Andrew Woughter played an important role in bringing robotic process automation into nThrive’s healthcare technology strategy. His work connected revenue cycle management experience with automation technology to help hospitals reduce repetitive administrative work and improve operational efficiency.
The connection between andrew woughter robotic process automation nthrive is particularly relevant to healthcare professionals researching the development of RPA in revenue cycle management. His work involved more than introducing software bots. It included identifying automation opportunities, developing business cases, explaining technical solutions to healthcare leaders and considering how automation could scale across different organizations.
nThrive publicly introduced its custom robotic process automation offering in July 2020. The technology was designed to replicate human interactions with software systems and automate selected hospital workflows.
Understanding this development provides useful context for healthcare executives evaluating RPA, revenue cycle teams looking to improve productivity and technology professionals interested in healthcare automation.
Key Takeaways
- Andrew Woughter helped introduce and develop robotic process automation as a capability at nThrive.
- nThrive launched its custom RPA offering in July 2020 to automate repetitive hospital revenue cycle tasks.
- Healthcare RPA can support claims management, eligibility research, billing edits and prior authorization workflows.
- Successful automation requires process analysis, measurable ROI, system access and ongoing oversight.
- RPA works best when healthcare employees handle exceptions and complex decisions while software bots manage repetitive tasks.
Who Is Andrew Woughter and What Was His Role at nThrive?
Andrew Woughter is a healthcare technology and revenue cycle executive with experience in hospital financial operations, product strategy and process automation.
Before his work at nThrive, he held revenue cycle leadership positions within healthcare organizations. This experience gave him direct exposure to the administrative challenges hospitals face when managing patient accounts, insurance claims and reimbursement activities.
At nThrive, Woughter served as Senior Vice President of Product Strategy. One of his important responsibilities was helping introduce and develop robotic process automation as a business capability.
His contribution covered several areas:
- Automation strategy: Identifying opportunities where software bots could reduce repetitive administrative work.
- Technology development: Helping establish RPA as part of the company’s healthcare technology capabilities.
- Business case development: Explaining potential productivity improvements and return on investment.
- Client communication: Translating technical automation concepts into practical benefits for healthcare organizations.
- Change management: Addressing employee concerns and helping organizations understand how automation could support existing teams.
A particularly important aspect of this work was connecting automation decisions with actual revenue cycle problems rather than introducing technology without a clear operational purpose.
Why nThrive Introduced Robotic Process Automation
Healthcare revenue cycle management involves many repetitive activities across patient access, billing, claims processing and payment collection.
Employees frequently move between multiple applications to verify information, check claim statuses, correct billing details and submit documentation. These tasks consume time that could otherwise be spent resolving complex account issues and improving financial performance.
nThrive introduced its custom RPA offering on July 20, 2020, to help hospitals automate these types of activities.
The offering focused on software robots that could replicate human interactions with one or more system interfaces. This allowed automation to work across existing applications without requiring every system to be replaced or completely redesigned. PR Newswire+1
What Problems Was the Technology Designed to Solve?
The initial offering identified several practical healthcare applications.
| Revenue cycle process | Potential automation task |
|---|---|
| Claims management | Research missing claim information |
| Medical record requests | Process documentation requests associated with denials |
| Eligibility research | Check insurance eligibility information |
| Billing edits | Identify and process defined billing corrections |
| Prior authorization | Submit and track authorization requests |
| Claim management | Retrieve missing claim identifiers and supporting information |
These workflows share an important characteristic. They involve repeatable steps that can be defined through business rules and system interactions.
For example, an employee might repeatedly open an account, review a claim field, check whether required information exists and determine whether a rebill can proceed.
A bot can perform the information-gathering steps and route accounts according to predefined rules. However, unusual cases and decisions requiring clinical or financial judgment should remain under appropriate human oversight. PR Newswire+1
How Robotic Process Automation Works in Healthcare Revenue Cycle Management
RPA uses software bots to perform computer-based tasks that employees would otherwise complete manually.
