Obstetricians and Gynecologists

Provide medical care related to pregnancy or childbirth. Diagnose, treat, and help prevent diseases of women, particularly those affecting the reproductive system. May also provide general care to women. May perform both medical and gynecological surgery functions.

The occupation "Obstetricians and Gynecologists" carries an automation risk of 36.1%, only slightly below the base risk of 36.7%. This suggests that, while some tasks within the role are susceptible to automation, a significant portion of the job still requires complex human involvement. The relatively moderate risk highlights the blend of technical, analytical, and interpersonal demands associated with the profession. Automation technologies—such as advanced diagnostics, electronic health records, and robotic assistance in surgeries—have started to streamline some facets of obstetric and gynecologic care, but major components remain firmly dependent on the practitioner’s expertise and judgment. The three most automatable tasks for obstetricians and gynecologists include treating diseases of female organs, caring for and treating women during prenatal, natal, and postnatal periods, and analyzing records, reports, test results, or examination information to diagnose the patient’s medical condition. These activities are increasingly supported by artificial intelligence and data-driven tools that can process large amounts of information, pattern-match symptoms, and even suggest treatment plans. Automated diagnostic systems, remote patient monitoring, and digital assistants mean routine elements of care and standardized decision-making processes may soon be handled by machines, thus contributing to the higher automation risk for those specific tasks. However, the profession is safeguarded by a set of core responsibilities that are resistant to automation. Notably, tasks such as conducting research to develop or test new medications, treatments, or procedures; preparing government and organizational reports on health statistics; and planning or administering health programs demand a high degree of originality, judgment, and adaptability. These functions frequently require creative problem-solving, nuanced understanding of public health nuances, and the ability to adapt to emerging medical challenges—skills that current automation technologies struggle to replicate. The bottleneck skill of originality, quantified at 3.1%, further underscores the ongoing need for innovation and individualized thinking in this field, limiting the extent to which automation can replace human practitioners.