Integrating Public Health Data and Hospital Records: A Model for Community-Based Health Impact Assessments
DOI:
https://doi.org/10.32628/IJSRCEKeywords:
Public health integration, hospital records, health impact assessments, data interoperability, population healthAbstract
Effective community-based health impact assessments (HIAs) require a robust integration of public health data with hospital records to provide actionable insights into population health trends and healthcare resource utilization. As the demand for data-driven public health decision-making increases, so does the need for interoperable models that facilitate seamless data exchange across institutional boundaries. This paper proposes a comprehensive model that bridges public health surveillance systems with hospital electronic health records (EHRs), leveraging data integration tools, predictive analytics, and geospatial mapping to inform community-level health planning. The model was evaluated using a multi-case study approach in three regional health districts, with data sources including immunization records, emergency department visits, and chronic disease registries. Results demonstrate enhanced capacity for identifying high-risk populations, predicting outbreak patterns, and optimizing resource deployment. The findings support the strategic utility of cross-sectoral data integration for advancing equitable and responsive healthcare delivery systems.
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Adelaide Yeboah Forkuo, Nura Ikhalea, Ernest Chinonso Chianumba, Ashiata Yetunde Mustapha, “Reviewing the Impact of AI in Improving Patient Outcomes through Precision Medicine.” [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=pZekPIgAAAAJ&pagesize=80&citation_for_view=pZekPIgAAAAJ:MXK_kJrjxJIC
J. S. Kahn, V. Aulakh, and A. Bosworth, “What It Takes: Characteristics Of The Ideal Personal Health Record,” Health Aff. (Millwood), vol. 28, no. 2, pp. 369–376, Mar. 2009, doi: 10.1377/hlthaff.28.2.369.
E. Afrihyia, O. Omotayo, A. Yetunde Mustapha, O. Oluwanifemi Akomolafe, A. Yeboah Forkuo, and E. Chinonso Chianumba, “Data Analytics in U.S. Public Health Policy: A Review of Applications in Healthcare Resource Allocation and Efficiency,” Int. J. Adv. Multidiscip. Res. Stud., vol. 4, no. 6, pp. 2253–2260, Dec. 2024, doi: 10.62225/2583049X.2024.4.6.4295.
C. Dinh-Le, R. Chuang, S. Chokshi, and D. Mann, “Wearable health technology and electronic health record integration: scoping review and future directions,” JMIR MHealth UHealth, vol. 7, no. 9, p. e12861, 2019.
Akachukwu Obianuju Mbata 1* et al., “Preventative Medicine and Chronic Disease Management: Reducing Healthcare Costs and Improving Long-Term Public Health.” [Online]. Available: https://www.researchgate.net/profile/Olakunle-Soyege/publication/390694904_Preventative_Medicine_and_Chronic_Disease_Management_Reducing_Healthcare_Costs_and_Improving_Long-Term_Public_Health/links/67fb28eadf0e3f544f4102e5/Preventative-Medicine-and-Chronic-Disease-Management-Reducing-Healthcare-Costs-and-Improving-Long-Term-Public-Health.pdf
J. A. Casey, B. S. Schwartz, W. F. Stewart, and N. E. Adler, “Using Electronic Health Records for Population Health Research: A Review of Methods and Applications,” Annu. Rev. Public Health, vol. 37, no. 1, pp. 61–81, Mar. 2016, doi: 10.1146/annurev-publhealth-032315-021353.
O. O. Akomolafe, A. Y. Forkuo, O. Omotayo, E. Chinonso, A. Y. Mustapha, and E. Afrihyia, “Data-Driven Approaches to Optimize Long-Term Care for Aging Populations: A Review of Predictive Analytics”.
G. S. Birkhead, M. Klompas, and N. R. Shah, “Uses of Electronic Health Records for Public Health Surveillance to Advance Public Health,” Annu. Rev. Public Health, vol. 36, no. 1, pp. 345–359, Mar. 2015, doi: 10.1146/annurev-publhealth-031914-122747.
O. O. Akomolafe, T. Olorunsogo, E. C. Anyanwu, F. Osasona, J. O. Ogugua, and O. H. Daraojimba, “Air quality and public health: A review of urban pollution sources and mitigation measures,” Eng. Sci. Technol. J., vol. 5, no. 2, pp. 259–271, 2024.
