GITNUXSOFTWARE ADVICE
AI In IndustryTop 10 Best Healthcare Automation Software of 2026
Compare healthcare automation software options and fit points for teams using Epic Systems, NextGen Healthcare, or athenahealth.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Epic Systems is the best fit for healthcare organizations that want EHR-native workflow automation and governed integration, since its ADT-driven automation links admissions to scheduling, documentation, and downstream operational tasks, whereas NextGen Healthcare suits SMB teams that prefer EHR-linked tasking and practical workflow automation tied to their records.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Epic Systems
ADT feed processing drives downstream workflow automation inside Epic, tying admissions events to scheduling, documentation, and operational tasks.
Best for: Fits when health systems need EHR-native workflow automation and governed integration for clinical and billing operations.
NextGen Healthcare
Editor pickNextGen workflow automation designed around EHR-linked tasking and operational events across care and revenue workflows.
Best for: Fits when teams need automation tied to an EHR-centric workflow model and integrated enterprise systems.
athenahealth
Editor pickWorkflow automation that converts operational triggers into queue-based actions across clinical and revenue cycle work.
Best for: Fits when clinics need automation tied to EHR workflows and want cross-department task routing.
Comparison Table
Epic Systems
enterpriseElectronic health record system with extensive workflow automation modules.
ADT feed processing drives downstream workflow automation inside Epic, tying admissions events to scheduling, documentation, and operational tasks.
Epic Systems processes clinical and operational events through its EHR-native workflow automation, including ADT-triggered work, orders, and documentation flows. Automation is driven by configured business rules and tight integration with Epic modules that handle scheduling, revenue cycle, and care team tasks.
Epic also supports external interoperability through standards-based interfaces, including HL7 and FHIR, for exchanging clinical and administrative data. Epic’s extensibility relies on governed configuration and Epic-approved integration mechanisms rather than generic bot tooling.
- +EHR-native workflow automation with strong control of clinical task sequencing
- +Highly configurable automation across scheduling, documentation, and revenue cycle processes
- +Interoperability support using HL7 and FHIR interfaces for external integrations
- +Governed extensibility model with audit-ready operational behavior
- –Automation changes typically require structured implementation and governance cycles
- –External automation beyond Epic workflows is limited without Epic-approved integration patterns
- –Complex configurations can increase onboarding effort for non-configuration teams
- –Fine-grained bot-style orchestration is not the primary design target
Best for: Fits when health systems need EHR-native workflow automation and governed integration for clinical and billing operations.
NextGen Healthcare
SMBElectronic health record and practice management solution with automated workflows.
NextGen workflow automation designed around EHR-linked tasking and operational events across care and revenue workflows.
NextGen Healthcare fits clinics and hospital departments that need healthcare workflow automation tightly connected to an established EHR record system and operational processes. The automation tooling centers on care delivery and revenue cycle workstreams such as scheduling events, task routing, and document-driven workflows, with integrations to external systems to move data across steps.
It provides an automation surface that organizations can configure for multi-step processes, not just point notifications. Governance features typically matter in healthcare automation, and NextGen Healthcare emphasizes controlled deployment and auditability through its enterprise healthcare architecture.
- +Workflow automation stays connected to NextGen clinical and operational records
- +Integration options support moving trigger data into external systems and back
- +Process configuration covers multi-step scenarios for care and operational handoffs
- +Enterprise-grade governance supports controlled automation execution and monitoring
- –Automation design work often depends on NextGen-specific configuration patterns
- –Cross-system orchestration can require careful mapping between external identifiers
- –Fine-grained workflow changes may need professional services for complex scenarios
- –Bot-style use cases can be limited compared with dedicated RPA orchestration tools
Best for: Fits when teams need automation tied to an EHR-centric workflow model and integrated enterprise systems.
athenahealth
enterpriseCloud-based electronic health record with automated practice management.
