Healthcare workflow automation is the software job: which repetitive steps you take off humans (scheduling, billing, documentation, meds, labs), whether you automate a slice or the whole path, and how you pick a vendor without losing clinical buy-in. It is not Lean/Six Sigma, and it is not radiology-specific routing.
If you meant radiology workflow (PACS/RIS, image routing, interruptions) → radiology workflow optimization. If you meant process methods (Lean / Six Sigma / PDSA) → healthcare process improvement. If you meant ops efficiency (ALOS, OR, discharge KPIs) → operational efficiency in healthcare.
This page is ONC’s health-IT automation priorities, partial vs comprehensive, what to automate first, and vendor / change management. PYCAD is not a workflow-automation product.
ONC, and why a single bot is not a programme
The Office of the National Coordinator for Health Information Technology (ONC) has treated workflow automation as a health-IT priority: take repetitive data entry and documentation off clinicians so the record is complete without the clerk-work. That is policy cover, not a shopping list.
Partial automation — intake is digital, everything after it is still paper and fax — creates a new bottleneck at the handoff. Comprehensive means scheduling through billing is one system of record, with humans on exceptions. Most shops start partial. The failure mode is declaring victory after the first bot.
What to automate first
Score each candidate on implementation complexity vs patient / cash impact. Do the low-complexity, high-impact work first. Adoption rates you see on vendor blogs are usually unsourced; ignore the percentages and keep the order.
| Workflow | Complexity | Why it is usually early | Watch |
|---|---|---|---|
| Appointment scheduling / reminders | Low | No-shows and idle slots are measurable in a month | Does not fix a broken template |
| Registration | Low | Same demographics typed three times | Identity / MPI errors propagate |
| Billing and claims | Medium | Denials and rework are cash, not vibes | Bad codes in, faster bad claims out |
| Medication management | Medium | Safety, not just speed | Needs pharmacy + EHR, not a sidecar |
| Lab order / result | Medium | TAT and missed results | Interface to the analyser, not a PDF dump |
| Referral coordination | High | Delays sit between organisations | Do not start here |
Claims automation can cut a lot of manual keying when the code set is clean. Treat any “$X billion industry savings” slide as marketing unless it cites CMS or a named study you can open.
Vendor, buy-in, KPIs
Pick a vendor that already lives in healthcare workflows (EHR, RCM, scheduling), not a generic RPA shop that will “learn your process.” Ask for: healthcare references, integration with the EHR you actually run, and support after go-live. Scale later; a clinic and an IDN are different implementations.
Clinical buy-in is not a town hall. Involve the people who do the work in the design, show the hours it takes off their day, train before flip, and keep a human override. Champions beat mandates. KPIs worth tracking: admin minutes per encounter, denial rate, error rate on the automated step, patient wait, and whether the exception queue is shrinking or just hidden.
This page already owns /blog/healthcare-workflow/. Leave that stub here.
PYCAD builds custom web DICOM viewers and medical-imaging AI — a connector / imaging stack, not a hospital workflow-automation suite. Case studies.