G. J. Musa et al., “Use of GIS Mapping as a Public Health Tool–-From Cholera to Cancer,” Health Serv. Insights, vol. 6, p. HSI.S10471, Jan. 2013, doi: 10.4137/HSI.S10471.
O. O. Akomolafe, O. Omotayo, A. Y. Forkuo, E. Chinonso, A. Y. Mustapha, and E. Afrihyia, “Health Data Analytics for Aging Populations: Improving Quality of Life and Access to Care”.
S.-T. Liaw et al., “Towards an ontology for data quality in integrated chronic disease management: a realist review of the literature,” Int. J. Med. Inf., vol. 82, no. 1, pp. 10–24, 2013.
E. C. Anyanwu, F. Osasona, O. O. Akomolafe, J. O. Ogugua, T. Olorunsogo, and E. R. Daraojimba, “Biomedical engineering advances: A review of innovations in healthcare and patient outcomes,” Int. J. Sci. Res. Arch., vol. 11, no. 1, pp. 870–882, 2024.
J. Walker, E. Pan, D. Johnston, J. Adler-Milstein, D. W. Bates, and B. Middleton, “The Value Of Health Care Information Exchange And Interoperability: There is a business case to be made for spending money on a fully standardized nationwide system.,” Health Aff. (Millwood), vol. 24, no. Suppl1, pp. W5-10-W5-18, Jan. 2005, doi: 10.1377/hlthaff.W5.10.
A. Atadoga, O. A. Elufioye, T. T. Omaghomi, O. Akomolafe, I. P. Odilibe, and O. R. Owolabi, “Blockchain in healthcare: A comprehensive review of applications and security concerns,” Int. J. Sci. Res. Arch., vol. 11, no. 1, pp. 1605–1613, 2024.
C. S. Kruse, A. Stein, H. Thomas, and H. Kaur, “The use of Electronic Health Records to Support Population Health: A Systematic Review of the Literature,” J. Med. Syst., vol. 42, no. 11, p. 214, Nov. 2018, doi: 10.1007/s10916-018-1075-6.
O. D. Balogun et al., “Enhancing Operational Efficiency in Healthcare: The Role of Advanced Data Analytics,” Int. J. Pharma Growth Res. Rev., vol. 1, no. 6, pp. 33–40, 2024.
A. Abernethy et al., “The promise of digital health: then, now, and the future,” NAM Perspect., vol. 2022, pp. 10–31478, 2022.
O. D. Balogun et al., “Patient-Centered Care Models: A Review of Their Influence on Healthcare Management Practices,” J. Front. Multidiscip. Res., vol. 5, no. 2, pp. 28–35, 2024.
A. Kouroubali and D. G. Katehakis, “The new European interoperability framework as a facilitator of digital transformation for citizen empowerment,” J. Biomed. Inform., vol. 94, p. 103166, 2019.
E. C. Chianumba, N. Ikhalea, A. Y. Mustapha, A. Y. Forkuo, and D. Osamika, “Evaluating the Impact of Telemedicine, AI, and Data Sharing on Public Health Outcomes and Healthcare Access”.
P. C. Tang and D. Lansky, “The Missing Link: Bridging The Patient–Provider Health Information Gap,” Health Aff. (Millwood), vol. 24, no. 5, pp. 1290–1295, Sep. 2005, doi: 10.1377/hlthaff.24.5.1290.
Damilola Osamika, Adelaide Yeboah Forkuo, Ashiata Yetunde Mustapha, Ernest Chinonso Chianumba, Leesi Saturday Komi, “Systematic Review of Global Best Practices in Multinational Public Health Program Implementation and Impact Assessment.” [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=pZekPIgAAAAJ&pagesize=80&citation_for_view=pZekPIgAAAAJ:blknAaTinKkC
L. T. Martin et al., “The Issues of Interoperability and Data Connectedness for Public Health,” Big Data, vol. 10, no. S1, pp. S19–S24, Sep. 2022, doi: 10.1089/big.2022.0207.
A. I. Daraojimba, D. Bihani, G. O. Osho, J. O. Omisola, C. Ubamadu, and E. A. Etukudoh, “Decentralized Autonomous Organizations (DAOs): A Conceptual Model for Community-Owned Banking and Financial Governance”.
J. T. Kelly, K. L. Campbell, E. Gong, and P. Scuffham, “The Internet of Things: Impact and implications for health care delivery,” J. Med. Internet Res., vol. 22, no. 11, p. e20135, 2020.
