Empower your behavioral health organization with real-time analytics to streamline both inpatient and outpatient operations, reduce risk, and elevate care.
Length of Stay Volatility
Unpredictable admissions, discharges, and AMAs make it difficult to forecast staffing needs and project revenue accurately.
Revenue Reconciliation Gaps
Incomplete billing data makes it hard to close the month accurately, leading to mismatched gross and net revenue figures.
Leaky Revenue Cycle
Manually optimizing inpatient and outpatient billable services is time-consuming, error-prone, and expensive.
Address the distinct challenges of acute psychiatric hospitals, outpatient clinics, and residential treatment centers.
In the fast-paced, chaotic setting of acute psychiatric hospitals, Megadata delivers the consistent insights needed to maintain financial stability and operational efficiency.
Track Census Trends: View daily census, year-over-year comparisons, and seasonal patterns to address volatility.
Monitor Discharges: Analyze average length of stay (ALOS) by department or payer to improve consistency.
Optimize Staffing: Correlate staffing metrics with census data in real-time, cutting down on overtime and overstaffing.
Megadata helps residential treatment facility leaders optimize their business by analyzing referral trends and tracking census data—ensuring consistent revenue, efficient operations, and a better patient experience.
Improve Payer Mix: Track referral sources and payer type to balance reimbursement rates and costs effectively.
Analyze Patient Retention: Identify AMA trends and implement strategies to reduce early departures.
Track Level-of-Care Transitions: Evaluate census data by stage of care to maximize revenue across the continuum.
Streamline Labor Allocation: Use census data to align staffing levels with anticipated patient needs.
Facing high no-show rates and unpredictable scheduling, Megadata helps outpatient leaders track attendance, align staffing, and boost reimbursement—ensuring stable revenue and efficient operations.
Optimize Clinician Productivity: Measure productivity metrics to ensure staffing aligns with patient needs and revenue targets.
Track No-Show Rates: Analyze attendance patterns to adjust scheduling and staffing proactively.
Visualize Real-Time Census: Easily access data on patient attendance, service utilization, and staff-to-patient ratios.
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