Abstract
Although the exploration of smart healthcare is in its preliminary stage, some of the smart healthcare system components are already being introduced into real-life scenarios, such as intelligent hospital guidance, healthcare information sharing within hospital chains, etc. As time passes, many intelligent models and systems can get into the hospitals, for instance, non-contact mental and physical health screening, healthcare data exchange, ICU mortality prediction, clinic diagnosis support system, etc. Through the increasing applications of smart healthcare, it could be concluded that future hospitals fully equipped with such tools are “intelligent hospitals”.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bejnordi BE, Veta M, Van Diest PJ, Van Ginneken B, Karssemeijer N, Litjens G, Van Der Laak JA, Hermsen M, Manson QF, Balkenhol M, Geessink O (2017) Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer. J Ame Med Assoc 318(22):2199–2210
Bayoumy K, Gaber M, Elshafeey A, Mhaimeed O, Dineen EH, Marvel FA et al (2021) Smart wearable devices in cardiovascular care: where we are and how to move forward. Nat Rev Cardiol 18:581–599
Cildoz M, Mallor F, Mateo PM (2021) A GRASP-based algorithm for solving the emergency room physician scheduling problem. Appl Soft Comput 103:107151
Chen KC, Yu HR, Chen WS, Lin WC, Lee YC, Chen HH, Jiang JH, Su TY, Tsai CK, Tsai TA, Tsai CM (2020) Diagnosis of common pulmonary diseases in children by X-ray images and deep learning. Sci Rep 10(1):1–9
Cross KP, Petry MJ, Cicero MX (2015) A better START for low-acuity victims: data-driven refinement of mass casualty triage. Prehosp Emerg Care 19(2):272–278
Da Rosa RR, Andrioli L, Rodrigues VF, Da Costa CA, Alberti AM, Singh D (2019) Elastic-RAN: an adaptable multi-level elasticity model for cloud radio access networks. Comput Commun 142:34–47
Duerr-Specht M, Goebel R, Holzinger A (2015) Medicine and health care as a data problem: will computers become better medical doctors? In: Holzinger A, Roecker C, Ziefle M (eds) Smart health. Springer, Heidelberg. (LNCS, 8700:21-39)
Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639):115–118
Hanafy WA, Mohamed AE, Salem SA (2019) A New infrastructure elasticity control algorithm for containerized cloud. IEEE Access 7:39731–39741
Iqbal H, Tatti F, y Baena FR (2021) Augmented reality in robotic assisted orthopaedic surgery: a pilot study. J Biomed Inf 120:103841
Jiang S, Shi H, Lin WL, Liu HC (2020) A large group linguistic Z-DEMATEL approach for identifying key performance indicators in hospital performance management. Appl Soft Comput 86:105900
Lerner EB, McKee CH, Cady CE, Cone DC, Colella MR, Cooper A, Coule PL, Lairet JR, Liu JM, Pirrallo RG, Sasser SM (2015) A consensus-based gold standard for the evaluation of mass casualty triage systems. Prehospital Emerg Care 19(2):267–271
Mathers CD, Stevens GA, Boerma T, White RA, Tobias MI (2015) Causes of international increases in older age life expectancy. Lancet 385(9967):540–548
Nabelsi V, Gagnon S (2017) Information technology strategy for a patient-oriented, lean, and agile integration of hospital pharmacy and medical equipment supply chains. Int J Prod Res 55(14):3929–3945
Rostirolla G, Da Rosa RR, Barbosa JLV, Da Costa CA (2017) ElCity: an elastic multilevel energy saving model for smart cities. IEEE Trans Sustain Comput 3:30–43
Schoenfelder J, Bretthauer KM, Wright PD,Coe (2020) Nurse scheduling with quick-response methods: Improving hospital performance, nurse workload, and patient experience. Euro J Oper Res 283(1):390–403
Son LH, Ciaramella A, Thu Huyen DT, Staiano A, Tuan TM, Van Hai P (2020) Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. Neural Comput Appl 32(18):15237–15248
Srinivas J, Das AK, Kumar N, Rodrigues J (2018) Cloud centric authentication for wearable healthcare monitoring system. IEEE Trans Dependable Secure Comput 1
Volland J, Fügener A, Brunner JO (2017) A column generation approach for the integrated shift and task scheduling problem of logistics assistants in hospitals. Euro J Oper Res 260(1):316–334
World Health Organization (2021). www.who.int/zh/data
Xu M, Buyya R (2019) Brownout approach for adaptive management of resources and applications in cloud computing systems: a taxonomy and future directions. ACM Comput Surv 52:8
Zhang HB, Li JP, Wen B, Xun YJ, Liu JJ (2018) Connecting intelligent things in smart hospitals using nb-iot. IEEE Internet of Things J 5(3):1550–1560
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Ding, S., Wu, D., Zhao, L., Li, X. (2022). Intelligent Hospital Operation Management and Risk Control. In: Smart Healthcare Engineering Management and Risk Analytics. AI for Risks. Springer, Singapore. https://doi.org/10.1007/978-981-19-2560-3_11
Download citation
DOI: https://doi.org/10.1007/978-981-19-2560-3_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-2559-7
Online ISBN: 978-981-19-2560-3
eBook Packages: Business and ManagementBusiness and Management (R0)