Obstetricians and Gynecologists
Scrub through 230years of this role's history, from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.
The tools that defined the work
Select an era to see how it reshaped the work.
Pre-anesthesia surgical obstetrics (manual and instrument delivery)
Before 1847, all obstetric and gynecologic procedures were conducted without anesthesia: forceps deliveries, craniotomies, and vesicovaginal fistula repairs were performed on fully conscious patients. Surgeons competed on speed rather than technique. The OB-GYN's tools were their hands, Chamberlen obstetric forceps (introduced covertly in the 1600s but not published until 1733), and a small kit of specula, probes, and cauteries. Pain constrained both patient tolerance and operative scope. J. Marion Sims's early fistula repair work in the 1840s was done without anesthesia on enslaved women who could not refuse.
Work toolChanging equipment Ether and chloroform anesthesia (obstetric and gynecologic surgery era)
Ether was first used in surgery at Massachusetts General Hospital in October 1846. By early 1847, James Young Simpson in Edinburgh had introduced chloroform for obstetric pain relief, delivering a child painlessly for the first time in a clinical setting. Queen Victoria's use of chloroform for the birth of Prince Leopold in 1853 gave the practice social legitimacy among the upper classes. Anesthesia transformed gynecologic surgery from a race against patient agony into a deliberate discipline: surgeons could now complete complex operations that would have been impossible on a screaming, writhing patient. Sims's fistula repair, reimagined with anesthesia, became the founding demonstration of modern reconstructive gynecologic surgery.
Effect on the workAnesthesia expanded surgical scope dramatically, enabling the development of abdominal hysterectomy, oophorectomy, and complex obstetric procedures that required unhurried technique. This shift elevated the OB-GYN from a practitioner who managed complications to a surgeon who could intervene electively.
Work toolChanging equipment Aseptic hospital surgery and the medicalization of childbirth
Joseph Lister's antiseptic principles reached American obstetric practice in the 1880s. Combined with advances in surgical anesthesia and the post-Flexner reform of American medical education, the result was a rapid shift of childbirth from home to hospital between 1900 and 1940. In 1900, fewer than 10% of US births occurred in hospitals; by 1940, hospital births had crossed 55% overall (and 88% of white births). The influential obstetrician Joseph DeLee promoted aggressive intervention as the surgical norm for childbirth, and by the 1920s and 1930s the hospital delivery room equipped with sterile instruments, episiotomy scissors, forceps, and trained OB-GYN staff had become the aspirational standard of care. This transformation created the institutional demand that drove specialty growth from roughly 3,500 OB-GYN specialists in 1930 to thousands more by 1940.
Effect on the workHospitalization of birth removed the midwife from the majority of deliveries and placed the OB-GYN at the center of American maternity care. The 1910 Flexner Report recommended abolition of lay midwifery. By 1980, midwives attended only 1.1% of US births, a near-complete displacement accomplished over a 60-year period.
Work toolChanging equipment Penicillin, blood banking, and the postwar OB-GYN expansion
Penicillin became available for US hospitals in 1943 and dramatically reduced maternal and neonatal mortality from puerperal sepsis, which had been one of the leading killers of laboring women throughout medical history. Combined with Rh factor blood typing (1940) and the development of modern blood banking, the postwar period transformed OB-GYN from a specialty that managed inevitable death into one that largely prevented it. Maternal mortality fell from approximately 376 per 100,000 live births in 1940 to 37 per 100,000 by 1960 and 21 by 1970, one of the steepest declines in any clinical mortality measure in US history. This clinical success drove public confidence in hospital birth, accelerated the growth of the specialty, and set the cultural expectation that OB-GYN could and should ensure safe delivery for any pregnancy.
Effect on the workThe postwar demographic boom (1946-1964) produced a surge in demand for obstetric care that required rapid expansion of OB-GYN training programs and residency slots. Specialty membership grew from roughly 8,000 in 1951 to an estimated 20,000+ by the late 1960s.
