Leveraging Digital Transformation and Business Analysis to Improve Healthcare Provider Portal

References

[1] Abouelmehdi, K., Beni-Hessane, A., & Khaloufi, H. (2018). Big healthcare data: preserving security and privacy. Journal of big data, 5(1), 1-18.

[2] Abraham, C., Chatterjee, D., & Sims, R. R. (2019). Muddling through cybersecurity: Insights from the US healthcare industry. Business horizons, 62(4), 539-548.

[3] Aceto, G., Persico, V., & Pescapé, A. (2020). Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration, 18, 100129.

[4] Agnes, N. (2011). Automated Hospital Management System.

[5] Ahmed, S. M., & Rajput, A. (2020). Threats to patients’ privacy in smart healthcare environment. In Innovation in Health Informatics (pp. 375-393): Elsevier.

[6] Amatayakul, M. (2012). Process improvement with electronic health records: a stepwise approach to workflow and process management: CRC Press.

[7] Argaw, S. T., Troncoso-Pastoriza, J. R., Lacey, D., Florin, M.-V., Calcavecchia, F., Anderson, D., . . . Eshaya-Chauvin, B. (2020). Cybersecurity of Hospitals: discussing the challenges and working towards mitigating the risks. BMC medical informatics and decision making, 20, 1-10.

[8] Awotunde, J. B., Jimoh, R. G., Folorunso, S. O., Adeniyi, E. A., Abiodun, K. M., & Banjo, O. O. (2021). Privacy and security concerns in IoT-based healthcare systems. In The fusion of internet of things, artificial intelligence, and cloud computing in health care (pp. 105-134): Springer.

[9] Bhavnani, S. P., Parakh, K., Atreja, A., Druz, R., Graham, G. N., Hayek, S. S., . . . Rumsfeld, J. S. (2017). 2017 Roadmap for innovation—ACC health policy statement on healthcare transformation in the era of digital health, big data, and precision health: a report of the American College of Cardiology Task Force on Health Policy Statements and Systems of Care. Journal of the American College of Cardiology, 70(21), 2696-2718.

[10] Brunetti, F., Matt, D. T., Bonfanti, A., De Longhi, A., Pedrini, G., & Orzes, G. (2020). Digital transformation challenges: strategies emerging from a multi-stakeholder approach. The TQM Journal, 32(4), 697-724.

[11] Castaneda, C., Nalley, K., Mannion, C., Bhattacharyya, P., Blake, P., Pecora, A., . . . Suh, K. S. (2015). Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine. Journal of clinical bioinformatics, 5, 1-16.

[12] De Ramon Fernandez, A., Ruiz Fernandez, D., & Sabuco Garcia, Y. (2020). Business Process Management for optimizing clinical processes: A systematic literature review. Health informatics journal, 26(2), 1305-1320.

[13] Di Gregorio, M. (2021). The Influence of User Interface Design on User Experience-Focus on Accessibility and Situation Awareness.

[14] Dupont, D., Beresniak, A., Sundgren, M., Schmidt, A., Ainsworth, J., Coorevits, P., . . . De Moor, G. (2017). Business analysis for a sustainable, multi-stakeholder ecosystem for leveraging the Electronic Health Records for Clinical Research (EHR4CR) platform in Europe. International journal of medical informatics, 97, 341-352.

[15] EETI, S., & RENUKA, A. (2021). Strategies for Migrating Data from Legacy Systems to the Cloud: Challenges and Solutions. TIJER (The International Journal of Engineering Research, 8(10), a1-a11.

[16] Frumento, E. (2019). Cybersecurity and the evolutions of healthcare: challenges and threats behind its evolution. M_Health current and future applications, 35-69.

[17] Gonzalez-Granadillo, G., Menesidou, S. A., Papamartzivanos, D., Romeu, R., Navarro-Llobet, D., Okoh, C., . . . Panaousis, E. (2021). Automated cyber and privacy risk management toolkit. Sensors, 21(16), 5493.

[18] Gopal, G., Suter-Crazzolara, C., Toldo, L., & Eberhardt, W. (2019). Digital transformation in healthcare–architectures of present and future information technologies. Clinical Chemistry and Laboratory Medicine (CCLM), 57(3), 328-335.

[19] Haggerty, E. (2017). Healthcare and digital transformation. Network Security, 2017(8), 7-11.