Q. E. Enahoro, J. O. Ogugua, E. C. Anyanwu, O. Akomolafe, I. P. Odilibe, and A. I. Daraojimba, “The impact of electronic health records on healthcare delivery and patient outcomes: A review,” World J. Adv. Res. Rev., vol. 21, no. 2, pp. 451–460, 2024.
A. D. Black et al., “The impact of eHealth on the quality and safety of health care: a systematic overview,” PLoS Med., vol. 8, no. 1, p. e1000387, 2011.
Ernest Chinonso Chianumba, Adelaide Yeboah Forkuo, Ashiata Yetunde Mustapha, Damilola Osamika, Leesi Saturday Komi, “Advances in Preventive Care Delivery through WhatsApp, SMS, and IVR Messaging in High-Need Populations.” [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=pZekPIgAAAAJ&pagesize=80&citation_for_view=pZekPIgAAAAJ:hMod-77fHWUC
M. Chen, X. Tan, and R. Padman, “Social determinants of health in electronic health records and their impact on analysis and risk prediction: a systematic review,” J. Am. Med. Inform. Assoc., vol. 27, no. 11, pp. 1764–1773, 2020.
Ernest Chinonso Chianumba, Nura Ikhalea, Ashiata Yetunde Mustapha, Adelaide Yeboah Forkuo, “A Conceptual Model for Using Machine Learning to Enhance Radiology Diagnostics.” [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=pZekPIgAAAAJ&pagesize=80&citation_for_view=pZekPIgAAAAJ:kNdYIx-mwKoC
B. H. De Mello et al., “Semantic interoperability in health records standards: a systematic literature review,” Health Technol., vol. 12, no. 2, pp. 255–272, Mar. 2022, doi: 10.1007/s12553-022-00639-w.
T. H. Payne et al., “Report of the AMIA EHR-2020 Task Force on the status and future direction of EHRs,” J. Am. Med. Inform. Assoc., vol. 22, no. 5, pp. 1102–1110, 2015.
Ernest Chinonso Chianumba, Nura Ikhalea, Ashiata Yetunde Mustapha, Adelaide Yeboah Forkuo, Damilola Osamika, “Enhancing Corporate Governance and Pharmaceutical Services through Data Analytics and Regulatory Compliance.” [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=pZekPIgAAAAJ&pagesize=80&citation_for_view=pZekPIgAAAAJ:QIV2ME_5wuYC
R. Kukafka et al., “Redesigning electronic health record systems to support public health,” J. Biomed. Inform., vol. 40, no. 4, pp. 398–409, 2007.
Evangel Chinyere Anyanwu, Jeremiah Olawumi Arowoogun, Ifeoma Pamela Odilibe, Opeoluwa Akomolafe, Chinyere Onwumere, and Jane Osareme Ogugua, “The role of biotechnology in healthcare: A review of global trends,” World J. Adv. Res. Rev., vol. 21, no. 1, pp. 2740–2752, Jan. 2024, doi: 10.30574/wjarr.2024.21.1.0382.
A. Y. FORKUO, S. V. GBARABA, A. YETUNDE, B. O. T. MUSTAPHA, and A. O. MBATA, “Preparedness and Response: Lessons Learned from Radiological Emergencies in Healthcare Settings,” 2025, [Online]. Available: https://www.researchgate.net/profile/Adelaide-Forkuo/publication/389983225_Preparedness_and_Response_Lessons_Learned_from_Radiological_Emergencies_in_Healthcare_Settings/links/67dafbc735f7044c9233be8b/Preparedness-and-Response-Lessons-Learned-from-Radiological-Emergencies-in-Healthcare-Settings.pdf
B. E. Dixon, “Public Health: Interoperability Applications to Support Population Health,” in Nursing Informatics, U. H. Hübner, G. Mustata Wilson, T. S. Morawski, and M. J. Ball, Eds., in Health Informatics. , Cham: Springer International Publishing, 2022, pp. 339–354. doi: 10.1007/978-3-030-91237-6_23.
A. Y. Forkuo, A. Y. Mustapha, A. O. Mbata, B. O. Tomoh, M. C. Kelvin-Agwu, and T. O. Kolawole, “The Role of Mental Health Integration in Primary Healthcare: A Policy and Implementation Framework,” 2024, [Online]. Available: https://www.researchgate.net/profile/Adelaide-Forkuo/publication/390331550_The_Role_of_Mental_Health_Integration_in_Primary_Healthcare_A_Policy_and_Implementation_Framework/links/67eaaeee76d4923a1ae95da7/The-Role-of-Mental-Health-Integration-in-Primary-Healthcare-A-Policy-and-Implementation-Framework.pdf
K. DeSalvo et al., “Public health COVID-19 impact assessment: lessons learned and compelling needs,” NAM Perspect., vol. 2021, pp. 10–31478, 2021.
