Predictive Analytics
By utilizing predictive modeling, AI can forecast future needs and vulnerabilities, enabling preemptive measures to support those at risk of lack of OOP expense or requiring assistance. This is particularly important for national budgeting and planning purposes.
Personalized Services
Personal and corporate benefit in communication that all AI enthusiast or not is benefiting is how AI tailors’ services to individual needs, an example is when using a search engine. Improving the effectiveness of social protection programs by addressing specific circumstances and requirements of beneficiaries. This will encourage more onboarding and participation.
Automation of Processes
AI can enhance social protection programs by automating key processes such as beneficiary identification, fraud detection, and service delivery. It can analyze large datasets to accurately target eligible beneficiaries, reducing errors and improving efficiency. AI-powered tools can also monitor transactions to detect and prevent fraud, ensuring resources reach the intended recipients. Additionally, AI-driven chatbots and automation streamline communication, guide beneficiaries through applications, and optimize payment and distribution systems for timely and effective service delivery.
Integrated AI inter agency platform
Developing an integrated responsive web and mobile AI platform that integrates the social protection authority, populace, services providers and stakeholders to provide fast accurate and seamless flow of information and coordination of service delivery. Chatbots and virtual assistants are slowly becoming an important tool to provide instant information and assistance to individuals. This integrated platform should aim to understand needs gaps and have candid conversations on experiences to enhance acceptability and service delivery, thus making social protection services more accessible, especially through mobile phones in remote areas. Any patient prior to visiting a healthcare facility should be able to make informed choice of knowing what facility is easily accessible and know what to expect when they visit that facility.
Fraud Detection
Fraud Detection is a critical component when deploying social protection and implementing a robust AI tool, that is designed to be integrated into participating government agencies and private sector players that monitor transactions and service usage patterns to identify anomalies and potential fraud, helping to protect resources and ensuring services and monies are channeled efficiently i. e. tax regimens are accounted for and quality services reach the intended beneficiaries.
This ultimately service provision feedback and adaptation from service users and suppliers will improve decision-making, support policymakers by providing simulations and analyses to evaluate experiences, leading to better informed decisions, thus allowing for continuous improvement based on real-time data and user experiences.
But to be able to implement successful AI driven social protection system, African countries should implement national AI for healthcare development Strategy. To do this it’ s imperative that they constitute national council which is then tasked with developing national AI platforms, strategies with a charter for responsible AI use, to be integrated in national healthcare strategy, that plugs in their vision 2030 with the goal of fast tracking in achieving millennial and sustainable development goals. African countries should proactively develop the capacity, ecosystems, frameworks, partnerships, applications, and institutions needed to leverage safe, secure, and trustworthy AI for sustainable development. Drawing from extensive consultations with government officials, NGOs, technology firms, startups, and individuals, this approach serves as a comprehensive roadmap to maximize AI’ s potential for positive impact while ensuring its responsible and sustainable use.
A case study is Egypt which has implemented a robust social protection programme and assesses their country’ s progress in implementing its National AI Strategy across four pillars: government, developmental sectors, human resources, and international activities.
Kenya ' s hasty rollout of the Social Health Authorities-Social Health Insurance Fund scheme led to negative outcomes for both beneficiaries and service providers. To avoid such pitfalls, a comprehensive participatory approach is essential- engaging stakeholders and educating citizens on the scheme ' s benefits and expectations. Early implementation of a well-structured 360-degree traditional and AI-driven communication strategy can significantly accelerate acceptance and ensure smoother implementation.
Tailored data pipeline where continuous reproductive health, lifestyle disease prevention and cure, terminal illness management monitoring of patients’ needs and solutions offered are reassessed against personal and economic characteristics and experiences, predictive analytics can make social care more effective and responsive to changes in socio tech circumstances which then can assist in determining improved intervention packages.
Michael Mwangi is a seasoned marketer, certified in AI, web and mobile analytics, e-commerce and SEO. You can commune with him via email at: Mikeymwangi @ gmail. com.