# Clinical Cases: Patient Safety and Quality Improvement ## Case 1: Swiss Cheese Model and Medication Error ### Clinical Image ![Swiss Cheese Model](case_01_image.jpg) *Source: [Wikipedia - Swiss cheese model](https://en.wikipedia.org/wiki/Swiss_cheese_model) - CC BY-SA 4.0* ### Case Presentation A 65-year-old male with chronic kidney disease (GFR 28 mL/min) is admitted for cellulitis. The admitting intern orders vancomycin at a standard dose of 1g IV every 12 hours without renal adjustment. The hospital's CPOE system generates a renal dosing alert, but the intern clicks through it as she has been conditioned to override "frequent" alerts. The pharmacy is short-staffed overnight and the order is verified without clinical review. The nurse administers the medication as ordered. After 5 days, the patient develops acute kidney injury and ototoxicity. Root cause analysis using the Swiss cheese model reveals multiple defense layer failures: (1) physician layer - ordering error with alert fatigue contributing to override; (2) pharmacy layer - inadequate verification due to staffing; (3) nursing layer - no independent dose calculation for high-risk medication; (4) system layer - excessive alerts causing desensitization. The error passed through aligned holes in all defense layers. Recommendations include: implementing mandatory hard stops for vancomycin in renal impairment, pharmacy staffing review, nurse education on renal dosing, and reducing low-value alerts to combat alert fatigue. ### Key Learning Points - The Swiss cheese model illustrates how errors reach patients when holes in multiple defense layers align simultaneously - Human factors including alert fatigue, cognitive overload, and staffing constraints create vulnerabilities in safety systems - Effective prevention requires multiple safeguards at different system levels so that when one fails, others prevent harm --- ## Case 2: Second Victim and Error Disclosure ### Clinical Image ![Patient Safety Reporting](case_02_image.jpg) *Source: [Wikipedia - Patient safety](https://en.wikipedia.org/wiki/Patient_safety) - CC BY-SA 4.0* ### Case Presentation A 28-year-old male internal medicine intern fails to follow up on a CT scan showing a pulmonary embolism in a 55-year-old female admitted for shortness of breath. The result was posted in the chart at 11 PM but the intern, exhausted after a 28-hour shift, signed out without reviewing pending studies. The covering physician assumed the day team had addressed all results. The patient was discharged the next morning by the incoming team who also missed the result. Three days later, the patient presents to the ED with massive PE and dies despite resuscitation efforts. The intern is devastated, experiencing intense guilt, shame, and questioning whether he should continue in medicine. He is unable to sleep and replays the events constantly. His program director recognizes signs of second victim syndrome and connects him with peer support and EAP counseling. He participates in disclosure to the family with the attending, expressing sincere apology for the failure. The incident leads to implementation of a mandatory critical results notification system. Through processing with support, the intern gradually integrates the experience, recognizing that while his error contributed, system failures in result notification played a major role. He becomes an advocate for patient safety and eventually presents the case at a national conference. ### Key Learning Points - When errors occur, systematic response includes patient stabilization, reporting, documentation, disclosure, and learning activities - Medical error disclosure requires honesty about what happened, expression of sincere apology, explanation of contributing factors, and commitment to prevention - Second victim syndrome affects healthcare workers involved in adverse events and requires recognition, peer support, professional resources, and organizational support --- ## Case 3: Quality Improvement Using PDSA ### Clinical Image ![Quality Improvement Cycle](case_03_image.jpg) *Source: [Wikipedia - PDCA](https://en.wikipedia.org/wiki/PDCA) - CC BY-SA 4.0* ### Case Presentation A 27-year-old female family medicine resident notices that diabetic patients in her continuity clinic frequently miss their annual eye exams, with only 35% completion rate compared to the national goal of 60%. She proposes a quality improvement project using the PDSA (Plan-Do-Study-Act) methodology. **Plan**: She hypothesizes that lack of reminder systems and inconvenient scheduling contribute to low rates. She designs a small test: for 20 diabetic patients, the MA will provide an eye exam reminder card at checkout and offer to schedule the appointment immediately. **Do**: The intervention is implemented for one month. Data collection includes tracking how many patients receive cards and how many schedule appointments. **Study**: Analysis shows 15/20 patients received cards (3 rushed checkouts, 2 MA forgot), and 8/15 scheduled appointments (53% uptake). Patient feedback reveals that the cards were helpful but some preferred phone reminders. **Act**: Based on learning, she modifies the intervention to include MA checklist prompts and adds phone reminder option. She expands to all diabetic patients over the next quarter. After 6 months, eye exam completion rises to 52%. She presents findings at the clinic's QI meeting and the intervention is adopted practice-wide. ### Key Learning Points - Quality improvement differs from research in its focus on local process improvement through iterative cycles rather than generating generalizable knowledge - The PDSA cycle (Plan-Do-Study-Act) provides a structured methodology for testing changes through small-scale implementation, learning, and refinement - Quality measures include process measures (percentage receiving reminders), outcome measures (exam completion rates), and balancing measures (clinic flow impact)