Reducing Risk in Maternal Care: The Power of Personalizing Competency Development
ASHRM CE Credit: 0.25
A PowerPoint presentation from a webinar with Trisha Coady who reviews the impact personalizing competency development and Artificial Intelligence can have on adverse events through an obstetric lens.
Building clinical competence and confidence is the cornerstone of delivering complex care safely. In fact, a recent study highlights that up to 65% of adverse patient events could have been prevented if better decisions were made. Trisha Coady, BSN, RN, CPM, Senior Vice President Workforce Development at HealthStream reviews the impact personalizing competency development can have on identifying and mitigating risk, and the value of taking a layered approach to developing against those identified risk areas, using obstetrical care as an example.
Learning Objectives:
- Understand the value of leveraging artificial intelligence (AI) to personalize competency development and identify potential risk areas.
- Learn how taking a layered approach to development can help clinicians navigate high-risk emergencies for obstetrical patients, a major cause of litigation.
- Gain insight into actionable strategies that can be implemented to reduce risk with maternal care teams, as well as other patient-facing teams.
| Product Code | 322031OD24 |
| ASHRM CE Credits | 0.25 |
| CNE Credits | 0 |
| Domain | Clinical Patient Safety |
| Level - Foundational (F), Practitioner (P), Advanced (A) | F |
| Publication Date | 4/12/24 |
| Next Review | 7/01/25 |
| Credit Expires | 7/01/26 |
For questions regarding this webinar, contact ASHRMEd@aha.org
Speaker Bio
As a nationally recognized expert on new technologies and professional development in health care, Trisha Coady serves as HealthStream’s top clinical officer where she leads the company's workforce development solutions. Trisha began her career over 25 ago in nursing working in ICU, flight nursing, and organizational development. In 2005, she founded a health care-specific content and social learning firm that won numerous awards for innovation and accelerated user adoption. Since starting with HealthStream nearly 10 years ago, she’s led the development and implementation of several new solutions incorporating emerging technologies and information systems, such as a learning-specific taxonomy, artificial intelligence and virtual reality. Having worked in health care over the last 3 decades as a nurse, educator, and entrepreneur, Trisha brings a unique perspective to innovative learning strategies in healthcare.