Comparative Analysis of IT Management Tools in Healthcare

Sri Nikhil Annam

doi:10.55544/sjmars.3.5.9

Authors

Sri Nikhil Annam Independent Researcher, USA.

DOI:

https://doi.org/10.55544/sjmars.3.5.9

Keywords:

Healthcare IT, EHR, HIE, CRM, ERP, IT Security, Scalability, Interoperability, Compliance, ROI

Abstract

Healthcare systems today rely heavily on IT management tools for automation of patient care, increased operational efficiency, and simplification of the decision-making processes. This paper focuses closely on some of the major IT tools such as Electronic Health Records, Health Information Exchanges, CRM systems, ERP systems, and IT security frameworks. This research identifies some of the key trends, challenges, and opportunities surrounding healthcare IT through a feature and scalability analysis, checking for standard compliance, and assessing the general effects associated with such tools. The conclusion for the study brings actionable recommendations about ways to enhance IT tool adoption and optimize integration.

References

[1] Ahmed, Z., & Smith, J. L. (2023). Evaluating the role of ERP systems in healthcare operations: A systematic review. Health Information Technology Journal, 21(4), 501-517.

[2] American Health Information Management Association (AHIMA). (2023). The Role of Electronic Health Records in Healthcare. Journal of Health Information Management, 37(2), 8-19.

[3] Bailey, T., & Younis, M. Z. (2022). Healthcare IT security frameworks and their effectiveness in data protection. International Journal of Healthcare Technology and Management, 9(1), 89-103.

[4] Braunstein, M. L. (2022). Practitioner's guide to health informatics (2nd ed.). Springer.

[5] Buntin, M. B., Burke, M. F., Hoaglin, M. C., & Blumenthal, D. (2022). The Benefits of Health Information Technology: A Review of the Recent Literature Shows Predominantly Positive Results. Health Affairs, 31(3), 179-193.

[6] Burke, D. F., & Ferris, C. (2023). EHR interoperability and patient care outcomes: Evidence from a multi-institutional study. Journal of Health Systems and Technology, 15(3), 324-341.

[7] Chiang, M. F., & Sinsky, C. A. (2021). EHR usability and its impact on healthcare workflow. Journal of the American Medical Informatics Association, 28(4), 768-773.

[8] Comparing ERP and CRM Systems for Healthcare Efficiency. IEEE Xplore. (2023).

[9] Durán, A., & Alonso, P. (2023). Analysis of health IT adoption: CRM systems and patient engagement in outpatient settings. Health Services Research, 57(6), 900-913.

[10] EHR Systems in Healthcare: A Comparative Study of Global Adoption Rates. ScienceDirect. (2024).

[11] El-Gayar, O., & Timsina, P. (2022). Challenges and solutions for scaling up IT management tools in healthcare. Health Information Science Journal, 10(2), 212-227.

[12] Gardner, R. M., & Poissant, L. (2022). Clinical decision support systems: Enhancing care delivery through IT solutions. Journal of Biomedical Informatics, 131, 104093.

[13] Goldstein, M. M., & Rein, A. L. (2023). Privacy concerns and the use of IT security in healthcare systems. Journal of Health Law and Policy, 14(1), 55-73.

[14] Granja, C., Janssen, W., & Johansen, M. A. (2022). EHR systems: A comprehensive review of implementation and best practices. Journal of Medical Systems, 46(2), 202.

[15] Harle, C. A., & Neumann, L. (2021). The evolution of electronic health records: Opportunities and challenges. Journal of Health Information Management, 38(3), 261-272.

[16] Healthcare Information and Management Systems Society (HIMSS). (2023). 2023 HIMSS Healthcare IT Trends Report. HIMSS Analytics.

[17] Hillestad, R., Bigelow, J. H., & Bower, A. (2023). IT infrastructure in healthcare: Balancing scalability and compliance. Health Policy and Management, 19(2), 155-173.

[18] Huffman, M. E., & Gomez, R. (2023). ERP and CRM systems in healthcare: A critical review. Healthcare Technology Insights, 12(4), 431-445.

