Illuminating the dark spaces of healthcare with ambient intelligence

被引:193
作者
Haque, Albert [1 ]
Milstein, Arnold [2 ]
Li Fei-Fei [1 ,3 ]
机构
[1] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA
[2] Stanford Univ, Sch Med, Clin Excellence Res Ctr, Stanford, CA 94305 USA
[3] Stanford Univ, Stanford Inst Human Ctr Artificial Intelligence, Stanford, CA 94305 USA
关键词
UNITED-STATES; GAIT ANALYSIS; ARTIFICIAL-INTELLIGENCE; SPEECH RECOGNITION; COMPUTER VISION; SURGICAL SKILL; FALL DETECTION; SENSOR SYSTEM; MENTAL-HEALTH; HAND HYGIENE;
D O I
10.1038/s41586-020-2669-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Advances in machine learning and contactless sensors have given rise to ambient intelligence-physical spaces that are sensitive and responsive to the presence of humans. Here we review how this technology could improve our understanding of the metaphorically dark, unobserved spaces of healthcare. In hospital spaces, early applications could soon enable more efficient clinical workflows and improved patient safety in intensive care units and operating rooms. In daily living spaces, ambient intelligence could prolong the independence of older individuals and improve the management of individuals with a chronic disease by understanding everyday behaviour. Similar to other technologies, transformation into clinical applications at scale must overcome challenges such as rigorous clinical validation, appropriate data privacy and model transparency. Thoughtful use of this technology would enable us to understand the complex interplay between the physical environment and health-critical human behaviours.
引用
收藏
页码:193 / 202
页数:10
相关论文
共 171 条
[1]  
Acampora G, 2013, P IEEE, V101, P2470, DOI 10.1109/JPROC.2013.2262913
[2]   Supporting the Health Care Workforce During the COVID-19 Global Epidemic [J].
Adams, James G. ;
Walls, Ron M. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2020, 323 (15) :1439-1440
[3]   Counting Matters: Lessons from the Root Cause Analysis of a Retained Surgical Item [J].
Agrawal, Abha .
JOINT COMMISSION JOURNAL ON QUALITY AND PATIENT SAFETY, 2012, 38 (12) :566-+
[4]   Surgical adverse events: a systematic review [J].
Anderson, Oliver ;
Davis, Rachel ;
Hanna, George B. ;
Vincent, Charles A. .
AMERICAN JOURNAL OF SURGERY, 2013, 206 (02) :253-262
[5]  
[Anonymous], 2017, CoRR
[6]  
[Anonymous], 2019, Hospital Admitted Patient Care Activity 2018-2019
[7]   The use of privacy-protected computer vision to measure the quality of healthcare worker hand hygiene [J].
Awwad, Sari ;
Tarvade, Sanjay ;
Piccardi, Massimo ;
Gattas, David J. .
INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, 2019, 31 (01) :36-42
[8]   Falls and Fall Injuries Among Adults Aged ≥65 Years - United States, 2014 [J].
Bergen, Gwen ;
Stevens, Mark R. ;
Burns, Elizabeth R. .
MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT, 2016, 65 (37) :993-998
[9]   Acoustic Gaits: Gait Analysis With Footstep Sounds [J].
Bin Altaf, M. Umair ;
Butko, Taras ;
Juang, Biing-Hwang .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2015, 62 (08) :2001-2011
[10]   Speech recognition for clinical documentation from 1990 to 2018: a systematic review [J].
Blackley, Suzanne V. ;
Huynh, Jessica ;
Wang, Liqin ;
Korach, Zfania ;
Zhou, Li .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2019, 26 (04) :324-338