A. Y. Forkuo, T. V. Nihi, O. O. Ojo, C. N. Nwokedi, and O. S. Soyege, “A conceptual model for geospatial analytics in disease surveillance and epidemiological forecasting.” 1831.
D. W. Bates, “Physicians And Ambulatory Electronic Health Records,” Health Aff. (Millwood), vol. 24, no. 5, pp. 1180–1189, Sep. 2005, doi: 10.1377/hlthaff.24.5.1180.
B. O. T. S. V. Gbaraba, A. Y. Mustapha, A. O. Mbata, and A. Y. Forkuo, “Nanocarriers for Targeted Drug Delivery in Cancer Therapy: Innovations and Challenges”.
V. L. Tiase et al., “Patient-generated health data and electronic health record integration: a scoping review,” JAMIA Open, vol. 3, no. 4, pp. 619–627, 2020.
S. V. GBARABA, A. Y. MUSTAPHA, B. OLAMIDE, A. O. TOMOH, and A. Y. FORKUO, “Smart Drug Delivery Systems: The Future of Precision Medicine,” IRE J., vol. 8, no. 9, pp. 821–829, 2025.
V. Ehrenstein, H. Kharrazi, H. Lehmann, and C. O. Taylor, “Obtaining data from electronic health records,” in Tools and technologies for registry interoperability, registries for evaluating patient outcomes: A user’s guide, 3rd edition, Addendum 2 [Internet], Agency for Healthcare Research and Quality (US), 2019. [Online]. Available: https://www.ncbi.nlm.nih.gov/books/NBK551878/
S. V. Gbaraba, A. Y. Mustapha, B. O. Tomoh, A. O. Mbata, and A. Y. Forkuo, “SMART WEARABLE DEVICES FOR HEALTH MONITORING: A FOCUS ON RURAL HEALTHCARE,” Multidiscip. J. Eng. Technol. Sci., vol. 2, no. 1, 2025, [Online]. Available: https://academiconlinejournals.com/index.php/MJETS/article/view/297
P. B. Jensen, L. J. Jensen, and S. Brunak, “Mining electronic health records: towards better research applications and clinical care,” Nat. Rev. Genet., vol. 13, no. 6, pp. 395–405, 2012.
Jane Osareme Ogugua, Chinyere Onwumere, Jeremiah Olawumi Arowoogun, Evangel Chinyere Anyanwu, Ifeoma Pamela Odilibe, and Opeoluwa Akomolafe, “Data science in public health: A review of predictive analytics for disease control in the USA and Africa,” World J. Adv. Res. Rev., vol. 21, no. 1, pp. 2753–2769, Jan. 2024, doi: 10.30574/wjarr.2024.21.1.0383.
V. Mhasawade, Y. Zhao, and R. Chunara, “Machine learning and algorithmic fairness in public and population health,” Nat. Mach. Intell., vol. 3, no. 8, pp. 659–666, 2021.
Jeremiah Olawumi Arowoogun, Jane Osareme Ogugua, Ifeoma Pamela Odilibe, Chinyere Onwumere, Evangel Chinyere Anyanwu, and Opeoluwa Akomolafe, “COVID-19 vaccine distribution: A review of strategies in Africa and the USA,” World J. Adv. Res. Rev., vol. 21, no. 1, pp. 2729–2739, Jan. 2024, doi: 10.30574/wjarr.2024.21.1.0381.
A. Sheikh, H. S. Sood, and D. W. Bates, “Leveraging health information technology to achieve the ‘triple aim’ of healthcare reform,” J. Am. Med. Inform. Assoc., vol. 22, no. 4, pp. 849–856, 2015.
M. C. Kelvin-Agwu, M. O. Adelodun, G. T. Igwama, and E. C. Anyanwu, “Strategies for optimizing the management of medical equipment in large healthcare institutions,” Strategies, vol. 20, no. 9, pp. 162–170, 2024.
