DIGITAL TRANSFORMATION STRATEGY AND PERFORMANCE OF E-CLAIMS SYSTEMS AT NATIONAL HEALTH INSURANCE FUND, KENYA

GEOFFREY T. MWANGI, MICHAEL MUSEMBI, PhD, JOHN KAMAU, PhD, FREDRICK OBUNGA

Abstract


The automation of health claims and the implementation of an advanced claims management system plays a crucial role in ensuring high-quality healthcare for patients. Claims processing is a vital function for insurance companies, as the speed and convenience with which claims are handled directly impact the overall reputation of the insurer. In Kenya alone, approximately 30 million medical claims are processed annually. However, an inefficient claims management system presents significant challenges, including high costs, time consumption, and increased instances of medical fraud. This research examined the effect of digital transformation strategy on the performance of e-claims systems at the National Health Insurance Fund in Kenya. The study objectives included assessing the impact of integrating digital technologies, evaluating the effect of data security compliance, examining the role of user experience, and determining the effect of interoperability with external systems on the performance of e-claims systems. The study was grounded in the Innovation Diffusion Theory, Resource-Based Theory, and Digital Business Transformation Framework. A case study research design was employed, targeting 166 employees at the National Health Insurance Fund headquarters. The sample size was determined using Yamane’s formula, resulting in 95 respondents. Stratified random sampling was utilized as the sampling procedure. Data analysis was conducted using SPSS version 27.0, encompassing preliminary analysis, and descriptive and inferential analysis. Measures of central tendency (mean, median, and mode) were employed to describe the data set, while measures of variability (range, standard deviation) will assess data dispersion. Pearson Correlation Analysis and multiple regression models were employed. The results were presented using tables and figures. The study results found that integration of digital technologies significantly affects the performance of E-Claims Systems (B = .646, p < .001); data security compliance has a significant and positive effect on the performance of E-Claims Systems (B = .528, p < .001); user-experience has a significant and positive effect on the performance of E-Claims Systems (B = .618, p < .001) and that compatibility with external systems has a significant and positive effect on the performance of E-Claims Systems (B = .703, p < .001). The study concludes that the integration of digital technologies, data security compliance, user experience, and interoperability with external systems is integral to enhancing E-Claims Systems performance at NHIF. The general recommendation for the study is to prioritize the integration of digital technologies, ensure data security compliance, optimize user experience, and foster interoperability with external systems within E-Claims Systems at NHIF.

Key Words: Digital Transformation Strategy, Integrating Digital Technologies, Data Security Compliance, User Experience, Interoperability with External Systems.

CITATION: Mwangi, G. T., Musembi, M., Kamau, J. & Obunga, F. (2024). Digital transformation strategy and performance of e-claims systems at National Health Insurance Fund, Kenya. The Strategic Journal of Business & Change Management, 11 (2), 1616 – 1640. http://dx.doi.org/10.61426/sjbcm.v11i2.3002


Full Text:

PDF

References


Adzakpah, G., & Dwomoh, D. (2023). Impact of digital health technology on health insurance claims rejection rate in Ghana: A quasi-experimental study. BMC Digital Health, 1(1), 5.

Akanle, O., Ademuson, A., & Shittu, O. (2020). Scope and limitations of study in social research. Contemporary issues in social research, 105-114.

Alhumairan, O. J., Al-Harbi, M. M., Almutairi, S. F., Alrashedi, A. N., Alsubaie, N. S., Alanazi, A. S., ... & Albogami, H. M. (2023). Exploring The Challenges And Advantages Of Electronic Health File Systems: A Systematic Review. Journal of Namibian Studies: History Politics Culture, 33, 839-862.

Arakji, R., & Lang, K. (2007). Digital consumer networks and producer-consumer collaboration: Innovation and product development in the digital entertainment industry. 40th Annual Hawaii International Conference on System Sciences (HICSS’07) (p. 211c). IEEE.

Baranowski, T., Cullen, K., Nicklas, T., Thompson, D., & Baranowski, J. (2003). Are current health behavioral change models helpful in guiding prevention of weight gain efforts? Obesity Research, 11(10), 23-43.

Barney, J., & Arikan, A. (2005). The resource-based view: origins and implications. The Blackwell handbook of strategic management, 123-182.

Begum, T., Khan, S. M., Adamou, B., Ferdous, J., Parvez, M. M., Islam, M. S., & Anwar, I. (2020). Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study. BMC health services research, 20, 1-13.

Borchert, O. (2008). Resource-based theory: Creating and sustaining competitive advantage.

Brown, N. (2022). Scope and continuum of participatory research. International journal of research & methods in education, 45(2), 200-211.

Casteel, A., & Bridier, N. L. (2021). Describing Populations and Samples in Doctoral Student Research. International Journal of Doctoral Studies, 16(1).

Chaudhary, A. A., Nazir, N., Riaz, A., Sadiq, N., & Riaz, N. (2022). Autocorrelation: what happens if the error or disturbance terms are correlated in time-series data. Competitive Education Research Journal, 3(2), 154-163.

