By Ben Hoffman, MD, MPH
Chief Medical Officer, WorkSTEPS
This article is part of an ongoing WorkSTEPS occupational health series exploring emerging risks, regulatory shifts, and prevention strategies impacting today’s workforce.
Key Insights
- AI can help organizations identify workplace risks earlier, enabling more proactive prevention strategies.
- By analyzing large volumes of health, safety, and operational data, AI can support more informed return-to-work, surveillance, and risk management decisions.
- The most effective use of AI combines technology with human expertise, allowing professionals to focus less on paperwork and more on workforce health and safety.
Artificial intelligence (AI) is no longer a futuristic concept. It has become one of the most significant forces reshaping healthcare and the workplace. While much of the public discussion focuses on ChatGPT and other generative AI tools that create content, the real transformation will occur behind the scenes, where AI analyzes vast amounts of medical, safety, industrial hygiene, and operational data to improve decision-making.
As an occupational and environmental physician for more than three decades, I believe we are entering a new era, one where clinicians, environmental health and safety (EHS) professionals, and HR leaders can spend less time buried in paperwork and more time preventing illness, injury, and disability.
Here are eight ways AI is reshaping occupational health:
1. Predicting Workplace Risk Earlier
Rather than waiting for injuries and illnesses to occur, AI has the capacity to identify patterns that suggest increasing risk before employees are harmed. Small increases in first-aid cases, ergonomic complaints, absenteeism, overtime, equipment failures, or environmental exposures may signal an emerging problem long before traditional metrics reveal it.
Prevention has always been our goal. AI finally gives us tools to become predictive and less reactive.
2. Accelerating Medical Record Review
Occupational physicians are frequently asked to review hundreds, or even thousands, of pages of medical records. AI rapidly summarizes records, constructs timelines, identifies inconsistencies, compares treatment against evidence-based guidelines, and highlights important findings requiring physician review.
The physician remains responsible for medical judgment, but AI dramatically improves efficiency.
3. Improving Return-to-Work Decisions
Occupational medicine requires physicians to integrate medical evidence, functional capacity, job demands, and regulatory requirements into complex return-to-work decisions. AI has the potential to substantially improve this process.
AI can help compare functional limitations with the essential demands of a job, identify barriers to recovery, flag cases that may benefit from earlier intervention, and support more consistent return-to-work recommendations.
It can also organize medical information, summarize evidence, and assist physicians in making more consistent recommendations while preserving individualized medical judgment.
4. Enhancing Medical Surveillance Programs
Medical surveillance programs generate enormous amounts of data, including hearing tests, pulmonary function testing, laboratory values, imaging studies, respirator clearances, and periodic examinations.
AI can detect subtle trends that humans may overlook and identify employees who may benefit from earlier evaluation.
5. Strengthening Population Health Strategies
Organizations increasingly recognize that employee health directly affects productivity, safety, retention, and healthcare costs. AI enables occupational health professionals to identify trends in chronic disease, obesity, diabetes, sleep disorders, heat illness, musculoskeletal injuries, and behavioral health while directing resources where they will have the greatest impact.
6. Advancing Predictive Risk Management for EHS and HR
Perhaps AI’s greatest long-term value is its ability to move organizations from reactive safety programs to predictive risk management.
Most organizations already possess enormous amounts of data, but these data sources have historically existed in separate silos and were rarely analyzed together.
AI can integrate these diverse data sources and identify subtle patterns that signal increasing organizational risk long before traditional metrics detect a problem. The result is earlier intervention, more effective allocation of resources, and improved protection of employees.
For EHS and HR leaders, AI becomes less of a reporting tool and more of a strategic decision-support platform.
7. Reducing Administrative Burden
AI can draft reports, summarize encounters, organize records, generate correspondence, and automate repetitive administrative tasks. Every hour saved on documentation is another hour available for employee care and prevention efforts.
8. Connecting HR, EHS, and Occupational Medicine
Occupational health sits at the intersection of medicine, safety, industrial hygiene, disability management, workers’ compensation, and human resources.
AI can help integrate these traditionally separate data streams while supporting privacy requirements and regulatory compliance.
Why Human Expertise Still Matters in the Age of AI
Despite impressive advances, AI is not replacing physicians. It cannot independently understand organizational culture, appreciate complex human interactions, exercise ethical judgment, or build trust with employees.
AI should be viewed as a highly capable assistant, not a replacement for experienced clinical professionals.
Practical Advice: Start Using AI, But Never Stop Thinking
Many professionals remain hesitant to use AI because it can occasionally generate inaccurate or misleading information. Those concerns are legitimate, but they should not discourage learning.
Think of AI as an exceptionally bright first-year resident, research assistant, or analyst. It works remarkably fast, can review enormous amounts of information, and often provides valuable insights.
However, it occasionally reaches incorrect conclusions or confidently presents inaccurate information.
Every important fact should be verified. The professionals who will benefit most are those who learn how to ask better questions, critically evaluate AI’s output, and combine its speed with their own professional judgment.
In occupational medicine, EHS, and HR, experience remains irreplaceable.
Conclusion
Artificial intelligence represents one of the most important technological advances in occupational medicine since the widespread adoption of electronic medical records.
Its greatest value lies in improving injury management, identifying workplace risks earlier, supporting evidence-based decision-making, and allowing clinicians to spend more time caring for employees instead of completing paperwork.
Those who become proficient with AI today will help define the next generation of occupational health practice.
Rather than asking whether AI will replace physicians, the better question is:
“Will tomorrow’s physicians outperform today’s by learning to work intelligently with AI?”
I believe the answer is yes.
Dr. Ben Hoffman is a highly seasoned physician executive with an extensive background in occupational and environmental health, clinical medicine, and transportation safety. He has been employed by government agencies, non-profits, and multinational corporations including GE, Waste Management, Anheuser-Busch, and DuPont. Dr. Hoffman trained at Yale, Brown, and Mt. Sinai School of Medicine and is board certified in internal medicine, preventive medicine, and environmental/occupational health.
He has published widely and holds a Professorship (Adjunct) at the University of Texas School of Public Health. He has held professorships at Tufts University Friedman School of Nutrition, Dartmouth School of Medicine, Boston University, and the University of New Hampshire. He is active on numerous committees and boards, including Global Health at the National Academy of Sciences/Institute of Medicine, IPIECA, the International Association of Oil & Gas Producers (OGP), and is a former chair of the U.S. DOT/FMCSA Medical Review Board.
