Mental Health & Better Access Quality Improvement - Activity 1

June 9, 2026

Data cleansing ensures your mental health register is accurate, up-to-date, and supports high-quality care, QI reporting, and compliance. The process involves identifying and archiving inactive patients, correcting missing or uncoded data, and ensuring all relevant clinical information is coded and current.

Preparation 

  1. Assemble your QI/data team: Include clinical, admin, and IT staff. 
  2. Back up your database: Always back up before making bulk changes. 
  3. Ensure your practice has access to POLAR for reporting and cross-checks. 
  4. Review relevant guides: 

Step-by-step guide 

Step 1: Identify and Archive Inactive Patients 

Best Practice Premier 

  • Go to Utilities > Search > Deactivate Patient. 
  • Use the search criteria (e.g., “Not seen since” a chosen date, such as 2 years ago). 
  • Review the list and select patients to archive. 
  • Deactivate in bulk or individually as appropriate. 
  • Database Search: Mark patients as inactive or deceased 

Medical Director 

  • From the main menu, click Search > Patients
  • Tick “Not seen since” and enter your cut-off date. 
  • Run the search and review the list. 
  • To inactivate a patient: 
  • Select the patient, click Edit, and set status to “Inactive”. 
  • Save changes. 
  • For bulk inactivation, repeat as needed. 
  • Database Search: Mark patients as inactive or deceased 

Step 2: Clean Up Uncoded or Free Text Diagnoses 

Best Practice Premier 

  • Use the Past History Cleanup tool: 
  • Go to Utilities > Past History Cleanup. 
  • Review uncoded (free text) entries. 
  • Map each to a coded diagnosis using the dropdown list. 
  • Replace free text with the appropriate code. 
  • Ensure all mental health diagnoses are coded, not free text. 
  • Database Search: Mark patients as inactive or deceased 

Medical Director 

  • Go to Patient > Past History. 
  • Review for uncoded or duplicate entries. 
  • Link or replace free text with a coded diagnosis. 
  • Remove duplicates and mark resolved/irrelevant items as inactive. 
  • Patient Database Clean-up Tips 

Step 3: Review and Update Demographics and Clinical Data 

  • Check for missing or outdated demographic fields (e.g., address, phone, Medicare number, Indigenous status). 
  • Update missing clinical items (e.g., allergies, medications, recalls, reminders). 
  • Remove or update old, irrelevant, or duplicate entries. 
  • Ensure all allergies and adverse reactions are recorded and coded. 

Step 4: Review and Update Mental Health Medications and Diagnosis 

  • Identify patients on mental health medications without a coded diagnosis. 
  • Use your software’s reporting tools to generate these lists for follow-up. 

Step 5: Document and Reflect 

  • Record the number of records archived, diagnoses coded, and missing data corrected. 
  • Use audit worksheets or run charts to track progress. 
  • Reflect as a team: What worked? What needs improvement? 
  • Schedule regular (e.g., annual) data cleansing as a standing QI activity. 

Key Tips and Resources 

Summary table

Step Best Practice Premier Medical Director
1. Archive Inactive Patients Utilities > Search > Deactivate Patient Search > Patients > Not seen since
2. Clean Up Diagnoses Utilities > Past History Cleanup Patient > Past History
3. Update Demographics/Clinical Patient record > Edit fields Patient record > Edit fields
4. Review Mental Health Medications and Diagnosis Reports Reports
5. Document & Reflect Audit worksheet/run chart Audit worksheet/run chart
Sample Audit Worksheet: Data Cleansing for Mental Health

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The purpose of this activity is to ensure all patients prescribed medications commonly used for mental health conditions (e.g., antidepressants, antipsychotics, mood stabilizers) have an appropriate, coded mental health diagnosis in their record. This supports safe prescribing, accurate clinical records, and quality improvement.
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