The dawning of the digital era in the management of hypertension

被引:18
作者
Matsuoka, Ryo [1 ]
Akazawa, Hiroshi [1 ]
Kodera, Satoshi [1 ]
Komuro, Issei [1 ]
机构
[1] Univ Tokyo, Grad Sch Med, Dept Cardiovasc Med, Tokyo, Japan
关键词
Artificial intelligence; Big data; Information and communication technology; !text type='JS']JS[!/text]H Future Plan; Mobile health; BLOOD-PRESSURE; HEALTH; SYSTEM; IMPLEMENTATION; MEDICINE; ADOPTION; JAPAN;
D O I
10.1038/s41440-020-0506-1
中图分类号
R6 [外科学];
学科分类号
1002 ; 100210 ;
摘要
Awareness, treatment, and control of hypertension are of the utmost importance in conquering stroke and cardiovascular disease. To reduce the global burden of hypertension, the Japanese Society of Hypertension (JSH) established the "JSH Future Plan" based on an increasing need to transform the strategy for combating hypertension. In addition to energizing conventional approaches in basic, translational, and clinical research, the application of rapidly evolving digital health technologies and artificial intelligence to hypertension healthcare and research (digital hypertension) holds promise for providing further insights into the pathophysiology and therapeutic targets and implementing predictive, personalized, and preemptive approaches in clinical practice. With great potential to revolutionize the landscape of hypertension, digital hypertension has some technical, legal, ethical, social, and financial issues to overcome. Given the multidisciplinary framework, digital hypertension requires comprehensive and strategic collaboration among industry, academia, and government to move forward toward the goal of "Future Medicine".
引用
收藏
页码:1135 / 1140
页数:6
相关论文
共 62 条
[41]   Machine Learning in Medicine [J].
Rajkomar, Alvin ;
Dean, Jeffrey ;
Kohane, Isaac .
NEW ENGLAND JOURNAL OF MEDICINE, 2019, 380 (14) :1347-1358
[42]  
Riva-Rocci S, 1996, J Hypertens, V14, P1
[43]   Personal Health Records: A Systematic Literature Review [J].
Roehrs, Alex ;
da Costa, Cristiano Andre ;
Righi, Rodrigo da Rosa ;
Farias de Oliveira, Kleinner Silva .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2017, 19 (01)
[44]   Opportunities and challenges in using real-world data for health care [J].
Rudrapatna, Vivek A. ;
Butte, Atul J. .
JOURNAL OF CLINICAL INVESTIGATION, 2020, 130 (02) :565-574
[45]   Deep learning [J].
Rusk, Nicole .
NATURE METHODS, 2016, 13 (01) :35-35
[46]   Associations of socioeconomic status with prevalence, awareness, treatment, and control of hypertension in a general Japanese population: NIPPON DATA2010 [J].
Satoh, Atsushi ;
Arima, Hisatomi ;
Ohkubo, Takayoshi ;
Nishi, Nobuo ;
Okuda, Nagako ;
Ae, Ryusuke ;
Inoue, Mariko ;
Kurita, Shuji ;
Murakami, Keiko ;
Kadota, Aya ;
Fujiyoshi, Akira ;
Sakata, Kiyomi ;
Okamura, Tomonori ;
Ueshima, Hirotsugu ;
Okayama, Akira ;
Miura, Katsuyuki .
JOURNAL OF HYPERTENSION, 2017, 35 (02) :401-408
[47]   Mobile Health Access and Use Among Individuals With or At Risk for Cardiovascular Disease: 2018 Health Information National Trends Survey (HINTS) [J].
Shan, Rongzi ;
Ding, Jie ;
Plante, Timothy B. ;
Martin, Seth S. .
JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2019, 8 (24)
[48]   Mastering the game of Go with deep neural networks and tree search [J].
Silver, David ;
Huang, Aja ;
Maddison, Chris J. ;
Guez, Arthur ;
Sifre, Laurent ;
van den Driessche, George ;
Schrittwieser, Julian ;
Antonoglou, Ioannis ;
Panneershelvam, Veda ;
Lanctot, Marc ;
Dieleman, Sander ;
Grewe, Dominik ;
Nham, John ;
Kalchbrenner, Nal ;
Sutskever, Ilya ;
Lillicrap, Timothy ;
Leach, Madeleine ;
Kavukcuoglu, Koray ;
Graepel, Thore ;
Hassabis, Demis .
NATURE, 2016, 529 (7587) :484-+
[49]   Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis [J].
Suchard, Marc A. ;
Schuemie, Martijn J. ;
Krumholz, Harlan M. ;
You, Seng Chan ;
Chen, RuiJun ;
Pratt, Nicole ;
Reich, Christian G. ;
Duke, Jon ;
Madigan, David ;
Hripcsak, George ;
Ryan, Patrick B. .
LANCET, 2019, 394 (10211) :1816-1826
[50]   Design of and rationale for the Japan Diabetes compREhensive database project based on an Advanced electronic Medical record System (J-DREAMS) [J].
Sugiyama T. ;
Miyo K. ;
Tsujimoto T. ;
Kominami R. ;
Ohtsu H. ;
Ohsugi M. ;
Waki K. ;
Noguchi T. ;
Ohe K. ;
Kadowaki T. ;
Kasuga M. ;
Ueki K. ;
Kajio H. .
Diabetology International, 2017, 8 (4) :375-382