69
/100

SOC 29-2072

Medical Records Specialists

High RiskFrey/Osborne: 91.0%

Risk Score

โš ๏ธ

69/100

High Risk

US Employment

๐Ÿ‘ฅ

187,910

Total workers

Median Wage

๐Ÿ’ฐ

$50K

$36K โ€“ $81K

Projected Growth

๐Ÿ“ˆ

+7.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

79/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Medical Records Specialists face a risk score of 69/100 โ€” 25 points above the national average of 44. With 79/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $50K ($4K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 69/100, Medical Records Specialists faces moderate automation pressure. While tasks like ai clinical decision-support tools guiding treatment are increasingly handled by AI, the role retains significant human elements. The 187,910 workers in this occupation should focus on strengthening skills in empathetic patient communication and bedside manner and complex clinical judgment in ambiguous presentations to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Medical Records Specialists?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI clinical decision-support tools guiding treatment

2

AI-assisted diagnostic imaging reducing radiologist workload

3

AI coding assistants reducing developer demand

4

Generative AI producing marketing and creative copy

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Empathetic patient communication and bedside manner

โœ“

Complex clinical judgment in ambiguous presentations

โœ“

Ethical decision-making in end-of-life situations

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.

โ€ข

Compile and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts.

โ€ข

Consult classification manuals to locate information about disease processes.

โ€ข

Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer.

โ€ข

Identify, compile, abstract, and code patient data, using standard classification systems.

๐Ÿ’ป Technology Skills

โ€ข

Categorization or classification software

โ€ข

Medical software

โ€ข

Accounting software

โ€ข

Information retrieval or search software

โ€ข

Office suite software

๐Ÿ“Š vs National Average

Median Wage$50K
+$4K

National avg: $46K

Risk Score69/100
+25

National avg: 44/100

GenAI Exposure79/100
+41

National avg: 38/100

Projected Growth7.1%
+3.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K82%
Occupational Therapists28$98K82%
Orthotists and Prosthetists28$78K82%