Array Behavioral Health Automates On-Demand Patient Encounter Assignment With Workato

The Solutions

Workato Became the Intelligent Orchestration Layer for Encounter Assignment

Quandary Consulting Group designed a Workato-powered automated encounter assignment engine capable of connecting Array's clinical, scheduling, credentialing, and operational systems. Rather than replacing Epic or Array's existing healthcare technology stack, Workato orchestrated information between them.

The architecture connected: Epic → Workato → PlanBase → MDStaff → Array Assignment Logic → KeyCare API → Epic

Epic continued serving as the authoritative system for encounters and provider assignments and Workato became the automation and orchestration layer responsible for collecting the information necessary to make an assignment, evaluating provider eligibility, applying configurable business rules, selecting the best-fit clinician, initiating the assignment, and recording the decision.

Real-Time Epic Encounter Intake Through HL7

When new on-demand encounters entered Epic, relevant encounter information flowed into Workato through HL7 SIU messaging.

This gave the automation engine access to the operational context required to begin evaluating the encounter and instead of waiting for a Shift Coordinator to manually identify and process every new case, Workato continuously monitored encounters requiring assignment.

That changed the workflow to: Encounter Arrives → Workato Evaluates → Provider Selected → Epic Updated → Decision Logged

Workato Connects Real-Time Provider Scheduling Data From PlanBase

Knowing which clinicians are credentialed is only part of the equation. Array also needs to know which qualified providers are actually available to take an encounter.

Quandary integrates PlanBase with Workato to bring provider scheduling data directly into the encounter assignment workflow. The integration captures critical workforce information, including which clinicians are currently on shift, when their shifts begin and end, and which providers are scheduled to become available in the near future.

By incorporating real-time provider availability alongside credentialing and eligibility data, Array could make more accurate encounter routing decisions without relying on teams to manually reconcile schedules across systems.

A clinician may meet every credentialing and clinical requirement for an encounter, but if that provider is not currently working, they are automatically excluded from the active candidate pool. This allows Array to narrow each assignment to providers who are both qualified and operationally available, creating a faster, more precise, and more scalable approach to virtual behavioral health provider matching.

Workato Integrates Credentialing and Privileging Data From MDStaff

Before a clinician can receive an encounter, Array needs to confirm more than provider availability. The clinician must also meet the appropriate licensing, credentialing, and facility privileging requirements for the specific patient and partner organization.

Workato integrates with MDStaff to bring this provider eligibility data directly into the automated assignment workflow. For each encounter, the automation evaluates whether potential providers meet the required criteria for the applicable state and partner healthcare facility before they can advance in the matching process.

This creates an important operational safeguard within Array's virtual behavioral health workflow. A provider may be available and have the appropriate clinical specialty, but if the necessary licensing, credentials, or facility privileges are not in place, that clinician is automatically excluded from the active candidate pool.

The eligibility workflow becomes: Identify Potential Providers → Validate State Licensure → Verify Credentials → Confirm Facility Privileges → Establish Eligible Provider Pool → Continue to Provider Ranking

By incorporating credentialing and privileging validation directly into provider matching, Array reduces the need for manual eligibility checks while creating a more consistent, rules-driven approach to encounter assignment. Only providers who satisfy the defined requirements move forward for ranking and assignment, helping ensure that automated routing decisions account for the operational requirements of delivering behavioral healthcare across multiple states and partner facilities.

Intelligent Provider Candidate Selection

Once Workato assembled the necessary information, it created a pool of eligible providers for each encounter.

The workflow first applied hard eligibility constraints, including: On Shift + Licensed + Privileged + Ready for Encounter

Workato could then rank qualifying clinicians according to operational and clinical priorities and the decisioning framework was designed to incorporate factors such as:

• Clinical specialty and encounter match
• Provider queue depth
• Encounter priority
• Service type
• Turnaround-time requirements
• Facility continuity
• Existing workload
• Provider availability

This moved Array beyond basic assignment automation and the solution created the foundation for rules-driven intelligent clinical workload orchestration.

Reducing EHR Context Switching Through Smarter Provider Assignment

Provider availability and eligibility are important, but Array's assignment strategy also considers how each clinician's workload is structured. One of the most valuable elements of the Workato-powered workflow is its ability to account for facility continuity when determining which provider should receive an encounter.

When appropriate, the Workato-powered assignment engine prioritizes eligible clinicians who are already managing encounters for the same partner hospital or healthcare facility. This helps keep related clinical work within the same operational environment instead of unnecessarily distributing a provider's queue across multiple facility systems.

For clinicians supporting multiple partner organizations, moving between facilities can also require switching between different EHR platforms, clinical workflows, patient contexts, and facility-specific processes. Frequent context switching introduces unnecessary friction into the provider workflow and can make it more difficult for clinicians to move efficiently through their encounter queues.

By incorporating facility continuity into provider ranking and encounter assignment logic, Array creates more intelligently structured workloads. When multiple qualified clinicians are available, the automation can consider which provider is already working within the relevant facility environment and prioritize assignments accordingly.

The objective is not simply to fill provider queues as quickly as possible. It is to build better queues.

Workato combines provider eligibility, availability, workload, and facility context to help determine the most appropriate assignment:Validate Provider Eligibility → Confirm Availability → Evaluate Current Workload → Assess Facility Continuity → Rank Qualified Providers → Assign Encounter

For Array Behavioral Care, this approach helps reduce unnecessary EHR context switching while allowing clinicians to remain within the same operational and clinical environment whenever appropriate. The result is a more thoughtful approach to virtual behavioral health encounter routing—one that considers not only whether a clinician can accept an encounter, but also how that assignment fits within the provider's broader workload.

