You’ve heard of AI (artificial intelligence) but, if you’re like most people, you’re not entirely sure what it means or does. It may not be obvious how it could help you with healthcare staffing. Let’s explore this further so you’ll have a basic understanding of this technology. Then we’ll show how AI can be used to make talent sourcing easier and more effective for you and your staffing team.
What Is AI?
AI is when machines, using algorithms and computer processing, simulate how humans analyze information and make decisions. Using algorithms, machines can learn (acquire and understand the rules for using information, knowledge, or skills), reason (draw conclusions from what has been learned), and self-correct (learn from mistakes to prevent future mistakes).
As we apply this to the staffing function, there are two other terms you should know: machine learning and data mining. Machine learning is a subset of AI. When we say that computers “learn,” it is machine learning that is being referred to. Like people, machines “learn” from data and input. An AI engine learns from available data, and the more data fed into the system, the more accurate is its learning and predictive capability. AI finds patterns in the data and adjusts its algorithms, so that it gets better over time.
Data mining examines large data sets to find patterns, categories, and relationships. When it finds those things, the information is extracted from the data sets and presented in a usable way to improve or inform a process in which an AI algorithm can be applied to interpret information.
How Does This Apply to Talent Sourcing?
One of the reasons it’s difficult to source talent in the healthcare field is that many jobs demand very specific skills. When you need skill combinations so specific and sometimes rare, that makes the chance of finding the right person using standard recruiting tools harder. Any AI-enabled healthcare talent sourcing solution will need a significant data set available for data mining. A sizable data set greatly increases the chance of finding rare combinations of skills and profiles that healthcare recruiters need to fill their open jobs.
Once you have access to a large, reliable data set, then AI can tap that information to learn which indicators show geographical mobility (willingness to move) that can affect job search decisions. That factor is crucial for healthcare talent sourcing, and is a field where many people are willing to relocate for job opportunities. For example, your data set may contain a candidate who currently works in Georgia, but grew up in Florida, and went to school in Texas. That person likely would be open to opportunities available in all three states. Through the use of data mining and machine learning, AI can unearth passive applicants who aren’t actively job searching as well as those whose location ties may indicate a willingness to move.
Does An AI-Powered Recruiting Tool Exist?
HealthcareWings is a robust recruiting tool powered by AI. The tool uses machine learning algorithms and AI to build the most comprehensive data set of clinical staff, healthcare providers, and job postings. HealthcareWings searches across a data set of 15 million healthcare profiles and 850,000 healthcare employers. In this way, it generates thousands of data-driven “smart matches” for users, accessing information that other recruiters simply don’t have access to. Drawing from this huge database allows recruiters to discover talent not found using traditional search sites.
Recruiters can be quite specific with their search criteria, finding profiles that match exactly what they are looking for. It enables them to narrow their research focus to only the candidates that are the best match for the job.
Want to learn more about how HealthcareWings, powered by AI, can solve your healthcare staffing worries? Sign up now for free.