D. J. Brailer, “Interoperability: The Key To The Future Health Care System: Interoperability will bind together a wide network of real-time, life-critical data that not only transform but become health care.,” Health Aff. (Millwood), vol. 24, no. Suppl1, pp. W5-19-W5-21, Jan. 2005, doi: 10.1377/hlthaff.W5.19.
M. C. Kelvin-Agwu, M. O. Adelodun, G. T. Igwama, and E. C. Anyanwu, “The Impact of Regular Maintenance on the Longevity and Performance of Radiology Equipment,” 2024, [Online]. Available: https://www.researchgate.net/profile/Mojeed-Adelodun/publication/384638056_The_Impact_of_Regular_Maintenance_on_the_Longevity_and_Performance_of_Radiology_Equipment/links/6700ad91b753fa724d59657d/The-Impact-of-Regular-Maintenance-on-the-Longevity-and-Performance-of-Radiology-Equipment.pdf
A. Torab-Miandoab, T. Samad-Soltani, A. Jodati, and P. Rezaei-Hachesu, “Interoperability of heterogeneous health information systems: a systematic literature review,” BMC Med. Inform. Decis. Mak., vol. 23, no. 1, p. 18, Jan. 2023, doi: 10.1186/s12911-023-02115-5.
M. C. Kelvin-Agwu, M. O. Adelodun, G. T. Igwama, and E. C. Anyanwu, “The role of biomedical engineers in enhancing patient care through efficient equipment management,” Int. J. Front. Med. Surg. Res., vol. 6, no. 1, pp. 11–18, 2024.
O. Iroju, A. Soriyan, I. Gambo, and J. Olaleke, “Interoperability in healthcare: benefits, challenges and resolutions,” Int. J. Innov. Appl. Stud., vol. 3, no. 1, pp. 262–270, 2013.
M. C. Kelvin-Agwu, M. O. Adelodun, G. T. Igwama, and E. C. Anyanwu, “Advancements in biomedical device implants: A comprehensive review of current technologies,” Int J Front Med Surg Res, vol. 6, pp. 19–28, 2024.
L. Gottlieb, R. Tobey, J. Cantor, D. Hessler, and N. E. Adler, “Integrating Social And Medical Data To Improve Population Health: Opportunities And Barriers,” Health Aff. (Millwood), vol. 35, no. 11, pp. 2116–2123, Nov. 2016, doi: 10.1377/hlthaff.2016.0723.
M. C. Kelvin-Agwu, M. O. Adelodun, G. T. Igwama, and E. C. Anyanwu, “Innovative approaches to the maintenance and repair of biomedical devices in resource-limited settings,” 2024, [Online]. Available: https://www.researchgate.net/profile/Mojeed-Adelodun/publication/384636158_Innovative_approaches_to_the_maintenance_and_repair_of_biomedical_devices_in_resource-limited_settings/links/6700a0309e6e82486f013421/Innovative-approaches-to-the-maintenance-and-repair-of-biomedical-devices-in-resource-limited-settings.pdf
M. N. Cantor and L. Thorpe, “Integrating Data On Social Determinants Of Health Into Electronic Health Records,” Health Aff. (Millwood), vol. 37, no. 4, pp. 585–590, Apr. 2018, doi: 10.1377/hlthaff.2017.1252.
M. C. Kelvin-Agwu, M. O. Adelodun, G. T. Igwama, and E. C. Anyanwu, “Integrating biomedical engineering with open-source telehealth platforms: enhancing remote patient monitoring in global healthcare systems,” Int. Med. Sci. Res. J., vol. 4, no. 9, 2024, [Online]. Available: https://shibata.yubetsu.com/article/yVh7xPK4
D. Detmer, M. Bloomrosen, B. Raymond, and P. Tang, “Integrated Personal Health Records: Transformative Tools for Consumer-Centric Care,” BMC Med. Inform. Decis. Mak., vol. 8, no. 1, p. 45, Dec. 2008, doi: 10.1186/1472-6947-8-45.
M. C. Kelvin-Agwu, A. Y. Mustapha, A. O. Mbata, B. O. Tomoh, and A. Y. Forkuo, “Development of Smart Insulin Delivery Systems for Improving Diabetes Management in Public Health,” Development, vol. 9, no. 3, pp. 19–32, 2025.
R. Lobb and G. A. Colditz, “Implementation Science and Its Application to Population Health,” Annu. Rev. Public Health, vol. 34, no. 1, pp. 235–251, Mar. 2013, doi: 10.1146/annurev-publhealth-031912-114444.
