Recent advances in artificial intelligence have drastically changed the way we work, and this is particularly evident in the medical industry. AI technology has the potential to improve patient outcomes, manage healthcare data, and make healthcare operations more efficient when used ethically.
Many organizations are hiring for healthcare artificial intelligence jobs as they incorporate this technology into their practice. Additionally, many established healthcare professionals are now expected to understand and use AI technology at work, even if it isn't the primary focus of their role.
Artificial intelligence adoption in this industry isn't limited to medical providers. Adjacent organizations like insurance providers are also using AI for accuracy and efficiency. At Indigo, we're using AI technology to improve medical malpractice insurance with individualized risk evaluation, tailored pricing options, and more effective risk management.
In this article, we'll explore how artificial intelligence is changing the healthcare sector, as well as exciting healthcare jobs for professionals in the AI field.
While artificial intelligence has existed in some form since the 1950s, it has become particularly prevalent in the last several years with the widespread adoption of large language models and machine learning tools. These advancements have had a huge impact on healthcare technology.
Healthcare organizations are adopting AI technology at a rapid pace. For example, a September 2025 study found that 71% of U.S. hospitals had implemented predictive AI models. The healthcare industry is also adopting AI technology 2.2 times faster than the broader economy.
This shift means that AI and data science skills are now sought after in the healthcare industry. Professionals who have both extensive healthcare knowledge and technical ability are very valuable and can help improve patient health.
AI technology has affected virtually every aspect of the healthcare industry. Here are some examples of how healthcare organizations are using AI:
AI technology has the potential to make healthcare services more accessible, more effective, and more efficient. However, AI also comes with many ethical and practical challenges that healthcare providers and their organizations will need to address in order to move forward successfully.
The pros of using AI in healthcare include:
While AI tools have plenty of potential, they also come with plenty of downsides. These include:
Healthcare providers must be aware of these challenges and take steps to mitigate them. Human guidance is always necessary to protect patient safety and privacy when using AI tools.
As artificial intelligence becomes more deeply embedded in healthcare technology, ethical considerations are at the forefront of industry development. Ensuring patient safety, privacy, and trust is essential as companies leverage healthcare data and machine learning to improve healthcare outcomes. Leading organizations like IQVIA and Hippocratic AI are setting the standard by prioritizing transparent data analysis, secure data storage, and rigorous testing of AI models before they are deployed in clinical settings.
Ethical AI healthcare solutions are designed to support clinicians, enhance patient outcomes, and raise the overall quality of care. This means not only focusing on technical excellence but also upholding accountability and a commitment to human values throughout the development process. As the healthcare industry evolves, strict adherence to ethical standards is crucial for building reliable, patient-centric AI systems that truly benefit patients and providers alike.
One of the most pressing ethical challenges is addressing bias in machine learning algorithms. To ensure equitable treatment for all patients, it’s vital to use diverse and representative datasets during AI development. Collaboration between healthcare professionals, AI engineers, and ethicists helps create solutions that align with the same values and priorities as human caregivers, keeping patient well-being at the center of innovation.
Ultimately, the future of healthcare will be shaped by AI solutions that are not only innovative but also trustworthy and ethical. By maintaining a strong focus on accountability, excellence, and patient outcomes, the industry can harness the power of AI to create a safer, more effective, and more compassionate healthcare environment.
While AI has the potential to revolutionize healthcare, it also carries the risk of widening existing disparities if not implemented thoughtfully. Social determinants of health, such as income, education, and access to care, must be considered when developing AI solutions to ensure they meet the needs of all patient populations. Companies committed to healthcare equity are prioritizing the collection of data from underrepresented groups, allowing machine learning models to be trained on diverse, inclusive datasets.
By focusing on these efforts, AI can become a powerful tool for reducing healthcare inequities and improving health outcomes for marginalized communities. The future of healthcare depends on the development of AI solutions that are sensitive to the unique challenges faced by diverse populations, promoting accessibility and quality care for everyone.
AI and data science can also help identify and address biases in healthcare delivery, ensuring that all patients receive high-quality care regardless of their background or socioeconomic status. This commitment to fairness and equity must be at the heart of AI development, leveraging the latest technology to create a more just and effective healthcare system. As the industry moves forward, the integration of AI must be accompanied by a dedication to closing gaps in care and creating better outcomes for all patients.
The impact of AI in healthcare is not limited to any one country or region—it’s a global movement transforming patient outcomes and healthcare quality around the world. Nations everywhere are investing in healthcare technology, using data science and artificial intelligence to address local challenges and improve the lives of patients and clinicians.
International collaboration and knowledge sharing are essential for advancing AI healthcare. Companies like IQVIA and Hippocratic AI are developing solutions that can be adapted to different healthcare systems and cultural contexts, ensuring that innovation benefits patients worldwide. By embracing a global perspective, the industry can create AI tools that promote universal access to quality healthcare, regardless of location.
The future of healthcare will be shaped by the convergence of AI, data science, and global cooperation. This approach enables the development of innovative solutions that address the diverse needs of patients and clinicians, while also respecting cultural differences and regulatory requirements. As the world becomes more interconnected, continued investment in AI healthcare research and development will drive progress, improve outcomes, and transform the quality of care on a global scale.
