AI exposure: Health Information Technologists and Medical Registrars
Apply knowledge of healthcare and information systems to assist in the design, development, and continued modification and analysis of computerized healthcare systems. Abstract, collect, and analyze treatment and followup information of patients. May educate staff and assist in problem solving to promote the implementation of the healthcare information system. May design, develop, test, and implement databases with complete history, diagnosis, treatment, and health status to help monitor diseases.
Reading this score
computed47.0% of this occupation's weighted task load is exposed, which puts Health Information Technologists and Medical Registrars at the 85th percentile of 923 occupations. The capability is largely there. Its average task scores 3.0 out of 4 on what a current system can produce, and the frictions that hold other jobs in place are comparatively weak here.
What holds the line here is context. Across this occupation's 16 tasks it averages 1.89 out of 3, the highest of the five friction dimensions. In plain terms, the work depends on knowledge the model cannot hold. Much of this job runs on things that were never written down: what this particular organisation does, what happened last week, what the person across the table actually meant. That context is the barrier, and it erodes as systems are given more access.
The most exposed thing this job does is Assign the patient to diagnosis-related groups (DRGs), at 73.3%. The least is Train medical records staff, at 8.3%. A gap of 65.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within healthcare practitioner and technical occupations, this one is more exposed than most. The median across the 89 roles in the group is 18.4%, and only 1 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 16 tasks, 12 are currently banded exposed, 1 assisted and 3 untouched. For that distribution to shift materially would take cheaper ways to verify output, since the cost of checking is currently doing more to hold this work in place than the cost of producing it. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Task by task
16 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. | 73.3% | 26.7% | 0.0% | – | exposed |
| Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds. | 73.3% | 26.7% | 0.0% | – | exposed |
| Design databases to support healthcare applications, ensuring security, performance and reliability. | 73.3% | 26.7% | 0.0% | – | exposed |
| Write or maintain archived procedures, procedural codes, or queries for applications. | 73.3% | 26.7% | 0.0% | – | exposed |
| Develop in-service educational materials. | 60.0% | 40.0% | 0.0% | – | exposed |
| Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information. | 60.0% | 40.0% | 0.0% | – | exposed |
| Monitor changes in legislation and accreditation standards that affect information security or privacy in the computerized healthcare system. | 55.4% | 32.1% | 12.5% | – | exposed |
| Facilitate and promote activities, such as lunches, seminars, or tours, to foster healthcare information privacy or security awareness within the organization. | 50.0% | 25.0% | 25.0% | – | exposed |
| Identify, compile, abstract, and code patient data, using standard classification systems. | 47.5% | 27.5% | 25.0% | – | exposed |
| Evaluate and recommend upgrades or improvements to existing computerized healthcare systems. | 45.9% | 20.7% | 33.3% | – | exposed |
| Resolve or clarify codes or diagnoses with conflicting, missing, or unclear information by consulting with doctors or others or by participating in the coding team's regular meetings. | 45.0% | 30.0% | 25.0% | – | exposed |
| Retrieve patient medical records for physicians, technicians, or other medical personnel. | 40.0% | 35.0% | 25.0% | – | exposed |
| Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users. | 23.3% | 26.7% | 50.0% | – | assisted |
| Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department. | 12.5% | 25.0% | 62.5% | – | untouched |
| Protect the security of medical records to ensure that confidentiality is maintained. | 10.0% | 15.0% | 75.0% | – | untouched |
| Train medical records staff. | 8.3% | 16.7% | 75.0% | – | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean. 16 task(s) lacked a usable O*NET weight and are shown but excluded from the weighting.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 2.98 | 0-4 |
| Embodiment | 0.60 | 0-3 |
| Presence | 0.94 | 0-3 |
| Accountability | 1.22 | 0-3 |
| Context | 1.89 | 0-3 |
| Verification cost | 1.52 | 0-3 |
What this means in practice
Where most of a role's weighted task load is exposed, the work that survives is usually the part of the job nobody wrote into the job description: deciding what should be produced rather than producing it, and being answerable for the result. The tasks lowest on this page are a better guide to where to spend your time than any general advice about the future of work.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.