The phrase “top of license” has become more popular in healthcare circles directly correlated to the frustration of clinical teams that feel they spend too much time on administrative or redundant tasks. Conceptually, the top of license is at the core of current efforts to achieve clinical and operational excellence. Personally, it’s critical to achieve from a resource perspective to help alleviate the burdens medical professionals face today.
Working at the top of your license as a medical professional implies using the breadth and depth of your skill and training rather than spending your time on the lower value. How does this principle also apply to data analytics and the way healthcare providers manage their data?
The Struggle to Achieve Top of License
The healthcare industry was facing challenges even before COVID-19. Rising costs, lowered healthcare outcomes, and a lack of technology interoperability were just a few of the issues the U.S. healthcare systems faced. Today, COVID-19 remains top of mind for most hospital systems and health plans. The global pandemic has done nothing to reduce the frustration many clinicians feel from working in an administrative-heavy system that sometimes doesn’t allow for the highest and best use of their clinical expertise.
Today, doctors, nurses, and advanced practice providers commonly complain that the current system does not allow them to work at the top of their license. In some settings, up to 80 percent of the clinician’s time is spent on administrative tasks. It’s an untenable situation that has led to burnout, early retirement, and far fewer talented young people considering medical or nursing school at a time when the industry needs all hands on deck.
As organizations consider the changes necessary to ensure all medical professionals are operating at the top of their skills and education, data will allow medical professionals to shift workflows to operate more efficiently. Establishing a data-driven culture will ensure that individuals, teams, and departments are equipped to provide maximum output and return based on their licensure, talent, role, and experiences.
Can Better Data Management Help Healthcare Providers Achieve Top of License?
Healthcare leaders are reshaping their data management plans as part of their post-COVID-19 recovery planning. This reevaluation will enable IT strategies to address new and emerging data opportunities by applying top-of-license-practice thinking.
From a clinical perspective, top-of-license thinking has several benefits that can extend into the data analytics space. Data-driven organizations see the big and small picture, allowing them to make on-the-ground workflow changes that improve organizational function—which, in turn, allows individuals across the enterprise to work closer to the top of their licensure the majority of their time.
The crossover benefits of applying top-of-license thinking to data analytics include:
- Easier role identification can reduce redundant tasks from a human perspective. Working at top of license from a data perspective could eliminate the disproportionate time spent cleansing and prepping data instead of analyzing it to enhance organizational insight and advance health system goals. Top-of-license data analytics tools use artificial intelligence (AI)-powered automation of manual tasks to maximize human insight. This awareness gives individuals and teams the right data at the right time in the right context to streamline daily tasks and cut inefficiencies.
- Better interoperability between siloed departments and technology platforms can improve team communication and collaboration. Under the current patchwork of systems that frame data transfer for most of today’s healthcare organizations, data insights may not be reaching all the teams necessary to improve healthcare outcomes. The imperatives for working at top of license from a data perspective are clear.
The strategic goal of healthcare organizations is to maximize the number of resources used to solve our biggest challenges, whether it’s population health or COVID-19. Throughout all of the myriad challenges our nation’s medical professionals face today, the concept of working top of license remains the goal. It’s achievable only when you first start by applying the same goal to data management strategies.
Data analytics technology can apply top-of-license thinking to the massive amount of information you are capturing, from electronic health records (EHRs) to financial systems to chatbots. What’s missing is the impetus to gather that data into one streamlined flow of information, then extrapolate insight from formerly siloed data streams. This process will:
- Improve clinical outcomes
- Increase medical efficiency and professional satisfaction
- Cut costs
- Improve revenues
- Increase communication
- Enhance the overall patient experience
Applying top-of-license thinking to data management will require healthcare organizations to start by adopting a unified data analytics platform—powered in part by AI. This platform will allow individuals, teams, and departments to operate at the top of their license, education, and experience by using and making decisions with data.
Using automation, machine learning, and AI will help healthcare organizations maximize their siloed data platforms’ efficiency to better harmonize their data. With this foundation, data visualization tools will allow organizational insights to be democratized and applied across all levels to improve the lives of the medical professionals on the ground, cut costs, increase revenue, and improve both clinician and patient satisfaction.
The core concept of top-of-license initiatives is that each individual and task within a hospital setting are operating at peak efficiency. Organizations that seek next-generation, interoperable data management platforms will achieve better collaboration, insight, and outcomes. Beyond clinical workflows, new AI technology can help with everything from revenue cycle management to disease prediction and staffing models.
TIBCO Omni-HealthDataⓇ allows healthcare organizations to apply top-of-license techniques at every organizational level. This interoperable, AI-driven platform integrates data, adds automation to reduce manual tasks, and then applies predictive analytics to give healthcare organizations the insights they need to achieve their goals.
Download the whitepaper entitled “How to use EHR data to improve quality, efficiency and drive growth” to learn more today. If you are ready, you can Ask the Expert.
Steven Kahn, Director, Product Management for Omni Vertical Solutions at TIBCO, is responsible for designing the industry standards-driven models of our Omni Vertical Solutions. He also leads the team responsible for defining and creating the consumption, metric and presentation views, and industry metrics we offer in the verticals. Additionally, he and his team are responsible for creating and maintaining industry reference data content we provide to customers. He has spent nearly 40 years in the IT industry in roles from programmer through enterprise architect in Fortune 100 companies. His experience includes over 14 years in Big 6 consulting firms architecting solutions in industries such as healthcare, life sciences, pharma, telecommunications, high-tech, retail, CPG, financial, and many more.