Next Generation Dentistry Practices To Enhance Patient Outcomes
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Next-Generation Dentistry Practices to Enhance Patient Outcomes
Next-generation dentistry practices revolutionize the way dental care is delivered, focusing on advanced technologies and personalized treatments to significantly enhance patient outcomes. Innovations such as 3D printing, laser dentistry, artificial intelligence (AI) for diagnostics, and digital impressions streamline procedures, reduce discomfort, and improve precision. These cutting-edge tools increase efficiency while enabling preventive care, early detection of oral diseases, and tailored treatment plans. By integrating holistic approaches with state-of-the-art techniques, further research into dentistry practices may create more patient-centered experiences that prioritize long-term dental health, comfort, and satisfaction. Next-Generation Dentistry Practices to Enhance Patient Outcomes explores the latest advancements in the medical practices transforming patient care. It delves into various cutting-edge approaches, including the utilization of big data and analytics, innovative chronic disease management techniques, personalized medicine, emerging pain management therapies, the impact of lifestyle medicine, and the evolution of patient-centered care. This book covers topics such as patient care, regenerative healthcare, and smart materials, and is a useful resource for dentists, medical professionals, educators, academicians, and researchers.
Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare
Author: John Joseph, Ferdin Joe
language: en
Publisher: IGI Global
Release Date: 2025-05-28
The landscape of healthcare is transformed by the integration of advanced data analytics, especially in the realm of multi-source data analysis. By combining diverse datasets, such as electronic health records (EHRs), genetic information, wearable device data, and patient-reported outcomes, healthcare providers can gain a comprehensive understanding of a patient's health status. This approach creates more personalized treatment plans, enhances diagnostic accuracy, and supports early detection of potential health issues. Communication between various data sources allows for the identification of hidden trends and patterns, improving predictive capabilities and optimizing patient outcomes. As healthcare systems adopt this data-driven process, it is crucial to address challenges related to data privacy, integration, and the interpretation of complex datasets, ensuring the potential benefits of multi-source data analysis are realized in ethical and effective ways. Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare explores the transformative potential of big data and AI in healthcare, focusing on informed decision-making. It delves into the integration of vast, diverse datasets, analyzed through AI algorithms to enhance patient outcomes and operational efficiency. This book covers topics such as automation, machine learning, and neural networks, and is a useful resource for healthcare professionals, computer engineers, business owners, academicians, researchers, and data scientists.
Surgically Facilitated Orthodontic Therapy
Author: George A. Mandelaris
language: en
Publisher: Springer Nature
Release Date: 2023-06-02
This book covers all aspects of Surgically Facilitated Orthodontic Therapy and is intended to guide practitioners involved in dental interdisciplinary therapy to managing complex cases. It demonstrates the next level of collaboration through managing core problems of the patients and planning cases using digital dentistry for enhanced disclosed and more ideal outcomes. Methods for regaining space appropriation and dentoalveolar bone engineering are illustrated. Emphasis is placed on corticotomy assisted orthodontic therapy and 3D planning in order to help practitioner to achieve outcomes that were previously unrecognized. The book is written by leading experts in the field and is a rich source for periodontists, oral and maxillofacial surgeons, orthodontists and restorative clinicians interested in the subject.