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You Should See the Work Before You Trust the Tool.

FTagAI is built for serious long-term care compliance work. Before starting a trial, leaders should be able to see the kind of work product the platform can help create. This page shows realistic examples of how FTagAI can help research a scenario, review an incident, create staff education, and organize structured compliance documents.

FTagAI is not a generic chatbot. It is built specifically for long-term care F-Tags, survey history, incident review, inservices, Plans of Correction, PIPs, QAPI plans, grievance responses, and root cause analyses.

Frontline Advisor

For fast F-Tag research and survey-history context.

  • Scenario research
  • Potential F-Tag identification
  • Similar survey-pattern examples
  • Regulatory context
  • Immediate action considerations

Each FTagAI Agent Has a Job.

FTagAI includes four specialized AI agents, each designed for a different long-term care compliance workflow.

Incident Reviewer

For reviewing uploaded narratives, investigations, and allegations.

  • Vulnerability analysis
  • Potential citation exposure
  • Missing fact identification
  • Action checklists
  • Documentation and reporting considerations
The Educator

For creating fast, focused staff education.

  • Staff inservices
  • Learning objectives
  • Talking points
  • Competency questions
  • Staff acknowledgment sections
The Architect

For creating structured compliance documents.

  • Plans of Correction
  • QAPI plans
  • Performance Improvement Plans
  • Root cause analyses
  • Grievance responses

Frontline Advisor Examples

Ask a real-world compliance question and FTagAI helps identify potential F-Tags, survey-history context, and practical next steps.

Resident Smoking Materials, Safety, and Rights

Prompt: “How should we handle residents who sign themselves out, buy cigarettes, smoke off property, and then bring smoking materials back into the facility? Our policy does not allow residents to keep smoking materials in their rooms or on their person, but we also cannot search their person or room without violating resident rights.”

Sample Output Summary: FTagAI helps frame this as a safety-versus-rights issue. The facility has a duty to reduce fire hazards, especially when oxygen is present, but residents also have rights to privacy, dignity, personal possessions, and freedom from improper searches.

Potential F-Tags:

  • F689 — Accident hazards and supervision
  • F550 — Resident rights and dignity
  • F557 — Respect, dignity, and resident property
  • F926 — Smoking policy implementation

What FTagAI May Recommend:

  • Update the resident care plan
  • Document the specific fire-safety risk
  • Use a behavioral safety agreement when appropriate
  • Define reasonable suspicion for staff
  • Train staff on what they may and may not do
  • Involve the Ombudsman when safety and rights conflict
  • Consider discharge only when documented endangerment continues after mitigation efforts
Hoyer Lift Sling Inspection

Prompt: “How often do you need to inspect Hoyer lift slings?”

Sample Output Summary: FTagAI helps clarify that mechanical lift slings should be inspected before every use. Monthly or quarterly maintenance checks are important, but they do not replace the direct-care staff responsibility to inspect the sling before each transfer.

Potential F-Tags:

  • F689 — Accident hazards and supervision
  • F908 — Essential equipment in safe operating condition

Immediate Action Checklist:

  • Audit every sling in the building
  • Remove damaged slings from service
  • Train CNAs and nurses to inspect before each transfer
  • Review laundry practices
  • Maintain a written inspection log
  • Include slings in the equipment safety process

Examples are de-identified and illustrative. FTagAI helps organize risk areas and survey vulnerabilities, but it does not substantiate allegations or replace legal, clinical, or compliance judgment.

Incident Reviewer Examples

Upload a narrative, allegation, investigation summary, or facility scenario. FTagAI helps identify vulnerabilities, possible F-Tags, missing facts, and immediate action steps.

Controlled-Substance Diversion Allegation

Prompt: “Analyze this uploaded scenario and identify potential vulnerabilities. The allegation involves possible credential concerns, controlled-substance diversion, inaccurate medication documentation, impairment during shifts, and resident mistreatment.”

Sample Output Summary: FTagAI helps leadership move from allegation to structured investigation by identifying potential F-Tags, missing facts, immediate protective steps, and documentation priorities.

Potential F-Tags:

  • F606 — Not employing barred individuals
  • F607 — Abuse and neglect policies
  • F600 — Freedom from abuse and neglect
  • F755 — Pharmacy services and controlled substances
  • F842 — Accurate medical records

Immediate Action Checklist:

  • Remove the employee from resident contact pending investigation
  • Verify credentials and registry status
  • Audit controlled substances for relevant shifts and units
  • Compare medication administration records to narcotic count sheets
  • Interview residents and staff
  • Preserve surveillance, eMAR logs, badge logs, and medication records
  • Notify required agencies according to policy and state requirements
  • Document every protective action taken

Important Note: FTagAI does not determine guilt or substantiate allegations. It helps organize the compliance review and identify survey vulnerabilities.

