How CAE’s Integrated Data Improves Healthcare Training- 3 Benefits

| Roxanne Blanford

Healthcare educators and providers alike are increasingly becoming reliant on decision support systems (DSS) to facilitate decision making within their institutions. In light of the potential benefits of data-driven intelligence, this growing trend should come as no surprise.

When implemented properly, objective data can encourage institutional growth, increase organizational productivity, and solidify training initiatives for better utilization of operational strengths while giving institutions invaluable opportunities to proactively mitigate obstacles to success. 

The goal is to arm clinical training facilitators with the analytical tools needed to automate processes, optimize decision making, maximize resource and cost management and deliver appropriate training to enhance patient care. 

CAE's Educational Solutions

How Data Analytics Works in Healthcare Education 

Data-driven insights prove to be quite useful in clinical education.

Not only can analytics help improve the decision-making process (by availing training center managers with empirical data on how actual learners behave and how actual resources are being consumed), but with access to real-time, in-depth and objective information, educators can more readily identify training gaps and performance trends, and take appropriate actions to improve the training program. 

For example, ultrasound training instructors can keep track of learner progress data, monitor assets and inventory, and stay abreast of operational costs and maintenance logs with secure data. Relevant information can be shared and transmitted across the enterprise, allowing more stakeholders and decision-makers to benefit from this knowledge. Learn About the CAE VimedixAR ultrasound training simulator, enhanced with Microsoft HoloLens!

3 Areas Where Data-Driven Insights Prove Most Beneficial 

Training solutions which leverage the collection of cloud-based metrics, with interpretation and analysis, contribute to continuous improvement in healthcare education programs in several ways, including:

Students and Learning

  • Standardized training criteria increases objectivity in evaluations
  • Individual learners can self-evaluate behavior in relation to others
  • Training can be tailored to the individual, based on learner aptitudes 
  • Gain more reliable, consistent measurement of learner performance

Instructors and Training Facilitators

  • Secure, cloud-stored data to ensure instructors have quick access to learner records
  • Cost-effective scale of training across locations (mobile, virtual environments, web access, etc.)
  • Opportunities for self-directed learning that reduces instructor burden
  • Data-driven evaluations for unbiased feedback and training assessment

Decision Making and Operational Efficiencies

  • Drives actionable, fact-based and objective decisions 
  • Enables new development of curriculum offerings based on program effectiveness and best practices 
  • Enhances and improves the learner experience, and can reduce program operation costs
  • Better determination of gaps/needs in training, facility management, and instructor effectiveness

The above is just a sampling of the many advantages of integrating data analytics within healthcare education. From peer-to-peer learning that can save precious instructor time, to heightening the overall effectiveness of clinical education programs and providing tools for better decision making and efficient resource management, insights obtained from healthcare training data can have a decidedly positive impact on education programs.

Join CAE Healthcare for the 20th anniversary of the  International Meeting on Simulation in Healthcare (IMSH 2020) from January 18-22.

Discover how the confluence of technology, data, and superior simulation can help to make healthcare safer.

CAE Comes to IMSH 2020

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