Das, B. (2022). Diffusion of innovations: Theoretical perspectives and empirical evidence. African Journal of Science, Technology, Innovation and Development, 14(1), 94-103.

Echulet, L. A. (2023). Total quality management on performance of electronic claims systems in medical insurance firms in Kenya: a case of National Health Insurance Fund, Kenya (Doctoral dissertation, Africa Nazarene University).

Elkhuizen, G., & Corver, Q. (2014). In Report: A framework for digital business transformation. Cognizant Business Consulting Benelux.

Faisal, S. M., & Idris, S. (2020). Innovation factors influencing the supply chain technology (sct) adoption: Diffusion of innovation theory. International Journal of Social Science Research, 2(2), 128-145.

García-Avilés, J. A. (2020). Diffusion of innovation. The international Encyclopedia of media psychology, 1-8.

Hariyani, D., Mishra, S., & Sharma, M. K. (2023). A descriptive statistical analysis of barriers to the adoption of integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS) in Indian manufacturing industries. Benchmarking: An International Journal, 30(8), 2705-2733.

Hitt, M., Carnes, C., & Xu, K. (2016). A current view of resource based theory in operations management: A response to Bromiley and Rau. Journal of Operations Management, 47(10), 107-109.

Hlahatsi, R. (2020). Study of the digital transformation adoption in the life insurance sector in South Africa (Doctoral dissertation, University of Pretoria).

Husband, G. (2020). Ethical data collection and recognizing the impact of semi-structured interviews on research respondents. Education Sciences, 10(8), 206.

Jacob, U. M. (2018). How Ghana’s National Health Insurance Scheme (NHIS) Used the Electronic Claims Management System to streamline and Boost Efficiency in Claims Management. Implementing Government Reforms: Science of Delivery Case Studies, 33.

Kaguthai, A. (2021). Motor vehicle claims challenges in Kenya and development of a Claims Bot application prototype (Doctoral dissertation, University of Nairobi).

Kale, S., & Arditi, D. (2010). Innovation diffusion modeling in the construction industry. Journal of construction engineering and management, 136(3), 329-340.

Kamau, J., Githii, K., & Njau, M. (2014). Research Methods: Design of a research project. Multiface Solution Ltd.

Katz, N., Dworkin, R. H., North, R., Thomson, S., Eldabe, S., Hayek, S. M., ... & Venkatesan, L. (2021). Research design considerations for randomized controlled trials of spinal cord stimulation for pain: Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials/Institute of Neuromodulation/International Neuromodulation Society recommendations. Pain, 162(7), 1935-1956.

Kemboi, J. J. (2022). Effect of claims digitalization on service delivery by insurance companies in Kenya (Doctoral dissertation, University of Nairobi).

Lakens, D. (2022). Sample size justification. Collabra: psychology, 8(1), 33267.

Li, Y., Dai, J., & Cui, L. (2020). The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model. International Journal of Production Economics, 229, 107777.

Li, Y., Lu, L. X., Lu, S. F., & Chen, J. (2022). The value of health information technology interoperability: Evidence from interhospital transfer of heart attack patients. Manufacturing & Service Operations Management, 24(2), 827-845.

Lockett, A., O’Shea, R., & Wright, M. (2008). The development of the resource-based view: reflections from Birger Wernerfelt 1. Organization Studies, 29(9), 1125-1141.

Lu, J. L., & Marcelo, P. G. F. (2021). Assessment of the Context for eHealth Development in the Philippines: A Work in Progress from 1997 to 2020. Acta Medica Philippina, 55(6).

Matenjwa, L. J. (2020). Effect of Digital Technologies on Customer Service Delivery in Huduma Centres in Nairobi County, Kenya (Doctoral dissertation, University of Nairobi).

Mitchell, M., & Kan, L. (2019). Digital technology and the future of health systems. Health Systems & Reform, 5(2), 113-120.

Moturi, C. A. (2019). Use Of Data Mining To Detect Fraud Health Insurance Claims (Doctoral dissertation, UoN).

Mugenda, A. (2008). Social Science Research: Theory and Principles. Nairobi: Act Press.

Muinga, N., Magare, S., Monda, J., English, M., Fraser, H., Powell, J., & Paton, C. (2020). Digital health Systems in Kenyan Public Hospitals: a mixed-methods survey. BMC medical informatics and decision making, 20, 1-14.

Musaigwa, M., & Mutula, S. (2022). Impact of digital transformation on strategy in the insurance sector. International Journal of Research in Business and Social Science, 11(4), 69-76.

Mwangi, A. W. (2022). Determinants of effective fraud risk management practices among medical insurance providers in Kenya (Doctoral dissertation, Strathmore University).

Nanthagopan, Y. (2021). Review and comparison of multi-method and mixed method application in research studies. Journal of Advanced Research, 2(3), 55-78.

