PCC EHR
Software & technology · O*NET
PCC EHR is a software tool tracked in the Medical software category of O*NET's Technology Skills file. It appears in the technology profile of 6 occupations that together employ about 4,589,220 workers, with a median wage of $70,785.
Across the occupations that use it, the work is 56th percentile for AI task-exposure (Moderate) — how much of what those jobs do overlaps with what today's AI can attempt. That measures the exposure of the work, not the value of the tool or any sign it is being replaced. See where every tool category sits →
Occupations that use this tool
Occupations whose O*NET technology profile lists PCC EHR, ranked by employment. Wage and employment are BLS OEWS (national, cross-industry, May 2024) and describe the occupation, not an individual or the tool's own market.
| Occupation | Workers | Median pay |
|---|---|---|
| Registered Nurses | 3,282,010 | $93,600 |
| Medical and Health Services Managers | 565,840 | $117,960 |
| Executive Secretaries and Executive Administrative Assistants | 472,770 | $74,260 |
| Medical Records Specialists | 187,910 | $50,250 |
| Medical Transcriptionists | 43,070 | $37,550 |
| Health Information Technologists and Medical Registrars | 37,620 | $67,310 |
Related tools
Other software in the Medical software category.
- MEDITECH software
- Epic Systems
- eClinicalWorks EHR software
- Medical procedure coding software
- Healthcare common procedure coding system HCPCS
- Medical condition coding software
- Electronic medical record EMR software
- GE Healthcare Centricity EMR
- Bizmatics PrognoCIS EMR
- Practice management software PMS
- Patient electronic medical record EMR software
- Recordkeeping software
- SOAPware EMR
- Allscripts Professional EHR
- Henry Schein Dentrix
- Patient management software
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "PCC EHR." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/software/pcc-ehr
Singulariki. (2026). PCC EHR. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/software/pcc-ehr
@misc{singulariki-pcc-ehr,
title = {PCC EHR},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/software/pcc-ehr}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.