- January 9, 2020
Recruiting Engineers For Robotics AI And Machine Learning
Recruiting of engineers with robotics, artificial intelligence (AI) and machine learning (ML) experience is getting increasingly more difficult. This is especially evident as AI, ML and robotics applications soar in the healthcare field.
AI and ML is poised play an even bigger role in healthcare in 2020 than they did in 2019. They will help medical professionals with everything from oncology screenings to note-taking.
A broader base of test cases will be available to collect valuable best practices information with deeper deployments of AI and ML technology. This year increased investment activity is also expected on top of actual deployments.
Further, as both are more widely deployed they will help rehumanize medicine. The rehumanization will allow doctors to focus more on patient care and less on paperwork and administrative functions.
Heathcare Recruiting More Robotics, AI And ML
This means that recruiting of engineers, scientists, information technology (IT), research and development (R&D) and other technical talent will be in increasingly higher demand and shorter supply.
Peter Durlach is senior vice president for healthcare strategy and new business development at Nuance. He has stated that there will be more academic reports on the clinical benefits that have arisen from the real-world use as AI is implemented more widely in real-world clinical practice.
“With healthy clinical evidence, we’ll see AI become more mainstream in various clinical settings, creating a positive feedback loop of more evidence-based research and use in the field,” he explained. “Soon, it will be hard to imagine a doctor’s visit, or a hospital stay that doesn’t incorporate AI in numerous ways.”
“As AI becomes more commonplace in the exam room, everything will be voice enabled, people will get used to talking to everything, and doctors will be able to spend 100% of their time focused on the patient, rather than entering data into machines,” Durlach predicted. “We will see the exam room of the future where clinical documentation writes itself.”
AI is being adopted for robotic process automation (“RPA”) for common and high value administrative functions such as the revenue cycle, supply chain and patient scheduling. It also has the potential to rapidly increase, as AI helps automate or partially automate components of these functions. This will effectively drive significantly enhanced financial outcomes to provider organizations.
Doctors Grow To Accept Input From Artificial Intelligence
Durlach also noted the fear that AI will replace doctors and clinicians has dissipated. The goal now is to figure out how to incorporate AI as another tool to help physicians make the best care decisions possible – effectively augmenting the intelligence of the clinician.
“However, we will still need to protect against phenomenon like alert fatigue, which occurs when users who are faced with many low-level alerts, ignore alerts of all levels, thereby missing crucial ones that can affect the health and safety of patients,” he cautioned.
He predicts the market will see a technology that finds a balance between being too obtrusive while supporting doctors to make the best decisions for their patients in the next few years. This will as doctors learn to trust the AI powered suggestions and recommendations.
Real World Examples of ROI Lead To Further Investments
“So many technologies claim they have an AI component, but often there’s a blurred line in which the term AI is used in a broad sense, when the technology that’s being described is actually basic analytics or machine learning,” Kuldeep Singh Rajput, CEO and founder of Boston-based Biofourmis, told Healthcare IT News. “Health system leaders looking to make investments in AI should ask for real-world examples of how the technology is creating ROI for other organizations.”
For example, he pointed to a study of Brigham & Women’s Home Hospital program as recently published in Annals of Internal Medicine. The study employed AI-driven continuous monitoring combined with advanced physiology analytics and related clinical care as a substitute for usual hospital care.
The study included an investment in AI-driven predictive analytics as a key component. It found reduced costs, decreased healthcare use and lowered readmissions while increasing physical activity compared with usual hospital care.
“Those types of outcomes could be replicated by other healthcare organizations, which makes a strong clinical and financial case to invest in that type of AI,” Rajput said.
Our Recruiting Team Solves AI, ML And Robotics Staffing Nightmares
Strategic Search Corporation’s recruiting team can help you uncover needed engineers, scientists, IT, R&D, technical and manufacturing talent for your robotics, artificial intelligence and machine learning technology applications.
One tool we have devised to help you is our Twelve Commandments of Recruiting which will help streamline your recruitment process.
In particular, my 8th Commandment – “Constantly Recruit”, can be extremely helpful in your recruiting efforts. This staffing tip suggests you should not wait for a job opening to seek out key talent. This is especially true for a high demand engineer, scientist, IT, R&D or other key technical job candidate.
You should use social media, attend trade shows and industry events to build your staffing network instead. Then when you have a staffing need, you can quickly fill your job by taping into your employment database. So remember to be constantly recruiting.
My 8th Commandment recruiting tip will help improve your engineering job recruitment, especially for virtual reality jobs recruiting. It will also apply to any other staffing needs where demand outstrips talent supply.
This is just one of my top 12 recruiting tips that will help your staffing managers to more quickly fill their open jobs. It will apply universally to a wide range of jobs, not just engineer jobs and engineering hiring. You can apply it to most jobs and employment situations wherever you are having recruitment issues.
Call me today at 312-944-4000 to discuss how we can assist with your engineering staffing efforts especially in the highly competitive robotics, artificial intelligence and machine learning fields. Or click here for my full contact information.