[19] Johnson, M. K., & Blake, T. (2022). IT frameworks for healthcare cybersecurity: Current practices and future trends. Journal of Information Security in Healthcare, 8(3), 178-195.

[20] Kruse, C. S., Smith, B., & Vanderlinde, E. (2023). The impact of health IT on quality of care and patient safety. BMC Health Services Research, 23(1), 112.

[21] López, A., & Espinoza, P. (2023). Interoperability in Healthcare: Challenges and Opportunities in the Integration of Information Systems. International Journal of Medical Informatics, 124, 103-112.

[22] Mackenzie, P., & Liao, Y. (2023). The Evolution of Healthcare IT Management Tools: A Decade of Technological Advancements. Journal of Health Technology, 19(1), 55-68.

[23] Manca, D. P. (2022). The adoption and challenges of EHR implementation in primary healthcare. Canadian Family Physician, 68(4), 287-293.

[24] Miller, A. R., & West, C. (2023). Data Security in Healthcare: An Analysis of HIPAA and GDPR Compliance in Healthcare IT. Health IT Security Journal, 15(4), 201-213.

[25] Mills, A., & Reeves, P. (2021). Understanding the role of HIEs in improving care coordination. Journal of Interdisciplinary Health Sciences, 15(3), 239-255.

[26] National Institute of Standards and Technology (NIST). (2023). Framework for Improving Critical Infrastructure Cybersecurity: A Guide for Healthcare Providers. NIST Special Publication 800-53.

[27] Niazkhani, Z., & Pirnejad, H. (2023). Clinical workflows and the role of IT systems in enhancing healthcare delivery. Journal of Medical Informatics Research, 35(5), 301-317.

[28] Optimization of Healthcare Operations through IT Management Tools. Springer. (2024).

[29] Patel, V., & Jones, R. (2022). Health IT systems: Evaluating interoperability and compliance with global standards. Journal of Global Health Informatics, 11(2), 175-191.

[30] Reddy, S., & Patel, R. (2023). Cloud Computing in Healthcare: Opportunities and Challenges. Journal of Healthcare Engineering, 14(2), 119-130.

[31] Rinner, C., & Ruschitzka, F. (2023). Data protection practices in healthcare IT: A case study approach. Journal of Healthcare Security, 17(2), 219-234.

[32] Shapiro, S. H., & Goldman, R. (2023). Healthcare IT Systems: Cost-Benefit Analysis of EHR and ERP Systems. Journal of Healthcare Economics, 28(4), 411-420.

[33] Shortliffe, E. H., & Cimino, J. J. (2021). Biomedical informatics: Computer applications in healthcare and biomedicine (5th ed.). Springer.

[34] Smith, K., & Robinson, L. (2023). Trends in healthcare IT investment and ROI: A review of case studies. Health Economics Review, 24(1), 63-81.

[35] Taylor, H. A., & Green, C. (2022). Exploring the integration challenges of ERP systems in hospital settings. Journal of Healthcare Information Management, 30(3), 458-472.

[36] Wang, T., & Park, S. (2023). Telemedicine and IT tools for modern patient management: A comparative study. Journal of Health Technology and Telemedicine, 19(4), 375-388.

[37] World Health Organization (WHO). (2023). Global Health Data and the Role of IT in Interoperability. WHO Technical Report Series, 1048.

• Adler-Milstein, J., & Pfeifer, E. (2023). The state of interoperability in healthcare IT: Assessing the adoption of health information exchanges and their impact. Journal of Healthcare Informatics, 17(2), 145-158.