These bots can interact with applications, retrieve information, enter data and follow predefined instructions. Depending on the technology and system access available, automation can work through user interfaces, APIs or other approved integration methods.
A typical healthcare automation workflow follows several steps.
1. Identify a Repetitive Revenue Cycle Task
The organization starts by identifying an activity that consumes significant employee time.
Examples include:
- Checking insurance eligibility.
- Reviewing claim information.
- Collecting missing documentation.
- Updating account records.
- Tracking authorization requests.
The process should have clear instructions and measurable outcomes.
2. Define the Business Rules
Before development begins, the team documents how the process works.
This includes:
- Required information.
- Systems the bot needs to access.
- Conditions that determine the next action.
- Situations that require employee review.
- Expected completion results.
Without clear business rules, a bot may repeat an inefficient process rather than improve it.
3. Configure the Software Bot
Developers configure the automation to perform the approved workflow.
For example, a claims-related bot might:
- Open a designated work queue.
- Retrieve an account or claim.
- Check for required information.
- Compare the information against predefined rules.
- Complete an approved system action.
- Record the result.
- Send exceptions to an employee.
4. Test the Automation Before Deployment
Testing should cover normal transactions and unusual situations.
The team needs to confirm that the bot handles missing information, system errors, duplicate records and unexpected changes correctly.
Testing should also verify that automated actions do not create incorrect account updates or duplicate submissions.
5. Monitor Performance and Handle Exceptions
Deployment does not eliminate the need for operational oversight.
Healthcare organizations should monitor:
- Completed transactions.
- Failed transactions.
- Processing time.
- Exception rates.
- Accuracy.
- Financial outcomes.
- System availability.
This approach helps teams identify problems before they affect large numbers of patient accounts.
Real-World Applications of nThrive RPA
The most useful way to evaluate healthcare automation is to examine the actual processes it can support.
nThrive’s original RPA announcement described several applications intended for hospital and health system operations.
Claims Management and Missing Information
Claims management often requires employees to investigate why an account cannot move forward.
A bot can retrieve claim information, check specific fields and determine whether predefined requirements have been met.
For example, an automation could check whether a required internal claim number or document control number is available.
If the information exists, the account may move to the next approved step. If it is missing, the bot can flag the account for further investigation.
This reduces repetitive research without allowing the automation to make unsupported reimbursement decisions.
Medical Record Requests for Denials
Denials management often involves collecting documentation needed to support an appeal or respond to an insurer.
RPA can help process medical record requests by retrieving relevant information and supporting the administrative workflow.
This can reduce the amount of manual navigation required from employees.
However, medical record access must follow applicable privacy requirements and organizational authorization policies.
Insurance Eligibility Research
Insurance eligibility verification is another potential automation opportunity.
Employees may need to check coverage information before services are provided or claims are submitted.
A bot can follow defined steps to retrieve available eligibility information and update designated systems.
The results still need appropriate validation because coverage information can change and payer responses may contain limitations or exceptions.
Billing Edits
Billing teams frequently review accounts that require corrections before claims can proceed.
When an edit follows consistent rules, RPA may help retrieve the account, identify the relevant condition and complete an approved action.
More complicated coding or billing decisions should remain with qualified personnel.
Prior Authorization Submission and Tracking
Prior authorization involves communication between healthcare providers and insurance companies.
Automation can support repetitive administrative activities such as collecting required information, submitting approved requests and checking request statuses.
It can also help identify requests that require additional documentation or employee attention.
The original nThrive offering specifically identified prior authorization submission and tracking among its intended use cases. PR Newswire
The Business Case for Healthcare RPA
Automation should not be evaluated simply by counting how many tasks a bot can complete.
Healthcare executives need to understand whether the technology improves the financial and operational performance of the organization.
Andrew Woughter’s experience at nThrive included helping healthcare organizations build business cases that considered return on investment and the ability to scale automation without making it prohibitively expensive.
This is an important distinction. A successful automation project needs to deliver measurable value beyond the initial reduction in manual work.
How to Calculate RPA Return on Investment
A practical business case should compare the cost of manual processing with the complete cost of automation.
