Under the Patient Driven Payment Model, or PDPM, Medicare Part A payment for skilled nursing stays is based on the characteristics of the resident rather than the volume of therapy delivered. Those characteristics are captured on the Minimum Data Set (MDS 3.0), which means the quality and timing of MDS work now sits very close to the financial health of the building.
Most operators already know this. What is harder is seeing it clearly: knowing, week to week, whether assessments are on time, whether coding reflects the resident's real needs, and whether trends in one building look different from another. That is where analytics earns its place.
What PDPM Changed for Operations
Because payment follows the assessment, the MDS is no longer a back-office form. It is a core operating process that touches nursing, therapy, social services, dietary and the business office. A few implications follow:
- Accuracy matters in both directions. Coding that misses documented needs can underpay the building, and coding that is not supported by documentation creates risk.
- Timing matters. Assessments completed late or out of sequence create problems for both care planning and billing.
- Coordination matters. The information on the MDS comes from many disciplines, so gaps usually show up as handoff problems rather than individual mistakes.
What to Measure
You do not need dozens of metrics to get started. A practical first set includes:
- Assessment timeliness. How many assessments are due this week, completed, and overdue, by building and by assessment type.
- Completion workload. How many open assessments each MDS coordinator is carrying, so you can see strain before it becomes a backlog.
- Case-mix trends. Changes in the resident mix over time, viewed by building and by payer, so leaders notice shifts that deserve a closer look.
- Admission-to-first-assessment flow. How quickly new admissions move into the assessment process.
- Billing hold items. Claims waiting on assessment or documentation issues.
Look for Patterns, Not Blame
When a number moves, resist the urge to assume someone is doing something wrong. In practice, shifts in case-mix or timeliness often trace back to process changes such as a staffing gap in the MDS role, a new admissions workflow, or documentation arriving late from another department. Analytics is most useful when it points to the process rather than the person.
A Hypothetical Illustration
Picture a hypothetical group with four skilled nursing buildings. A regional reviewer notices that one building has a growing list of assessments approaching their due dates, while the others are steady. Drilling in, the list traces back to a coordinator vacancy that has been covered informally. With the workload visible, leadership can decide whether to provide temporary support, rebalance work across buildings or adjust the schedule, and then watch the same view to see whether the backlog shrinks.
Nothing in that example required complicated modeling. It required a clear, current view of work that already existed in the EHR.
Where the Data Comes From
Most of what you need already lives in PointClickCare or your EHR of choice, along with billing and payroll systems. The challenge is that it is spread across screens and reports. A good analytics layer pulls these together, standardizes definitions and refreshes on a schedule so leaders are not waiting for month-end summaries.
Practical Guardrails
- Keep clinical decisions clinical. Analytics should surface workload and timing, not tell clinicians how to code or assess.
- Define terms up front. Agree on what counts as on time, completed and overdue before building reports.
- Protect resident information. Use the minimum necessary data for each audience, and show summaries to leaders who do not need identifiable detail.
- Review compliance questions with qualified experts. Dashboards help you see; your compliance and reimbursement advisors help you interpret.
A Weekly Rhythm
Many teams find a simple weekly rhythm works well. Start the week with a short review of assessments due and overdue. Midweek, check on anything flagged. Monthly, step back to look at case-mix and billing hold trends across buildings. Keep the meeting short and the follow-up specific.
Getting a Clear View
CarePulse Analytics brings PointClickCare data together with the rest of your operational systems so MDS timing, workload and trends are visible in one place. If you would like to see what that looks like with your own buildings, a demo is a low-pressure way to find out.