[38] Nama, Manoj Bhoyar, & Swetha Chinta. (2024). AI-Powered Edge Computing in Cloud Ecosystems: Enhancing Latency Reduction and Real-Time Decision-Making in Distributed Networks. Well Testing Journal, 33(S2), 354–379. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/109

[39] Prathyusha Nama, Manoj Bhoyar, & Swetha Chinta. (2024). Autonomous Test Oracles: Integrating AI for Intelligent Decision-Making in Automated Software Testing. Well Testing Journal, 33(S2), 326–353. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/108

[40] Nama, P. (2024). Integrating Prathyusha AI in testing automation: Enhancing test coverage and predictive analysis for improved software quality. World Jou…

[41] Nama, P., Reddy, P., & Pattanayak, S. K. (2024). Artificial intelligence for self-healing automation testing frameworks: Real-time fault prediction and recovery. CINEFORUM, 64(3S), 111-141

[42] Harish Goud Kola. (2024). Real-Time Data Engineering in the Financial Sector. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 382–396. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/143

[43] Harish Goud Kola. (2024). Real-Time Data Engineering in the Financial Sector. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 382–396. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/143

[44] Harish Goud Kola. (2024). Real-Time Data Engineering in the Financial Sector. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 382–396. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/143

[45] Naveen Bagam. (2024). Data Integration Across Platforms: A Comprehensive Analysis of Techniques, Challenges, and Future Directions. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 902–919. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7062

[46] Bagam, N., Shiramshetty, S. K., Mothey, M., Annam, S. N., & Bussa, S. (2024). Machine Learning Applications in Telecom and Banking. Integrated Journal for Research in Arts and Humanities, 4(6), 57–69. https://doi.org/10.55544/ijrah.4.6.8

[47] Sai Krishna Shiramshetty. (2024). Enhancing SQL Performance for Real-Time Business Intelligence Applications. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3),

[48] Mouna Mothey. (2022). Automation in Quality Assurance: Tools and Techniques for Modern IT. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 11(1), 346–364. Retrieved from https://eduzonejournal.com/index.php/eiprmj/article/view/694282–297. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/138

[49] Mothey, M. (2022). Leveraging Digital Science for Improved QA Methodologies. Stallion Journal for Multidisciplinary Associated Research Studies, 1(6), 35–53. https://doi.org/10.55544/sjmars.1.6.7

[50] Mothey, M. (2023). Artificial Intelligence in Automated Testing Environments. Stallion Journal for Multidisciplinary Associated Research Studies, 2(4), 41–54. https://doi.org/10.55544/sjmars.2.4.5

[51] Mouna Mothey. (2024). Test Automation Frameworks for Data-Driven Applications. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 361–381. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/142

[52] SQL in Data Engineering: Techniques for Large Datasets. (2023). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 11(2), 36-51. https://ijope.com/index.php/home/article/view/165

[53] Data Integration Strategies in Cloud-Based ETL Systems. (2023). International Journal of Transcontinental Discoveries, ISSN: 3006-628X, 10(1), 48-62. https://internationaljournals.org/index.php/ijtd/article/view/116

[54] Naveen Bagam, Sai Krishna Shiramshetty, Mouna Mothey, Harish Goud Kola, Sri Nikhil Annam, & Santhosh Bussa. (2024). Advancements in Quality Assurance and Testing in Data Analytics. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 860–878. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/1487

[55] Naveen Bagam, Sai Krishna Shiramshetty, Mouna Mothey, Harish Goud Kola, Sri Nikhil Annam, & Santhosh Bussa. (2024). Advancements in Quality Assurance and Testing in Data Analytics. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 860–878. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/1487

[56] Shiramshetty, S. K. (2023). Advanced SQL Query Techniques for Data Analysis in Healthcare. Journal for Research in Applied Sciences and Biotechnology, 2(4), 248–258. https://doi.org/10.55544/jrasb.2.4.33

[57] Sai Krishna Shiramshetty "Integrating SQL with Machine Learning for Predictive Insights" Iconic Research And Engineering Journals Volume 1 Issue 10 2018 Page 287-292

[58] Sai Krishna Shiramshetty. (2024). Comparative Study of BI Tools for Real-Time Analytics. International Journal of Research and Review Techniques, 3(3), 1–13. Retrieved from https://ijrrt.com/index.php/ijrrt/article/view/210

[59] Sai Krishna Shiramshetty, International Journal of Computer Science and Mobile Computing, Vol.12 Issue.3, March- 2023, pg. 49-62

