1st Edition

Innovation in Healthtech A Roadmap for Empowering Healthcare

Edited By Rakesh Kumar, Meenu Gupta Copyright 2025
346 Pages 69 B/W Illustrations
by CRC Press

346 Pages 69 B/W Illustrations
by CRC Press

346 Pages 69 B/W Illustrations
by CRC Press

Sophisticated data analysis is revolutionizing healthcare decision- making, personalized treatments, and operational efficiency. Innovations in HealthTech covers this impact and highlights the significance of robust security measures in safeguarding sensitive medical data and ensuring patient confidentiality. The book provides insights into the development, implementation, and future potential... Read more

1. Introduction: Pioneering the Future of Clinical Care -- Integrative Technologies and Emerging Trends. 2. The Landscape of HealthTech: A Comprehensive Overview. 3. Technology and Diagnostics: Advancements in Precision Medicine. 4. Digital Health Records: Enhancing Data-Driven Clinical Decisions. 5. Telemedicine and Remote Monitoring: Expanding Access to Care. 6. Artificial Intelligence and Machine Learning in Clinical Care: Revolutionizing Decision Support. 7. Wearable HealthTech: Empowering Patients and Preventive Care. 8. Blockchain and Data Security: Safeguarding Patient's Information. 9. Ethical Considerations in HealthTech: Balancing Innovation and Privacy. 10. The Future of Clinical Trials: Accelerating Drug Development. 11. Challenges and Roadblocks: Navigating the HealthTech Ecosystem. 12. Real-World Examples of HealthTech Empowerment. 13. Revolutionizing Healthcare: The Impact of Wearable Health Technology on Proactive and Preventative Care. 14. Artificial Intelligence in Healthcare: From Diagnosis to Treatment. 15. The Road Ahead: Forecasting the Future Impact of HealthTech Innovations. 16. Embracing HealthTech for a Healthier Tomorrow.

Biography

Dr. Meenu Gupta is an Associate Professor at the UIE-CSE Department, Chandigarh University, India. She is pursuing her Post Doc Fellowship from MIR lab, USA. She has completed her Ph.D. in Computer Science and Engineering from Ansal University, Gurgaon, India, in 2020. She has more than 16 years of teaching experience. Her research areas cover Machine Learning, Intelligent Systems, and Data mining, with a specific interest in Artificial Intelligence, Image Processing and Analysis, Smart Cities, Data Analysis, and Human/Brain-Machine Interaction (BMI). She has edited more than 17 books and authored four engineering books. She reviews several journals, including Big Data, Artificial Intelligence Review, CMC, Scientific Reports, Digital Health, etc. She is a life member of ISTE and IAENG. She is also a Senior member of IEEE. She has authored or co-authored more than 37 book chapters and over 200 papers in refereed international journals and conferences. She also organised many conferences technically sponsored by the IEEE Delhi Section, AIP, etc.

Dr. Rakesh Kumar is an Associate Director at the UIE-CSE Department, Chandigarh University, Punjab, India. He is pursuing his Post Doc Fellowship from MIR lab, USA. He has completed his Ph.D. in Computer Science and Engineering from Punjab Technical University, Jalandhar, 2017. He has more than 20 years of teaching experience. His research interests are IoT, Machine Learning, and Natural Language Processing. He has edited more than 7 books with the reputed publisher like Elsevier, Springer, Taylor and Francis, etc and authored 5 books. He works as a reviewer for several journals, including Big Data, CMC, Scientific Reports, and TSP, Multimedia Tools and Applications, IEEE Access, etc. He is a Senior Member of IEEE. He has authored or co-authored more than 170 publications in various national/ international conferences and journals. He is also an organizer and editor of many international conferences under the aegis of IEEE and AIP.