The healthcare industry is predicted to be one of the fasting growing industries over the next decade, and HR professionals are already facing the strain of finding quality candidates to fill open positions, from nursing staff to hospital administrators. With this growing demand, HR teams need to increase efficiency where they can—and the first step is finding the best sources of talent.
While you can find quality hires from sources like social networking sites, job board resume databases, and alumni pipelines, the rising demand places a strain on an HR team, no matter where you search or how clever you get. When you need to staff healthcare positions, particularly those jobs that require specialized or highly technical skills, the ability to find top talent can be optimized with AI technology. This tech can search further and faster, levering multiple channels at once to decrease the time it takes to find quality candidates and to maximize the budget of job ad campaigns. Over the next decade, AI software will help HR teams meet the demands of healthcare staffing and can help develop the most strategic sourcing strategy now.
The trends in job seeking have changed drastically over the last decade as tablets have changed the way we live, work and find jobs. We don’t know yet how it will be different over the next decade, but it is clear that the movement towards digital job posting and job seeking offers HR teams the opportunity to find job seekers through increasingly sophisticated technology that can navigate this digital era of Big Data. So how does AI help when it comes to the healthcare industry?
Tailor your posts for each specific audience
Let’s look at two entirely different jobs in healthcare: the job seeker who becomes your next hospital administrator and the one who will staff the hospital cafeteria. AI tech can tailor your job posting strategy based on job type. PandoIQ, for example, uses a classification algorithm based on your job ad description. While both these positions fall under the wide umbrella of the growing healthcare industry, these candidates will search for their jobs in very different ways. AI uses historical data from similar job ad campaigns to determine the best sources of quality candidates and post your ad there—at the right site to meet the right job seekers where they search.
Analyze data and adjust posts in real time
As AI collects more data, the better it will be at predicting your best sources for talent particular to any job type. The more data AI collects, the more efficient your candidate searches will be. Because AI “learns” and adjusts to new information, your sourcing will continually be based on strategy and real-time data, not hunches and guesswork. This will be vital in the next decade as the healthcare industry continues to grow, new job-seeking platforms emerge, and competition for top talent remains high.
Gain the insight to manage your spending
For hard-to-fill positions, like the hospital administrator, AI can also determine budget allocation across multiple job ad postings to prioritize your dollars. This way, when you have a position that is easier to fill or gather the necessary number of resumes for an open position, you don’t waste your recruitment budget.
While referrals and networking are time-tested ways that recruitment teams find excellent candidates, the wealth of data available in the digital age is a valuable and under-utilized resource. The fact is, quality candidates in the healthcare industry are currently scarce and will continue to be so as demand for quality healthcare staff grows. Finding the best sources for your talent and spending your recruitment budget in the smartest way possible on the best sources with the assistance of AI tech will help HR teams in staffing the future of the healthcare industry.