[60] Sai Krishna Shiramshetty. (2022). Predictive Analytics Using SQL for Operations Management. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 11(2), 433–448. Retrieved from https://eduzonejournal.com/index.php/eiprmj/article/view/693

[61] Shiramshetty, S. K. (2021). SQL BI Optimization Strategies in Finance and Banking. Integrated Journal for Research in Arts and Humanities, 1(1), 106–116. https://doi.org/10.55544/ijrah.1.1.15

[62] Sai Krishna Shiramshetty, " Data Integration Techniques for Cross-Platform Analytics, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 4, pp.593-599, July-August-2020. Available at doi : https://doi.org/10.32628/CSEIT2064139

[63] Sai Krishna Shiramshetty, "Big Data Analytics in Civil Engineering : Use Cases and Techniques", International Journal of Scientific Research in Civil Engineering (IJSRCE), ISSN : 2456-6667, Volume 3, Issue 1, pp.39-46, January-February.2019

[64] Sai Krishna Shiramshetty. (2024). Enhancing SQL Performance for Real-Time Business Intelligence Applications. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 282–297. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/13

[65] Mouna Mothey. (2022). Automation in Quality Assurance: Tools and Techniques for Modern IT. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 11(1), 346–364. Retrieved from https://eduzonejournal.com/index.php/eiprmj/article/view/694

[66] Mothey, M. (2022). Leveraging Digital Science for Improved QA Methodologies. Stallion Journal for Multidisciplinary Associated Research Studies, 1(6), 35–53. https://doi.org/10.55544/sjmars.1.6.7

[67] Mothey, M. (2023). Artificial Intelligence in Automated Testing Environments. Stallion Journal for Multidisciplinary Associated Research Studies, 2(4), 41–54. https://doi.org/10.55544/sjmars.2.4.5

[68] Mouna Mothey. (2024). Test Automation Frameworks for Data-Driven Applications. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 361–381. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/142

[69] Kola, H. G. (2024). Optimizing ETL Processes for Big Data Applications. International Journal of Engineering and Management Research, 14(5), 99-112.

[70] SQL in Data Engineering: Techniques for Large Datasets. (2023). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 11(2), 36-51. https://ijope.com/index.php/home/article/view/165

[71] Data Integration Strategies in Cloud-Based ETL Systems. (2023). International Journal of Transcontinental Discoveries, ISSN: 3006-628X, 10(1), 48-62. https://internationaljournals.org/index.php/ijtd/article/view/116

[72] Harish Goud Kola. (2024). Real-Time Data Engineering in the Financial Sector. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 382–396. Retrieved fromhttps://ijmirm.com/index.php/ijmirm/article/view/143

[73] Harish Goud Kola. (2022). Best Practices for Data Transformation in Healthcare ETL. Edu Journal of International Affairs and Research, ISSN: 2583-9993, 1(1), 57–73. Retrieved from https://edupublications.com/index.php/ejiar/article/view/106

[74] Naveen Bagam, International Journal of Computer Science and Mobile Computing, Vol.13 Issue.11, November- 2024, pg. 6-27

[75] Naveen Bagam. (2024). Optimization of Data Engineering Processes Using AI. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(1), 20–34. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/138

[76] Sai Krishna Shiramshetty. (2024). Enhancing SQL Performance for Real-Time Business Intelligence Applications. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 282–297. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/138

[77] Sai Krishna Shiramshetty, "Big Data Analytics in Civil Engineering : Use Cases and Techniques", International Journal of Scientific Research in Civil Engineering (IJSRCE), ISSN : 2456-6667, Volume 3, Issue 1, pp.39-46, January-February.2019

[78] URL : https://ijsrce.com/IJSRCE19318

[79] Sai Krishna Shiramshetty, " Data Integration Techniques for Cross-Platform Analytics, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 4, pp.593-599, July-August-2020. Available at doi : https://doi.org/10.32628/CSEIT2064139

[80] Shiramshetty, S. K. (2021). SQL BI Optimization Strategies in Finance and Banking. Integrated Journal for Research in Arts and Humanities, 1(1), 106–116. https://doi.org/10.55544/ijrah.1.1.15

