EMERGING SCOPE OF MEDICAL LABORATORIES SYSTEMS USING CLOUD COMPUTING FROM END-USER PERSPECTIVE

Öz

In today’s world the rapid and reliable information extraction has become everybody’s need. Cloud computing is one of the emerging technology solutions to answer this query. This technology is providing many opportunities to the users in different terms to produce rapid and cost effective solution. This study helps in understanding the scope of the cloud computing as a solution in the field of medical laboratory systems. A study has been conducted to determine the need of the services required by the users in medical laboratory system. The preference recorded during the study by the participants are recorded and analyzed to replace traditional medical laboratory system. A cloud based model has been discussed to transfer and contain patient’s data using a web based cloud hosted application. This expert system will ensure the data handling in different defined classes using decision trees. A cell phone key based user verification technique shall be discussed for data sharing among doctors and the hospital for further consultation by the user.

Keywords: Medical Laboratory System, Cloud Computing, Expert Systems, Decision Trees.

Kaynakça

1. Adane W., M. D. & Abebe M. (2013). Processing medical data: a systematic review. 1-7. Beauvisage T. (2009). Computer Usage in Daily Life.
2. Bharat P. B.& K. B. P. (2012). Cloud Computing Support for Enhanced Health Applications. International Journal of Engineering and Innovative Technology, Vol. 2, 139-141.
3. Espadanal M. & Oliveira T. (2012). Cloud computing adoption by firms Paper presented at the Mediterranean Conference on Information Systems 2012 Proceedings.
4. Giessmann A. & K. S. S. (2013). What are Developers’ Preferences on Platform as a Service? An Empirical Investigation. Paper presented at the 2013 46th Hawaii International Conference on System Sciences.
5. Giessmann A., K. S. S. (2012). Business Models of Platform as a Service (PaaS) Providers-Current State and Future Directions. Journal of Information Technology Theory and Applications, 13(04), pp. 31-55.
6. Güner E.O. & S. E. (2014). Cloud Computing Adoption Factors in Turkish Large Entreprises. Paper presented at the Pacific Asia Conference on Information Systems.
7. Hillestad R., B. J., Bower A., Girosi A., Meili R., Scoville R., & Taylor R. (2016). Can Electronic Medical Record Systems Transform Health Care? Potential Health Benefits, Savings, And Costs. At the Intersection of Health, Health Care and Policy, 1103-1117. doi: 10.1377/hlthaff.24.5.1103
8. Ibraimi L., A. M., Petkovic M. & Research P. (2009). Secure Management of Personal Health Records by Applying Attribute-Based Encryption. Paper presented at the Wearable Micro and Nano Technologies for Personalized Health (pHealth), 2009 6th International, Oslo.

9. Jia W., Z. H., Cao Z., Wei L. & Lin X. (2011). SDSM: A Secure Data Service Mechanism in Mobile Cloud Computing. Paper presented at the First International Workshop on Security in Computers, Networking and Communications.
10. Kanchanaraksa S. (2008). Evaluation of Diagnostic and Screening Tests: Validity and Reliability.
11. Kaur M., S. R. (2013). Implementing Encryption Algorithms to Enhance DataSecurity of Cloud in Cloud Computing. International Journal of Computer Applications, Vol. 70(18, May 2013), 0975-8887. doi: 10.5120/12167-8127.
12. Khana A.N., K. M. L., Khanb S.U., Madani S. A. (2013). Towards secure mobile cloud computing- A survey. Future Generation Computer Systems, 29, 1278-1299. doi: 10.1016/j.future.2012.08.003.
13. Li M, S. Y., Ren K., Lou W. (2010). Securing Personal Health Records in Cloud Computing: Patient-Centric and Fine-Grained Data Access Control in Multi-owner Settings. Paper presented at the Social Informatics and Telecommunications Engineering 2010, USA.
14. Louk M., L. H., Lee H. J. (2014). Security System for Healthcare Data in Cloud Computing. International Journal of Security and Its Applications, Vol.8, No.3 (2014), 241-248.
15. Mathew S. (2013). Cloud Computing: A New Foundation Towards Health Care. 03(02), 118-121.
16. Memon A. A., N. M. R., Tahir M., Aamir M., Wagan A.A. (2014). A New Cloud Computing Solution for Government Hospitals to Better Access Patients’ Medical Information. American Journal of Systems and Software, Vol. 2, 56-59. doi: 10.12691/ajss-2-3-1.
17. Karthikeyan N., R. S. (2012). Cloud Based Emergency Health Care Information Service in India.
18. Riedl B., N. T., Goluch G. (2007). A secure architecture for the pseudonymization of medical data. Paper presented at the Second International Conference on Availability, Reliability and Security, ARES.
19. Rolim C., K. F., Westphall C., Werner J., Fracalossi A, Salvador G. (2010). A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions. Paper presented at the International Conference on Telemedicine and Social Medicine on eHealth.
20. Shafiq M., I. M & Rafi Z. (2014). To What Extent System Usability Effects User Satisfaction: A Case Study of Smart Phone Features Analysis for Learning of Novice.
21. Shafiq M., J.-G. C., Faheem M., Ashraf I.,. (2011). Skill Specific Spoken Dialogues Based Personalized ATM Desing to Maximize Effective Interaction four Viually Impaired Persona. Paper presented at the Springer-Verlag Berlin Heidelberg 2011.
22. Thilakanathan D., C. S., Nepal S. and Calvo R.A. (2014). Secure Data Sharing in the Cloud. Paper presented at the Springer-Verlag Berlin Heidelberg 2014.
23. William R., H. (1995). The Electronic Medical Record: Promises and Problems Journal of the American Society fo Information Science, pg: 772-776.
24. Zhang R., L. L. (2010). Security Models and Requirements for Healthcare Application Clouds. Paper presented at the IEEE 3rd International Conference on Cloud Computing, Miami.