Review Study On Computational Healthcare Systems And Sustainability Goals

Dr. LOVA BALIJI

Abstract


Sustainability goals usually refer to money saved, energy conserved, waste diverted, water recycled, or any other easily understood metric. But a clear connection between sustainability and a hospital’s mission, in an understandable language and with a factual basis, rarely occurs. The connection between sustainability and mission must extend to effective management of the healthcare environment, social interaction between patient and healthcare provider, community-based healthcare approaches, and the utilization of current technology. The mission must have measurable goals and objectives that support sustainability, and the ability of the health system to thrive in its ecological, social, and economic environment. This paper gives a review study on healthcare systems and sustainability goals.


Keywords


Medical Industry; Complexity; Diversity; Timeliness; Healthcare Systems; Sustainability; Scalability;

References


Doyle-Lindrud S. The evolution of the electronic health record. Clin J Oncol Nurs. 2015;19(2):153–4.

Friston K, et al. Statistical parametric mapping. London: Academic Press; 2007. p. vii.

G.-H. Kim, S. Trimi, and J.-H. Chung, “Big-data applications inthe government sector, ”Communications of the ACM, vol.57, no. 3, pp. 78–85, 2014.

Gillum RF. From papyrus to the electronic tablet: a brief history of the clinical medical record with lessons for the digital Age. Am J Med. 2013;126(10):853–7.

Gopalani S, Arora R. Comparing Apache Spark and Map Reduce with performance analysis using K-means; 2015.

Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing. Available https://www.researchgate.net/publication/326181205_Intelligent_Healthcare_Systems_Assisted_by_Data_Analytics_and_Mobile_Computing

J. P. McGlothlin and L. Khan, “Managing evolving code sets andinte- gration of multiple data sources in health care analytics, ”inProceedings of the in Proceedings of the 2013 internationalworkshop on Data management analytics for healthcare, p.14, 2013.

K. Lee, T. T. H. Wan, and H. Kwon, “The relationship betweenhealthcare information system and cost in hospital, ”Personaland Ubiquitous Computing, vol.17, no.7, pp.1395–1400, 2013.

Laney D. 3D data management: controlling data volume, velocity, and variety, Application delivery strategies. Stamford: META Group Inc; 2001.

Li L, et al. Identification of type 2 diabetes subgroups through topological analysis of patient similarity. Sci Transl Med. 2015;7(311):311ra174.

M. Chen, “NDNC-BAN: supporting rich media healthcareservices via named data networking in cloud-assisted wirelessbody area networks, ”Information Sciences, vol.284, no.10, pp.142–156, 2014.

M. Chen, S. Mao, and Y. Liu, “Big data: A survey, ”MobileNetworks and Applications, vol.19, no.2, pp.171–209, 2014.

M. M. Rathore, A. Paul, A. Ahmad, M. Anisetti, and G.Jeon, “Hadoop-Based Intelligent Care System (HICS), ”ACMTransactions on Internet Technology (TOIT), vol.18, no.1, pp.1–24, 2017.

M.Chen, Y.Ma, Y.Li, D.Wu, Y.Zhang, andC.-H.Youn, “Wearable 2.0: Enabling Human-Cloud Integration in NextGeneration Healthcare Systems, ”IEEE Communications Maga-zine, vol. 55, no. 1, pp. 54–61, 2017.

M.I.Pramanik, R.Y.K.Lau, H.Demirkan, andM.A.K.Azad, “Smart health: Big data enabled health paradigm within smartcities, ”Expert Systems with Applications, vol.87, pp.370–383, 2017.

M.M.Hassan, K.Lin, X.Yue, andJ.Wan, “Amultimediahealthcare data sharing approach through cloud-based bodyarea network, ”Future Generation Computer Systems, vol.66, pp.48–58, 2017.

Moore SK. Unhooking medicine [wireless networking]. IEEE Spectr 2001; 38(1): 107–8, 110.

Murphy G, Hanken MA, Waters K. Electronic health records: changing the vision. Philadelphia: Saunders W B Co; 1999. p. 627.

Nasi G, Cucciniello M, Guerrazzi C. The role of mobile technologies in health care processes: the case of cancer supportive care. J Med Internet Res. 2015;17(2):e26.

P.-L.Wu, W.Kang, A.Al-Nayeem, L.Sha, R.B.BerlinJr., andJ. M. Goldman, “A low complexity coordination architecturefor networked supervisory medical systems, ” inProceedings ofthe 4th ACM/IEEE International Conference on Cyber-PhysicalSystems, ICCPS 2013, pp.89–98, usa, April2013.

P.-Y.Wu, C.-W.Cheng, C.D.Kaddi, J.Venugopalan, R.Hoff-man, and M. D. Wang, “-Omic and Electronic Health RecordBig Data Analytics for Precision Medicine, ”IEEE TransactionsonBiomedical Engineering, vol. 64, no. 2, pp. 263–273, 2017.

Shvachko K, et al. The hadoop distributed file system. In: Proceedings of the 2010 IEEE 26th symposium on mass storage systems and technologies (MSST). New York: IEEE Computer Society; 2010. p. 1–10.


Full Text: PDF

Refbacks

  • There are currently no refbacks.




Copyright © 2012 - 2023, All rights reserved.| ijitr.com

Creative Commons License
International Journal of Innovative Technology and Research is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJITR , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.