Automating Provider Assignment Back Into Epic

Once Workato identifies the highest-ranked eligible provider, the workflow moves beyond recommendation and completes the assignment automatically. Using a KeyCare-provided API endpoint connected to Epic, Workato sends the selected provider assignment back into the clinical environment where the encounter is managed.

This closes the loop between encounter intake, provider eligibility, intelligent matching, and clinical system execution. Instead of requiring a Shift Coordinator to review the recommendation and manually update Epic, the workflow carries the assignment through to completion.

The end-to-end workflow becomes: Encounter Intake → Eligibility Validation → Provider Ranking → Assignment → Epic Update → Assignment Validation

After the assignment is submitted, Workato validates that the update succeeds and incorporates the confirmed assignment back into its operational model. That updated state then informs subsequent provider capacity, queue balancing, and encounter routing decisions.

This creates a closed-loop healthcare workflow automation architecture rather than a point-to-point integration that simply transfers data between systems. Workato continuously coordinates information and actions across Epic, KeyCare, PlanBase, MDStaff, and Array's broader clinical technology ecosystem, allowing each assignment to move from initial encounter evaluation through validated execution.

For Array Behavioral Care, the result is a more connected approach to virtual behavioral health operations—one in which provider data is not simply collected and analyzed, but used to automatically execute and verify the appropriate action within the clinical workflow.

Human-in-the-Loop Automation Preserved Clinical Control

Quandary designed the Workato-powered assignment workflow so automation supported Array's clinical operations without overriding appropriate human judgment. Shift Coordinators continued monitoring encounter assignments within Epic and retained the ability to manually reassign work whenever operational or clinical circumstances required intervention.

The automation was specifically designed to recognize and respect those decisions. When a coordinator manually moved an encounter between eligible providers, Workato treated the reassignment as intentional and did not automatically reverse the change.

If an encounter was moved back into the designated unassigned queue, however, Workato recognized that the case once again required assignment. The workflow reevaluated the encounter against the established assignment criteria and attempted to identify the most appropriate eligible clinician.

When no qualified provider could be identified, the system did not force an assignment simply to clear the queue. Instead, the encounter remained available for Shift Coordinator review and manual intervention, helping prevent automation from making an inappropriate assignment when established criteria could not be satisfied.

This created a practical human-in-the-loop healthcare automation model that combined the speed and consistency of Workato with the oversight of Array's clinical operations team: Automate routine assignments → Respect human decisions → Reevaluate returned encounters → Escalate exceptions → Preserve human control. The result was automation designed not to replace clinical operations oversight, but to reduce the volume of routine assignment decisions requiring manual attention while keeping people firmly in control of exceptions and complex scenarios.

Creating an Auditable Trail for Every Provider Assignment

Automated healthcare workflows need to do more than make decisions—they also need to provide visibility into how and why those decisions are made.

For each automated provider assignment, Workato captures the operational data behind the decision, including relevant encounter attributes, eligible provider candidates, ranking criteria, assignment results, and the outcome of the Epic write-back. This creates a traceable record of the workflow from initial evaluation through final assignment.

Rather than operating as a black box, the automation gives Array's operations teams greater visibility into the logic behind each provider match. When a team member needs to investigate an assignment, troubleshoot an exception, or evaluate workflow performance, they can review the information that influenced the decision and understand why a particular clinician was selected.

The audit trail captures the assignment lifecycle: Encounter Data → Eligibility Evaluation → Candidate Provider Set → Ranking Logic → Provider Selection → Epic Write-Back → Assignment Validation

For Array Behavioral Care, this creates an important layer of transparency, operational governance, and accountability around automated encounter routing. Teams gain the ability to analyze assignment behavior, investigate exceptions, and continuously improve workflow performance while maintaining a clear record of how automated provider assignment decisions are executed.

Workato Continuously Rebalances Provider Workloads

The next stage of the solution extends Workato beyond initial encounter assignment into continuous provider workload orchestration. Rather than determining where an encounter should go only once, the automation continuously evaluates provider capacity, active queue depth, shift schedules, and workload distribution to help Array maintain a more balanced clinical operation as conditions change throughout the day.

Workato monitors clinicians who are actively on shift while also accounting for providers approaching the start of their scheduled shifts. When the automation identifies an eligible clinician with an empty or unusually light encounter queue, it evaluates existing assignments to determine whether appropriate opportunities for workload rebalancing exist.

Importantly, greater capacity alone does not trigger a reassignment. Every potential change continues to follow Array's established provider eligibility, credentialing, privileging, scheduling, and encounter assignment rules. Workato first validates that an encounter can appropriately move to another clinician before initiating the reassignment.

This creates a continuous provider workload optimization loop:

Monitor Encounter Demand → Evaluate Provider Capacity → Identify Workload Imbalances → Validate Provider Eligibility → Reassign When Appropriate → Recalculate Operational State

The result is a more proactive approach to clinical workload balancing and virtual behavioral health operations. Instead of relying exclusively on Shift Coordinators to identify underutilized clinicians, monitor uneven queues, and manually redistribute encounters, Workato continuously evaluates the operational environment and identifies opportunities to use available clinical capacity more effectively.

For Array Behavioral Care, this transforms encounter assignment from a one-time routing decision into an ongoing, rules-driven workload orchestration process. Available clinicians can receive appropriate encounters sooner, workload can be distributed more evenly across eligible providers, and Shift Coordinators can dedicate more attention to exceptions, complex situations, and decisions that require human judgment.