M. C. Kelvin-Agwu, B. O. Tomoh, and A. Y. Forkuo, “Examining Epidemic Spread with Wearable Health Sensors Data,” sensors, vol. 9, no. 3, pp. 33–44, 2025.
M. Mateo-Abad et al., “Impact assessment of an innovative integrated care model for older complex patients with multimorbidity: the CareWell project,” Int. J. Integr. Care, vol. 20, no. 2, p. 8, 2020.
M. C. Kelvin-Agwu, B. O. Tomoh, and A. Y. Forkuo, “Modeling a Low-Cost, Portable Hemodialysis Device for Underserved Communities,” 2025, [Online]. Available: https://www.multidisciplinaryfrontiers.com/uploads/archives/20250326185341_FMR-2025-1-022.1.pdf
T. O. Kolawole, A. Y. Mustapha, A. O. Mbata, B. Olamide, A. Y. F. Tomoh, and M. C. Kelvin-Agwu, “A Systematic Review of Predictive Analytics Applications in Early Disease Detection and Diagnosis,” 2025, [Online]. Available: https://www.researchgate.net/profile/Adelaide-Forkuo/publication/390312337_A_Systematic_Review_of_Predictive_Analytics_Applications_in_Early_Disease_Detection_and_Diagnosis/links/67e9219776d4923a1ae2f23a/A-Systematic-Review-of-Predictive-Analytics-Applications-in-Early-Disease-Detection-and-Diagnosis.pdf
G. F. Anderson, B. K. Frogner, R. A. Johns, and U. E. Reinhardt, “Health Care Spending And Use Of Information Technology In OECD Countries,” Health Aff. (Millwood), vol. 25, no. 3, pp. 819–831, May 2006, doi: 10.1377/hlthaff.25.3.819.
L. S. Komi, A. Y. Mustapha, A. Y. Forkuo, and D. Osamika, “Community-Based Health Promotion Models for Cardiovascular Disease Prevention: A Conceptual and Evidence-Based Review,” 2024, [Online]. Available: https://www.researchgate.net/profile/Leesi-Komi/publication/391471430_Community-Based_Health_Promotion_Models_for_Cardiovascular_Disease_Prevention_A_Conceptual_and_Evidence-Based_Review/links/681a4ae4bd3f1930dd6d1c50/Community-Based-Health-Promotion-Models-for-Cardiovascular-Disease-Prevention-A-Conceptual-and-Evidence-Based-Review.pdf
K. A. Wager, F. W. Lee, and J. P. Glaser, Health care information systems: a practical approach for health care management. John Wiley & Sons, 2021.
L. S. Komi, A. Y. Mustapha, A. Y. Forkuo, and D. Osamika, “Analyzing Health Disparities through Epidemiological Data: A Conceptual Framework for Evidence-Based Solutions,” 2025, [Online]. Available: https://www.researchgate.net/profile/Leesi-Komi/publication/391109904_Analyzing_Health_Disparities_through_Epidemiological_Data_A_Conceptual_Framework_for_Evidence-Based_Solutions/links/680a8fc9bfbe974b23b9de3c/Analyzing-Health-Disparities-through-Epidemiological-Data-A-Conceptual-Framework-for-Evidence-Based-Solutions.pdf
V. Saini, S. G. Reddy, D. Kumar, and T. Ahmad, “Evaluating FHIR’s impact on Health Data Interoperability,” IoT Edge Comp J, vol. 1, no. 1, pp. 28–63, 2021.
L. S. Komi, A. Y. Mustapha, A. Y. Forkuo, and D. Osamika, “Reviewing Pharmacovigilance Strategies Using Real-World Data for Drug Safety Monitoring and Management,” 2025, [Online]. Available: https://www.researchgate.net/profile/Leesi-Komi/publication/391109906_Reviewing_Pharmacovigilance_Strategies_Using_Real-World_Data_for_Drug_Safety_Monitoring_and_Management/links/680a907aded4331557396d6c/Reviewing-Pharmacovigilance-Strategies-Using-Real-World-Data-for-Drug-Safety-Monitoring-and-Management.pdf
I. Iyamu et al., “Defining digital public health and the role of digitization, digitalization, and digital transformation: scoping review,” JMIR Public Health Surveill., vol. 7, no. 11, p. e30399, 2021.
