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Analysis of Cloud-Based Solutions on EHRs Systems in Different Scenarios

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Abstract

Nowadays with the growing of the wireless connections people can access all the resources hosted in the Cloud almost everywhere. In this context, organisms can take advantage of this fact, in terms of e-Health, deploying Cloud-based solutions on e-Health services. In this paper two Cloud-based solutions for different scenarios of Electronic Health Records (EHRs) management system are proposed. We have researched articles published between the years 2005 and 2011 about the implementation of e-Health services based on the Cloud in Medline. In order to analyze the best scenario for the deployment of Cloud Computing two solutions for a large Hospital and a network of Primary Care Health centers have been studied. Economic estimation of the cost of the implementation for both scenarios has been done via the Amazon calculator tool. As a result of this analysis two solutions are suggested depending on the scenario: To deploy a Cloud solution for a large Hospital a typical Cloud solution in which are hired just the needed services has been assumed. On the other hand to work with several Primary Care Centers it’s suggested the implementation of a network, which interconnects these centers with just one Cloud environment. Finally it’s considered the fact of deploying a hybrid solution: in which EHRs with images will be hosted in the Hospital or Primary Care Centers and the rest of them will be migrated to the Cloud.

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References

  1. Hillestad, R., Bigelow, J., Bower, A., Girosi, F., Meili, R., Scoville, R., and Taylor, R., Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Heal. Aff. 24:1103–1117, 2005.

    Article  Google Scholar 

  2. Blanchet, K. D., Electronic health records: Are consumers riding or driving the car? Telemed. E-health 14:210–214, 2008.

    Article  Google Scholar 

  3. Yellowlees, P. M., Marks, L. S., Hogarth, M., and Turner, S., Standards-based, open-source electronic health record systems: A desirable future for the U.S. Health Industry. Telemed. E-health 14:284–288, 2008.

    Article  Google Scholar 

  4. Hargreaves, J., Will electronic personal health records benefit providers and patients in Rural America? Telemed. E-health 16:167–176, 2010.

    Article  Google Scholar 

  5. Chen, Y. Y., Lu, J. C., and Jan, J. K., A secure EHR system based on hybrid clouds. J. Med. Syst., 2012. doi:10.1007/s10916-012-9830-6.

  6. Furth, B., Escalante, A., Handbook of cloud computing 1st Edition. Springer, 2010.

  7. Low, C., and Chen, Y. H., Criteria for the evaluation of a Cloud-Based Hospital Information System Outsourcing Provider. J. Med. Syst., 2012. doi:10.1007/s10916-012-9829-z.

  8. Poulymenopoulou, M., Malamateniou, F., and Vassilacopoulos, G., Emergency healthcare process automation using mobile computing and cloud services. J. Med. Syst., 2011. doi:10.1007/s10916-011-9814-y.

  9. Coles-Kemp, L., Reddington, J., and Williams, P. A. H., Looking at clouds from both sides: The advantages and disadvantages of placing personal narratives in the cloud. Inf. Secur. Tech. Rep. 16:115–122, 2011.

    Article  Google Scholar 

  10. Bosch-Andersen, L., Hospital uses Cloud Computing to improve patient care and reduce costs 2011. Retrieved January 15, 2011, from http://www.microsoft.eu/cloud-computing/case-studies/hospital-uses-cloud-computing-to-improve-patient-care-and-reduce-costs-c16m1l.aspx.

  11. Pandey, S., Voorsluys, W., Niu, S., Khandoker, A., and Buyya, R., An autonomic cloud environment for hosting ECG data analysis services. Futur. Gener. Comput. Syst. 28:147–154, 2011.

    Article  Google Scholar 

  12. Piette, J. D., Mendoza-Avelares, M. O., Ganser, M., Muhima, M., Marinec, N., and Krishnan, S., A preliminary study of a cloud-computing model for chronic illness self-care support in an underdeveloped country. Am. J. Prev. Med. 40:629–632, 2011.

    Article  Google Scholar 

  13. Bosch-Andersen, L., Cloud Computing makes personal health data accessible from home, 2011. Retrieved January 12, 2011, from http://www.microsoft.eu/cloud-computing/case-studies/cloud-computing-makes-personal-health-data-accessible-from-home.aspx.

  14. Amazon Web Services Calculator. Retrieved January 11, 2011, from http://calculator.s3.amazonaws.com/calc5.html.

  15. De la Torre, I., Díaz, F. J., Antón, M., Díez, J. F., Sainz, B., López, M., Hornero, R., and López, M. I., Choosing the most efficient database for a Web-based system to store and exchange Ophthalmologic Health Records. J. Med. Syst. 35:1455–1464, 2011.

    Article  Google Scholar 

  16. De la Torre-Díez, I., Díaz-Pernas, F. J., López-Coronado, M., Hornero-Sánchez, R., López-Gálvez, M. I., and Antón-Rodríguez, M., Response time estimation of a Web-based Electronic Health Record (EHR) system using queuing model. Int. J. E-Health Med. Commun. 1:66–78, 2010.

    Article  Google Scholar 

  17. Elastic Compute Cloud (Amazon EC2). Retrieved January 12, 2011, from http://aws.amazon.com/es/ec2.

  18. Elastic Block Store (Amazon EBS). Retrieved January 12, 2011, from http://aws.amazon.com/es/ebs.

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Acknowledgements

This work has been partially supported by the Instituto de Telecomunicações, Next Generation Networks and Applications Group (NetGNA), Portugal, by National Funding from the FCT – Fundação para a Ciência e a Tecnologia through thePEst-OE/EEI/LA0008/2011 Project.

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No competing financial interests exist.

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Authors and Affiliations

  1. Department of Signal Theory and Communications, University of Valladolid, Paseo de Belén, 15, 47011, Valladolid, Spain

    Gonzalo Fernández-Cardeñosa, Isabel de la Torre-Díez & Miguel López-Coronado

  2. Instituto de Telecomunicações, University of Beira Interior, Rua Marquês d’Ávila e Bolama, 6201-001, Covilhã, Portugal

    Joel J. P. C. Rodrigues

Authors
  1. Gonzalo Fernández-Cardeñosa
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  2. Isabel de la Torre-Díez
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  3. Miguel López-Coronado
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  4. Joel J. P. C. Rodrigues
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Corresponding author

Correspondence to Isabel de la Torre-Díez.

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Fernández-Cardeñosa, G., de la Torre-Díez, I., López-Coronado, M. et al. Analysis of Cloud-Based Solutions on EHRs Systems in Different Scenarios. J Med Syst 36, 3777–3782 (2012). https://doi.org/10.1007/s10916-012-9850-2

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