Consider a hypothetical hospital workflow with the following assumptions.
| Measurement | Example |
|---|---|
| Monthly transactions | 10,000 |
| Average manual processing time | 3 minutes |
| Employee hourly cost | $25 |
| Monthly manual labor cost | $12,500 |
| Bot processing time | 1 minute per transaction |
| Monthly bot operating cost | $2,000 |
| Monthly automated processing cost | $2,000 |
The example assumes that all 10,000 transactions can be automated successfully and that the one-minute processing time represents total bot processing time.
The estimated monthly labor value of the original process is $12,500.
After subtracting the assumed $2,000 operating cost, the potential monthly gross labor-cost difference is $10,500.
However, this is not automatically a realized cash saving.
The hospital must account for development, implementation, exception handling, maintenance and any changes in staffing or workload before calculating actual financial returns.
A useful calculation is:
\[ ROI = \frac{\text{Annual Benefits} – \text{Annual Costs}}{\text{Annual Costs}} \times 100 \]
Annual benefits should include only measurable improvements that the organization can reasonably attribute to the automation.
Financial and Operational Benefits
A well-designed RPA program may provide several benefits.
Reduced manual workload
Employees spend less time completing repetitive system interactions and can focus on more complex accounts.
Faster processing
Bots can process eligible transactions according to their configured schedules without waiting for an employee to complete each individual step.
More consistent workflows
Standardized instructions can reduce variation in routine processing.
Improved capacity
Hospitals may be able to handle higher transaction volumes without increasing manual workload at the same rate.
Better operational visibility
Automation logs can help managers understand processing volumes, failure points and workflow performance.
The actual benefits depend on process design, transaction quality, software reliability and the organization’s ability to manage exceptions.
Why Human Oversight Still Matters in RPA
One important consideration in healthcare automation is that not every transaction follows the same pattern.
A bot can execute predefined instructions, but it does not automatically understand the clinical, financial or regulatory context behind every account.
For this reason, healthcare organizations should design automation around a combination of software execution and human decision-making.
Tasks Suitable for Automation
- Repetitive data entry.
- Standard eligibility checks.
- Routine account information retrieval.
- Defined claim status checks.
- Document collection.
- Standardized billing workflow steps.
Tasks That Need Human Review
- Complex insurance disputes.
- Medical necessity determinations.
- Unusual coding situations.
- Conflicting patient information.
- Exceptions involving unclear payer requirements.
- Decisions requiring clinical judgment.
The objective should be to reduce repetitive administrative work without removing the people responsible for accuracy and accountability.
Andrew Woughter’s approach to change management at nThrive also highlights why employee communication matters. Automation programs need to address concerns about job replacement and explain how technology can support existing teams rather than simply changing their responsibilities.
RPA Implementation Challenges Healthcare Organizations Should Understand
Although automation can improve revenue cycle operations, implementation involves several challenges that should be considered before investing.
1. Existing System Limitations
Hospitals frequently operate multiple software applications with different interfaces and data structures.
A bot designed for one system may require adjustments when the interface changes or a workflow is updated.
Organizations should assess system stability and available integration options before selecting an automation approach.
2. Data Quality Problems
Automation depends on the quality of the information it receives.
Incorrect patient information, incomplete claim records and inconsistent data formats can lead to processing failures.
Hospitals should identify recurring data quality issues before automating a workflow.
3. HIPAA and Information Security
Healthcare automation frequently involves protected health information.
Organizations must ensure that bot accounts and automation platforms follow appropriate security and privacy controls.
Important safeguards include:
- Role-based access permissions.
- Secure credential storage.
- Audit logging.
- Appropriate data encryption.
- Access restrictions.
- Vendor security assessments.
- Documented incident response procedures.
HIPAA obligations apply to relevant covered entities and business associates. Automating a task does not remove those responsibilities.
4. Bot Maintenance and System Changes
An automation that works correctly today may fail after an application update or a change in payer requirements.
Healthcare organizations need a maintenance process that includes monitoring, testing and controlled updates.
