Cardiovascular Technologists and Technicians

Compare measurements of heart wall thickness and chamber sizes to standard norms to identify abnormalities.

AI: Fully automatable - Automated measurement analysis and comparison to normative databases are already reliable for flagging abnormal heart wall thickness and chamber sizes, so this task can be fully automated.

Observe ultrasound display screen and listen to signals to record vascular information, such as blood pressure, limb volume changes, oxygen saturation, or cerebral circulation.

AI: Fully automatable - AI systems can fully record and interpret ultrasound displays and physiologic signals and automatically log vascular measurements from sensors and imaging outputs.

Monitor patients' blood pressure and heart rate using electrocardiogram (EKG) equipment during diagnostic or therapeutic procedures to notify the physician if something appears wrong.

AI: Fully automatable - Real‑time EKG monitoring, automated arrhythmia detection, and alerting systems are well developed and can reliably monitor vitals and notify physicians when abnormalities appear.

Obtain and record patient identification, medical history, or test results.

AI: Fully automatable - Digital intake systems and AI-driven conversational interfaces can accurately obtain and record patient identification, histories, and test results in routine settings.

Assess cardiac physiology and calculate valve areas from blood flow velocity measurements.

AI: Fully automatable - Assessing cardiac physiology and calculating valve areas from velocity measurements are computational tasks that AI algorithms can perform reliably and are already in clinical use by 2025.

Observe gauges, recorder, and video screens of data analysis system during imaging of cardiovascular system.

AI: Fully automatable - Continuous monitoring and recording of gauges, recorders, and video outputs can be fully automated and augmented by AI anomaly detection and logging systems.

Transcribe, type, and distribute reports of diagnostic procedures for interpretation by physician.

AI: Fully automatable - Speech recognition, NLP summarization, and EHR integration enable fully automated transcription, report generation, and distribution for diagnostic procedures.

Enter factors, such as amount and quality of radiation beam, and filming sequence, into computer.

AI: Fully automatable - AI can automatically extract and record imaging parameters and filming sequences from device telemetry and DICOM metadata, making this task fully automatable.

Perform general administrative tasks, such as scheduling appointments or ordering supplies or equipment.

AI: Fully automatable - Scheduling, order management, and other administrative tasks are already broadly automatable with AI and RPA integrated into clinical workflows.

Conduct electrocardiogram (EKG), phonocardiogram, echocardiogram, stress testing, or other cardiovascular tests to record patients' cardiac activity, using specialized electronic test equipment, recording devices, or laboratory instruments.

AI: Partial - Recording cardiovascular tests (EKG, echo, stress tests) can be substantially automated for data capture and interpretation (e.g., wearables, AI‑guided echo), but full autonomous conduction and safe supervision across all settings is not yet universally achievable by 2025.

Explain testing procedures to patients to obtain cooperation and reduce anxiety.

AI: Partial - Conversational agents and scripted guidance can explain procedures and reduce anxiety in many cases, but they lack the full empathy and real‑time adaptive presence of a human technologist.

Maintain a proper sterile field during surgical procedures.

AI: Partial - AI can monitor and provide guidance (via sensors/AR) but cannot reliably perform or enforce sterile field maintenance and the required dexterous physical tasks autonomously in typical clinical settings by 2025.

Assist surgeons with vascular procedures, such as preparing balloons and stents.

AI: Partial - Robotics and AI can assist with device preparation workflows, but fully autonomous, sterile intraoperative preparation and handoff of balloons/stents is not broadly reliable or approved in 2025.

Assist physicians in the diagnosis and treatment of cardiac or peripheral vascular treatments, such as implanting pacemakers or assisting with balloon angioplasties to treat blood vessel blockages.

AI: Partial - AI can support diagnosis, planning, and provide intraoperative guidance, but cannot autonomously perform or reliably substitute the human assistance required for invasive procedures like pacemaker implantation or angioplasty as of 2025.

Operate diagnostic imaging equipment to produce contrast enhanced radiographs of heart and cardiovascular system.

AI: Partial - AI can automate parameter selection and parts of imaging workflow, but operating complex contrast‑enhanced cardiovascular radiography with full responsibility for patient- and procedure-specific adjustments remains a human task in 2025.

Monitor patients' comfort and safety during tests, alerting physicians to abnormalities or changes in patient responses.

AI: Partial - AI can monitor physiologic signals and use vision/audio models to detect signs of discomfort or safety issues, but nuanced assessment and immediate hands‑on interventions still require human oversight.

Inject contrast medium into patients' blood vessels.

AI: Partial - While power injectors and automated injection protocols exist, AI cannot reliably gain vascular access and perform invasive contrast injections across the range of clinical scenarios without human operators in 2025.

Adjust equipment and controls according to physicians' orders or established protocol.

AI: Partial - Where equipment is networked and digitally controllable, AI can adjust settings per orders or protocols, but many physical or judgmental adjustments still need human intervention.

Conduct tests of pulmonary system, using spirometer or other respiratory testing equipment.

AI: Partial - AI can operate spirometers, coach patients, and interpret results algorithmically, but patient effort validation and certain quality controls still require human oversight, so only partial automation is realistic in 2025.

Activate fluoroscope and camera to produce images used to guide catheter through cardiovascular system.

AI: Partial - AI can control imaging parameters and assist in image acquisition but cannot yet fully replace the human operator responsible for real‑time fluoroscopy control, radiation safety, and catheter guidance in complex cases.

Set up 24-hour Holter and event monitors, scan and interpret tapes, and report results to physicians.

AI: Partial - Automated algorithms can reliably scan, interpret Holter/event recordings, and generate reports, but physical setup of monitors and lead placement still requires human hands or specialized robotics not widely deployed.

Check, test, and maintain cardiology equipment, making minor repairs when necessary, to ensure proper operation.

AI: Partial - AI can perform diagnostics, predictive maintenance, and guide minor fixes, but hands‑on testing and physical repairs generally require human technicians.

Supervise or train other cardiology technologists or students.

AI: Partial - AI can deliver training, assessments, and simulated supervision effectively, but cannot fully replace human supervisors' mentorship, credentialing decisions, and complex interpersonal oversight.

Attach electrodes to the patients' chests, arms, and legs, connect electrodes to leads from the electrocardiogram (EKG) machine, and operate the EKG machine to obtain a reading.

AI: Not automatable - Attaching electrodes and physically operating EKG machines are manual procedures requiring fine motor skills and tactile judgment that are not broadly automatable by AI alone.

Prepare and position patients for testing.

AI: Not automatable - Preparing and positioning patients is a hands‑on physical task requiring manual dexterity, touch, and individual adjustments that AI alone cannot perform in typical clinical environments.