Workflow automation that converts operational triggers into queue-based actions across clinical and revenue cycle work.
athenahealth is a healthcare automation system built around EHR-integrated workflows for both clinical operations and revenue cycle processes. Its automation capabilities are expressed through EHR tasking, document handling, and rules-driven intake and follow-up that connect day-to-day work to downstream claims and eligibility steps.
The product is known for practical integration pathways for exchanging patient and administrative data with external systems and for orchestrating multi-step processes across departments. Governance tools center on configuration controls inside the workflow layer and reporting that traces work progress across functional queues.
- +EHR-linked automation that turns operational events into trackable tasks
- +Workflow routing supports coordinated execution across clinical and billing teams
- +Integration-friendly design for patient and administrative data exchange
- +Configuration of automation steps reduces manual handoffs across queues
- –Customization beyond standard workflows can require significant setup discipline
- –Some automation coverage depends on connected systems and external data feeds
- –High throughput work can increase operational load on the workflow configuration
- –Advanced automation logic can be less transparent than code-based approaches
Best for: Fits when clinics need automation tied to EHR workflows and want cross-department task routing.
Automation Anywhere
enterpriseCloud-native robotic process automation platform for healthcare organizations.
Automation Anywhere’s bot orchestration console coordinates unattended and attended execution with run-level monitoring and operator access controls.
Automation Anywhere fits healthcare organizations that need repeatable process bots for tasks like eligibility checks, claims data preparation, and document routing, with centralized scheduling and run-level monitoring. Its orchestration console provides a control plane for bot orchestration, including agent management, queueing patterns, and operational visibility into bot runs. The citizen developer studio and bot design workflow reduce friction for controlled automation changes when clinicians or operations teams supply process steps.
- +Centralized orchestration console for scheduling, monitoring, and operational controls
- +Attended and unattended bot models for both human-assisted and background automation
- +Citizen developer workflow builder for faster iteration on routine workflows
- +Extensibility via scripts and connectors for system-to-system automation patterns
- –Clinical interoperability still depends on integration engineering and interface mapping
- –Complex workflows can require governance to prevent credential and permission sprawl
- –Less suited to highly variable, real-time clinical decisions without strong rules
- –Document-heavy clinical tasks may need external extraction and normalization steps
Revenue cycle operations teams
Automate eligibility intake and work queues
Faster queue turnaround
Claims operations managers
Automate denials triage and updates
Lower manual rework
Show 2 more scenarios
Clinical operations workflow owners
Coordinate discharge summary follow-ups
Improved documentation throughput
Bots monitor completion signals and generate task handoffs when summaries are incomplete.
Automation engineering teams
Integrate EHR and backend systems
Consistent automation interfaces
Robots call APIs and databases while enforcing standardized input validation steps.
Best for: Fits when healthcare operations teams need controlled RPA automation with governance and clear run monitoring.
Waystar
vertical specialistHealthcare revenue cycle management automation platform.
Prior authorization automation with status tracking and payer communication orchestration across configurable decision paths.
Waystar is built for high-volume back-office automation where event-driven inputs like eligibility inquiries, claim submissions, and prior authorization decisions need consistent handling and measurable outcomes. The product’s automation depth centers on coordinating payer communication, tracking status, and applying configuration to handle common exceptions without fully custom code. Integration coverage is geared toward revenue cycle systems and external payer requirements, which helps teams standardize message formats and workflow steps across multiple payer relationships.
- +Rules-driven prior authorization workflow routing reduces manual handoffs
- +Broad payer transaction automation supports high-throughput revenue operations
- +Integration tooling targets external exchange needs beyond internal scheduling
- +Workflow tracking supports operational visibility across multi-step cases
- –Workflow performance depends on careful payer requirement mapping
- –Setup requires governance discipline to keep changes predictable across payers
- –Some clinic-facing workflows still require coordination with existing systems
- –Complex edge cases may need additional configuration cycles
Revenue cycle automation teams
Prior auth workflow coordination across payers
Fewer manual approvals
Claims operations managers
Claims handling with exception workflows
Reduced turnaround variance
Show 2 more scenarios
Interoperability engineers
Automated data exchange for payer transactions
Consistent message handling
Connects external payer-facing workflows to internal systems that drive eligibility and claim operations.