[20] Hassan, Y. G., Collins, A., Babatunde, G. O., Alabi, A. A., & Mustapha, S. D. (2021). AI-driven intrusion detection and threat modeling to prevent unauthorized access in smart manufacturing networks. Artificial intelligence (AI), 16.

[21] He, Z. (2016). Design, Implementation, and Evaluation of a User Training Program for Integrating Health Information Technology into Clinical Processes.

[22] Hermes, S., Riasanow, T., Clemons, E. K., Böhm, M., & Krcmar, H. (2020). The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients. Business Research, 13(3), 1033-1069.

[23] Jabarulla, M. Y., & Lee, H.-N. (2021). A blockchain and artificial intelligence-based, patient-centric healthcare system for combating the COVID-19 pandemic: Opportunities and applications. Paper presented at the Healthcare.

[24] Jacob, J. A. (2015). On the road to interoperability, public and private organizations work to connect health care data. Jama, 314(12), 1213-1215.

[25] Jeyakumar, T., Ambata-Villanueva, S., McClure, S., Henderson, C., & Wiljer, D. (2021). Best practices for the implementation and sustainment of virtual health information system training: qualitative study. JMIR Medical Education, 7(4), e30613.

[26] KOLLURI, V. (2016). REVOLUTIONIZING HEALTHCARE WITH AI: PERSONALIZED MEDICINE: PREDICTIVE.

[27] Kouroubali, A., & Katehakis, D. G. (2019). The new European interoperability framework as a facilitator of digital transformation for citizen empowerment. Journal of biomedical informatics, 94, 103166.

[28] Kraus, S., Schiavone, F., Pluzhnikova, A., & Invernizzi, A. C. (2021). Digital transformation in healthcare: Analyzing the current state-of-research. Journal of Business Research, 123, 557-567.

[29] Lehne, M., Sass, J., Essenwanger, A., Schepers, J., & Thun, S. (2019). Why digital medicine depends on interoperability. NPJ digital medicine, 2(1), 79.

[30] Lewis, J. R., & Sauro, J. (2021). Usability and user experience: Design and evaluation. Handbook of human factors and ergonomics, 972-1015.

[31] Litwin, A. S. (2021). Technological change and frontline care delivery work: Toward the quadruple aim. In The Contributions of Health Care Management to Grand Health Care Challenges (pp. 99-142): Emerald Publishing Limited.

[32] Lourdusamy, R., & Mattam, X. J. (2020). Clinical decision support systems and predictive analytics. Machine Learning with Health Care Perspective: Machine Learning and Healthcare, 317-355.

[33] Lukas, C. V., Holmes, S. K., Cohen, A. B., Restuccia, J., Cramer, I. E., Shwartz, M., & Charns, M. P. (2007). Transformational change in health care systems: an organizational model. Health care management review, 32(4), 309-320.

[34] Lysaght, T., Lim, H. Y., Xafis, V., & Ngiam, K. Y. (2019). AI-assisted decision-making in healthcare: the application of an ethics framework for big data in health and research. Asian Bioethics Review, 11, 299-314.

[35] Mbunge, E., Muchemwa, B., & Batani, J. (2021). Sensors and healthcare 5.0: transformative shift in virtual care through emerging digital health technologies. Global Health Journal, 5(4), 169-177.

[36] McGinnis, J. M., Powers, B., & Grossmann, C. (2011). Digital infrastructure for the learning health system: the foundation for continuous improvement in health and health care: workshop series summary.

[37] Mulukuntla, S., & VENKATA, S. P. (2020). Digital Transformation in Healthcare: Assessing the Impact on Patient Care and Safety. EPH-International Journal of Medical and Health Science, 6(3), 27-33.

[38] Ntantogian, C., Laoudias, C., Honrubia, A. J. D., Veroni, E., & Xenakis, C. (2021). Cybersecurity threats in the healthcare domain and technical solutions. In Handbook of Computational Neurodegeneration (pp. 1-29): Springer.

[39] Organization, W. H. (2020). Digital health platform handbook: building a digital information infrastructure (infostructure) for health.

[40] Ostern, N., Perscheid, G., Reelitz, C., & Moormann, J. (2021). Keeping pace with the healthcare transformation: a literature review and research agenda for a new decade of health information systems research. Electronic markets, 31, 901-921.

