Automation finds timecard exceptions, notifies managers and escalates issues. It extracts incomplete timecards from Kronos and uses business rules to identify exceptions. Depending on the reason and circumstances, it signs-off on unapproved timecard or alerts appropriate manager for their action, either in batches or one-by-one. If a manager has multiple employees with issues, the messages are consolidated into a single alert. Over set time periods and until issue resolution, the solution escalates three times (i.e., manager, manager’s manager, etc.).
While not diagnosing a medical condition, the automation uses patient data from medical evaluations performed by registered nurses (RN). Applying rules to medical codes entered by the RN, it sets the patient’s status as “normal” or “SIA”, and, as applicable, sends SIA alerts to the individual members of the patient’s direct care team advising that they need to immediately get to their patient. It results in improved patient care, services for their families, and revenues for the organization in support of its mission.
Automation enables immediate action on referral. Using simplified data-entry screen, intake team and referring physician work together to load the patient’s medical data into the system (e.g., diagnoses, demographics, insurance coverage, circumstances). Using rules and workflows, automation (1) identifies follow-up admission tasks and required face-to-face visits, (2) assigns the direct care service team by location, (3) prepares electronic medical record and (4) provides draft clinical notes to care team for review and submission.
Automation retrieves payroll and timesheet information from ADP and health information systems for each of its staff. It applies business rules based upon worker’s location, schedule, discipline, and assigned patients to calculate the necessary direct and indirect cost center allocations and then loads the results into the financial systems for reporting. A secondary impact, the improved reporting accuracy increased care team utilization.
Read how this organization built an automation that uses NetSmart electronic medical record (EMR) and the organization’s data warehouse in order to identify patients being served. Next, it uses myAbility to evaluate patient’s current and prior circumstances to determine eligibility for Medicare insurance. The results are added to the patient’s EMR for use by claims and billing teams. Also, non-Medicare insurance outcomes are flagged for review by the Billing team.