Paper chartClinical notes Electronic fetal monitoring and obstetric ultrasound (continuous surveillance era)
Electronic fetal monitoring (EFM) was introduced in the 1960s as a way to continuously track fetal heart rate and uterine contractions during labor, replacing intermittent auscultation with a stethoscope. By the late 1970s, EFM had become standard on US labor and delivery units. The technology transformed the OB-GYN's role during labor from periodic bedside attendant to monitor reader and clinical interpreter of electronic tracings. Simultaneously, diagnostic ultrasound moved from experimental to clinical standard: real-time B-mode scanners appeared in the early 1970s, and by 1980 fetal anatomy survey ultrasound was an expected component of prenatal care. The combination of EFM and ultrasound created a vastly more information-rich clinical picture of pregnancy and labor but also drove a sharp rise in C-section rates (from 5% in 1970 to 24.7% by 1988) as OB-GYNs intervened on EFM readings that retrospective review would later show were often non-alarming.
Effect on the workEFM and ultrasound doubled the informational workload of the OB-GYN during labor and the prenatal period without eliminating any existing task, adding new layers of interpretation, documentation, and litigation exposure on top of existing clinical work. The C-section rate spike also increased surgical volume per OB-GYN, changing the specialty's workday profile.
Bedside monitoringVitals at a glance Laparoscopic surgery, da Vinci robot, and minimally invasive gynecology
Laparoscopic surgery came to gynecology in the 1970s for diagnostic procedures (sterilization, tubal ligation) and expanded through the 1980s and 1990s to include laparoscopic hysterectomy, myomectomy, treatment of endometriosis, and ovarian cystectomy. The Intuitive Surgical da Vinci robotic system received FDA clearance for general laparoscopic surgery in 2000 and for gynecologic procedures in 2005. By the early 2010s, robotic-assisted gynecologic surgery had become standard at academic and large-community hospitals, reducing hospital stay for major gynecologic surgery from 3-5 days to 1-2 days and improving patient recovery curves. The shift required OB-GYNs to acquire new technical credentialing (AAGL, robotic surgeon training programs) and changed the subspecialty landscape, with minimally invasive gynecologic surgery (MIGS) emerging as a separate fellowship track by the 2010s.
Effect on the workMinimally invasive surgery expanded surgical volume per OB-GYN by reducing recovery time and patient reluctance: procedures that patients previously avoided due to the recovery burden of open surgery became more acceptable. Da Vinci adoption also concentrated complex gynecologic surgery at high-volume credentialed centers, creating a two-tier geographic distribution of advanced surgical capability.
Work toolChanging equipment EHR, CPOE, and the administrative burden era (Epic, Cerner)
The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 accelerated adoption of electronic health records across US hospitals and practices. By 2015, more than 80% of US hospitals and physician practices had adopted a certified EHR. For OB-GYNs, the transition meant converting prenatal flowsheets, labor and delivery documentation, operative notes, and gynecologic visit records into structured electronic formats within systems designed primarily for general medicine. The documentation burden increased substantially: studies across specialties found physicians spending more time in EHR than with patients. For OB-GYNs, the L&D unit's real-time urgency made EHR documentation an especially acute pain point: attending to the EHR during active labor was not clinically feasible, driving widespread use of scribes (human and later AI) and after-hours note completion.
Effect on the workEHR adoption contributed to what ACOG and AMA surveys consistently identified as the leading driver of OB-GYN burnout and early retirement: administrative documentation time. The ambient AI scribe wave of 2023-2026 is specifically a correction to the administrative burden created by EHR mandates.
Electronic recordDigital charting cfDNA non-invasive prenatal testing (NIPT) and genomic prenatal medicine
Cell-free DNA (cfDNA) non-invasive prenatal testing entered clinical practice with the launch of Natera Panorama in 2013, offering detection of trisomy 21, 18, and 13 from maternal blood as early as 10 weeks gestation. By 2018, ACOG recommended offering cfDNA screening to all pregnant patients regardless of risk. NIPT transformed prenatal care by shifting the first-tier screening tool from serum markers and nuchal translucency ultrasound to a highly sensitive genomic test with AI-interpreted risk scores. The OB-GYN's role shifted: less time counseling on the limitations of older biochemical screens, more time interpreting AI-generated cfDNA risk reports and counseling patients on next steps, including decisions about diagnostic testing (CVS or amniocentesis) for positive screens. cfDNA brought genomic medicine into routine prenatal care and required OB-GYNs to develop genetic counseling fluency as a new core competency.