Without ongoing support, the cost of managing failed automations can reduce the original financial benefit.
5. Employee Adoption
Employees may resist automation if they believe it threatens their positions or adds more work.
Managers should communicate the purpose of automation and explain which tasks will change.
Training is also important because employees need to understand how to review exceptions, report problems and work with automated processes.
How nThrive’s RPA Approach Fits Into the Evolution of Healthcare Automation
The development of RPA at nThrive was part of a broader shift toward using technology to improve healthcare financial operations.
The company introduced automation capabilities during a period when hospitals were looking for ways to improve administrative productivity and manage complex revenue cycle workflows.
The historical timeline provides useful context.
| Date | Development |
|---|---|
| 2018 | Andrew Woughter discussed the potential of RPA to reduce repetitive revenue cycle work. |
| July 2020 | nThrive announced its custom RPA offering for hospitals and health systems. |
| January 2021 | Clearlake Capital completed its acquisition of nThrive’s Technology Division. |
| October 2023 | Andrew Woughter participated in an industry discussion about RPA applications and the balance between automation and human talent. |
Healthcare News & Analysis+3
The 2023 discussion is particularly relevant because it highlighted that RPA can extend beyond basic screen-based tasks.
Woughter discussed how automation can interact directly with software, use APIs and process larger datasets. This demonstrates the broader direction of healthcare automation, where traditional RPA can work alongside other integration and data-processing technologies. go.beckershospitalreview.com+1
From Traditional RPA to Intelligent Automation
Traditional RPA focuses on predefined tasks and business rules.
More advanced automation can combine several technologies:
| Technology | Primary function | Healthcare application |
|---|---|---|
| Traditional RPA | Executes predefined workflows | Claim status checks |
| API integration | Connects software systems | Retrieving account information |
| Optical character recognition | Extracts information from documents | Reading supporting documentation |
| Artificial intelligence | Supports analysis and classification | Identifying document types |
| Intelligent automation | Combines multiple automation capabilities | Supporting complex revenue cycle workflows |
These technologies serve different purposes and should not be treated as interchangeable.
For example, an RPA bot may retrieve a document while an AI-based system extracts relevant information. A human employee can then review the result before an important financial action is completed.
This combination can provide more flexibility than relying on traditional screen-based automation alone.
What Andrew Woughter’s nThrive Experience Means for Healthcare RPA Today
Andrew Woughter’s work at nThrive is relevant because it demonstrates the importance of combining healthcare operations knowledge with technical automation expertise.
His contribution was not limited to the technology itself. It also involved explaining the business value of RPA, developing scalable automation strategies and considering how employees would adapt to new workflows.
His later professional work provides additional context. Andrew became associated with Absolute Automations, where his focus includes healthcare revenue cycle automation and AI solutions. His professional background also connects him with Finvi and healthcare automation consulting. The Org+3
For healthcare organizations, the broader lesson is that automation should be designed around operational problems rather than technology trends.
A hospital does not need an extensive automation program simply because RPA is available. It needs processes that can be improved through reliable and measurable automation.
How Healthcare Leaders Should Evaluate an RPA Investment
Healthcare executives considering RPA should evaluate the technology through operational requirements rather than relying on vendor demonstrations or projected savings alone.
The following decision framework can help determine whether a process is suitable for automation.
| Evaluation factor | What to examine |
|---|---|
| Transaction volume | Does the process happen frequently enough to justify automation? |
| Process consistency | Are the steps clearly defined and repeatable? |
| Labor requirements | How much employee time does the process consume? |
| Exception rate | How frequently do transactions require manual intervention? |
| System compatibility | Can the bot access the required applications securely? |
| Financial return | Do measurable benefits justify implementation and operating costs? |
| Scalability | Can the automation handle higher transaction volumes? |
| Maintenance | Who will monitor and update the automation? |
Should a Hospital Build Its Own RPA Solution or Work With a Provider?
The decision depends on internal technical capabilities, workflow complexity and long-term operating requirements.
Building an internal solution may be appropriate when:
- The organization has an experienced automation development team.
