Lower Risk

Healthcare

Cancer Registrar

AI is poised to impact Cancer Registrars primarily through advancements in natural language processing (NLP) and machine learning (ML). NLP can automate the extraction of relevant information from medical records, while ML algorithms can assist in data analysis and reporting. Computer vision may also play a role in analyzing pathology reports and imaging data.

Top risks:

Abstracting and coding cancer cases from medical records60%
Ensuring data quality and accuracy through audits and reviews40%
Following up on cancer cases to obtain updated information30%

Healthcare

Medical Records Technician

AI is poised to significantly impact Medical Records Technicians by automating data entry, coding, and information retrieval tasks. Natural Language Processing (NLP) and Optical Character Recognition (OCR) technologies will streamline the processing of medical documents, while AI-powered coding systems will assist in assigning accurate diagnostic and procedural codes. This will lead to increased efficiency and reduced administrative burden, but also potential job displacement for those primarily focused on routine tasks.

Top risks:

Reviewing medical records for completeness, accuracy, and compliance40%
Entering patient information into electronic health records (EHR) systems80%
Assigning diagnostic and procedural codes using ICD and CPT coding systems70%

Side-by-Side Metrics

Metric	Cancer Registrar	Medical Records Technician
Risk Score	69%	75%
Risk Level	High Risk	Critical Risk
Timeline	5-10 years	2-5 years
Category	Healthcare	Healthcare
Tasks at Risk	7 tasks	7 tasks
Skills at Risk	4 skills	4 skills
Safe Skills	5 skills	6 skills

Risk Comparison

Cancer Registrar69%

Medical Records Technician75%

Cancer Registrar has 6 percentage points lower risk than Medical Records Technician.

Tasks at Risk

Cancer Registrar Tasks at Risk

Abstracting and coding cancer cases from medical records60%

5-10 years

Ensuring data quality and accuracy through audits and reviews40%

5-10 years

Following up on cancer cases to obtain updated information30%

10+ years

Preparing and submitting data to state and national cancer registries70%

2-5 years

Analyzing cancer incidence and survival data to identify trends50%

5-10 years

Medical Records Technician Tasks at Risk

Reviewing medical records for completeness, accuracy, and compliance40%

5-10 years

Entering patient information into electronic health records (EHR) systems80%

1-3 years

Assigning diagnostic and procedural codes using ICD and CPT coding systems70%

1-3 years

Releasing medical information to authorized individuals or entities60%

5-10 years

Maintaining patient confidentiality and security of medical records30%

10+ years

Skills Comparison

Shared AI-Resistant Skills(valuable in both careers)

Critical thinkingCommunicationEthical judgmentComplex problem-solving

Cancer Registrar -- Safe Skills

Critical thinkingCommunicationCollaborationEthical judgmentComplex problem-solving

Cancer Registrar -- Skills at Risk

Data abstractionCodingData entryReport generation

Medical Records Technician -- Safe Skills

Critical thinkingComplex problem-solvingCommunicationEthical judgmentInterpersonal skillsMaintaining patient confidentiality

Medical Records Technician -- Skills at Risk

Data entryMedical codingInformation retrievalReport generation

Shared Vulnerable Skills(at risk in both careers)

Data entryReport generation

Recommendations