HARTFORD, Wis. — March 2, 2010 — API Healthcare, the leading provider of human capital management solutions to the healthcare industry, today announced that Lakeland Regional Medical Center, an 851-bed facility based in Lakeland, Fla., has selected the company’s time and attendance and remote hosting solutions.
“In our ongoing effort to better control costs and increase operational efficiencies, we knew it was important to find a more effective way to manage payroll-related processes,” says Mary Carroll Ford, vice president and chief information officer for Lakeland Regional Medical Center. “By streamlining workflow and empowering employees to take greater control of their personnel information, API Healthcare’s Time and Attendance Solution will enable our nursing managers to spend less time on administrative tasks and more time addressing patient needs. Similarly, the use of API’s remote hosting and managed services will free up our IT staff to focus their efforts on strategic, enterprise-wide IT initiatives rather than on day-to-day system maintenance.”
The API Healthcare Time and Attendance Solution streamlines labor-intensive data collection and calculation processes while supporting the consistent application of complex pay information across the organization. Real-time information enables managers and administrators to monitor and analyze data throughout the pay period for proactive control of labor costs. The ability for employees to access pay data and benefit balances online contributes to improved employee satisfaction and reduces payroll and managerial workload.
Remote hosting solutions are increasingly being adopted by healthcare organizations that want to maintain internal control of their existing IT investments and infrastructure while realizing the advantages of outsourcing routine management and maintenance activities. API Healthcare’s remote hosting services allow hospitals and health systems to bypass the initial capital investment in servers and related hardware as well as the expense of updating that equipment over time—enabling them to more effectively leverage and predict costs.