Loss of Hot Water and Resident Hygiene Risk

Prompt: “Analyze this scenario and identify potential vulnerabilities. The facility experienced an extended hot-water failure that affected bathing, hygiene, laundry, infection control, and resident dignity.”

Sample Output Summary: FTagAI helps connect facility operations, resident dignity, ADL care, infection control, and administrative oversight into one organized vulnerability review.

Potential F-Tags:

  • F600 — Free from abuse and neglect
  • F677 — ADL care for dependent residents
  • F908 — Essential equipment in safe operating condition
  • F835 — Administration
  • F880 — Infection prevention and control

Immediate Action Checklist:

  • Repair or replace the hot-water system
  • Document water-temperature readings
  • Implement an alternative hygiene protocol
  • Complete a 100% ADL and shower audit
  • Review skin, odor, UTI, and infection-control concerns
  • Create a laundry contingency plan
  • Hold a focused QAPI meeting
  • Document leadership oversight and corrective actions
  • Report the utility failure according to applicable requirements

The Educator Examples

FTagAI can create quick, focused inservices for real operational issues. Each inservice can include learning objectives, talking points, competency questions, and staff acknowledgment language.

Prompt: “Write me a quick inservice about housekeepers properly changing mop bucket water timely and getting the correct ratio of water to disinfectant.”

Housekeeping: Mop Water and Disinfectant Standards

Sample Inservice Topics: When mop water must be changed; Correct disinfectant dilution; Use of chemical test strips; Required dwell time; Clean-to-dirty workflow; Hand hygiene between rooms; Mop-head laundering and storage; Avoiding cross-contamination after isolation rooms or body-fluid spills.

Sample Competency Questions: When should mop water be changed? What should you do if mop water becomes gray or visibly dirty? Why does disinfectant dwell time matter? What should you do after cleaning an isolation room? Who should you notify if the chemical dispenser is not mixing correctly?

Prompt: “Create a quick inservice about properly knocking and waiting for resident acknowledgment before entering a resident’s room.”

Resident Privacy: Knocking Before Entry

Sample Inservice Topics: Knock even if the door is open; Announce your name and role; Wait for resident acknowledgment; Ask permission before entering; Respect the resident’s response; Do not enter immediately after knocking; Do not assume an open door means permission; Protect privacy during dressing, toileting, care, and family visits.

Sample Competency Questions: Do you need to knock if the door is already open? What should you do after knocking? What should you say before entering? What should you do if the resident asks you to come back later? Why is room-entry practice connected to dignity?

The Architect Example

FTagAI can help turn complex facility problems into structured compliance documents, including Plans of Correction, QAPI plans, PIPs, root cause analyses, grievance responses, and corrective action plans.

Prompt

“Create a root cause analysis for an extended loss of hot water that affected bathing, laundry, resident hygiene, infection control, and facility operations.”

Root Cause Analysis for Loss of Hot Water

Problem Statement

The facility experienced an extended hot-water failure that affected resident bathing, hygiene services, laundry operations, and infection-control practices. The issue required immediate corrective action, leadership oversight, and a sustainable monitoring plan.

Potential Root Cause Categories

“Equipment failure”, “Contingency planning gap”, “Documentation gap”, “Leadership oversight gap”, “Communication gap”, “Infection-control risk”.

Corrective Action Plan

  • Repair or replace the hot-water system
  • Verify safe water temperatures
  • Implement an alternative bathing protocol
  • Audit residents for missed showers or hygiene concerns
  • Review infection-control risks
  • Establish a laundry contingency process
  • Educate staff on the temporary process
  • Review the issue through QAPI
  • Monitor for sustained compliance

Monitoring Plan

The Administrator, DON, Maintenance Director, and Infection Preventionist should review water temperatures, bathing documentation, laundry status, and resident hygiene concerns on a defined schedule until the issue is corrected and sustained compliance is demonstrated.

Important Note: FTagAI helps structure the draft, but the facility must customize the final RCA to match the actual facts, corrective actions, policies, dates, and responsible parties.

Built to Support Better Compliance Decisions — Not Replace Them.

FTagAI is a decision-support tool for long-term care compliance. It helps users research faster, organize facts, compare scenarios to survey history, and draft stronger work product. It does not replace professional judgment, clinical judgment, legal advice, facility policy review, or final leadership decision-making.

  • Verify source materials when available
  • Customize all drafts to match facility-specific facts
  • Remove or protect sensitive resident and staff information
  • Follow facility policy and state reporting requirements
  • Use leadership, clinical, legal, and compliance judgment before finalizing any document

Bring Your Next Scenario to FTagAI.

Ask a question. Upload a narrative. Create an inservice. Draft a plan. FTagAI helps turn long-term care compliance questions into practical next steps.

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