9 September 2026, 06:37 PM
Healthcare organizations often begin exploring RPA after identifying a simple problem: employees spend too much time performing repetitive tasks.
A billing employee might repeatedly check claim statuses. A patient-access team might enter insurance information into multiple systems. An administrative employee might download reports and manually transfer information into another application.
RPA can reduce this repetitive workload, but successful implementation depends heavily on choosing the right technology partner.
1. Define What You Want to Automate
Start by documenting the workflow.
Don't simply tell an RPA company:
"We want to automate healthcare operations."
Instead, document the actual process.
For example:
Patient information received → eligibility portal → insurance verification → result captured → EHR updated → employee notified
This gives the vendor something concrete to evaluate.
2. Determine Whether RPA Is Actually Appropriate
This step is frequently overlooked.
RPA works particularly well when a process is repetitive, rule-based, predictable, and involves structured digital systems.
It may be less suitable when the workflow requires complex clinical judgment or changes constantly.
Healthcare organizations should therefore ask potential providers to explain why RPA is appropriate for each proposed workflow.
NHS England's current guidance specifically includes identifying opportunities for RPA while also recognizing where RPA cannot or should not be used.
3. Assess Healthcare Domain Expertise
A healthcare RPA partner should understand the environment it is automating.
For example, if you want to automate revenue cycle management, the vendor should understand claims, denials, payer interactions, billing workflows, and reimbursement processes.
If you're automating patient administration, it should understand scheduling, registration, eligibility, and patient data.
4. Verify EHR Experience
Ask:
"Have you integrated with our EHR before?"
Then ask:
"How did you integrate with it?"
The answer matters.
Sometimes an API or FHIR connection is more sustainable than screen-based automation. In other situations, RPA may be useful because an older application doesn't expose an appropriate API.
A capable provider should be able to explain the trade-offs.
5. Examine Security Architecture
Healthcare RPA isn't simply about making bots perform tasks.
Those bots may have access to sensitive systems.
Review:
6. Ask for Evidence, Not Promises
Don't be impressed by:
"We've automated thousands of processes."
Ask:
"How many healthcare processes have you taken into production?"
Then ask what happened afterward.
Did processing time decrease?
Did error rates fall?
How many exceptions occurred?
How was the automation maintained?
Real-world results are much more useful than a product demonstration.
7. Understand Their Maintenance Model
RPA bots can break when the systems they interact with change.
A payer may redesign its portal.
An EHR may receive an update.
A login process may change.
A document format may be modified.
Ask:
Healthcare organizations shouldn't assume that automation means removing humans from every process.
Instead, the best architecture may combine:
Automation → exception detection → human review → automated continuation
This allows the bot to handle predictable work while employees manage cases that require judgment.
9. Compare Total Cost of Ownership
Your evaluation should include more than the initial development quote.
Look at:
10. Start With a Controlled Pilot
Choose one workflow with measurable results.
If your team currently spends 1,000 hours per month on a repetitive administrative process, measure how much automation could realistically reduce that workload.
This provides a much stronger business case than simply estimating "potential efficiency."
A billing employee might repeatedly check claim statuses. A patient-access team might enter insurance information into multiple systems. An administrative employee might download reports and manually transfer information into another application.
RPA can reduce this repetitive workload, but successful implementation depends heavily on choosing the right technology partner.
1. Define What You Want to Automate
Start by documenting the workflow.
Don't simply tell an RPA company:
"We want to automate healthcare operations."
Instead, document the actual process.
For example:
Patient information received → eligibility portal → insurance verification → result captured → EHR updated → employee notified
This gives the vendor something concrete to evaluate.
2. Determine Whether RPA Is Actually Appropriate
This step is frequently overlooked.
RPA works particularly well when a process is repetitive, rule-based, predictable, and involves structured digital systems.
It may be less suitable when the workflow requires complex clinical judgment or changes constantly.
Healthcare organizations should therefore ask potential providers to explain why RPA is appropriate for each proposed workflow.
NHS England's current guidance specifically includes identifying opportunities for RPA while also recognizing where RPA cannot or should not be used.
3. Assess Healthcare Domain Expertise
A healthcare RPA partner should understand the environment it is automating.
For example, if you want to automate revenue cycle management, the vendor should understand claims, denials, payer interactions, billing workflows, and reimbursement processes.
If you're automating patient administration, it should understand scheduling, registration, eligibility, and patient data.
4. Verify EHR Experience
Ask:
"Have you integrated with our EHR before?"
Then ask:
"How did you integrate with it?"
The answer matters.
Sometimes an API or FHIR connection is more sustainable than screen-based automation. In other situations, RPA may be useful because an older application doesn't expose an appropriate API.
A capable provider should be able to explain the trade-offs.
5. Examine Security Architecture
Healthcare RPA isn't simply about making bots perform tasks.
Those bots may have access to sensitive systems.
Review:
- Authentication
- Credential management
- Encryption
- Access controls
- Logging
- Monitoring
- Data retention
- Vendor access
- Incident response
6. Ask for Evidence, Not Promises
Don't be impressed by:
"We've automated thousands of processes."
Ask:
"How many healthcare processes have you taken into production?"
Then ask what happened afterward.
Did processing time decrease?
Did error rates fall?
How many exceptions occurred?
How was the automation maintained?
Real-world results are much more useful than a product demonstration.
7. Understand Their Maintenance Model
RPA bots can break when the systems they interact with change.
A payer may redesign its portal.
An EHR may receive an update.
A login process may change.
A document format may be modified.
Ask:
- Who monitors the bots?
- Who fixes failures?
- How quickly are production incidents handled?
- Is support included?
- What happens after the warranty period?
Healthcare organizations shouldn't assume that automation means removing humans from every process.
Instead, the best architecture may combine:
Automation → exception detection → human review → automated continuation
This allows the bot to handle predictable work while employees manage cases that require judgment.
9. Compare Total Cost of Ownership
Your evaluation should include more than the initial development quote.
Look at:
- Software licensing
- Development
- Integration
- Cloud infrastructure
- Monitoring
- Support
- Maintenance
- Security assessments
- Future workflow changes
10. Start With a Controlled Pilot
Choose one workflow with measurable results.
If your team currently spends 1,000 hours per month on a repetitive administrative process, measure how much automation could realistically reduce that workload.
This provides a much stronger business case than simply estimating "potential efficiency."