Clinic operations leaders
Eligibility-driven intake automation
More predictable intake
Initiates eligibility and authorization-related workflows based on incoming service and patient context signals.
Best for: Fits when multi-site revenue teams need automated prior auth and claims workflows with strong payer transaction handling.
Innovaccer
enterpriseHealthcare data activation platform with automated care management workflows.
Workflow orchestration that maps multi-step clinical and operational processes to upstream system events.
Innovaccer positions healthcare automation around payer, provider, and patient workflows that require data movement plus decisioning, not just task scheduling. Its automation tooling pairs EHR interoperability patterns with workflow orchestration for intake to disposition, including operational handoffs like referrals and follow-up.
- +Automation workflow orchestration tied to real healthcare operational handoffs
- +Extensible API surface for connecting EHR, claims, and patient-facing systems
- +Configuration-centric approach reduces custom code for common automation flows
- +Administrative controls support multi-team operation and access separation
- –Complex integration scenarios demand strong systems governance and ownership
- –Some niche workflow automation still requires engineering assistance
- –Debugging cross-system automation traces can be slower without disciplined event logging
- –Turnkey coverage for specialized edge cases varies by integration depth
Best for: Fits when care teams and operations groups need governed automation across EHR data flow and back-office decisions.
Health Gorilla
vertical specialistHealthcare interoperability platform automating lab ordering and results delivery.
Run-level workflow orchestration that ties triggers to downstream actions across revenue-cycle and patient operations.
Health Gorilla is designed for healthcare workflow automation that spans multiple operational steps, including eligibility checks, claims movement, and patient-facing task completion flows. The automation surface centers on configurable workflow runs that can be triggered by event changes and then execute downstream actions in connected systems. Integration depth matters most for clinics and hospital teams that rely on consistent identifiers and shared clinical or billing context across platforms. Governance controls are geared toward managing which workflows run, who can modify them, and how executions are traced through operational logs.
- +Workflow orchestration supports multi-step operational handoffs
- +Automation execution can be traced through run-level logging
- +Eligibility and claims-adjacent flows align with revenue cycle needs
- +Integration approach supports event-driven triggers and downstream actions
- –Identifier mapping issues can stall multi-system workflows
- –Complex routing often needs careful workflow configuration
- –Some edge-case payer rules may require manual workflow adjustments
- –External system dependencies can limit end-to-end throughput
Revenue cycle operations teams
Automate eligibility checks before claims actions
Fewer hold cycles
Medical practice operations
Route tasks when patient records change
Faster internal handoffs
Show 2 more scenarios
Denials management teams
Trigger denials work from status changes
Higher denial resolution speed
Denial statuses drive the next action and reduce rekeying across connected systems.
EHR integration owners
Coordinate automation across system records
Fewer manual reconciliations
Stable identifiers and field mappings keep automation consistent across operational systems.
Best for: Fits when care teams need repeatable automation for eligibility, claims, and routing with controlled execution logs.
Notable
vertical specialistIntelligent automation platform for healthcare patient intake and revenue cycle.
Execution audit logs tied to workflow runs and permissions controls for governed operational automation.
Notable focuses on healthcare automation workflows for clinical operations and administrative tasks, with a clear emphasis on integrating into existing health systems rather than replacing them. Automation runs are built around configurable triggers and step-based workflows that can handle form processing, routing logic, and status updates across multiple systems.
- +Configurable workflow steps that map well to clinical operations processes
- +API-based automation control supports integration into custom orchestration
- +Execution audit trail supports operational review of bot runs
- +Role-based access limits workflow editing and run permissions
- –Complex multi-system workflows take substantial configuration time
- –Some workflow categories depend on external system availability and response patterns
- –Limited visibility into run-level failures without careful log inspection
- –Governance requires consistent ownership of workflow inputs and changes
Best for: Fits when clinics or mid-size health groups need workflow automation tied to existing systems.
Veradigm
enterpriseHealthcare data and analytics platform with automated clinical insights.
