Friday, October 23, 2020

Mentoring Young Adults to Cope with Life Challenges



Kevin Lilly was the senior vice president of sales at MiMedx, a biopharmaceutical company located in Marietta, Georgia. With over 30 years of healthcare experience, he also served as the senior vice president, marketing, and product management at Standard Register Healthcare. Besides his professional life, Kevin Lilly mentors young adults to help them cope with life's challenges.

Young people growing up often face anxiety and depression over societal pressures, among others. Transitioning from childhood to adulthood brings about an increasing number of responsibilities and forces youth to make the right life choices. Through mentoring, young people can become better equipped to deal with the future.

Mentoring is a process that allows young adults to understand that there is someone else besides their family who cares about them and is there to help them, making them feel like they genuinely matter.

Studies have shown that quality mentorship positively impacts young people in their academic, personal, and professional lives. Therefore, a mentoring relationship helps connect a young adult to personal growth and development while advancing economic and social opportunities.

The benefits of mentorship are enormous. Mentors help young adults manage and interpret everyday difficulties, such as relationships with their parents and peers. They also help their protege or mentee expand their career interests while encouraging steps for goal achievement.

Through engaging in meaningful and quality conversations, mentors boost their protege's cognitive skills and foster self-efficacy (a belief in oneself). 

Thursday, October 1, 2020

How Machine Learning Can Enhance Healthcare Delivery



Kevin Lilly has 20 years of experience providing new technology solutions to improve healthcare delivery. While he was senior vice president of MiMedx Group, Kevin Lilly leveraged machine learning technologies to drive Mimedx's automation of customer relationship and sales management systems.

Machine learning is growing in importance in the healthcare industry, as artificial intelligence is increasingly used for direct healthcare delivery. Machine learning can help automate many administrative duties through smart records management, freeing up physicians to provide better care to their patients. It can also enable early diagnosis of certain medical conditions, such as cancer, which can be hard to detect in their initial stages. Machine learning-driven medical imaging can result in more precise analysis, closer to the condition’s onset.

Machine learning can also help make medical research faster through the automated analysis of medical literature and information, a task that can take significant amounts of time for a human team to complete.