Literature DB >> 34950987

Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare.

Yi Xie1,2, Lin Lu1,2, Fei Gao1,2, Shuang-Jiang He2,3, Hui-Juan Zhao2,3, Ying Fang2, Jia-Ming Yang2, Ying An2,4, Zhe-Wei Ye1,2, Zhe Dong5.   

Abstract

Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from one or more chronic health conditions, thus placing a heavy burden on individuals, families, and healthcare systems. With the advent of the "Smart Healthcare" era, a series of cutting-edge technologies has brought new experiences to the management of chronic diseases. Among them, smart wearable technology not only helps people pursue a healthier lifestyle but also provides a continuous flow of healthcare data for disease diagnosis and treatment by actively recording physiological parameters and tracking the metabolic state. However, how to organize and analyze the data to achieve the ultimate goal of improving chronic disease management, in terms of quality of life, patient outcomes, and privacy protection, is an urgent issue that needs to be addressed. Artificial intelligence (AI) can provide intelligent suggestions by analyzing a patient's physiological data from wearable devices for the diagnosis and treatment of diseases. In addition, blockchain can improve healthcare services by authorizing decentralized data sharing, protecting the privacy of users, providing data empowerment, and ensuring the reliability of data management. Integrating AI, blockchain, and wearable technology could optimize the existing chronic disease management models, with a shift from a hospital-centered model to a patient-centered one. In this paper, we conceptually demonstrate a patient-centric technical framework based on AI, blockchain, and wearable technology and further explore the application of these integrated technologies in chronic disease management. Finally, the shortcomings of this new paradigm and future research directions are also discussed.
© 2021. Huazhong University of Science and Technology.

Entities:  

Keywords:  artificial intelligence; blockchain; chronic diseases; health monitoring; healthcare management; patient-centric; personalization; smart healthcare; wearable technology/devices

Mesh:

Year:  2021        PMID: 34950987      PMCID: PMC8702375          DOI: 10.1007/s11596-021-2485-0

Source DB:  PubMed          Journal:  Curr Med Sci        ISSN: 2523-899X


  58 in total

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Journal:  JAMA Netw Open       Date:  2019-02-01

3.  Wearable and Implantable Electronics: Moving toward Precision Therapy.

Authors:  Yu Song; Jihong Min; Wei Gao
Journal:  ACS Nano       Date:  2019-11-14       Impact factor: 15.881

Review 4.  Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications.

Authors:  S Ather; T Kadir; F Gleeson
Journal:  Clin Radiol       Date:  2019-06-12       Impact factor: 2.350

5.  Utilizing an Artificial Neural Network to Predict Self-Management in Patients With Chronic Obstructive Pulmonary Disease: An Exploratory Analysis.

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Journal:  J Nurs Scholarsh       Date:  2020-12-21       Impact factor: 3.176

6.  The role of artificial intelligence in identifying asthma in pediatric inpatient setting.

Authors:  Gang Yu; Zheming Li; Shuxian Li; Jingling Liu; Moyuan Sun; Xiaoqing Liu; Fenglei Sun; Jie Zheng; Yiming Li; Yizhou Yu; Qiang Shu; Yingshuo Wang
Journal:  Ann Transl Med       Date:  2020-11

Review 7.  Wearable Health Devices in Health Care: Narrative Systematic Review.

Authors:  Lin Lu; Jiayao Zhang; Yi Xie; Fei Gao; Song Xu; Xinghuo Wu; Zhewei Ye
Journal:  JMIR Mhealth Uhealth       Date:  2020-11-09       Impact factor: 4.773

Review 8.  Application Prospect of Artificial Intelligence in Rehabilitation and Management of Myasthenia Gravis.

Authors:  Ying Zhang; Hongmei Yu; Rui Dong; Xuan Ji; Fujun Li
Journal:  Biomed Res Int       Date:  2021-03-04       Impact factor: 3.411

9.  Detecting Parkinson's Disease from Wrist-Worn Accelerometry in the U.K. Biobank.

Authors:  James R Williamson; Brian Telfer; Riley Mullany; Karl E Friedl
Journal:  Sensors (Basel)       Date:  2021-03-14       Impact factor: 3.576

10.  Implementation of Pharmacogenomics and Artificial Intelligence Tools for Chronic Disease Management in Primary Care Setting.

Authors:  Patrick Silva; David Jacobs; John Kriak; Asim Abu-Baker; George Udeani; Gabriel Neal; Kenneth Ramos
Journal:  J Pers Med       Date:  2021-05-21
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  3 in total

Review 1.  Wearable Devices for Physical Monitoring of Heart: A Review.

Authors:  Guillermo Prieto-Avalos; Nancy Aracely Cruz-Ramos; Giner Alor-Hernández; José Luis Sánchez-Cervantes; Lisbeth Rodríguez-Mazahua; Luis Rolando Guarneros-Nolasco
Journal:  Biosensors (Basel)       Date:  2022-05-02

2.  Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus.

Authors:  Amartya Mukhopadhyay; Jennifer Sumner; Lieng Hsi Ling; Raphael Hao Chong Quek; Andre Teck Huat Tan; Gim Gee Teng; Santhosh Kumar Seetharaman; Satya Pavan Kumar Gollamudi; Dean Ho; Mehul Motani
Journal:  Int J Environ Res Public Health       Date:  2022-07-23       Impact factor: 4.614

3.  Smart Health Monitoring System with Wireless Networks to Detect Kidney Diseases.

Authors:  Jyoti Dhanke; Naveen Rathee; M S Vinmathi; S Janu Priya; Shafiqul Abidin; Mikiale Tesfamariam
Journal:  Comput Intell Neurosci       Date:  2022-10-08
  3 in total

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