[41] Paul, P. O., Abbey, A. B. N., Onukwulu, E. C., Agho, M. O., & Louis, N. (2021). Integrating procurement strategies for infectious disease control: Best practices from global programs. prevention, 7, 9.

[42] Rajabion, L., Shaltooki, A. A., Taghikhah, M., Ghasemi, A., & Badfar, A. (2019). Healthcare big data processing mechanisms: The role of cloud computing. International Journal of Information Management, 49, 271-289.

[43] Reis, Z. S. N., Maia, T. A., Marcolino, M. S., Becerra-Posada, F., Novillo-Ortiz, D., & Ribeiro, A. L. P. (2017). Is there evidence of cost benefits of electronic medical records, standards, or interoperability in hospital information systems? Overview of systematic reviews. JMIR medical informatics, 5(3), e7400.

[44] Ritonummi, S. (2020). User experience on an ecommerce website: A case study.

[45] Roy, M., & Jamwal, M. (2020). An overview of artificial intelligence (AI) intervention in Indian healthcare system. International Journal of Science and Research (IJSR), 9(8), 1226-1230.

[46] Saffady, W. (2020). Managing information risks: threats, vulnerabilities, and responses: Rowman & Littlefield Publishers.

[47] Savino, J. A., & Latifi, R. (2019). The hospital of the future: Evidence-Based, data-driven. The Modern Hospital: Patients Centered, Disease Based, Research Oriented, Technology Driven, 375-387.

[48] Scheuerlein, H., Rauchfuss, F., Dittmar, Y., Molle, R., Lehmann, T., Pienkos, N., & Settmacher, U. (2012). New methods for clinical pathways—business process modeling notation (BPMN) and tangible business process modeling (t. BPM). Langenbeck's archives of surgery, 397, 755-761.

[49] Sivan, R., & Zukarnain, Z. A. (2021). Security and privacy in cloud-based e-health system. Symmetry, 13(5), 742.

[50] Swarnakar, V., Singh, A., & Tiwari, A. K. (2021). Evaluating the effect of critical failure factors associated with sustainable Lean Six Sigma framework implementation in healthcare organization. International Journal of Quality & Reliability Management, 38(5), 1149-1177.

[51] Thapa, C., & Camtepe, S. (2021). Precision health data: Requirements, challenges and existing techniques for data security and privacy. Computers in biology and medicine, 129, 104130.

[52] Torres, A. (2019). Using Technology-Driven Patient Communication Appointment Reminders to Improve Uniform Data System Measures in a Federally Qualified Health Center.

[53] Tresp, V., Overhage, J. M., Bundschus, M., Rabizadeh, S., Fasching, P. A., & Yu, S. (2016). Going digital: a survey on digitalization and large-scale data analytics in healthcare. Proceedings of the IEEE, 104(11), 2180-2206.

[54] Yapar, O. (2021). Blockchain-Based Database Management for National Security: Ensuring data integrity and privacy.

@article{1707210,
      author = {Charles Ibe Okolie, Oladimeji Hamza, Adeoluwa Eweje, Anuoluwapo Collins, Gideon Opeyemi Babatunde},
      title = {Leveraging Digital Transformation and Business Analysis to Improve Healthcare Provider Portal},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {4},
      number = {10},
      pages = {253-268},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707210.pdf},
      abstract = {The digital transformation of provider portals has emerged as a critical initiative in modern healthcare, enhancing care coordination, administrative efficiency, and patient engagement. This paper explores the challenges, optimization strategies, and future directions of provider portal implementation, focusing on interoperability, predictive analytics, automation, and user experience. Key barriers include data security concerns, integration complexities, change management issues, and cost constraints. Best practices such as workflow enhancements, AI-driven decision support, and blockchain for secure transactions are examined to address these challenges. Policy and regulatory recommendations highlight the need for standardized data exchange frameworks, strengthened cybersecurity measures, and financial incentives for healthcare organizations adopting digital solutions. A strategic roadmap is proposed to guide institutions through assessment, implementation, and continuous improvement. Future research should explore explainable AI models, decentralized security frameworks, and the long-term impact of digital transformation on patient outcomes. By addressing these considerations, healthcare organizations can optimize provider portals for a more efficient, secure, and patient-centered digital ecosystem.},
      keywords = {Digital transformation, Provider portals, Predictive analytics, Healthcare interoperability, AI-driven decision support, Blockchain security},
      month = {April},
  }