Tag: Stanley Healthcare

Four Predictions for Healthcare IT in 2018

Guest post by Steve Elder, director of communications, STANLEY Healthcare.

Steven Elder
Steve Elder

The healthcare industry is in a period of great uncertainty, with major questions looming around how regulations, standards and reimbursements – particularly regarding care quality and interoperability – will be changing for hospitals in the coming year. One thing is clear though: In order to provide the efficient and high-quality care needed to meet patient expectations, hospitals need to focus on the intelligent application of new technologies. Here are four trends that will influence healthcare IT in 2018:

The opioid epidemic will trigger growth in investments around patient and staff safety

The growing opioid epidemic now causes nearly 100 deaths each day, and is projected to cause 500,000 deaths over the next decade, primarily due to overdoses. That is not only putting pressure on hospitals to reevaluate how they use opioid medications and monitor patients once back in the community, but it is also forcing them to address the physical safety of staff and patients. This is because the opioid epidemic has led to an increase in violent crimes in healthcare facilities. Emergency departments in particular are under heavy strain, with more patients presenting with addiction symptoms, compounding wait times and leading to more patient disputes. Hospitals will have to invest significantly more in technologies to protect staff and patients, such as patient monitoring solutions and staff duress systems to prevent potentially dangerous patients from harming themselves or others.

 Big data advancements will pave the way for the rise of predictive and prescriptive analytics

Regardless of how the major causes of uncertainty affecting the healthcare industry – such as the future of the Affordable Care Act – resolve themselves, it is certain that there will be no return to the pre-ACA era. As healthcare industry writer and consultant Edgar Wilson has pointed out in the context of primary care, the expansion of insurance coverage did not magically create more capacity. It challenged hospitals to find new ways to serve more patients, more personally, without adding cost. Hospitals will continue to look for practical ways to improve their efficiency by leveraging data to better predict patient care requirements, and demand for medications and equipment needs. The benefits of these predictive analytics capabilities are enormous.

According to a February 2017 report by the Society of Actuaries, 93 percent of healthcare providers said predictive analytics is important to the future of their business, and 57 percent believe predictive analytics will save their organization 15 percent or more over the next five years. In addition to predictive analytics, prescriptive analytics will have a growing impact. Ongoing advancements in the collection, aggregation and analysis of data will provide hospitals with greater operational insights, enabling them to optimize staffing levels and other aspects of operations while enabling staff members to deliver more effective, targeted care.

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Delivering on the Promise of Healthcare Analytics: Troubleshooting, Intelligent Design and Predictive Modeling

Lauran Hazan
Lauran Hazan

Guest post by Lauran Hazan, director of healthcare analytics, STANLEY Healthcare.

Across nearly every industry, Lean process improvement and analytics have radically changed the way that businesses operate. Now, with the advent of big data and accompanying business insights, we’ve moved beyond troubleshooting problems to data-driven design and predictive analytics. The impact of these processes and technologies is felt at every level of the manufacturing supply chain. What happens when all of these innovations hit healthcare?

We’re already seeing many of them in action in hospitals across the world, which are now able to analyze the movement of patients, clinicians and equipment, thanks to RTLS and RFID – among the first Internet of Things (IoT) technologies. The central value proposition of IoT analytics and data visualizations in healthcare is that by providing clinicians and other users with actionable insight into their everyday processes, they will be empowered to understand and modify their behavior, and improve efficiency and the patient experience.

We know this technology works – revealing inefficient workflows, missing or insufficient levels of equipment, patients who have been waiting too long, and more. But acting on these insights to generate change requires more than technology. It needs visionary leadership to create cultural change, grounded in objective data and the real-time feedback it provides.

It’s no easy feat, and we’ve seen industrial engineers working to create change in healthcare for years. What’s different now is the data, which moves us beyond gut instinct or individual experience. Analytics in healthcare – based on objective and comprehensive IoT data – supports a constructive conversation about change, and can be used by staff at all levels to study the impact of an experimental process improvement. Hospitals can enable highly skilled workers to lead from within, rather than managing them top-down. They can leverage the experience and scientific mindset of clinical staff to identify new areas for growth, experiment to improve, measure success and continue to innovate with each new win.

That last point is perhaps the most important. For us to truly change healthcare, hospitals must develop a continuous cycle of improvement. This is what it means to be a Lean hospital in today’s data-empowered industry. Once the organization changes a practice or habit, it can study the impact of that change and then uncover other opportunities to improve further. The next set of practice changes may involve different measurements and metrics as the process of discovery continues.

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