Healthcare diagnosing or treating practitioners, all other
SOC Code: 29-1299
Healthcare diagnosing or treating practitioners, all other carries a 16% AI exposure score (Low automation risk), with a median annual wage of $113,730 and +2.0% projected employment growth from 2024 to 2034 (BLS), affecting approximately 41,300 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Healthcare diagnosing or treating practitioners, all other (SOC 29-1299) carries an AI exposure score of 16%, placing it in the Low automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The economic context matters alongside the risk score. BLS counted approximately 41,300 workers in this occupation in 2024, and projects a +2.0% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $113,730, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Master's degree, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Healthcare diagnosing or treating practitioners, all other. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Document patients' histories, including identifying data, chief complaints, illnesses, previous medical or family histories, or psychosocial characteristics.
- 2. Examine patients with problems related to ocular motility, binocular vision, amblyopia, or strabismus.
- 3. Evaluate, diagnose, or treat disorders of the visual system with an emphasis on binocular vision or abnormal eye movements.
- 4. Provide instructions to patients or family members concerning diagnoses or treatment plans.
- 5. Perform diagnostic tests or measurements, such as motor testing, visual acuity testing, lensometry, retinoscopy, and color vision testing.
- 6. Provide nonsurgical interventions, including corrective lenses, patches, drops, fusion exercises, or stereograms, to treat conditions such as strabismus, heterophoria, and convergence insufficiency.
- 7. Educate patients about health care management.
- 8. Advise patients about therapeutic exercise and nutritional medicine regimens.
- 9. Conduct physical examinations and physiological function tests for diagnostic purposes.
- 10. Administer, dispense, or prescribe natural medicines, such as food or botanical extracts, herbs, dietary supplements, vitamins, nutraceuticals, and amino acids.
Key Skills Required
- Active Listening
- Critical Thinking
- Speaking
- Social Perceptiveness
- Reading Comprehension
- Science
- Writing
- Service Orientation
- Complex Problem Solving
- Judgment and Decision Making
Knowledge Areas
- Medicine and Dentistry
- English Language
- Customer and Personal Service
- Education and Training
- Psychology
- Biology
- Therapy and Counseling
- Mathematics
- Administrative
- Physics
Frequently Asked Questions
Will AI replace Healthcare diagnosing or treating practitioners, all other?
Healthcare diagnosing or treating practitioners, all other has an AI exposure score of 16%, indicating a low level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Healthcare diagnosing or treating practitioners, all other?
According to BLS Employment Projections 2024-2034, Healthcare diagnosing or treating practitioners, all other is projected to grow by 2.0% over the decade. Current employment stands at approximately 41,300 workers.
What skills are needed for Healthcare diagnosing or treating practitioners, all other?
Key skills for Healthcare diagnosing or treating practitioners, all other include Active Listening, Critical Thinking, Speaking, and others. Typical entry-level education is Master's degree.
How much do Healthcare diagnosing or treating practitioners, all other earn?
The median annual wage for Healthcare diagnosing or treating practitioners, all other is $113,730, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Healthcare diagnosing or treating practitioners, all other?
The typical entry-level education for Healthcare diagnosing or treating practitioners, all other is Master's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Healthcare diagnosing or treating practitioners, all other?
Healthcare diagnosing or treating practitioners, all other roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Low automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Related Occupations
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).