Antidiabetic Potential of Emodin in Streptozotocin-Induced Type-2 Diabetic Rats Evaluating the security and privacy of pharmacy-based electronic health records
DOI:
https://doi.org/10.52783/jns.v14.1573Keywords:
Health, security, implementationAbstract
The phrase "cloud computing" refers to a new technology that allows users to store data remotely. Data privacy, data sharing, and keyword searching in encrypted data are the main problems with cloud computing that cloud users face. Effective data exchange and privacy protection are lacking in the current cloud platform solutions. Additionally, it is necessary to increase the effectiveness of different techniques with the present technical audits. However, it results in issues with traceability and freshness of data while maintaining privacy. Privacy-Preserving Data Mining (PPDM) is a new field with privacy concerns and a lot of fresh work being done. The Cloud is the most cutting-edge technology available in the digital world for storing enormous amounts of Internet data. One of the real-time outsourcing strategies for storing Internet data on the cloud is cloud computing. The cloud is where a vast amount of Internet data can be gathered. Data access is possible anywhere, at any time, and with minimal effort and unreal resources (e.g., different apps, software systems, hardware systems, and progressive operating environments). The operational settings and applications are modified and redesigned based on the type of data, allowing for the optimal use of the environment and verifying a variable burden. While reliability depends on the service provided by the flexible service level approach, implementation is dependent on the surrounding environment and other pertinent competencies.
Downloads
Metrics
References
Rodriguez R, Staley B, Hatton RC. Evaluating incorporation of drug restrictions into computerized drug order entries after transition to an electronic health record. Hospital Pharmacy. 2013 Jul;48(7):568-73. https://doi.org/10.1310/hpj4807-568
Clement M. Challenges and Opportunities in Pharmacy-Based Test-and-Treat Models for Infectious Diseases: A Framework for Future Implementation.
Hemalatha RK, Mani TT. Usage of Electronic Resources in Science Subjects by the Madras University Library System. Indian Journal of Information Sources and Services. 2019;9(1):35-9. https://doi.org/10.51983/ijiss.2019.9.1.598
Rivera DR, Gokhale MN, Reynolds MW, Andrews EB, Chun D, Haynes K, Jonsson‐Funk ML, Lynch KE, Lund JL, Strongman H, Bhullar H. Linking electronic health data in pharmacoepidemiology: appropriateness and feasibility. Pharmacoepidemiology and drug safety. 2020 Jan;29(1):18-29. https://doi.org/10.1002/pds.4918
Handri EY, Sensuse DI, Lusa S. Examining Cybersecurity Culture: Trends and Success Factors. Journal of Internet Services and Information Security. 2024 Aug;14(3):330-52. https://doi.org/10.58346/JISIS.2024.I3.020
Hughes CA, Guirguis LM, Wong T, Ng K, Ing L, Fisher K. Influence of pharmacy practice on community pharmacists' integration of medication and lab value information from electronic health records. Journal of the American Pharmacists Association. 2011 Sep 1;51(5):591-8. https://doi.org/10.1331/JAPhA.2011.10085
Babu GJ, Baskar M. Location Aware DFS Scheduling Based Improved Quality of Service Maximization with IoT Devices in Cloud. https://doi.org/10.58346/JOWUA.2023.I1.003
Finn A, Bondarenka C, Edwards K, Hartwell R, Letton C, Perez A. Evaluation of electronic health record implementation on pharmacist interventions related to oral chemotherapy management. Journal of Oncology Pharmacy Practice. 2017 Dec;23(8):563-74. https://doi.org/10.1177/1078155216665247
Kumar S. Exploring Pharmaist Challenges with Pubmed Studies with Relational Prescribing. Clinical Journal for Medicine, Health and Pharmacy. 2024 Sep 30;2(3):11-20.
Zhong J, Mao Z, Li H, Masuda Y, Toma T. Regulated digital pharmacy based on electronic health record to improve prescription services. InInnovation in Medicine and Healthcare: Proceedings of 9th KES-InMed 2021 2021 (pp. 155-170). Springer Singapore. https://doi.org/10.1007/978-981-16-3013-2_13
Saranya N, Geetha K, Rajan C. An Optimized Data Replication Algorithm in Mobile Edge Computing Systems to Reduce Latency in Internet of Things. InInternational Conference on Hybrid Intelligent Systems 2021 Dec 14 (pp. 76-87). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-96305-7_8
Veronin M. Enhancing personal health record adoption through the community pharmacy network: a service project. INNOVATIONS in pharmacy. 2015 Jan 1;6(4). https://doi.org/10.24926/iip.v6i4.403
McDonough RP, Fish H, Satterfield J, Roberts K, Clifton CL, Doucette WR. Determining essential elements and functionalities for a patient record system in community pharmacy. Journal of the American Pharmacists Association. 2024 Mar 1;64(2):499-505. https://doi.org/10.1016/j.japh.2023.10.033
Bharath KCP, Udayakumar R, Chaya J, Mohanraj B, Vimal VR. An efficient intrusion detection solution for cloud computing environments using integrated machine learning methodologies. J Wirel Mob Netw Ubiquitous Comput Dependable Appl. 2024;15(2):14-26. https://doi.org/10.58346/JOWUA.2024.I2.002
Alfian SD, Insani WN, Puspitasari IM, Wawruch M, Abdulah R. Effectiveness and process evaluation of using digital health technologies in pharmaceutical care in low-and middle-income countries: A systematic review of quantitative and qualitative studies. Telemedicine and e-Health. 2023 Sep 1;29(9):1289-303. https://doi.org/10.1089/tmj.2022.0406
Krauss ZJ, Abraham M, Coby J. Clinical pharmacy services enhanced by electronic health record (EHR) access: An innovation narrative. Pharmacy. 2022 Dec 5;10(6):170. https://doi.org/10.3390/pharmacy10060170.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
