Book ChapterDOI
MEDIDRONE—A Predictive Analytics-Based Smart Healthcare System
D. Sangeetha,M. Venkata Rathnam,R. Vignesh,Jitta Sai Chaitanya,V. Vaidehi +4 more
- pp 19-33
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TLDR
The MEDIDRONE intends to provide the task of periodically collecting the vital signs of the people in the village as a paid work to medical practitioners, social workers, and unemployed people which could improve the economic status of the country.Abstract:
Health care is one of the constitutional rights of the people in India. Every resident of this country has the right to the highest attainable standard of health both physically and mentally. But, in India, the number of active Primary Health care Centers (PHCs) is very less in number, especially in the remote regions. Even in places where there are sufficient PHCs, there is a shortage of doctors, staffs, and medicine. Proper medication should be offered to people in rural areas in order to improve their health, thereby reducing the number of deaths. The trending technologies like Internet of Things (IoT), Artificial Intelligence (AI), and Predictive Analytics have a key role in improving the medication and in providing preventive medical care. Therefore, exploiting these technologies to diagnose and monitor patients remotely using Body Area Network (BAN) devices and smartphones, the MEDIDRONE is proposed. The MEDIDRONE has been designed to provide on-time emergency services to the people in rural villages using drones. In addition, predictive models have been trained to provide people with insights from the data collected for their long-term welfare. The MEDIDRONE besides providing health insights and alerts to the people, also addresses the issue of unemployment in rural areas. The MEDIDRONE intends to provide the task of periodically collecting the vital signs of the people in the village as a paid work to medical practitioners, social workers, and unemployed people which could improve the economic status of the country.read more
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Journal ArticleDOI
Trends, Technologies, and Key Challenges in Smart and Connected Healthcare
Alramzana Nujum Navaz,Mohamed Adel Serhani,Hadeel T. El Kassabi,Nabeel Al-Qirim,Heba M. Ismail +4 more
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Efficacy and pitfalls of digital technologies in healthcare services: A systematic review of two decades
TL;DR: The novel contribution of current study indicate that digital technologies have significantly influenced the healthcare services such as the beginning of electronic health record, a new era of digital healthcare, while robotic surgeries and machine learning algorithms may replace practitioners as future technologies.
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Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud
Vinicius Facco Rodrigues,Rodrigo da Rosa Righi,Cristiano André da Costa,Felipe André Zeiser,Andreas Maier,Daeyoung Kim +5 more
TL;DR: In this article , the authors proposed a hierarchical multi-tier remote health monitoring architecture in smart cities by combining edge, fog, and cloud computing, which provides adaptive data compression and homomorphic encryption at the edge, a multiantier notification mechanism, low latency health traceability with data sharding, a Serverless execution engine to support multiple fog layers, and an offloading mechanism based on service and person computing priorities.
References
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TL;DR: The Medical Information Mart for Intensive Care (MIMIC-III) as discussed by the authors is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital.
Journal Article
MIMIC-III, a freely accessible critical care database
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TL;DR: MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital.
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A Health-IoT Platform Based on the Integration of Intelligent Packaging, Unobtrusive Bio-Sensor, and Intelligent Medicine Box
Geng Yang,Li Xie,Matti Mäntysalo,Xiaolin Zhou,Zhibo Pang,Li Da Xu,Sharon Kao-Walter,Qiang Chen,Li-Rong Zheng +8 more
TL;DR: The proposed iHome Health-IoT platform seamlessly fuses IoT devices with in-home healthcare services for an improved user experience and service efficiency.
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Internet of Medical Things (IOMT): Applications, Benefits and Future Challenges in Healthcare Domain
TL;DR: The peoples contribution of Iot in healthcare domain, application and future challenges of IOT in term of medical services in healthcare, and the identification of major challenges in IOMT are presented.
Proceedings ArticleDOI
Drone Delivery Models for Healthcare
Judy E. Scott,Carlton H. Scott +1 more
TL;DR: A contribution in this paper of two new models associated with the design of a drone healthcare delivery network will facilitate more timely, efficient and economical drone healthcare delivery to potentially save lives.