ADT feed processing plus rules-driven orchestration for downstream workflow steps across connected healthcare systems.
Veradigm focuses on healthcare automation around clinical and operational interoperability, including EHR-adjacent workflow integration and data exchange. Its automation efforts center on connecting systems that handle ADT feed processing, clinical documents, and healthcare messages used by downstream apps and services.
- +Strong focus on healthcare interoperability workflows rather than generic automation
- +Supports configurable integration flows for event-driven ADT and document processing
- +Enterprise-oriented operations that fit multi-system healthcare environments
- +Built to support automation that must respect healthcare message formats
- –Workflow customization often depends on integration engineers, not business admins
- –Clinical-document and message routing coverage can be narrow without add-on components
- –Harder to pilot end-to-end workflows without access to representative system feeds
- –Automation surfaces are less transparent than vendors built around citizen studios
Best for: Fits when healthcare enterprises need automation tied to interoperability workflows and controlled integrations.
Infinx
vertical specialistInfinx automates eligibility, prior authorization, coding, and other revenue cycle tasks.
Automation runtime that routes healthcare-triggered jobs through configurable workflow graphs with governed execution controls.
Infinx is healthcare automation software aimed at clinics and hospital operations that need end-to-end orchestration across scheduling, documents, and back-office workflows. It focuses on configurable workflow building with an automation runtime that can trigger actions from inbound healthcare events and route work to downstream systems through its API surface.
- +Workflow configuration covers multi-step healthcare operations across clinical and admin systems
- +API-focused integrations support event-driven triggers and downstream action orchestration
- +Operational controls help manage automated job execution behavior and credentials
- +Extensibility supports adding new workflow steps without rebuilding core automation logic
- –Advanced automation requires disciplined setup of triggers, mappings, and failure handling
- –Complex EHR-specific interoperability can require custom integration work per environment
- –Observability depth depends on how workflows are partitioned and instrumented
- –Document-heavy workflows may need additional tuning for extraction quality
Best for: Fits when care operations need governed workflow automation with API-driven integrations across EHR-adjacent systems.
Conclusion
After evaluating 10 healthcare automation software, Epic Systems stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Healthcare Automation Software
Healthcare automation software for clinics and hospitals centers on how operational triggers become governed workflow actions across clinical and revenue teams. This guide covers Waystar, Automation Anywhere, Health Gorilla, athenahealth, Epic Systems, NextGen Healthcare, Notable, Innovaccer, Veradigm, and Infinx to show how automation surfaces differ between EHR-native and API-driven deployments.
Tool selection also hinges on integration depth and the automation and API surface used to connect systems and manage execution. Waystar is included for payer communication orchestration inside prior authorization automation, while Epic Systems and Veradigm are included to illustrate ADT feed processing tied to downstream workflow automation.
Healthcare Automation Software that orchestrates clinical and revenue workflows through rules, APIs, and governed execution
Healthcare automation software routes event-driven triggers into repeatable workflow actions across connected healthcare systems using automation logic, execution control, and monitoring. Waystar uses rules-driven prior authorization workflow routing with status tracking and payer communication orchestration across configurable decision paths.
Epic Systems and Veradigm show how EHR-linked event ingestion changes the automation boundary, since Epic uses ADT feed processing to drive downstream scheduling, documentation, and operational tasks and Veradigm combines ADT feed processing with rules-driven orchestration for downstream workflow steps. Across this set of tools, differentiation appears in run-level orchestration and execution traceability in Health Gorilla, centralized bot orchestration and operator access controls in Automation Anywhere, and governance mechanisms like execution audit logs and permissions controls in Notable.
Healthcare automation capabilities that change execution control
Healthcare automation software matters most when operational triggers become governed workflow actions that both clinical and revenue teams can track end to end. Execution traceability and workflow routing determine whether automation reduces handoffs or creates new failure points across connected systems.
Prior authorization and payer communication orchestration
Waystar is built around rules-driven prior authorization workflow routing with status tracking and payer communication orchestration across configurable decision paths. This design suits multi-site revenue teams that need consistent payer transaction handling rather than manual status checks.