Leesi Saturday Komi, Ashiata Yetunde Mustapha, Adelaide Yeboah Forkuo, Damilola Osamika, “A Conceptual Analysis of Mental Health Screening Implementation in Primary Healthcare Settings.” [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=pZekPIgAAAAJ&pagesize=80&citation_for_view=pZekPIgAAAAJ:e5wmG9Sq2KIC
A. Folasole, “Data analytics and predictive modelling approaches for identifying emerging zoonotic infectious diseases: surveillance techniques, prediction accuracy, and public health implications,” Int J Eng Technol Res Manag, vol. 7, no. 12, p. 292, 2023.
Leesi Saturday Komi, Ashiata Yetunde Mustapha, Adelaide Yeboah Forkuo, Damilola Osamika, “Conceptual Framework for Predictive Analytics in Disease Detection: Insights from Evidence-Based Big Data Analysis.” [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=pZekPIgAAAAJ&pagesize=80&citation_for_view=pZekPIgAAAAJ:bEWYMUwI8FkC
C. L. Goldzweig, A. Towfigh, M. Maglione, and P. G. Shekelle, “Costs And Benefits Of Health Information Technology: New Trends From The Literature: Since 2005, patient-focused applications have proliferated, but data on their costs and benefits remain sparse.,” Health Aff. (Millwood), vol. 28, no. Supplement 2, pp. w282–w293, Jan. 2009, doi: 10.1377/hlthaff.28.2.w282.
LEESI SATURDAY KOMI, ASHIATA YETUNDE MUSTAPHA, ADELAIDE YEBOAH FORKUO, DAMILOLA OSAMIKA, “Conceptualizing the Integration of Digital Health Tools into Clinical Practice: A Review-Based Approach.” [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=pZekPIgAAAAJ&pagesize=80&citation_for_view=pZekPIgAAAAJ:qUcmZB5y_30C
R. Hillestad et al., “Can Electronic Medical Record Systems Transform Health Care? Potential Health Benefits, Savings, And Costs,” Health Aff. (Millwood), vol. 24, no. 5, pp. 1103–1117, Sep. 2005, doi: 10.1377/hlthaff.24.5.1103.
LEESI SATURDAY KOMI, ASHIATA YETUNDE MUSTAPHA, ADELAIDE YEBOAH FORKUO, DAMILOLA OSAMIKA, “Lifestyle Intervention Models for Type 2 Diabetes: A Systematic Evidence-Based Conceptual Framework.” [Online]. Available: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=pZekPIgAAAAJ&pagesize=80&citation_for_view=pZekPIgAAAAJ:-f6ydRqryjwC
M. Attaran, “Blockchain technology in healthcare: Challenges and opportunities,” Int. J. Healthc. Manag., vol. 15, no. 1, pp. 70–83, Jan. 2022, doi: 10.1080/20479700.2020.1843887.
Mariatheresa Chinyeaka, Kelvin -Agwu, Mojeed Omotayo Adelodun, and Geneva Tamunobarafiri Igwama, “(PDF) Enhancing Biomedical Engineering Education: Incorporating Practical Training in Equipment Installation and Maintenance,” ResearchGate. [Online]. Available: https://www.researchgate.net/publication/384638057_Enhancing_Biomedical_Engineering_Education_Incorporating_Practical_Training_in_Equipment_Installation_and_Maintenance
S. Dash, S. K. Shakyawar, M. Sharma, and S. Kaushik, “Big data in healthcare: management, analysis and future prospects,” J. Big Data, vol. 6, no. 1, p. 54, Dec. 2019, doi: 10.1186/s40537-019-0217-0.
A. O. Mbata et al., “Machine learning for health informatics: An Overview,” 2024, [Online]. Available: https://www.multidisciplinaryfrontiers.com/uploads/archives/20250319122244_FMR-2025-1-014.1.pdf
R. Wyber, S. Vaillancourt, W. Perry, P. Mannava, T. Folaranmi, and L. A. Celi, “Big data in global health: improving health in low-and middle-income countries,” Bull. World Health Organ., vol. 93, pp. 203–208, 2015.
A. O. Mbata et al., “Preventative Medicine and Chronic Disease Management: Reducing Healthcare Costs and Improving Long-Term Public Health,” Int. J. Multidiscip. Res. Growth Eval., vol. 5, no. 06, pp. 1584–1600, 2024.
T. Heart, O. Ben-Assuli, and I. Shabtai, “A review of PHR, EMR and EHR integration: A more personalized healthcare and public health policy,” Health Policy Technol., vol. 6, no. 1, pp. 20–25, 2017.
