Take a look around your workplace. Notice anything different?
Maybe someone who used to be energized and dependable now seems checked out. Maybe Mondays come with a wave of absences. Burnout is quietly spreading. And those sudden resignations? They’re starting to feel like a pattern.
In the world of Leave of Absence (LOA) administration, each employer must decide whether to insource or outsource their LOA case management process. There are pros and cons for both strategies and even when outsourcing, there will be oversight. This article attempts to explore the factors an employer may consider when deciding on their LOA administration strategy.
Insourcing LOA administration refers to managing these requests internally within your own organization. Typically, insourced or in-house LOA administration utilizes the employer’s own employees as part of an LOA group or team (i.e., case managers) and LOA case management software. This approach allows organizations to maintain direct control over the administration process, ensuring that policies are consistently applied and aligned with company culture. Alternatively, the outsourcing of LOA administration is exactly what it sounds like – it typically involves hiring a third-party administrator (TPA) or insurer to manage LOA administration on behalf of the organization. This option can take advantage of the TPA/insurer’s scalability, expertise, streamlined processes, and potentially reduce administrative burdens.
Technology is transforming health care with enhanced data insights, personalized solutions, and simpler tools that help members achieve their health ambitions.
With three out of five Americans saying the health care system is stressful to navigate, technology – AI specifically – is transforming employee plan member experiences.1 This is important as positive experiences improve outcomes and reduce high-cost services such as avoidable emergency room visits.2 Encouragingly, the shift is already underway and Americans are embracing the change, with one in five ready to use generative AI as a doctor’s assistant, and most are willing to use AI to help support routine health care activities, like scheduling appointments, refilling medications and updating contact details.3
