E-Book, Englisch, 320 Seiten
Sharma / Fuloria / Singh The Digital Pillbox: Integrating AI, IoT, and Pharma Solutions (Part 2)
2. Auflage 2025
ISBN: 979-8-89881-069-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
E-Book, Englisch, 320 Seiten
ISBN: 979-8-89881-069-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
Building on the foundations of Part 1, this volume explores advanced integrations of AI, IoT, and data-driven systems in pharmaceutical logistics, drug lifecycle management, clinical trials, and personalized therapeutics. It emphasizes the emergence of connected ecosystems where devices, data, and decisions interact seamlessly to enhance drug delivery, traceability, and compliance. Chapters cover critical topics such as digital drug development, AI-enabled pharmacovigilance, remote patient monitoring, blockchain-secured supply chains, and ethical frameworks for digital pharma solutions. The book also addresses the challenges of interoperability, cybersecurity, and adapting to global healthcare standards. Key Features: Analyze advanced applications of AI and IoT across the pharmaceutical value chain Examine digital transformation in clinical trials, drug tracking, and e-prescriptions Present case studies on AI-driven decision support and blockchain in pharma logistics Discuss regulatory compliance, cybersecurity, and ethical considerations Explore future trends in connected healthcare and smart medication ecosystems.
Autoren/Hrsg.
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Weitere Infos & Material
Futuristic Trends in Medication Management
N. Anusha1, Akhil Sharma2, Akanksha Sharma2, Sunita3, Shaweta Sharma4, *
Abstract
“Futuristic Trends in Medication Management” discusses the cutting-edge developments that are likely to bring forth a revolution in delivering, monitoring, and maximising medication in healthcare systems across the globe. This extensive chapter covers a range of innovations, such as state-of-the-art digital health platforms, precision medicine approaches individualised for each patient’s needs, advanced decision support systems driven by artificial intelligence, and robotic automation that is changing how dispensing and administration are done. Through detailed analysis of these emerging patterns, the chapter provides insight into how this can improve medication adherence and reduce drug errors while at the same time improving therapeutic effects and making healthcare delivery efficient. Furthermore, it critically examines various challenges and ethical concerns linked with integrating these futuristic technologies into conventional medical practices. Drawing from current research findings and expert opinions, this chapter presents an all-encompassing view of how future trends will impact medication management. It is indispensable to policymakers, researchers, and care providers grappling to make sense of the ever-changing, complex world of pharmaceutical care.
* Corresponding author Shaweta Sharma: School of Medical and Allied Sciences, Galgotias University, Plot No. 2, Yamuna Expy, Opposite Buddha International Circuit, Sector 17A, Greater Noida, Uttar Pradesh, India; E-mail: shawetasharma@galgotiasuniversity.edu.in
INTRODUCTION
The rapidly transforming healthcare scenario encapsulates a dynamic array of futuristic trends in medication management. Thus, these approaches and technologies can change how medications are prescribed, administered, and monitored. These trends represent a confluence of cutting-edge healthcare advancements with technology, promising to disrupt traditional practices and improve patient care outcomes. The advent of digital health platforms, personalised medicine strategies, AI-driven decision support systems, and robotic automation has opened up new possibilities for optimising medication management [1, 2].
A shift towards patient-centred care characterizes the changing landscape of healthcare, where treatments are more individualised based on specific needs and circumstances. A futuristic approach to medication management is precision medicine, which uses genetic and molecular data to customise therapies according to patients’ genomic makeup and biomarker profiles. Such an individualised treatment method enhances efficacy and ensures minimal side effects from drugs, improving patient outcomes [3, 4].
Artificial Intelligence (AI) has been crucial in developing future medication management by improving clinical decision-making. AI-powered decision support systems analyse large amounts of patient data, enabling doctors to make informed decisions concerning their treatments in real-time. Computer programs employing predictive analytics algorithms help forecast patients’ responses to medications while identifying possible drug interactions or deviations from expected outcomes, therefore prompting early intervention measures in addition to risk mitigation [5].
Another transformative trend is robotic automation, reshaping the practice of medication management. In healthcare settings, automated dispensing systems streamline medication distribution workflows, reducing errors and increasing efficiency. Robotic-assisted surgery helps enhance accuracy and precision during surgical procedures, leading to better surgical outcomes and patient recovery rates. It enhances precision while administering drugs, thus leading to better results following surgeries. This is through better administration techniques during surgeries like robotic-assisted surgery that have brought about positive changes. Through telepresence robots, remote patient monitoring allows health providers to keep track of their patients’ intake of medicines and vital signs outside hospitals [6].
Healthcare professionals, researchers, and policymakers must keep up with these technological breakthroughs to stay relevant in this field. Adapting to futuristic trends can help improve patient care, streamline operations, and reduce healthcare costs. However, it also creates problems related to data privacy, regulatory compliance, and equitable access to technology. Such trends drive creativity and cooperation between different departments, leading to better ideas on how medication management can be improved in the future and for everyone [7, 8]. Futuristic trends in medication management across various aspects are summarised in Table 1.
| Aspect | Futuristic Trends |
|---|
| Technology | Nanotechnology: Utilizing nanobots for targeted drug delivery and monitoring within the body [9]. |
| Artificial Intelligence (AI): AI algorithms for personalised medication dosing, prediction of adverse reactions, and drug interactions [10]. |
| Blockchain: Secure and transparent medication supply chain management, ensuring authenticity and traceability [11]. |
| Patient Engagement | Virtual Reality (VR): VR-based therapy for pain management and medication adherence [12]. |
| Telemedicine: Remote consultations for medication management, including virtual medication reviews and counselling [13]. |
| Wearable Devices: Integration of wearable sensors for real-time monitoring of patient vitals and medication adherence [14]. |
| Data Analytics | Big Data Analysis: Analysing large datasets to identify patterns in medication efficacy, adverse reactions, and population health trends [15]. |
| Predictive Analytics: Predicting patient medication responses based on genetic, lifestyle, and environmental factors [16]. |
| Real-time Monitoring: Continuous monitoring of patient data to adjust medication regimens in real-time for optimal outcomes [17]. |
| Supply Chain | 3D Printing: On-demand production of personalised medications, reducing supply chain complexities and costs [18]. |
| Drone Delivery: Drone-based delivery of medications to remote or inaccessible areas, improving accessibility and reducing delivery times [19]. |
| Smart Packaging: RFID-enabled packaging tracking medication usage and expiration dates, reducing wastage and ensuring medication efficacy [20]. |
| Regulatory Landscape | Precision Medicine: Regulatory frameworks supporting... |
