China 
Africa 
Explore chapters and articles related to this topic
Big Data in Computational Health Informatics
Published in Ayman El-Baz, Jasjit S. Suri, Big Data in Multimodal Medical Imaging, 2019
Ruogu Fang, Yao Xiao, Jianqiao Tian, Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, S. S. Iyengar
Recently, the introduction of EHR to U.S. hospitals led the healthcare industry into a new, high-tech age, with a high potential for the use of analytics to improve outcomes. The EHR is well known for its benefits of delivering standardized medical records and improving patient care with reduced errors and costs. With the EHR, healthcare providers are able to access information about individual patients or populations, including demographics, medical history, laboratory test results, personal statistics, etc. [27]. Taking advantage of big data means quickly capturing high volumes of data generated in many different formats with dynamic structures. However, there are issues like latency and scalability. Low latency is a highly desired property for stream processing as a big data technology, while scaling data integration is critical for adapting to the high-volume and high-velocity nature of big data. Apache Hadoop coupled with existing integration software and Hadoop Map/Reduce framework could provide the computing environment for parallel processing. More recently, Hadoop Spark [28], a successor system that is more powerful and flexible than Hadoop MapReduce, is getting more and more attention due to its lower latency queries, iterative computation, and real-time processing. Storm* is another scalable and fast distributed framework with a special focus on stream processing.
Big Data and Health
Published in Unhelkar Bhuvan, Big Data Strategies for Agile Business, 2017
The move to a holistic EPR with embedded Big Data is accomplished as follows: Personal patient data: This is the static, structural data of the patient, such as name, address, and contact details.Family and support data: Includes the contact details of next of kin, friends, and emergency contacts.Transactional financial data: Relates to the details of insurance, billing, payments, and so on. This includes payments made, charges pending, refunds due, methods of payment, and public care versus private insurance.Benefits and entitlements: The entitlements and benefits due to that patient, for example, free prescriptions based on income levels and quota reached.Medical history: The medical history of the patient, including previous reports, test results, postsurgical recovery history, family hereditary details, and allergies and reactions.Prescription history: The history of prescriptions, including current medications.
Applications of IoT in Medical Technology and Healthcare
Published in Rajdeep Chowdhury, S. K. Niranjan, Advances in Applications of Computational Intelligence and the Internet of Things, 2022
Parshant Kumar Sharma, Shraddha Kaushik, Saurabh Pandey, Megha Gupta, Nishant Vats, Manu Gautam, Madhusudan Sharma
It is beneficial for the doctors to know the patient’s medical history.14 Based on literature, cloud storage is most effective for storage purposes.14 As machine learning is not effective unless large databases of information are available.15 To improve health-care system, machine learning is a boon. Machine learning provides effective method to identify previously unknown data, give treatment and diagnostic plans, and recommend to the doctors which is individual patient specific. To implement machine learning, cloud storage architecture should be designed (Fig. 3.2).2,16
Secure and Privacy in Healthcare Data Using Quaternion-based Neural Network Cryptography with the Blockchain Mechanism
Published in IETE Journal of Research, 2023
The healthcare industry is a significant sector, and the medical examination practices are followed based on accurate latest technologies. This helps to perform accurate diagnosis and prevention of the growth of various diseases. Hence by introducing the latest computing solutions in health care, various challenges and many issues can be addressed. Confidentiality of patient data is expected to be stored in a secure place. For disease diagnosis, medical data access should be provided to medical practitioners, whereas for those who are without authority, the access is blocked. For effective treatment and to know more about a patient’s disease, medical information is shared in a healthcare environment. Sharing such sensitive data in the health environment can facilitate policy-making, medical diagnosis and biomedical research. For the best treatment decision, the patient’s medical history may be required by the doctors. In the case of data sharing in healthcare, user trust is the key factor, and any threats or deficiencies may result in distrust among the patients [1–3].
Analytics on medical records collected from a distributed system deployed in the Indian rural demographic
Published in Journal of Management Analytics, 2018
K.G. Srinivasa, Sriram Anupindi, Arvind Kumar
A medical record is the systematic documentation of a patient's entire medical history and care across time. Medical records have been implemented in a number of urban establishments, but have yet to penetrate the rural environment. In a traditional record system, each patient is identified by a unique identifier for which a folder is created and assigned. This folder would contain the entire medical history of the patient, including all the inpatient, outpatient and immunization records. The traditional approach of medical records faces significant criticism such as Large physical spaces being assigned for the storage of records.Records being prone to physical damage such as fire, flooding, and theft.A detailed complex catalog required to be maintained in order to retrieve various medical records.Records not being portable, and being difficult for patients to access.
Mobile applications in peripheral arterial disease (PAD): a review and introduction of a new innovative telemonitoring application: JBZetje
Published in Expert Review of Medical Devices, 2021
Michael J. Nugteren, Fabio S. Catarinella, Olivier H.J. Koning, Jan-Willem Hinnen
Furthermore, information services are available in two ways: 1. Patients are able to fill in information about their medical history before consultation, such as previous surgeries, diseases and current medication. 2. Disease-specific information is provided, such as causes and consequences of the disease and possible treatment options are explained.