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Specialties » Obstetric and Neonatal Quality and Safety (ONQS)

Obstetric and Neonatal Quality and Safety » ONQS (Code 28)

Description

Quality and Safety Assessment and Gap Analysis
  • Methods to assess organization, institutional and environmental culture and patient experience
  • National Quality and Safety standards and clinical guidelines
  • Quality and Safety metrics to identify state of performance, gaps and opportunities
Integrate Quality and Safety in Practice
  • Quality and Safety aims, tools, checklists and communication strategies
  • Team function, leadership, empowerment
  • Training exercises, learning principles, mock codes and simulation
  • Advocating for ongoing resources, risk assessment
  • Inform and disseminate outcome data, benchmarking and transparency
Develop and Implement Quality and Safety into Practice
  • Selecting and monitoring key quality metrics
  • Identify population, measures and data collection
  • Integration into workflow, error prevention strategies and auditing
Evaluation and Measures of Effectiveness
  • Tools of evaluation (Fishbone, flow chart, run chart, control charts)
  • Evaluate the balance between quality, outcomes and cost
  • Strategies for sustainment and positive change
Professional and Ethical Issues
  • Adverse events, disclosure, transparency, patient trust and mitigation
  • Professionalism and ethical principles

Keywords

Accountable human error (at risk, reckless, intentional harm)
Adverse events and event reporting
Appraise and prioritize literature relevant to project
Assess and improve organizational culture
Assessment strategies
Benchmarking
Blameless human error (inadvertent)
Care transitions
Clinical practice guidelines in obstetrical and neonatal care
Collaborations and effective communication strategies
Common methods for Q&S improvement initiatives
Data collection strategies (Process tools, Huddle tools, Trigger tools & Chart review)
Data on key quality indicators (i.e., benchmarking/accountability)
Data standardization and retrieval
Debriefing
Develop goal statements
Difference between quality improvement projects and research
Different types of error
Dimensions of quality (Donabedian)
Domains of quality
Elements of effective disclosure
Errors and Risk reduction strategies (i.e., Bundles, Checklists, Flow sheets, Barcodes)
Ethical principles (Fairness, truthfulness, justice, beneficence, nonmaleficence, autonomy)
Gap analysis
General Q&S principles and terminology
Handoffs
Healthcare quality improvement goals
Human factors that impact the work environment
Human psychology and cognition
I-PASS
Identification of waste
Implement and evaluate data collection strategies
Improvement process
Improvement tracking
Incident/safety reports
Institutional processes and priorities
Interplay between costs, quality and value
Leadership
Legal/statutory and national quality and safety standards in obstetrical and neonatal care
Measures and metrics
Mentoring
Methodologies of data display
Methods for determining human resource needs
Metrics
Models for improvement (i.e., PDSA/PDCA, Improve, Six sigma, Lean)
Opportunities for improvement
Organizational culture (Culture & Just culture)
Outcomes and performance improvement (i.e., Run charts, Control charts)
Participation and shared decision making
Principles of simulation (Unit drills, Simulated care processes)
Project team formation and dynamics
Psychological harm experience by the patient and second victims
QNS data to various stakeholders (i.e., Annual reports, publication, public reporting)
Quality and safety principles and terminology
Quality assurance versus quality improvement
Quality versus safety
Relevant aspects of structural design standards
Risk adjustment
Safety climate
SBAR
Standardization of EMR
Standardized communication
Steps in project sustainability (i.e., Communication, Reporting, Ongoing ownership)
System error
System goals
Systems thinking
Team development
Technology in quality improvements
Threats to implementation and sustainability (i.e., Competing priorities, Project fatigue, Knowledge degradation)
Types of error
Types of metrics
Understanding and mitigating psychological harm experience by the patient and second victims