Where MDS Assessment Time Really Goes: A Breakdown for Coordinators

Updated December 2025 • 8 min read

The MDS Coordinator Time Crunch

Ask any MDS coordinator how long an assessment takes, and you'll hear a consistent answer: 3-4 hours. Some facilities report faster times for straightforward cases; complex residents with multiple comorbidities can take significantly longer.

For a coordinator responsible for 20-30 assessments per month, that's 60-120 hours of MDS work—often squeezed between meetings, interruptions, and the constant pressure of ARD deadlines.

The consequences are predictable:

Understanding where assessment time actually goes is the first step toward finding solutions—whether that's workflow improvements, additional staffing, or technology assistance.

Who This Guide Is For: MDS Coordinators, Directors of Nursing, Administrators, and anyone evaluating ways to improve MDS efficiency.

Where Assessment Time Actually Goes

MDS assessment time falls into five categories:

1. Documentation Review

Reading through clinical notes, physician orders, therapy evaluations, nursing assessments, and hospital records. For a new admission with a thick discharge packet, this alone can take an hour or more.

2. Data Extraction

Finding the specific clinical data needed for each MDS section. This means hunting through pages of notes to find the right diagnoses, functional scores, medications, and conditions.

3. Resident Interaction

Conducting required interviews: the BIMS for cognitive status, PHQ-9 for mood, pain assessments, and other sections that require direct resident contact. This time is relatively fixed—you can't automate a conversation.

4. Section Completion

Entering data into the MDS system, selecting appropriate codes, and ensuring consistency across sections.

5. Validation

Cross-checking entries, resolving discrepancies between sections, reviewing for errors, and ensuring the assessment will pass validation edits.

Key Insight: Categories 1 and 2—documentation review and data extraction—typically consume the largest portion of assessment time. These are also the tasks most amenable to technology assistance.

The Documentation-Heavy Sections

Not all MDS sections are created equal. Some require extensive documentation review; others have more predictable time requirements.

High Documentation Burden

Section GG (Functional Abilities and Goals): Under PDPM, Section GG directly drives PT and OT reimbursement. Accurate scoring requires reviewing therapy evaluations, nursing ADL documentation, and often multiple days of records to capture the resident's typical (not best) performance. This section alone often takes longer than several simpler sections combined.

Section I (Active Diagnoses): Mapping all relevant diagnoses to ICD-10 codes requires reviewing physician notes, hospital records, medication lists, and lab results. Missing diagnoses means missing NTA points—and potentially significant reimbursement.

Section J (Health Conditions): Pain assessments, fall history, and other health conditions require pulling data from multiple documentation sources and time periods.

Section N (Medications): Medication reconciliation requires reviewing pharmacy records, physician orders, and MAR documentation to capture all relevant medications received during the lookback period.

More Predictable Time Requirements

Section C (Cognitive Patterns): The BIMS interview has a standardized format—time is primarily interview time, not documentation review.

Section D (Mood): The PHQ-9 is a structured interview with consistent time requirements.

Section A (Identification): Administrative information that's typically quick to complete.

Reduce Documentation Review Time

MDS Genie™ extracts clinical data from your documentation and pre-populates Section GG, diagnoses, and more—designed to cut assessment time by up to 60%.

Learn About MDS Genie

What AI Can and Cannot Do

AI-assisted MDS tools are designed to reduce the documentation burden—not replace clinical judgment. Understanding what AI handles well vs. what requires human expertise helps set appropriate expectations.

Where AI Can Help

What Still Requires Human Judgment

The Right Mental Model: Think of AI as a research assistant that does the documentation review so you can focus on clinical judgment and resident care. It extracts and suggests; you review and confirm.

Evaluating MDS Automation

If you're considering MDS automation tools, here's what to look for:

Questions to Ask Vendors

Realistic Expectations

No tool eliminates MDS work entirely. Resident interviews still require face time. Complex cases still require clinical judgment. The goal is to reduce the documentation burden so coordinators can focus on what requires their expertise.

When evaluating time savings claims, ask how they were measured and whether they align with your facility's documentation practices and case mix.

Note: Time savings vary by facility, case mix, documentation practices, and workflow. Any tool should be evaluated against your specific needs and validated in your environment.

See How MDS Genie Works

MDS Genie™ is designed to help MDS coordinators work faster without sacrificing accuracy. See how AI-assisted coding works with your documentation.

Schedule a Demo

Frequently Asked Questions

How long does a typical MDS assessment take?

Most MDS coordinators report that a complete MDS 3.0 assessment takes 3-4 hours. This includes reviewing clinical documentation, conducting resident interviews, completing all sections, and validating the assessment. Complex cases with multiple comorbidities can take longer.

Which MDS sections take the most time?

Documentation-heavy sections typically take the longest: Section GG (Functional Abilities) requires cross-referencing therapy evaluations and nursing notes; Section I (Active Diagnoses) requires mapping conditions to ICD-10 codes; and Section J (Health Conditions) requires reviewing multiple sources. Interview-based sections like the BIMS and PHQ-9 have more predictable time requirements.

Can AI replace MDS coordinators?

No. AI can assist MDS coordinators by automating documentation review and data extraction, but clinical judgment remains essential. Resident interviews, complex case decisions, and final validation require experienced MDS professionals. AI is a tool to reduce administrative burden, not a replacement for expertise.

Where can AI help with MDS assessments?

AI is most effective at documentation-intensive tasks: extracting functional scores from therapy notes, mapping diagnoses to ICD-10 codes, identifying NTA-qualifying conditions, and cross-referencing information across multiple documents. These are tasks that require reading large amounts of text—exactly where manual processes are slowest.

What parts of MDS still require human judgment?

Resident interviews (BIMS, PHQ-9, pain assessments) must be conducted in person. Complex clinical interpretation where documentation is ambiguous requires professional judgment. Care planning, final validation of all entries, and audit defense all require experienced MDS coordinators.