{"id":6066,"date":"2022-04-05T14:12:32","date_gmt":"2022-04-05T14:12:32","guid":{"rendered":"https:\/\/kmtraining.org\/early-adoption-of-ai-in-family-planning-programs\/"},"modified":"2022-04-05T14:12:32","modified_gmt":"2022-04-05T14:12:32","slug":"early-adoption-of-ai-in-family-planning-programs","status":"publish","type":"post","link":"https:\/\/kmtraining.org\/fr\/early-adoption-of-ai-in-family-planning-programs\/","title":{"rendered":"Early Adoption of AI in Family Planning Programs"},"content":{"rendered":"
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Increasing investments in emerging technologies across low- and middle-income countries have created unprecedented opportunities to leverage digital<\/a> innovations to enhance voluntary family planning programs. In particular, the use of artificial intelligence (AI) to gain new insights into family planning and optimize decision-making can have a lasting impact<\/a> on programs, services, and users. Current advances in AI are just the beginning. As these approaches and tools are refined, practitioners should not miss the opportunity to apply AI to expand the reach of family planning programs and strengthen their impact.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n

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Potential Uses for AI in Family Planning Programs<\/h3>\n

By applying the USAID-developed framework of AI use in health care<\/a>, we can classify AI\u2019s potential application in family planning programs into four categories:<\/p>\n

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  1. Population health.<\/li>\n
  2. Individual health (care routing and care service).<\/li>\n
  3. Health systems.<\/li>\n
  4. Pharma and medtech.<\/li>\n<\/ol>\n

    Below are examples of AI use relevant to family planning programs for select subcategories from the USAID framework.<\/p>\n

    Population Health<\/strong><\/span><\/p>\n

    Intervention selection<\/strong>. Specific family planning methods are recommended based on an examination of the characteristics of a given population at risk of unmet need for family planning and what is likely to be most effective and efficient for meeting their needs.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n

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    Credit: Arne Hoel\/World Bank<\/a><\/p><\/div>\n

    Individual Health\u2014Care Routing<\/strong><\/span><\/p>\n

    Self-referral.<\/strong> Based on patient-entered, real-time data, an AI-enabled system provides recommendations to the patient on the care needed.
    \nPersonalized outreach.<\/strong> Real-time patient data is captured and analyzed to identify patterns to generate personalized, direct patient outreach (for example, messages from health care providers and chatbots, care recommendations).<\/p>\n

    Individual Health\u2014Care Services<\/strong><\/span><\/p>\n

    Behavioral change.<\/strong> Individuals receive real-time, targeted information or customized guidance on family planning options.
    \nData-driven diagnosis.<\/strong> Diagnose conditions by analyzing symptoms and other data provided by patients.
    \nClinical decision support.<\/strong> Health workers receive real-time guidance on best-practice family planning care based on patient data.
    \nAI-facilitated care.<\/strong> Patients receive guidance on best practices for self-care for family planning based on their symptoms and situations.
    \nCompliance monitoring.<\/strong> Alert users or providers about medication compliance based on patient-use data.<\/p>\n

    Health Systems<\/span><\/strong><\/p>\n

    Capacity planning and personnel management<\/strong>. Examine data on facility-level care needs and the availability of health workers to help predict and plan resources.
    \nQuality assurance and training<\/strong>. Analyze past decisions and identify where errors may have been made to improve the quality and efficiency of the provided family planning services.
    \nMedical records<\/strong>. Assist in creating electronic medical records to limit the time providers spend on the task.
    \nCoding and billing<\/strong>. Support provider finance functions by analyzing medical notes to ensure proper coding; billing strategies are also optimized.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n

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    Pharma and Medtech<\/strong><\/span><\/p>\n

    Supply chain and planning optimization<\/strong>. Improve family planning supply chain management and resource planning by automating the process.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n

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    Applications of AI in Family Planning Programs<\/h3>\n

    Family planning programs have not yet implemented some of these uses of AI, but the technology is expected to create efficiencies in how family planning services are delivered and increase affordability and coverage. According to the IT consulting firm Accenture, AI-powered health applications may result in annual cost savings of $150 billion for the U.S. health care economy by 2026. Experts also recognize the potential savings<\/a> in low- and middle-income countries. Early lessons can be drawn from family planning projects that have used AI, demonstrating both the opportunity for its use and its potential impact, highlighted here.<\/p>\n

    Individual Health\u2014Care Routing<\/strong><\/span><\/p>\n

    Personalized outreach<\/strong><\/p>\n