Recent advances in system management, decision support systems, artificial intelligence and computing in anaesthesia

被引:7
作者
Gupta, Bhavna [1 ]
Sahay, Nishant [2 ]
Vinod, Krishnagopal [3 ]
Sandhu, Kirandeep [4 ]
Basireddy, Hariprasad Reddy [5 ]
Mudiganti, Rama Krishna Reddy [6 ]
机构
[1] All India Inst Med Sci, Dept Anaesthesiol, Rishikesh, Uttarakhand, India
[2] All India Inst Med Sci, Dept Anaesthesiol, Patna, Bihar, India
[3] Sree Balaji Med Coll & Hosp, Dept Anaesthesiol, Chennai, Tamil Nadu, India
[4] Wockhardt Hosp, Dept Anaesthesiol, Nasik, Maharashtra, India
[5] Narayana Med Coll, Dept Anaesthesiol, Nellore, Andhra Pradesh, India
[6] MediCiti Inst Med Sci, Dept Anaesthesiol, Hyderabad, Telangana, Pakistan
关键词
Artificial intelligence; machine learning; management information systems; supervised machine learning; unsupervised machine learning;
D O I
10.4103/ija.ija_974_22
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
Advances in artificial intelligence, telemedicine, block-chain technology and electronic medical records are paving the way for a new era in anaesthetic care through automation, non-invasive monitoring, system management and decision support systems. Their utility has been demonstrated in a variety of contexts in the peri-operative setting, including but not limited to, monitoring anaesthesia depth, maintaining drug infusion, predicting hypotension, critical incident evaluation, risk management strategies, antibiotic administration, haemodynamic monitoring, precise ultrasound-guided nerve blocks and a future where possibilities are entirely dependent on how we decide to embrace this progression. The main objective of this article is to provide up-to-date and valuable knowledge about the recent advances in anaesthesia technology during the past few years.
引用
收藏
页码:146 / 151
页数:6
相关论文
共 26 条
[1]   Electronic pre-anaesthetic checkups (E-PAC) and digital informed consent before elective procedures: Is it time to break the cliche? [J].
Ahluwalia, Pallavi ;
Gupta, Bhavna .
INDIAN JOURNAL OF ANAESTHESIA, 2021, 65 (12) :909-910
[2]  
Bajwa Sukhminder Jit Singh, 2014, Anesth Essays Res, V8, P117, DOI 10.4103/0259-1162.128930
[3]   Amalgamation of management information system into anaesthesiology practice: A boon for the modern anaesthesiologists [J].
Bajwa, Sukhminder Jit Singh .
INDIAN JOURNAL OF ANAESTHESIA, 2014, 58 (02) :121-126
[4]   MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery [J].
Bihorac, Azra ;
Ozrazgat-Baslanti, Tezcan ;
Ebadi, Ashkan ;
Motaei, Amir ;
Madkour, Mohcine ;
Pardalos, Panagote M. ;
Lipori, Gloria ;
Hogan, William R. ;
Efron, Philip A. ;
Moore, Frederick ;
Moldawer, Lyle L. ;
Wang, Daisy Zhe ;
Hobson, Charles E. ;
Rashidi, Parisi ;
Li, Xiaolin ;
Momcilovic, Petar .
ANNALS OF SURGERY, 2019, 269 (04) :652-662
[5]   Postoperative delirium prediction using machine learning models and preoperative electronic health record data [J].
Bishara, Andrew ;
Chiu, Catherine ;
Whitlock, Elizabeth L. ;
Douglas, Vanja C. ;
Lee, Sei ;
Butte, Atul J. ;
Leung, Jacqueline M. ;
Donovan, Anne L. .
BMC ANESTHESIOLOGY, 2022, 22 (01)
[6]   Opal: an implementation science tool for machine learning clinical decision support in anesthesia [J].
Bishara, Andrew ;
Wong, Andrew ;
Wang, Linshanshan ;
Chopra, Manu ;
Fan, Wudi ;
Lin, Alan ;
Fong, Nicholas ;
Palacharla, Aditya ;
Spinner, Jon ;
Armstrong, Rachelle ;
Pletcher, Mark J. ;
Lituiev, Dmytro ;
Hadley, Dexter ;
Butte, Atul .
JOURNAL OF CLINICAL MONITORING AND COMPUTING, 2022, 36 (05) :1367-1377
[7]  
Block F E Jr, 1985, J Clin Monit, V1, P30, DOI 10.1007/BF02832686
[8]  
Bowness J, 2021, ANAESTHESIA NEWS, V408, P4
[9]   Comparing clinical judgment with the MySurgeryRisk algorithm for preoperative risk assessment: A pilot usability study [J].
Brennan, Meghan ;
Puri, Sahil ;
Ozrazgat-Baslanti, Tezcan ;
Feng, Zheng ;
Ruppert, Matthew ;
Hashemighouchani, Haleh ;
Momcilovic, Petar ;
Li, Xiaolin ;
Wang, Daisy Zhe ;
Bihorac, Azra .
SURGERY, 2019, 165 (05) :1035-1045
[10]   Technical and clinical evaluation of a closed loop TIVA system with SEDLineTM spectral density monitoring: Multicentric prospective cohort study [J].
Castellanos Penaranda, Claudia ;
Casas Arroyave, Fabian D. ;
Gomez, Francisco J. ;
Pinzon Corredor, Paola A. ;
Fernandez, Juan M. ;
Velez Botero, Marcela ;
Bohorquez Bedoya, Juan D. ;
Marulanda Toro, Carlos .
PERIOPERATIVE MEDICINE, 2020, 9 (01)