Over the past several years, many new AI jobs in healthcare have emerged. These jobs often require experience with information technology and data science, as well as an understanding of the healthcare industry. In addition, expertise in clinical research is often required to train and evaluate AI models in these positions. These roles are not typically patient-facing, but still focus on improving healthcare outcomes.
Many medical professionals working in patient-facing roles are also expected to use AI in some capacity, even if it isn’t the primary focus of their job. This includes doctors, nurses, and administrative staff. Developing a strong knowledge of AI tools can help medical professionals stand out in this competitive industry.
Notable AI-focused healthcare jobs include:
Many AI-focused healthcare jobs can be done with remote or hybrid work schedules. These include engineering, data analysis, compliance, and product management roles. Many of these positions are available on a full-time basis, often with options for remote or flexible work arrangements.
However, not all healthcare AI jobs are remote. Some organizations prefer to have employees in the workplace, which makes it easier to collaborate with colleagues.
Although AI has the potential to create jobs, it also has the potential to replace them. In theory, AI automation could handle tasks like appointment scheduling and medical billing on its own, limiting the need for administrative staff.
This may seem daunting, but the reality is that AI is unlikely to completely replace healthcare jobs. While AI models are improving, they often hallucinate and make mistakes. In healthcare, even a small mistake could cause safety or privacy issues for patients and significant losses for organizations.
To prevent this, AI technology needs to be supervised by qualified professionals. Many administrative and technical roles in the healthcare industry will shift to become more AI-focused, rather than disappearing entirely.
For example, billing specialists might use AI tools to find the appropriate insurance codes quickly, rather than searching by hand. The next generation of medical professionals will need to be familiar with AI tools and concepts, even while working in patient-facing roles.
AI in healthcare jobs typically require a mix of computer science, data science, and clinical skills. Exact skill sets will vary by job and by organization. Here are some of the AI healthcare skills that organizations look for when reviewing applications.
Education requirements for AI-focused healthcare professionals can vary widely between roles. When analyzing resumes, some hiring managers may prefer applicants with graduate degrees for engineering, data science, and informatics roles. A bachelor's degree or even a high school diploma may be enough for other roles, especially if you have experience in a related field.
Professional courses and certifications can also help you fill in any AI-related skill gaps you have. For example, many universities now offer online courses to help healthcare providers with practical AI learning. Coding bootcamps can also help you learn specific programming languages without the time commitment of a graduate degree.
At Indigo, we're using AI to transform an essential component of the healthcare industry: medical malpractice insurance.
For years, medical malpractice insurance companies have relied on legacy systems, slow processes, and outdated models to assess risk and provide coverage. But as technology evolves, this approach is no longer viable.
Indigo's AI technology provides more accurate risk modeling than traditional methods. This means pricing is individually tailored to your practice's risk level. AI models also make the insurance application process faster and easier for busy healthcare providers.
The Indigo team leverages both AI expertise and healthcare industry experience to create innovative new malpractice insurance offerings.
“Indigo provides a unique opportunity to disrupt a deeply traditional industry. We’re creating new ways to assess risk in medical malpractice, and we need those who are ready to challenge norms, drive meaningful change, and do so autonomously in a remote-first environment,” says Kathleen Murray, Vice President of People & Culture at Indigo.
Many AI insurance companies focus purely on technical skills when hiring. However, Indigo takes a more holistic approach, requiring team members to have both technical proficiency and industry knowledge.
“Candidates who understand healthcare data, have strong predictive modeling skills, and can adapt to a complex regulatory landscape are well-suited,” says Murray. “The ability to work independently and make fast, effective decisions without a clear blueprint is essential.”
Indigo also prioritizes an ethical approach to AI technology by actively taking steps to address bias and privacy concerns. “We look for candidates who understand these issues and can design models that are fair, explainable, and compliant with regulations, even when challenges arise,” says Murray.
Like many other companies focused on AI and insurance, Indigo offers a remote-first environment that supports collaboration and innovation. “At Indigo, our culture is something we are most proud of. Our remote-first approach prioritizes autonomy, collaboration, and innovation,” says Murray. “We’re focused on moving fast, iterating constantly, and finding new solutions to old problems in a field that’s ripe for transformation.”
If you are passionate about AI and healthcare, and want to make an impact, join the Indigo team to help drive innovation!
At Indigo Technologies, AI is at the core of our operations. By innovating with AI, we make medical malpractice coverage more accessible for healthcare providers. The foundation of Indigo's AI technology is built on strong partnerships, an innovative architecture, and core safety principles that ensure reliability and trust.
Indigo offers a seamless application process, tailored pricing, and most importantly, reliable malpractice coverage for your peace of mind. When you face a liability claim, Indigo connects you with trusted defense attorneys for the support you need.
If you need medical malpractice insurance, contact Indigo or get a quote today to get started. If you’re an AI healthcare professional, explore careers with Indigo to find exciting new opportunities.
Image by XH4D from iStock.