Run-level orchestration with monitoring and operator access controls
Automation Anywhere provides a bot orchestration console that coordinates unattended and attended execution with run-level monitoring and operator access controls. Health Gorilla also emphasizes run-level workflow orchestration with triggers tied to downstream actions and execution traced through run-level logging.
EHR event ingestion that drives workflow boundaries
Epic Systems uses ADT feed processing to drive downstream workflow automation inside Epic, tying admissions events to scheduling, documentation, and operational tasks. Veradigm pairs ADT feed processing with rules-driven orchestration for downstream workflow steps across connected healthcare systems.
Governed workflow execution audit logs and permission controls
Notable ties execution audit logs to workflow runs and adds permissions controls for governed operational automation. This helps clinics and mid-size health groups coordinate automation steps without losing operational accountability.
Queue-based task routing from operational triggers
athenahealth converts operational triggers into queue-based actions that become trackable tasks across clinical and billing teams. Its workflow routing supports coordinated execution across departments when multiple teams share the same trigger event.
API-driven integration and event-driven workflow graphs
Infinx routes healthcare-triggered jobs through configurable workflow graphs using API-focused integrations for event-driven triggers and downstream orchestration. Innovaccer also provides an extensible API surface for connecting EHR, claims, and patient-facing systems into governed automation workflows.
Choose automation architecture by integration depth and governance scope
Automation architecture determines where workflows start, how data moves, and who can change rules. The strongest deployments separate operational triggers, mapping, and execution control so the same workflow can run repeatedly across sites and systems.
Pick the workflow entry point: payer workflows, EHR-native events, or operational triggers
Select Waystar when the primary automation workload is prior authorization and payer communication with status tracking and payer transaction handling. Select Epic Systems when ADT events must stay inside an EHR-native workflow boundary. Select athenahealth when operational triggers must become queue-based tasks that cross clinical and billing work queues.
Match the execution model to control needs: orchestrator console versus run-level logs
Choose Automation Anywhere when attended and unattended RPA automation needs centralized orchestration, run monitoring, and operator access controls. Choose Health Gorilla or Notable when traceability depends on run-level logging and governed execution audit logs tied to workflow runs.
Decide how much of the integration burden must be handled by engineers
Prefer tooling that keeps workflow customization aligned with configuration patterns for business teams, such as Epic Systems and NextGen Healthcare which are designed around EHR-linked tasking and operational events. Avoid teams expecting zero engineering involvement when complex integration scenarios require strong systems governance and ownership, as seen in Innovaccer and Infinx.
Test mapping failure behavior using real identifiers across connected systems
Health Gorilla can stall multi-system workflows when identifier mapping issues occur, so test your identifier set during pilots. Infinx and In-novaccer also require disciplined setup of triggers, mappings, and failure handling, so run scenario tests that include partial data and inconsistent identifiers.
Validate whether workflow categories depend on external system availability
Notable and Health Gorilla include configuration-driven workflow steps that depend on connected systems and external system availability patterns for some categories. Plan mitigations when your automation scope includes message routing and clinical document exchange that can be narrow without add-on components, which is a concern for Veradigm.
Separate internal governance changes from external automation expansion
Epic Systems can limit external automation beyond Epic workflows without Epic-approved integration patterns, so confirm the expansion path before selecting it for cross-EHR automation. Waystar and Infinx focus on automation surfaces that connect workflows across systems, so confirm governance cycles and mapping governance needs for each integration layer.
Who benefits from healthcare automation built around governed execution
Healthcare automation software fits organizations that manage repeated operational workflows across multiple systems and teams. The right fit depends on whether the automation work is dominated by payer transactions, EHR event boundaries, or cross-department operational task routing.
Multi-site revenue operations teams running prior authorization at scale
Waystar fits teams that need rules-driven prior authorization routing with status tracking and payer communication orchestration across configurable decision paths.
