
A regional outpatient rehabilitation practice provides therapy and rehabilitation services across five states. With approximately 1,100 employees supporting a growing network of locations, the organization processes thousands of patient visits each month.
Inconsistent Prior Authorization Processes Delayed Patient Care
Many of our client's patient's visits required prior authorization from commercial insurers, Medicare Advantage plans, Medicaid programs, and other payers. Requirements varied considerably by payer, plan, treatment type, and state. Some authorizations required clinical evaluations, physician orders, treatment plans, progress notes, diagnosis codes, or evidence of medical necessity.
Employees relied on spreadsheets, email, payer portals, shared documents, and manual follow-up to manage authorization requests. Without a centralized system, teams struggled to determine which requests were complete, which required additional documentation, and which were approaching expiration or service limits.
The fragmented process created several operational challenges:
As patient volume increased, the organization needed a scalable way to coordinate prior authorizations across its entire network. The solution needed to improve speed and consistency while ensuring qualified employees retained control over payer submissions and patient-care decisions.
An AI-Assisted Prior Authorization Platform Built with Quickbase, Workato, and Claude
Quandary Consulting Group designed and implemented a centralized prior authorization operations platform using Quickbase, Workato, and Claude. The solution coordinated the entire administrative authorization lifecycle while connecting employees with the clinical, insurance, and operational information required to process each request.
Quickbase became the organization’s central operations platform for managing prior authorizations across every location and state. Each authorization was captured in a standardized record containing:
Every request moved through a clearly defined workflow, from initial identification and documentation review through payer submission, approval, denial, escalation, or renewal.
Role-based work queues showed employees exactly which cases required their attention. New requests were routed to the correct authorization specialist based on payer, location, state, and service type. Managers could reassign work when volumes increased or employees were unavailable.
Quandary configured documentation checklists that adapted to the requirements of each payer, plan, and treatment type. When a new request entered the platform, the system identified the applicable requirements and generated a tailored checklist. Depending on the authorization, required materials could include:
The platform prevented incomplete cases from being treated as submission-ready. If documentation was missing, the request entered an exception workflow that identified the outstanding item, assigned responsibility, and generated follow-up reminders.
This helped employees resolve documentation gaps earlier—before they delayed a scheduled appointment or caused an avoidable denial.
Claude was incorporated as an assistive document-intelligence layer. It helped authorization specialists review approved clinical and administrative materials without independently making coverage, clinical, or submission decisions. Claude analyzed available documents and created a concise case summary containing relevant information such as:
Claude compared the available materials with the applicable documentation checklist and highlighted items requiring employee review. It also prepared draft authorization narratives using information contained in the approved patient record.
Qualified employees reviewed every AI-generated summary and draft before it was used. Authorization specialists retained full authority over the final narrative, supporting documentation, payer submission, escalation, and appeal. This human-in-the-loop structure increased administrative efficiency while protecting professional judgment and accountability.
Workato connected the authorization platform with the organization’s existing clinical, scheduling, document-management, and communication systems. Automated workflows transferred approved information between systems and triggered the appropriate action when an authorization changed status. Depending on the workflow, Workato could:
This integration reduced duplicate data entry and helped ensure that authorization, clinical, and scheduling teams worked from consistent information.
The platform continuously monitored requests for conditions that could affect scheduled care. Automated alerts notified employees when:
Instead of manually checking every open request, employees could concentrate on exceptions with the greatest operational or patient-care impact.
Quickbase dashboards gave managers and executives real-time visibility into prior authorization operations across the five-state network. Leadership could monitor:
Role-based security limited employees to the information required for their responsibilities. Detailed histories documented assignments, status changes, notes, approvals, AI-assisted outputs, employee validation, and submission activity.
Faster Authorizations and Fewer Disruptions to Patient Care
Automated routing, standardized checklists, AI-assisted document review, and proactive exception management reduced authorization turnaround time by 46%. Complete requests reached the appropriate specialists sooner, while documentation gaps were identified earlier in the process.
Scheduling and authorization teams gained a shared view of approval status, outstanding requirements, visit limits, and expiration dates. Proactive alerts gave employees more time to resolve authorization issues before they interrupted scheduled rehabilitation services.
Dynamic checklists helped employees assemble the correct materials for each payer and treatment type. Claude-assisted reviews highlighted potentially missing or inconsistent information, while qualified specialists validated every request before submission.
Employees spent less time searching through documents, manually creating summaries, entering information across multiple systems, and checking the status of routine requests. Exception-based workflows allowed specialists to focus on complex cases, denials, appeals, and payer follow-up.
Role-based access, standardized approvals, employee validation, and detailed activity histories created a consistent record of how each authorization was prepared and processed. Leadership gained greater confidence that AI-supported work remained subject to appropriate human oversight.
Real-time dashboards gave leadership a network-wide view of authorization performance, payer trends, employee workloads, and causes of delay. Managers could identify bottlenecks sooner, allocate resources more effectively, and improve processes across locations.
Ultimately, the platform helped the organization process prior authorizations faster, reduce administrative friction, and protect continuity of care across its outpatient rehabilitation network.
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