How Generative AI Will Revolutionize Talent Insights and Candidate Relations
The latest development in the field of Artificial Intelligence has garnered considerable attention for its potential applications in healthcare talent engagement. Generative AI involves the creation of original content by learning from existing data based on massive learning models combing through unstructured data sets from a broad range of topics.
Generating Actionable Knowledge with AI
This AI variant opens intriguing possibilities for creative work, next-generation chatbots, and much more. Generative tools such as ChatGPT have demonstrated ability to create reports, images, and many other complete outputs based on simple search requests. The capability for automation and streamlined operations can play an integral role in engaging new executive talent and interacting with potential leadership candidates.
Talent Insights
Analyzing a combination of external search firm and internal client data could yield actionable knowledge. An American Hospital Association brief on analytics identified available valuable data elements, such as:
- Process efficiency metrics (e.g., times from application to interview to offer, days to fill positions).
- Employee retention rates and information on recent departures stratified by various demographics.
- Survey data on staff engagement and other measures.
AI-driven analytics could also refine diversity tracking and enrich understanding of strategies that optimize diversity recruiting.
Candidate Relations
Search firms such as AMN Healthcare can significantly enrich candidate relationship management with AI Opportunities include:
- Increased and more personalized interaction with candidates via automated chatbots, targeted email, and other channels. This approach is particularly likely to match the communication preferences of the next generation of leaders.
- AI-generated resume and interview advice.
- More precise feedback to candidates on mapping their skills to particular roles and positions. This effort can aid the construction of high-quality candidate panels.
- Automated interviews visit itinerary creation.
Post-Hire HR Functions
AI’s potential extends to streamlining many time-consuming, manual post-hire processes. For example, generative AI could create “self-serve HR functions,” offering intelligent natural language search results for employee onboarding or responses to legal, policy, and other employment questions. Automation of credentialing would be a substantial productivity boost.
A case study from the American Hospital Association highlights a health system that currently uses an AI bot to manage 57 categories of licenses, automatically sending renewal reminders pre-expiration. The system saved 2,800 hours of labor in its first year using AI.
AI offers pathways to elevate the partnership between clients and outside search consultants as they seek to acquire the leadership qualities demanded today. At AMN Healthcare Leadership Solutions, we will continue our mission to empower the future of care by embracing technology as a strength of our comprehensive client solutions.
As AI continues its evolution, we will maintain surveillance on this promising technology and deploy it as uses become clear and implementation can be effective for healthcare organizations in achieving strategic objectives for patient care, growth, and innovation.
As a thought leader in our industry, AMN Healthcare produces a series of surveys, white papers, books, and webinar presentations internally and produces research and thought leadership for third parties. Dive deeper into this topic by reading the full AMN Healthcare white paper: Artificial Intelligence and Healthcare Executive Search.
For more information on how AMN Healthcare Leadership Solutions can help you navigate your talent needs, contact us today to request a call from one of our client partners, or visit our website.