Clinical operations teams that want EHR event-driven workflow sequencing
Epic Systems and NextGen Healthcare support EHR-linked tasking around admissions events and operational records, which keeps scheduling and documentation automation inside the EHR workflow boundary.
Automation governance teams managing attended and unattended RPA execution
Automation Anywhere provides a centralized orchestration console with run-level monitoring and operator access controls, which supports auditability for both human-assisted and background automation.
Clinics and mid-size health groups standardizing task routing across teams
athenahealth supports queue-based task routing from operational triggers across clinical and billing teams, while Notable ties workflow execution to audit logs and permissions controls for governed automation.
Enterprises integrating interoperability events with rules-driven orchestration
Veradigm combines ADT feed processing with rules-driven orchestration for downstream workflow steps, and Infinx routes event-driven jobs through configurable workflow graphs using API-focused integrations.
Common buyer mistakes that break healthcare automation projects
Automation projects often fail when teams evaluate automation demos without validating workflow routing behavior under real identifier and payer conditions. Many breakdowns trace back to governance gaps, mapping assumptions, and dependency on external system response patterns.
Assuming workflow routing will work without disciplined payer requirement mapping
Waystar depends on careful payer requirement mapping to avoid workflow performance issues, so validate decision-path coverage using live payer samples before expanding automation.
Overlooking how identifier mapping failures affect multi-system orchestration
Health Gorilla can stall multi-system workflows when identifier mapping issues occur, so test with your production identifier formats and cross-system lookups during implementation planning.
Treating unattended automation governance as an afterthought
Automation Anywhere includes operator access controls and run-level monitoring, so plan RBAC-like operational permission boundaries and monitoring coverage before rolling out complex workflows.
Expecting effortless cross-platform automation beyond the EHR-native boundary
Epic Systems automation is limited for external automation beyond Epic workflows without Epic-approved integration patterns, so confirm integration patterns if downstream actions must occur outside Epic.
Building large multi-system workflows without budgeting configuration time
Notable can require substantial configuration time for complex multi-system workflows, so start with a narrow workflow category and expand only after run-level audit logs confirm stable execution.
How We Selected and Ranked These Tools
We evaluated healthcare automation software across workflow routing control, execution monitoring depth, and how each product supports governed automation of operational tasks. Features received 40% of the weight, while ease and value each received 30% of the weight.
Waystar separated itself by combining rules-driven prior authorization workflow routing with status tracking and payer communication orchestration across configurable decision paths, which matches the highest-volume payer transaction workflows. Rankings favored tools that show clear execution behavior via run monitoring, queue-based task routing, execution audit logs, or EHR-native event ingestion tied to downstream workflow automation.
Frequently Asked Questions About Healthcare Automation Software
How do Waystar and Innovaccer connect automation to payer and provider events?
Which tools provide an automation API surface for workflow control without manual queue handling?
When should healthcare teams choose Epic Systems or athenahealth for EHR-native automation?
What breaks if an organization needs unattended RPA plus run-level monitoring?
How do Notable and Health Gorilla handle auditability for automated workflow runs?
Which product design aligns better with admin controls for governed deployment and auditability?
How do Veradigm and Infinx differ in their approach to event intake and downstream routing?
What tradeoff occurs when automation must stay tightly coupled to an established EHR record system?
How should teams plan data migration for automation that depends on workflow configuration and existing system permissions?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
- HR In IndustryTop 10 Best HR Automation Software of 2026
- Digital Transformation In IndustryTop 10 Best Automate Automation Software of 2026
- Healthcare MedicineTop 10 Best Pharmacy Automation Software of 2026
- AI In IndustryTop 10 Best Business Automation Services of 2026
- Digital Transformation In IndustryTop 10 Best Automation Consulting Services of 2026
Keep exploring
Comparing two specific tools?
Software Alternatives
See head-to-head software comparisons with feature breakdowns, pricing, and our recommendation for each use case.
Explore software alternatives→In this category
AI In Industry alternatives
See side-by-side comparisons of ai in industry tools and pick the right one for your stack.
Compare ai in industry tools→