Effect on the workcfDNA expanded the prenatal care workload rather than compressing it: each positive or atypical result generates a counseling conversation and, often, a diagnostic procedure referral. The net effect was increased complexity and cognitive demand per prenatal visit for screen-positive results.
Work toolChanging equipment AI ambient scribes, fetal monitoring AI, and ultrasound automation (current era)
Beginning around 2022-2023, three distinct AI tool categories converged on OB-GYN practice simultaneously. First: ambient documentation AI (Microsoft Dragon Copilot, Abridge, Suki) that listens to physician-patient conversations and generates structured clinical notes, reducing documentation time by roughly 60-70% per published trials. Second: AI fetal ultrasound automation (GE SonoLyst, Samsung BiometryAssist, Philips Smart Fetal Heart) that automates biometry measurement and standard-plane capture, reducing anatomy scan time by approximately 30% per GE Healthcare data. Third: AI labor surveillance (PeriGen PeriWatch, deployed at 500+ US labor and delivery units) that continuously monitors fetal heart rate tracings and alerts clinicians to non-reassuring patterns on busy multi-patient units. The ACOG's 2023 Committee Opinion on AI in Obstetrics reaffirmed that all three categories are clinical decision support tools, not autonomous agents: the OB-GYN retains full clinical responsibility, prescribing authority, and malpractice liability for every decision regardless of AI involvement. The net effect of this wave is augmentation: AI absorbs the most repetitive cognitive and documentation work, extending physician capacity in a specialty already facing a significant workforce shortage.
Effect on the workACOG projects a shortage of 12,000 to 22,000 OB-GYNs by 2050. AI augmentation is explicitly being positioned as a reach-extension technology in that context: the same number of physicians can manage a larger patient panel when AI handles documentation, biometry measurement, and fetal monitoring vigilance across multiple simultaneous patients.
Bedside monitoringVitals at a glance
What credible sources project
Scrub the slider past now to anchor each scenario on the scrubber. The spread is the range of futures credible sources project for this role.
What's shifting in the work right now
The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.
What's changing in your day
Three parts of your work where AI is already doing real lifting, and what stays yours.
AI is sitting alongside you hereConduct and interpret AI-assisted second-trimester fetal anatomy ultrasound — reviewing AI-automated biometry measurements (BPD, HC, AC, FL) generated by GE SonoLyst or Samsung BiometryAssist, confirming or correcting auto-measured values, evaluating standard-plane image quality, and personally interpreting fetal anatomy survey findings for counseling and documentation
Conduct and interpret AI-assisted second-trimester fetal anatomy ultrasound — reviewing AI-automated biometry measurements (BPD, HC, AC, FL) generated by GE SonoLyst or Samsung BiometryAssist, confirming or correcting auto-measured values, evaluating standard-plane image quality, and personally interpreting fetal anatomy survey findings for counseling and documentation. The OB-GYN shifts time from the manual caliper-placement and measurement mechanics (which AI automates) to fetal anatomy interpretation, soft marker assessment, and patient counseling on findings.[10],[11],[12],[1]
GE SonoLyst and Samsung BiometryAssist reduce anatomy scan time by ~30% by automating biometry measurement — but the OB-GYN's interpretive role is not automated: evaluating the soft marker constellation (choroid plexus cysts + other markers vs. isolated findings), assessing fetal cardiac anatomy on five standard planes, and integrating cfDNA/NIPT results with ultrasound findings all require physician interpretation. Stay current on ISUOG and ACOG anatomy scan guidelines, and develop active quality-review workflows for AI-measured values — AI biometry tools produce occasional systematic errors (e.g., HC measurement on non-circular sections) that require physician catch.
AI is sitting alongside you hereConduct routine prenatal care visits — performing serial fundal height measurements, reviewing AI-processed biometric growth scans for fetal growth restriction (EFW percentile trends), interpreting non-stress test (NST) results including HeraMED home fetal monitoring data for high-risk patients, managing prenatal laboratory results (glucose tolerance test, Group B Strep culture, anemia workup), and documenting encounters via ambient scribe (Dragon Copilot, Abridge) that generates the prenatal visit note from the physician-patient conversation.
