Infor healthcare analytics optimises workforce effectiveness
February 14, 2018
New York-based cloud applications company Infor has introduced healthcare analytics to optimise workforce and operational effectiveness. The CloudSuite HCM leverages the firm’s Birst networked analytics architecture to help healthcare organisations deliver better patient care.
The goal is to provide them with trusted insights and better decision-making by connecting people and their data through a network of analytics services.
CloudSuite HCM is part of the company’s CloudSuite Healthcare, a software platform that covers finance, supply chain, human capital and clinical interoperability.
"This provides healthcare organisations with an in-depth understanding of their costs and drivers towards more efficient care delivery," said Amy Ihlen, Infor senior director of product management. "Infor is focused on helping healthcare providers obtain the right workforce fit for skills and behaviour, in the right locations, at the right times, to deliver better patient care and outcomes."
The analytics enable healthcare organisations to see, in real time, activities that are critical to their operations. For example, it delivers embedded predictive models, tailored to each customer, to optimise labour spend, understand demand forecasting and get ahead of fraud analysis.
The analytics also bring together and make sense of data pertaining to the cost of care, patient referral and demographics, employee satisfaction, operational efficiency, and the direct correlation between engagement and patient quality of care.
It can drive better decisions and business outcomes with People Analytics. This includes the ability to identify segmentation of the workforce and associated performance measures, risk indicators and overall talent planning including succession and critical talent planning.
For example, it would notify HR when staff turnover increases sharply at one of their healthcare system's hospitals. This timely update would trigger a proactive effort to discover the cause and reduce additional turnover. Consequently, the healthcare system can address the issue quickly and thereby avoid the expense of recruiting and training new personnel.
It will help determine nursing workloads and staffing, and conduct workforce planning. This capability enables healthcare organisations to forecast demand for services and workforce supply, and develop critical workforce plans to mitigate any predicted gaps.
With the capability to reduce the opportunity for personal bias, healthcare organisations can support efforts to increase diversity and inclusion through automated, trustworthy forecasts. This means less manual intervention, which reduces the chance that organisational politics or personal agendas will contaminate forecasts.
By providing a better understanding of person and team fit, it produces measures that identify what improvements can be made and how the measures compare, such as HR spend per person, efficiencies with training programmes and learning, engagement, flight risk indicators, and fit-to-role qualifications and behavioural fit.
Healthcare organisations can model a wide range of behaviour. They can test what-if scenarios to determine the likely impact on their forecasts, and account for planned and unplanned events. Further, they can mine, segment and visualise data interactively.
"Today, healthcare organisations want deeper insights into how their resources are allocated, and the state of the workforce and programme effectiveness," Ihlen said. "This enables them to take a more holistic approach to people analytics."
Infor builds business software for specific industries in the cloud, with 16,500 employees and over 90,000 customers in more than 170 countries. Birst is a networked business analytics platform.