Length of Stay Dashboard Reference Guide

This feature is currently limited-release only. For more information, please contact your Account Manager.

The Length of Stay (LOS) Dashboard gives operators high-level clinical health analysis and portfolio-level move-out projections. Using advanced Move-Out Predictor tools, the dashboard offers predictive portfolio insights to support better operational, staffing, and clinical decisions. 

Dashboard Overview & Key Benefits 

The Length of Stay (LOS) Dashboard helps with anticipating move-outs, understanding length-of-stay patterns, and assessing the reliability of those insights using data already captured in ALIS. It replaces reactive move-out reporting with tools designed for comparison and early intervention.

The dashboard benchmarks your communities against the ALIS 500, a representative index of 500 communities nationwide, so you can evaluate performance in the context of broader industry trends.

With the LOS Dashboard, operators can:

• Anticipate Move-Outs: Use data-driven insights to predict quarterly attrition. Compare projections against actual physical move-outs from previous quarters to refine portfolio-level planning.

• Visualize Trends and Seasonality: Use the Short Stays and Length of Stay Trees to identify where move-outs cluster (e.g., under 90, 180, or 365 days) and to identify seasonal patterns.

• Benchmark Portfolio Performance: Compare length-of-stay distributions across communities and against the ALIS 500 national index.

• Track Data Hygiene: Monitor whether clinical documentation supports accurate predictions through Data Hygiene scoring. 

• Action High-Risk Alerts: Identify high-risk residents early and take proactive steps to improve care planning and retention.

Enablement the LOS Dashboard

This feature is behind an entitlement that must be enabled by the ALIS team. For assistance, contact your Account Manager or our ALIS Customer Success Team. 

Once the entitlement is turned on, there are additional setup steps to take: 

1. Role Permission: Users must be granted specific permission to access the LOS Dashboard. This is not enabled for any role by default.

2. Wellness Index: To populate data for the Portfolio Projection and Data Hygiene tabs, the Wellness Index must be turned on for individual communities. This can be done in Resident Monitoring or Community Settings.

3. Flag Move-Out Predictions: Enable this setting on the Resident Monitoring page to automatically "flag" high-risk residents. 

Access the Length of Stay (LOS) Dashboard 

Click the Dashboard dropdown in the main navigation menu and select the Length of Stay Dashboard.

Short Stays tab

This tab visualizes the distribution of move-outs across your portfolio or specific communities, providing a historical benchmark against the ALIS 500.

To ensure a statistically meaningful report, the graph always aggregates data in exact two-year increments. The Quarter filter reveals data for the two years, or eight quarters, prior to your selection. 

• Example: Selecting 2026 Q1 will display move-out data from 1/1/24–12/31/25. It will not include data from the current year (2026). 

Use this tab and filters to answer critical operational questions such as:

• How many move-outs typically occur within the first 180 days across the company?

• Does Community A have a higher rate of early move-outs (under 180 days) than Community B?

• What are the median or mean lengths of stay for a specific community, and how many total move-outs occurred during that window?

• How do these internal statistics compare to the national ALIS 500 averages?

Length of Stay Trees tab

This tab visualizes resident stay durations to help you identify seasonal trends or community-specific patterns. Each chart includes the ALIS 500 national median, providing constant context for how your results compare to industry standards.

Use the 'Show by:' toggle for two distinct views: 

• Quarter: This view is designed to highlight recurring trends over time. It defaults to a one-year plus one-quarter filter, which is ideal for spotting seasonal shifts. By filtering multiple years, you can determine if move-outs consistently fluctuate during specific times of the year, such as a spike in Q2 or a dip in Q1.

• Community: This view allows you to compare the length-of-stay distributions between specific communities in your portfolio. The Community view utilizes the same two-year data accumulation logic as the Short Stays tab, providing a comprehensive look at long-term patterns rather than short-term fluctuations.

Portfolio Projection & Data Hygiene tabs

The data for these tabs is generated once per quarter and is sourced primarily from LT Care. It is important to note that data only begins to accumulate after the Wellness Index has been enabled for a community, therefore reports will only display content for the specific quarters following that enablement.

Portfolio Projection

This tab predicts move-outs for the current (Active) quarter and compares past projections to actual results. 

• Projected Physical Move-Outs: Projections are established on the first day of each quarter.
• Actual Physical Move-Outs: Tracks confirmed move-outs and can be reconciled using the ALIS Move-Out Report. Actual Physical Move-Outs are calculated at the end of the quarter.
• Occupancy & Census: Displays occupancy percentage and census as of the first day of the quarter. Occupancy is calculated as a quarterly snapshot of active residents (including those on leave) divided by total available beds.

Data Hygiene 

This tab provides a "Confidence Score" (Adequate, Marginal, Inadequate) with a detailed Reason to help you determine if a community's clinical data is adequate for accurate length-of-stay predictions. 

• ALIS measures the volume of clinical documentation, specifically Incidents, Observations, and Medication information, entered into the system.

• To ensure large and small communities can be compared equitably, data is normalized per 1,000 resident days.

• If a community's Data Hygiene is marked as Inadequate or Marginal, the clinical data is not substantial enough for high-accuracy predictions. Increasing the consistency of daily Observations is the most effective way to improve the reliability of the Move-Out Predictor. 

"Flagged" Move-Out Predictions in Resident Monitoring

When the "Flag Move-Out Predictions" setting is enabled within Resident Monitoring, ALIS will identify residents at high risk for move-out and group them in the section labeled Flagged. These flags are triggered by significant changes in patterns detected across Incidents, Observations, and Medications data.

When a resident is flagged, a summary of the clinical data triggering the alert will appear for review. Your clinical team can then take immediate action: 

• + Start Monitoring: Initiate specific alert charting to closely track the resident's status.

• More > Start New Evaluation: Conduct a formal clinical assessment to identify underlying health changes.

• More > Change Care Plan: Adjust the resident's care level or services to support aging in place and improve retention.

Reporting 

In addition to the LOS Dashboard and Resident Monitoring tools, there are other reports available to support your length-of-stay operational efforts: 

• ALIS HQ: Move-Out Predictor Alert Details
• ALIS Native Reports: Move Out (actual move-outs) and Expected Move Outs (Scheduled Move Outs)

FAQs

• How frequently is the LOS Dashboard updated? Reports are typically refreshed and generated on the first Monday of every quarter.

• Why do I see data in some tabs but not others? The Short Stays and Length of Stay Trees tabs are populated with up to four years of historical data immediately upon enablement. However, the Portfolio Projection and Data Hygiene tabs only begin to accumulate and display data after the Wellness Index has been enabled for a specific community.

• What is the "Active Quarter"? While historical tabs provide snapshots of past performance, the Active Quarter view in the Portfolio Projection and Data Hygiene tabs uses live ALIS data to provide real-time monitoring of your current census and documentation levels.

• Why do my move-out numbers look different from my financial reports? The LOS Dashboard tracks Physical Move-Outs to maintain clinical accuracy, while financial move-out dates often differ due to varying billing cycles, for example, so these figures may not perfectly align with your ledger. 

• Why is the ALIS 500 benchmark the same across all my charts? The ALIS 500 represents a stable national median length of stay across 500 representative communities. It is intended to serve as a constant baseline for industry standards rather than a fluctuating quarterly metric.

• How can I improve a "Marginal" or "Inadequate" Data Hygiene score? Since the Move-Out Predictor relies on clinical volume to identify risks, the most effective way to raise these scores is to increase the consistency and frequency of Observations and ensure all Incidents and Medications are charted thoroughly in ALIS. 

For more assistance: 888.404.ALIS (2547)  |  support@go-alis.com