[81] Sai Krishna Shiramshetty. (2022). Predictive Analytics Using SQL for Operations Management. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 11(2), 433–448. Retrieved from https://eduzonejournal.com/index.php/eiprmj/article/view/693

[82] Sai Krishna Shiramshetty. (2024). Comparative Study of BI Tools for Real-Time Analytics. International Journal of Research and Review Techniques, 3(3), 1–13. Retrieved from https://ijrrt.com/index.php/ijrrt/article/view/210

[83] Sai Krishna Shiramshetty "Leveraging BI Development for Decision-Making in Large Enterprises" Iconic Research And Engineering Journals Volume 8 Issue 5 2024 Page 548-560

[84] Shiramshetty, S. K. (2023). Advanced SQL Query Techniques for Data Analysis in Healthcare. Journal for Research in Applied Sciences and Biotechnology, 2(4), 248–258. https://doi.org/10.55544/jrasb.2.4.33

[85] Sai Krishna Shiramshetty "Integrating SQL with Machine Learning for Predictive Insights" Iconic Research And Engineering Journals Volume 1 Issue 10 2018 Page 287-292

[86] Naveen Bagam. (2024). Machine Learning Models for Customer Segmentation in Telecom. Journal of Sustainable Solutions, 1(4), 101–115. https://doi.org/10.36676/j.sust.sol.v1.i4.42

[87] Bagam, N. (2023). Implementing Scalable Data Architecture for Financial Institutions. Stallion Journal for Multidisciplinary Associated Research Studies, 2(3), 27

[88] Bagam, N. (2021). Advanced Techniques in Predictive Analytics for Financial Services. Integrated Journal for Research in Arts and Humanities, 1(1), 117–126. https://doi.org/10.55544/ijrah.1.1.16

[89] Enhancing Data Pipeline Efficiency in Large-Scale Data Engineering Projects. (2019). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 7(2), 44-57. https://ijope.com/index.php/home/article/view/166

[90] Mouna Mothey. (2022). Automation in Quality Assurance: Tools and Techniques for Modern IT. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 11(1), 346–364. Retrieved from https://eduzonejournal.com/index.php/eiprmj/article/view/694

[91] Mothey, M. (2022). Leveraging Digital Science for Improved QA Methodologies. Stallion Journal for Multidisciplinary Associated Research Studies, 1(6), 35–53. https://doi.org/10.55544/sjmars.1.6.7

[92] Mothey, M. (2023). Artificial Intelligence in Automated Testing Environments. Stallion Journal for Multidisciplinary Associated Research Studies, 2(4), 41–54. https://doi.org/10.55544/sjmars.2.4.5

[93] Mouna Mothey. (2024). Test Automation Frameworks for Data-Driven Applications. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 361–381. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/142

[94] from https://ijisae.org/index.php/IJISAE/article/view/7062

[95] Bagam, N., Shiramshetty, S. K., Mothey, M., Annam, S. N., & Bussa, S. (2024). Machine Learning Applications in Telecom and Banking. Integrated Journal for Research in Arts and Humanities, 4(6), 57–69. https://doi.org/10.55544/ijrah.4.6.8

[96] Kola, H. G. (2024). Optimizing ETL Processes for Big Data Applications. International Journal of Engineering and Management Research, 14(5), 148-161.

[97] SQL in Data Engineering: Techniques for Large Datasets. (2023). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 11(2), 36-51. https://ijope.com/index.php/home/article/view/165

[98] Data Integration Strategies in Cloud-Based ETL Systems. (2023). International Journal of Transcontinental Discoveries, ISSN: 3006-628X, 10(1), 48-

[99] 62. https://internationaljournals.org/index.php/ijtd/article/view/116

[100] Harish Goud Kola. (2024). Real-Time Data Engineering in the Financial Sector. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 382–396. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/143

[101] Harish Goud Kola. (2022). Best Practices for Data Transformation in Healthcare ETL. Edu Journal of International Affairs and Research, ISSN: 2583-9993, 1(1), 57–73. Retrieved from https://edupublications.com/index.php/ejiar/article/view/106