Nwaiwu, F. (2018). Review and Comparison of Conceptual Frameworks on digital business transformation. Journal of Competitiveness, 10(3), 86–100.

Okour, M. K., Chong, C. W., & Abdel Fattah, F. A. M. (2021). Knowledge management systems usage: application of diffusion of innovation theory. Global Knowledge, Memory and Communication, 70(8/9), 756-776.

Osuagwu, L. (2020). Research methods: Issues and research direction. Business and Management Research, 9(3), 46-55.

Park, Y. S., Konge, L., & Artino Jr, A. R. (2020). The positivism paradigm of research. Academic medicine, 95(5), 690-694.

Paul, J., & Criado, A. R. (2020). The art of Writing Literature Review: What do we know and what do we need to know? International business review, 29(4), 101717.

Rahman, M. M., Tabash, M. I., Salamzadeh, A., Abduli, S., & Rahaman, M. S. (2022). Sampling techniques (probability) for quantitative social science researchers: a conceptual guidelines with examples. Seeu Review, 17(1), 42-51.

Rong, X., & Mei, Q. (2013). Diffusion of innovation revisited: from social network to innovation network. In Proceedings of the 22nd ACM International Conference on Information & Knowledge Management, 499-508.

Saputra, W. H., & Prima, A. (2022). E-Claim System for Health Insurance and Social Security (BPJS) Types in Indonesia: Innovation And Effectiveness Of Services. Journal of Society Medicine, 1(1), 14-24.

Satuluri, R. (2021). Digital transformation in Indian Insurance Industry. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(4), 310-324.

Sauer, J., Sonderegger, A., & Schmutz, S. (2020). Usability, user experience, and accessibility: towards an integrative model. Ergonomics, 63(10), 1207-1220.

Shetty, S. R., Chatterjee, D., & Pai, Y. P. (2023). Managed Care Models in India: An Investigation on the Ownership and Performance of Health Claims Management. Journal of Health Management, 25(4), 918-926.

Shevchuk, O., Kondrat, I., & Stanienda, J. (2020). Pandemic as an accelerator of digital transformation in the insurance industry: Evidence from Ukraine. Insurance Markets and Companies, 11(1), 30.

Syed-Abdul, S., Hsu, M. H., Iqbal, U., Scholl, J., Huang, C. W., Nguyen, P. A., ... & Jian, W. S. (2015). Utilizing health information technology to support universal healthcare delivery: Experience of a National Healthcare System. TELEMEDICINE and e-HEALTH, 21(9), 742-747.

Tracy, S. (2019). Qualitative research methods: Collecting evidence, craftng analysis, communicating impact. John Wiley & Sons.

Ubindam, J. M. (2019). Taking an electronic claims system from pilot to countrywide implementation in Ghana.

Usai, A., Fiano, F., Petruzzelli, A. M., Paoloni, P., Briamonte, M. F., & Orlando, B. (2021). Unveiling the impact of the adoption of digital technologies on firms’ innovation performance. Journal of Business Research, 133, 327-336.

Varpio, L., Paradis, E., Uijtdehaage, S., & Young, M. (2020). The distinctions between theory, theoretical framework, and conceptual framework. Academic Medicine, 95(7), 989-994.

Zeebaree, S. R., Zebari, R. R., Jacksi, K., & Hasan, D. A. (2019). Security approaches for integrated enterprise systems performance: A Review. Int. J. Sci. Technol. Res, 8(12), 2485-2489.




DOI: http://dx.doi.org/10.61426/sjbcm.v11i2.3002

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

PAST ISSUES:
20242023202220212020201920182017201620152014
Vol 11, No 3 [2024]Vol 10, No 4 [2023]Vol 9, No 4 [2022]Vol 8, No 4 [2021]Vol 7, No 4 [2020]Vol 6, No 4 [2019]Vol 5, No 4 [2018]Vol 4, No 4 [2017]Vol 3, No 4 [2016]Vol 2, No 2 [2015]Vol 1, No 2 [2014]
 Vol 11, No 2 [2024] Vol 10, No 3 [2023] Vol 9, No 3 [2022]Vol 8, No 3 [2021]Vol 7, No 3 [2020]Vol 6, No 3 [2019]Vol 5, No 3 [2019]Vol 4, No 3 [2017]Vol 3, No 3 [2016]Vol 2, No 1 [2015]Vol 1, No 1 [2014]
 Vol 11, No 1 [2024] Vol 10, No 2 [2023] Vol 9, No 2 [2022]Vol 8, No 2 [2021]Vol 7, No 2 [2020]Vol 6, No 2 [2019]Vol 5, No 2 [2018]Vol 4, No 2 [2017]Vol 3, No 2 [2016]  
  Vol 10, No 1 [2023] Vol 9, No 1 [2022]  Vol 8, No 1 [2021]Vol 7, No 1 [2020]Vol 6, No 1 [2019]Vol 5, No 1 [2018]Vol 4, No 1 [2017]Vol 3, No 1 [2016]   


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.