- Internal IT teams understand the existing systems.
- The hospital requires extensive customization.
- There is sufficient capacity for ongoing maintenance.
Working with an external provider may be appropriate when:
- The organization lacks internal RPA expertise.
- Deployment speed is important.
- The provider understands healthcare revenue cycle workflows.
- Ongoing technical support is required.
- The organization wants to avoid building and maintaining an entire automation infrastructure.
Before selecting a provider, healthcare leaders should request a demonstration using a representative workflow, a transparent pricing model and a clear explanation of support responsibilities.
Which Healthcare Process Should Be Automated First?
A sensible starting point is a high-volume administrative process with predictable rules and measurable outcomes.
For example, a hospital might begin with routine eligibility research rather than attempting to automate its entire denials management department.
The first project should establish a reliable performance baseline.
Measure:
- Current employee processing time.
- Monthly transaction volume.
- Existing error and exception rates.
- Automation development and operating costs.
- Actual processing improvements after deployment.
Once the first automation demonstrates measurable value, the organization can evaluate additional workflows.
This approach reduces implementation risk and gives leadership real operational evidence before expanding the program.
Frequently Asked Questions
1. Who is Andrew Woughter at nThrive?
Andrew Woughter was Senior Vice President of Product Strategy at nThrive. He helped introduce and develop robotic process automation as a company capability, combining his healthcare revenue cycle experience with automation technology.
2. What was Andrew Woughter’s role in robotic process automation at nThrive?
His responsibilities included automation strategy, technology development, client communication, business case development and change management. He helped establish how RPA could improve hospital revenue cycle operations.
3. When did nThrive launch its RPA solution?
nThrive announced its custom robotic process automation offering on July 20, 2020. The solution was designed to automate repetitive hospital processes through software bots.
4. What healthcare processes can nThrive RPA automate?
The original offering identified medical record requests for denials, missing claim identifiers, insurance eligibility research, billing edits and prior authorization submission and tracking as potential automation applications.
5. How does robotic process automation improve hospital revenue cycle management?
RPA can reduce repetitive administrative work, support consistent processing and increase operational capacity. It allows revenue cycle employees to spend more time handling complex accounts and resolving exceptions.
6. Does RPA replace healthcare revenue cycle employees?
RPA is primarily designed to automate repetitive tasks rather than replace every responsibility performed by employees. Human oversight remains important for complex claims, unusual situations, financial decisions and regulatory compliance.
7. What is the difference between traditional RPA and intelligent automation?
Traditional RPA follows predefined rules to perform repetitive tasks. Intelligent automation combines RPA with technologies such as AI, document processing and data analysis to support more complex workflows.
8. Is Andrew Woughter still involved in healthcare automation?
His later professional activities include leadership at Absolute Automations and healthcare revenue cycle automation consulting. His work has also been associated with Finvi. His current professional activities should be distinguished from his historical role at nThrive.
9. How should hospitals calculate the ROI of robotic process automation?
Hospitals should compare the financial value of reduced manual processing with development, licensing, infrastructure, maintenance and exception-handling costs. They should also measure accuracy and processing improvements rather than relying only on estimated labor savings.
10. Is nThrive’s original RPA offering still available under the same name?
The original offering was announced in 2020. nThrive’s Technology Division was subsequently acquired by Clearlake Capital in January 2021. Healthcare organizations researching the historical solution should verify current product ownership, branding, availability and support arrangements before considering a purchase.
The Lasting Importance of Andrew Woughter’s RPA Work at nThrive
Andrew Woughter’s contribution to nThrive’s automation strategy illustrates how healthcare organizations can connect operational expertise with software automation.
The important takeaway is that successful RPA depends on more than deploying bots. Hospitals need clearly defined workflows, reliable system access, measurable financial objectives and employees who can manage exceptions.
For healthcare leaders evaluating similar technology today, the most practical approach is to start with one repetitive revenue cycle process, establish its current performance and measure the results after automation.
That creates a stronger foundation for deciding whether additional automation investments are worthwhile.