Sustainability in healthcare means keeping good care and access without hurting future needs. This includes caring for the environment, social fairness, and the economy. AI can help with this by making systems more efficient, cutting waste, and aiding decisions based on data. But, it must be managed carefully to avoid problems.
A United Nations study looked at how AI and other digital technologies help reach the Sustainable Development Goals (SDGs), especially SDG 3, which aims for good health worldwide. AI helps by automating tasks, predicting outcomes, and personalizing treatments. These improvements help manage resources better and improve patient results. For example, AI systems can lower energy use by predicting when machines need fixing, improve supply chains for medical goods, and schedule patients to reduce crowding and waste.
From an environmental side, AI helps hospitals cut their carbon footprints by managing energy use more efficiently. This matches SDG 13, which calls for action against climate change. AI also works with Internet of Things (IoT) devices to watch energy and environment conditions in real time, helping hospitals be more sustainable.
However, there are challenges. High costs, cybersecurity issues, and the digital divide make it harder for all healthcare places to use AI equally. Some groups may miss out on AI’s benefits because of unequal digital access. Fixing this needs investments from both government and private groups, plus special training so hospital staff can use AI well.
Ethics are very important when using AI in healthcare. UNESCO published a global guide in 2021 called “Recommendation on the Ethics of Artificial Intelligence.” This guide is useful for healthcare leaders thinking about AI.
The guide focuses on four main values: human rights and dignity, peaceful and fair societies, diversity and inclusion, and respect for the environment. These ideas say AI should protect people’s well-being without causing harm or unfair treatment.
For healthcare workers, this means:
UNESCO also warns that AI can copy unfair biases in society. This can happen if AI learns from data that does not include all groups fairly or shows existing inequalities. For example, if AI is used to decide which patients get care but is biased, some groups might get worse treatment.
One UNESCO project called Women4Ethical AI works to reduce bias by promoting gender equality in AI designs. This helps make sure AI in healthcare is fair for everyone, including women and minority groups.
Apart from social concerns, healthcare must think about AI’s impact on the environment. AI uses a lot of energy for data centers, analysis, and storage. This raises questions about carbon emissions and resource use.
Research from fields like construction shows that AI can help while keeping environmental harm low if planned well. In healthcare, this means using efficient machines, cloud systems that use renewable energy, and software that does not waste resources.
Cloud computing and big data help hospitals grow services without needing too much physical equipment, which lowers energy use. Also, IoT devices with AI help manage hospitals efficiently and reduce waste.
Healthcare managers should think about:
AI can make many front-office tasks in healthcare easier. These tasks include patient scheduling, answering phones, billing, and handling data. AI automation cuts down on work for staff so they can focus more on patients.
Some companies like Simbo AI create AI systems that answer phones. They can schedule appointments, answer common questions, and handle routine calls without a human at every step. This saves time, lowers costs, and gives patients quicker replies.
Automation also helps avoid mistakes in booking appointments, entering data, and following up. Healthcare has many calls and documents, so AI reduces waiting times, stops scheduling problems, and improves how things run.
But, using AI automation must also follow ethical rules. Patients need to know when they are talking to AI. Human help should still be available for tough or personal issues.
Human supervision is also important. IT teams must check how AI works, listen to patient feedback, and make sure AI helps without harming privacy or access.
The United Nations SDGs offer a way to check how AI helps health and sustainability goals. U.S. healthcare leaders can use these goals to think about AI’s long-term effects.
Some key goals are:
To work on these goals, healthcare leaders should:
UNESCO advises that humans should always supervise AI in healthcare. AI must not replace human responsibility, especially when making important health decisions.
Healthcare leaders should do Ethical Impact Assessments (EIA) before using AI. This means working with healthcare teams, patients, community members, and experts to find possible risks, biases, privacy concerns, and social effects.
EIAs help spot problems before they happen and make sure AI respects human rights. Hospitals should also do regular checks and update training because AI systems change as they get new data.
For AI to work well, staff must have the right skills and everyone should have fair access. Hospitals need to provide special training for their workers.
There is a shortage of experts who know AI and healthcare together. Training should cover technical skills as well as AI ethics, privacy rules, and managing AI systems.
At the same time, healthcare places must help close the digital divide. This gap means some people have good internet and technology, while others do not. Without help, some groups might miss out on AI health benefits.
To fix this, strategies include expanding internet access in poor areas, making easy-to-use patient portals, and teaching digital skills.
Healthcare leaders in the U.S. face big decisions about using AI with patient care. AI can bring better efficiency, save money, and give data-driven insights. But, it is important to balance this with environmental care, ethics, fairness, and long-term benefits.
Groups like UNESCO provide ethical guides that health leaders can adjust to fit their needs. Linking AI use to the Sustainable Development Goals helps set clear aims and roles. This makes sure AI improves health while respecting people and the environment.
Moving forward will need careful planning, human oversight, community input, training, and strong management. By working this way, healthcare systems can use AI in a way that supports fairness, trust, and sustainability.
The Observatory aims to provide a global resource for policymakers, regulators, academics, the private sector, and civil society to find solutions for the most pressing AI challenges, ensuring AI adoption is ethical and responsible worldwide.
The protection of human rights and dignity is central, emphasizing respect, protection, and promotion of fundamental freedoms, ensuring that AI systems serve humanity while preserving human dignity.
A human rights approach ensures AI respects fundamental freedoms, promoting fairness, transparency, privacy, accountability, and non-discrimination, preventing biases and harms that could infringe on individuals’ rights.
The core values include: 1) human rights and dignity; 2) living in peaceful, just, and interconnected societies; 3) ensuring diversity and inclusiveness; and 4) environment and ecosystem flourishing.
Transparency and explainability ensure stakeholders understand AI decision-making processes, building trust, facilitating accountability, and enabling oversight necessary to avoid harm or biases in sensitive healthcare contexts.
UNESCO offers tools like the Readiness Assessment Methodology (RAM) to evaluate preparedness and the Ethical Impact Assessment (EIA) to identify and mitigate potential harms of AI projects collaboratively with affected communities.
Human oversight ensures AI does not replace ultimate responsibility and accountability, preserving ethical decision-making authority and safeguarding against unintended consequences of autonomous AI in healthcare.
They promote social justice by requiring inclusive approaches, non-discrimination, and equitable access to AI benefits, preventing AI from embedding societal biases that could affect marginalized patient groups.
Sustainability requires evaluating AI’s environmental and social impacts aligned with evolving goals such as the UN Sustainable Development Goals, ensuring AI contributes positively long-term without harming health or ecosystems.
It fosters inclusive participation, respecting international laws and cultural contexts, enabling adaptive policies that evolve with technology while addressing diverse societal needs and ethical challenges in healthcare AI deployment.
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