Blockchain-Based Smart Contracts for Automated Insurance Claims Processing

Thesis Abstract

The increasing complexity and operational inefficiencies in traditional insurance claims processing have prompted significant interest in leveraging emerging digital technologies to enhance transparency, reduce fraud, and streamline workflows. This study investigates the application of blockchain technology, specifically smart contracts, to automate and secure insurance claims processes. The primary aim is to evaluate the effectiveness and feasibility of implementing blockchain-based smart contracts in automating claims adjudication, settlement, and record-keeping, with a focus on identifying technical, regulatory, and organizational challenges. To achieve this aim, the research is structured around specific objectives (1) to analyze current claims processing practices and identify key bottlenecks, (2) to design a conceptual blockchain-powered smart contract framework tailored to insurance claims management, (3) to empirically assess the potential benefits and limitations of deploying such a framework through simulation and case studies, and (4) to develop recommendations for policy and technological adoption within the insurance industry. The research adopts a mixed-methods approach, combining qualitative interviews with 30 industry practitioners—including actuaries, claims managers, and IT specialists—and quantitative simulations of smart contract deployment using data from a sample of 500 anonymized insurance claims records from a regional insurer. Data collection instruments include semi-structured interview guides, designed to elicit insights into existing pain points and perceptions of blockchain adoption, and a bespoke software prototype that models smart contract execution within a simulated blockchain environment. The validity and reliability of qualitative data are ensured through triangulation and member checking, while the accuracy of simulation results is verified via validation against historical claims processing metrics. Data analysis involves thematic analysis for qualitative interview data, guided by the Technology Acceptance Model (TAM) and the Diffusion of Innovations Theory, to understand stakeholder readiness and perceived ease of use. Quantitative data from the simulation experiments are analyzed using descriptive statistics, paired t-tests, and regression analysis to measure improvements in processing time, error rates, and cost efficiencies. The simulation results are expected to demonstrate reductions in claims adjudication times by up to 35%, a decrease in fraudulent claims detection errors by 20%, and overall cost savings of approximately 15% compared to traditional workflows. Furthermore, the analysis anticipates identifying key factors influencing successful blockchain integration, including regulatory compliance, interoperability, and organizational change management. This study contributes to the existing body of knowledge by providing an empirical model of blockchain-based smart contracts tailored specifically to insurance claims processing, elucidating critical technical and organizational impediments and proposing practical pathways for industry adoption. It advances the theoretical understanding of technology acceptance in highly regulated sectors through the application of TAM and Diffusion of Innovations within a blockchain context. The research fills notable gaps in the literature regarding scalable, real-world implementations of blockchain for claims automation, particularly within emerging markets and regional insurance segments. The main conclusion underscores that blockchain-based smart contracts have significant potential to revolutionize insurance claims workflows by enhancing transparency, reducing processing time, and curbing fraud, provided that regulatory frameworks and organizational change processes are adequately addressed. Recommendations include establishing standardized blockchain protocols, investing in stakeholder education, and developing regulatory guidelines to facilitate secure and compliant deployment. The study also advocates for pilot programs to validate the operational viability of smart contracts in diverse insurance contexts and recommends further research into integrating blockchain solutions with legacy systems and exploring the implications for insurer and customer data privacy. This research thereby offers valuable insights for policymakers, insurers, technology developers, and academia committed to advancing claims automation through blockchain innovation.