Conduct routine prenatal care visits — performing serial fundal height measurements, reviewing AI-processed biometric growth scans for fetal growth restriction (EFW percentile trends), interpreting non-stress test (NST) results including HeraMED home fetal monitoring data for high-risk patients, managing prenatal laboratory results (glucose tolerance test, Group B Strep culture, anemia workup), and documenting encounters via ambient scribe (Dragon Copilot, Abridge) that generates the prenatal visit note from the physician-patient conversation.[13],[7],[1]
The JAMA 2025 RCT found ambient scribes reduced after-hours documentation by 62%. In OB practice, prenatal visit notes multiply across a typical panel of 80-150 active obstetric patients — the documentation burden is disproportionate to visit complexity for routine visits. HeraMED's remote NST capability for high-risk patients (IUGR, GDM, pre-eclampsia) allows more frequent fetal surveillance without requiring in-office visits, extending your monitoring reach. The interpretive value-add in prenatal care — growth scan trend integration, pattern recognition across serial visits, individualized counseling on birth planning, mode of delivery discussion — is entirely physician-led and cannot be automated.
AI is sitting alongside you herePerform colposcopy and interpret cervical cancer screening results — reviewing Hologic Genius AI-prioritized abnormal Pap/ThinPrep slides for ASC-US, LSIL, HSIL, or glandular abnormalities
Perform colposcopy and interpret cervical cancer screening results — reviewing Hologic Genius AI-prioritized abnormal Pap/ThinPrep slides for ASC-US, LSIL, HSIL, or glandular abnormalities; applying ASCCP 2019 risk-based management guidelines to stratify patients for colposcopy vs. repeat cytology vs. immediate excision; performing colposcopy with Mobile ODT EVA System AI lesion highlighting when available; and conducting LEEP or cervical biopsy under colposcopic guidance.[14],[15]
Hologic Genius AI improves the sensitivity of ThinPrep cytology by prioritizing the most abnormal-appearing slides for cytotechnologist and physician review — reducing false-negative rates in high-volume screening programs. Your irreplaceable role is ASCCP risk-based management decision-making: applying the 2019 guidelines that integrate cytology result + HPV co-test result + prior screening history + patient age + immunosuppression status to individualize management. A 32-year-old with HSIL and a positive HPV 16/18 co-test is managed differently from a 55-year-old with the same cytology result and a prior CIN1 history — that integration is physician judgment. Maintain ASCCP colposcopy credentialing.
Where this role is heading
Natural next steps for someone with your foundation: not exits, evolutions.
Computer and Information Systems Managers
OB-GYNs who develop depth in clinical informatics, AI evaluation for obstetric tools, and EHR systems gain access to CMIO, VP of Clinical Informatics, and medical director of digital health roles. OB-GYN is one of the highest-AI-density clinical environments in the hospital — fetal monitoring AI, ultrasound automation, NIPT interpretation algorithms, and ambient scribes are all being validated and deployed simultaneously. An OB-GYN-trained CMIO brings direct operational understanding of where these tools succeed and fail clinically, which is the scarce expertise health systems need. AMIA biomedical informatics certification and Epic EpicCare Ambulatory or Inpatient build knowledge are the primary credential accelerators. CMIO base salaries range from $280,000–$420,000 at health systems.
- · Health informatics credentials: AMIA 10x10 certificate or Master of Biomedical Informatics; ABPM Clinical Informatics board certification (fellowship pathway)
- · Clinical AI evaluation methodology: validation study design, sensitivity/specificity analysis for obstetric AI tools (fetal monitoring alert precision, NIPT risk score calibration)
- · EHR platform expertise: Epic EpicCare Inpatient and Ambulatory build knowledge; OB module configuration (prenatal flowsheet, L&D event documentation, postpartum care protocols)
- · HL7 FHIR and health data exchange: maternal-fetal data standards (HL7 Women's Health Working Group), NIPT data integration pipelines, remote monitoring device HL7 connectivity
- · Population health analytics: maternal outcomes dashboards, racial equity in obstetric outcomes analysis, postpartum follow-up rate reporting
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