A. Y. Mustapha, S. V. Gbaraba, B. O. Tomoh, A. O. Mbata, and A. Y. Forkuo, “Enhancing Maternal and Child Health in Rural Areas Through AI and Mobile Health Solutions”.
M. Shahzad et al., “A population-based approach to integrated healthcare delivery: a scoping review of clinical care and public health collaboration,” BMC Public Health, vol. 19, no. 1, p. 708, Dec. 2019, doi: 10.1186/s12889-019-7002-z.
A. Y. Mustapha, S. V. Gbaraba, B. O. Tomoh, A. O. Mbata, and A. Y. Forkuo, “Implementing Sustainable Practices in Radiology Departments to Minimize Environmental and Health Risks”.
E. C. Chianumba, N. Ikhalea, A. Y. Mustapha, A. Y. Forkuo, and D. Osamika, “A conceptual framework for leveraging big data and AI in enhancing healthcare delivery and public health policy,” IRE J., vol. 5, no. 6, pp. 303–310, 2021.
A. Y. Mustapha, T. O. Kolawole, A. O. Mbata, B. O. Tomoh, A. Y. Forkuo, and M. C. Kelvin-Agwu, “Leveraging Mobile Health (mHealth) Applications for Improving Maternal and Child Health Outcomes: A Cross-Regional Study,” 2024, [Online]. Available: https://www.researchgate.net/profile/Anfo-Pub-2/publication/390235301_Leveraging_Mobile_Health_mHealth_Applications_for_Improving_Maternal_and_Child_Health_Outcomes_A_Cross-Regional_Study/links/67ed44279b1c6c48776fd109/Leveraging-Mobile-Health-mHealth-Applications-for-Improving-Maternal-and-Child-Health-Outcomes-A-Cross-Regional-Study.pdf
A. Bahga and V. K. Madisetti, “A cloud-based approach for interoperable electronic health records (EHRs),” IEEE J. Biomed. Health Inform., vol. 17, no. 5, pp. 894–906, 2013.
A. Y. Mustapha et al., “Preventive Health Programs: Collaboration Between Healthcare Providers and Public Health Agencies,” Int. J. Pharma Growth Res. Rev., vol. 1, no. 6, pp. 41–47, 2024.
A. Ekblaw, A. Azaria, J. D. Halamka, and A. Lippman, “A Case Study for Blockchain in Healthcare:‘MedRec’ prototype for electronic health records and medical research data,” in Proceedings of IEEE open & big data conference, Vienna, Austria., 2016, p. 13. [Online]. Available: https://www.truevaluemetrics.org/DBpdfs/Technology/Blockchain/5-onc_blockchainchallenge_mitwhitepaper_copyrightupdated.pdf
R. C. Kessler and A. Luedtke, “Pragmatic precision psychiatry—a new direction for optimizing treatment selection,” JAMA Psychiatry, vol. 78, no. 12, pp. 1384–1390, 2021.
S. Adeoye and R. Adams, “Leveraging Artificial Intelligence for Predictive Healthcare: A Data-Driven Approach to Early Diagnosis and Personalized Treatment,” Cogniz J Multidiscip Stud, vol. 4, pp. 80–97, 2024.
D. Hilty, A. Peled, and D. D. Luxton, “Predictive Modeling, Artificial Intelligence, and Machine Learning in Psychiatric Assessment and Treatment,” in Tasman’s Psychiatry, A. Tasman, M. B. Riba, R. D. Alarcón, C. A. Alfonso, S. Kanba, D. M. Ndetei, C. H. Ng, T. G. Schulze, and D. Lecic-Tosevski, Eds., Cham: Springer International Publishing, 2023, pp. 1–22. doi: 10.1007/978-3-030-42825-9_152-1.
K. Shimada, “The role of artificial intelligence in mental health: a review,” Sci. Insights, vol. 43, no. 5, pp. 1119–1127, 2023.
M. Dehghan-Bonari, M. Alipour-Vaezi, M. M. Nasiri, and A. Aghsami, “A diagnostic analytics model for managing post-disaster symptoms of depression and anxiety among students using a novel data-driven optimization approach,” Healthc. Anal., vol. 4, p. 100238, 2023.
N. Mosavi, “Intelligent Decision Support System for precision medicine,” 2024, [Online]. Available: https://repositorium.sdum.uminho.pt/handle/1822/94661
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