thereby realizing time and resource savings in line with respective government ' s family planning policy . What follows are tactics on how to leverage AI for family planning initiatives as highlighted hereunder .
Data mining
Implementing AI data mining strategies at various levels of family planning governance can provide a starting point to better understand the disproportionately affected populations ; the youth , the unmarried , people with disabilities ( PLwDs ), the poor and hard-to-reach groups including pastoralists , refugees and mobile communities and secondly understand major restrictive barriers in the provision of family planning services , which include distance , cost , religion , culture , rumours and misconception , provider bias , and legal and medical regulations to be able to deploy better strategic plans and approaches .
Data mining case studies
Several countries have utilized data mining techniques to enhance their family planning initiatives . India has employed data mining since the early 2000s , analysing demographic and health surveys , census data , and healthcare records to identify trends , disparities , and gaps in family planning services .
Kenya utilized data mining to analyse mobile phone usage patterns and social media data , informing targeted messaging campaigns and digital engagement strategies . In Bangladesh , data mining techniques were utilized to analyse household surveys like the Bangladesh Demographic and Health Survey ( BDHS ) to identify barriers to family planning uptake , guiding policy development and intervention design .
Nigeria employed data mining to analyse health facility records , supply chain data , and community health worker reports , optimizing supply chain management and service delivery processes to improve access to contraceptives and quality of care . Through these efforts , data mining has played a crucial role in informing evidence-based decision-making and enhancing the impact of family planning programs across diverse contexts .
Now , these countries can further enhance their family planning initiatives by leveraging artificial intelligence ( AI ) in data mining , AI offers advanced analytical capabilities that can handle large and complex datasets more efficiently , uncovering deeper insights and patterns that may have previously been overlooked .
By incorporating AI algorithms into their data mining processes , countries can extract actionable insights in real-time , enabling more timely decision-making and intervention planning . Additionally , AIpowered predictive analytics can forecast future trends and demands , allowing for proactive resource allocation and program adaptation .
Moreover , AI-driven natural language processing ( NLP ) can analyse unstructured data sources such as social media , text messages , and call centre logs , providing valuable insights into public perceptions , concerns , and information needs related to family planning . By integrating AI into data mining efforts , countries can further optimize their strategies , improve program effectiveness , and ultimately enhance access to quality family planning services for their populations .
Comparison 2 low-middle income 3rd world countries
I like to benchmark family planning best practice with India , because of shared family planning barriers like the informational needs of adolescents and youth are poorly met , quality education about SRH is highly limited , and unsafe abortions are rampant . More importantly India has continued to demonstrate leadership on how to carry out family planning fundamentals at reach and scale .
With a population of approximately 1.4 billion , India accounts for about 18 % of all people on the planet , with half of this population being under the age of 25 years . A look at Kenya in comparison its population is estimated to be 56 Million with 40.7 % being below 24 years . There is a huge disparity in the total populace but a similar percentage of youthful age to reach to address similar barriers . 97 % of all internet users in Kenya access the internet on mobile phones , with Kenyans spending over four and a half hours every day using the internet on their phones . Whilst India boasted an estimated 1.1billion mobile connections with estimated 53 % who access the internet from their mobile phones , and spend the same 4-5 hours on their phones .
Chat bots
For the near future , are going to be the best practice tools to understanding and keeping up to speed with audiences . Adopting chatbots for family planning initiatives offers a transformative approach to disseminating information effectively and engaging users in sensitive conversations . Chatbots , automated agents designed to interact with users , provide a pleasant and human-like experience while accessing vast repositories of data to deliver relevant information . Leveraging artificial intelligence ( AI ) technologies , chatbots continuously improve their responses and understanding of natural language through machine learning , creating a dynamic knowledge base with each interaction . As AI chatbot health apps expand , their unique advantages in addressing taboo issues , such as sexual and reproductive health ( SRH ), become increasingly evident . Despite limited initiatives in low-income countries , systematic documentation and evaluation of chatbot projects can generate valuable insights for the public good , emphasizing the importance of embracing chatbots in family planning endeavours .
The implementation of AI-powered application tools in health promotion and education has emerged as a valuable tool in advancing various sustainable development goals outlined by the United Nations .
Case study : How AI is transforming the family planning in India
A notable example of this is the Population Foundation of India ' s creation of SnehAI the pioneering Hinglish ( Hindi + English ) AI chatbot , tailored to align with the social and behavioural nuances prevalent in India .
This initiative employed a 360 ° approach , particularly utilizing the transmedia edutainment social and behaviour change communication strategy . It was coordinated across multiple media platforms to challenge deeply entrenched regressive gender norms and advocate for women ’ s empowerment . Its purpose was to foster dialogue and education about Sexual and Reproductive Health ( SRH ), particularly targeting the youth demographic in India .
In crafting this AI chatbot , against a backdrop of a mini-series the projects intention was clear ; to amplify Dr . Sneha a media persona on Doordashan , ( an Indian state-owned public television broadcaster one of India ’ s national television ) as a reliable confidant , providing a secure , non-judgmental , and confidential interaction avenue , leveraging her character on Main Kuch Bhi Kar Sakti Hoon mini series . Powerful stories the target audiences can relate too were told through the dramatic journey
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