Reimagining Global Health through Artificial Intelligence: A Roadmap to AI Maturity
Global Challenges
As today's defining technology, and greatest opportunity to address growing challenges:
Global healthcare spending
Projected to double over the next 20 years
Health worker shortage
50% of countries have <1 doctor for 1000 people
Dual disease burden
Noncommunicable diseases now cause 70% of deaths, while infectious diseases remain prevalent
Rapid urbanization
70% of people will live in cities by 2050, increasing exposure to unhealthy lifestyles
Emerging threats
COVID-19, climate change, pollution and antimicrobial resistance
Underserved populations
>734 million people lack access to essential health services
Misinformation and disinformation
Incorrect health information is putting millions of lives at risk
Potential of AI
C-Suite executives believe they must leverage AI to achieve growth.
agree that AI helps achieve previously hidden or unobtainable value.
agree that AI is finding solutions to previously unsolved business problems.
Top 5 use cases for AI in health
A new report from the Broadband Commission Working Group on Digital and AI in Health identifies five use cases for how AI is addressing global and public health priorities, strengthening health systems, and improving outcomes for patients.
Targeting public health interventions through predictive analytics.
Optimizing drug discovery and design, personalized therapy and trial design and execution.
Integrating into new and existing clinical workflows.
Interacting directly with patients, providing non-clinical therapies, information and advice.
Optimizing back-end processes in healthcare.
The maturity roadmap for AI in health
The report presents actionable recommendations tailored to individual stakeholder groups, enabling governments, health organizations, civil society, the private sector and others to capture the game-changing capabilities of AI for health.
The recommendations are grouped into six interdependent areas that must all be prioritized to enable mature integration of AI in health. An accompanying roadmap charts three stages on the progressive path towards AI maturity in health.
People & workforce: education, training, agile workforces, talent, human-centric, change management
Data & technology: data, infrastructure, business intelligence, privacy & trust, interoperability, algorithms & models, explainability
Governance & regulatory: strategy & budget, validation, privacy & rights, data governance, workforce, institutions
Design & processes: humans at the center, integration, model KPIs, needs-driven, localization, behavior
Partnerships & stakeholders: government leadership, needs-driven partnerships, structured prototyping, localization
Business models: funding, incentives, public-private partnerships, monetization
About the working group
Digital and AI technology offer an unprecedented opportunity to transform health systems from being reactive to preventative and even predictive. The Working Group on Digital and AI in Health is tasked with generating knowledge about how these technologies can advance health and care globally. The working group’s comprehensive landscape review identified actionable recommendations for how governments and other stakeholders can create the ecosystem necessary to achieve mature integration of AI in health.
The objective of this report, Reimagining Global Health through Artificial Intelligence: A Roadmap to AI Maturity, is to generate ḱnowledge on the challenges, lessons learned, and best practices for AI solutions in health, and to provide actionable recommendations.
Discover the top AI solutions in the report: AI in Health
