A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions
By C. O. Rolim, F. Koch, Carlos Becker Westphall, Jorge Werner, A. Fracalossi, Giovanni Schmitt Salvador. 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine, 2010
453 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems
View Paper: https://www.semanticscholar.org/paper/7b40c1bf25d41ad4ac5ec1b9709b8a3c6515d49f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Valerio Persico
- Giuseppe Aceto
- Antonio Pescapè
- Sherali Zeadally
- Hannu Tenhunen
- Amir-Mohammad Rahmani
- Ernesto Exposito
- Tuan Anh Nguyen Gia
In Computer Vision and Pattern Recognition
- Guang-Zhong Yang
- Hannu Tenhunen
- Gaurav Sharma
- Tomi Westerlund
- Sherali Zeadally
- Kayvan Najarian
- Benny P. L. Lo
- Mohammad Mehedi Hassan
In Information Systems
- Valerio Persico
- Antonio Pescapè
- Giuseppe Aceto
- Hannu Tenhunen
- Mohammad Mehedi Hassan
- Ernesto Exposito
- M. Shamim Hossain
- M. A. Hossain
Citations in the corpus
- Unobtrusive Sensing and Wearable Devices for Health Informatics (2014, background): “Up to date, a number of healthcare applications based on cloud computing technology have been reported, such as storage and management of EHRs [156], automatic health data collection in health care institutions [157], intelligent emergency health care [158], radiotherapy, etc.”
- Opportunities and Challenges of Cloud Computing to Improve Health Care Services (2011, background): “The main benefits of the system are that it provides users with 7-days-a-week, real-time data collecting, eliminates manual collection work and the possibility of typing errors, and eases the deployment process [36].”
- The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “Issues often derive from the limited confidence in the provider in charge to store very sensitive data, in its infrastructure [242, 96], and from the related concern of loosing control over data [90].”
- Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective (2020, unknown): “Cloud computing as an enabler for cost e ff ective solution for patient information, sensor-based health data collection and delivery has been proposed in many studies [14]; [90]; [102].”
- Big Data Analytics in Healthcare (2015, background): “Medical data has been investigated from an acquisition point of view where patients’ vital data is collected through a network of sensors [57].”
- Enabling Technologies for Green Internet of Things (2017, background): “be collected in an energy efficient manner and stored on clouds for further processing [51].”
- Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction (2015, background): “A health monitoring system based on WBAN can handle these drawbacks effectively through its characteristics of mobility and wireless transmission.”
- Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control (2016, background): “[10] proposed a framework covering the process from data collection to data delivery.”
- A Survey on Sensor-Cloud: Architecture, Applications, and Approaches (2013, background): “Service templates are prepared by the service providers as service catalog, and this catalog enables the creation of service instances automatically that are accessed by multiple users [8, 19].”
- Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges (2015, background): “The Data Transmission components of the system are responsible for conveying recordings of the patient from the patient’s house (or any remote location) to the data center of the Healthcare Organization (HCO) with assured security and privacy, ideally in near real-time.”