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Oracle Modern Best Practice for Healthcare Provider—Expense Report to Reimbursement
Expense Report to Reimbursement
Inefficient expense processing increases administrative costs and lowers the bottom line for healthcare providers. Oracle Modern Best Practice leverages mobile, social, analytics, and the cloud to help you streamline expense reporting and reimbursements and gain tighter fraud controls. Make it easy for your staff to securely submit expense reports on any device, at any time. Easily approve or reject expenses by monitoring expense reports while interacting with staff and managers across your entire institution.
Mobile. Analytics. Social.Define Expense Policies
Configure organizational expense policies, templates, approval rules, and audit processes. Maintain the terms and conditions to be accepted before expense report submission.
Mobile. Analytics. Social.Process Expense Reports
Enable employees and others (department heads, clinic supervisors, employees, and 1099 workers) to create and submit expense reports via self-service and calendar events. Submit expense reports on the go with any mobile device. Easily create expense reports with a snapshot of receipts or a voice recording.
Mobile. Analytics.Process Credit Card Feeds
Enable the timely, secure approval of reports and payments by department head, clinic supervisor, or other authorized person with automated credit card integration.
Mobile. Analytics.Manage Cash Advances
Enable employee self-service submission and processing of cash advance requests. Actively monitor and follow up on overdue cash advance balances with automated notifications.
Mobile. Analytics.Manage Employee Travel
Integrate with GetThere to enable direct access to travel booking sites, rule-based reservations, automated itinerary downloads, and automated creation of expense reports.
Mobile. Analytics.Analyze and Audit
Leverage audit policies, lists, and selection criteria to automate expense report audit processes in accordance with business policy and statutory reporting. Automate analysis of high-risk transactions with preset controls.