Audiologists

Maintain patient records at all stages, including initial and subsequent evaluation and treatment activities.

AI: Fully automatable - AI can capture, structure, and update patient records from clinical interactions and automate documentation workflows sufficiently to fully automate record maintenance in many settings, with human oversight for governance and error correction.

Instruct patients, parents, teachers, or employers in communication strategies to maximize effective receptive communication.

AI: Fully automatable - AI can generate, personalize, and deliver instructional content, practice exercises, and feedback to patients, parents, teachers, or employers, fully automating much of communication strategy training.

Provide information to the public on hearing or balance topics.

AI: Fully automatable - AI systems in 2025 can generate clear, accessible, evidence-based public information and educational materials on hearing and balance topics.

Engage in marketing activities, such as developing marketing plans, to promote business for private practices.

AI: Fully automatable - AI can create marketing strategies, content, targeting, and analytics to develop and execute marketing plans for private practices.

Administer hearing tests and examine patients to collect information on type and degree of impairment, using specialized instruments and electronic equipment.

AI: Partial - AI can run automated audiometric tests and analyze electronic data but comprehensive examinations using specialized instruments typically require calibrated equipment and human supervision.

Fit, dispense, and repair assistive devices, such as hearing aids.

AI: Partial - AI can program hearing devices, guide fitting remotely, and assist diagnostics, but physical dispensing and hands-on repairs still require skilled technicians.

Evaluate hearing and balance disorders to determine diagnoses and courses of treatment.

AI: Partial - AI can analyze audiograms and vestibular test data and suggest likely diagnoses and treatment options, but cannot fully replace in-person clinical examination and nuanced clinical judgment.

Program and monitor cochlear implants to fit the needs of patients.

AI: Partial - AI-driven mapping and remote optimization tools can program and monitor cochlear implants for many parameters, but hands‑on fitting, behavioral verification, and complex troubleshooting still require clinicians.

Counsel and instruct patients and their families in techniques to improve hearing and communication related to hearing loss.

AI: Partial - AI chatbots and coaching apps can deliver education and communication strategies at scale, yet they lack the full empathy, tailoring, and ethical oversight of human counseling.

Refer patients to additional medical or educational services if needed.

AI: Partial - AI can identify needs and generate referral suggestions and paperwork, but final referral decisions, care coordination, and medico‑legal responsibility remain clinician tasks.

Monitor patients' progress and provide ongoing observation of hearing or balance status.

AI: Partial - AI can continuously analyze patient data and flag changes or trends, enabling automated monitoring support, but ongoing interpretation and management decisions require human oversight.

Educate and supervise audiology students and health care personnel.

AI: Partial - AI can provide teaching materials, simulations, and formative feedback to students and staff, but clinical supervision, assessment of competence, and mentorship still require human educators.

Participate in conferences or training to update or share knowledge of new hearing or balance disorder treatment methods or technologies.

AI: Partial - AI can synthesize literature, generate presentations, and even participate virtually in conferences, but professional networking, accreditation, and nuanced scholarly exchange remain human roles.

Recommend assistive devices according to patients' needs or nature of impairments.

AI: Partial - AI can recommend assistive devices by matching patient profiles to device features and outcomes data, but device trials, fitting, and patient preference judgment need clinician involvement.

Plan and conduct treatment programs for patients' hearing or balance problems, consulting with educators, physicians, nurses, psychologists, speech-language pathologists, and other health care personnel as necessary.

AI: Partial - AI can draft evidence‑based treatment programs and suggest multidisciplinary coordination, but complex individualized treatment planning and interprofessional negotiation require clinician leadership.

Work with multidisciplinary teams to assess and rehabilitate recipients of implanted hearing devices through auditory training and counseling.

AI: Partial - AI can deliver auditory training programs, track progress, and support team communication, yet comprehensive rehabilitation and nuanced counseling within multidisciplinary teams still depend on human clinicians.

Advise educators or other medical staff on hearing or balance topics.

AI: Partial - AI can generate evidence-based guidance and educational materials but lacks clinical accountability and contextual judgment to fully replace a human audiologist.

Perform administrative tasks, such as managing office functions and finances.

AI: Partial - AI can automate scheduling, billing, and many office workflows but cannot fully assume complex financial decision-making, legal responsibility, or nuanced personnel management.

Measure noise levels in workplaces and conduct hearing conservation programs in industry, military, schools, and communities.

AI: Partial - AI can analyze sensor data, model exposures, and support hearing-conservation programs remotely, but on-site noise measurement and implementation require physical instrumentation and human coordination.

Develop and supervise hearing screening programs.

AI: Partial - AI can design screening protocols, manage data and quality metrics, and support remote oversight, but cannot assume legal responsibility or perform all on-site supervisory tasks.

Conduct or direct research on hearing or balance topics and report findings to help in the development of procedures, technology, or treatments.

AI: Partial - AI can design experiments, analyze data, and draft reports, but cannot fully direct human-subject research, perform hands-on experiments, or hold regulatory responsibility.

Examine and clean patients' ear canals.

AI: Not automatable - Examining and cleaning ear canals requires hands-on manual skills and clinical judgment that AI cannot perform.