomes for different African populations. The present article provides a review of how integrating digital health technologies and AI into clinical pharmacy practice could be a promising approach for enhancing precision medicine in Africa. The review also explores their implementation challenges and future opportunities for reasonable healthcare delivery.
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