Go beyond recognition: Use data to take meaningful action this Nurses Week

Since 1994, America has observed National Nurses Week annually from May 6-12. This year more than ever before, it’s critical that healthcare organizations go beyond recognition and start taking action to more effectively support and serve nurses. One important step in the journey to effect meaningful change is using data to inform decision-making at all levels. While there is no simple cure-all to burnout and turnover, this post will explore three key ways that harnessing the power of analytics can help transform nurse wellbeing and satisfaction.

1. Support post-pandemic healing

Working as a nurse is rarely easy, but working as a nurse during a global pandemic took the challenges and traumas to a new, nearly unfathomable level. The pandemic painfully demonstrated how truly demanding and difficult the profession is. To promote healing — mentally and physically — examine your organization’s COVID-19 patient volumes, comorbidities and mortality over the past 14+ months. These data points and trends can help you identify which service lines, shifts and specific nurses carried the heaviest burden throughout the pandemic – and therefore who may require the most support and focus in recovering.

2. Inform your staffing strategy

Determining the true acuity of patients is essential to making smart, sustainable and safe nurse staffing decisions. Data analytics can be used to analyze and draw insights from clinical codes and charts to ensure that nurse to patient ratios make sense and assignments are being managed appropriately. Ultimately, an effective staffing strategy supports nurse health and longevity, while also allowing them to provide patients with the best care and attention.

3. Encourage growth

When interpreted and applied correctly, data can be incredibly empowering. When shared without context or direction, however, data can be remarkably depressing and feel almost disciplinary. If you simply show nurses a massive dashboard of their patients’ outcomes and situations, they’ll often walk away internalizing guilt and feeling heightened burnout. Conversely, if you can do the leg work of drawing out meaningful insights from the data and facilitating related education and open discussions, nurses are more likely to feel supported and motivated. In turn, patients will have better experiences, marked by data-driven clinical decisions and actions. 


At first glance, focusing on data analytics may feel like a departure from the heart of healthcare (patient care). Upon further examination, however, it’s clear that effectively collecting and analyzing data may actually be the key to keeping that heart running smoothly for years to come. Data is not just numbers; it tells stories, teaches lessons and inspires change. As George Santayana so wisely stated, “Those who cannot remember the past are condemned to repeat it.”

This Nurses Week, consider how your organization can deploy analytics solutions that strengthen and equip nurses to heal and support patients.

Christine Smith Stetler, RN

Christine Smith Stetler is director of Product Consulting at MedeAnalytics. She is a registered nurse and most recently led the client success architect team at Allscripts. She is passionate about bringing innovation in healthcare data and technology directly to consumers and their caregivers to help them live their best lives. With over two decades in a field she loves, Christine has helped patients and fellow clinicians both directly, hands-on and through tech. She has been fortunate to have a wealth of knowledge and ingenuity bestowed upon her by fellow clinicians, healthcare administrators, technology experts and patients alike. Christine has learned how to see healthcare through the eyes of these varied stakeholders giving her the unique ability to recognize gaps and, with grit, compassion and sharp sense of humor, close them.

Leave a Comment





Get our take on industry trends

Why It’s Time for Healthcare to Move Toward AI Reporting

November 5, 2019

Business intelligence (BI) was a dramatic and significant step forward in healthcare industry reporting and a natural transition to artificial intelligence (AI) enabled real-time insights.

Read on...

Why Healthcare Should “Double-Down” on Exploring AI-powered BI for Reporting

October 29, 2019

Many areas in healthcare rely not only on the collection of data but, importantly, the ability to decipher and act upon it. In that intersection, reporting was born.

Read on...

Why Health Plans and Employers Need Stop Loss Reporting

September 10, 2019

Due to rising healthcare costs and the Affordable Care Act removing the ban on capitated benefits coverage, numerous employers with self-insured health plans often purchase stop loss coverage. This coverage is not medical insurance; but rather, it’s a financial and risk management tool that protects the employer from excessive claims.

Read on...

Bridge the Payer/Provider Data Gap

August 23, 2019

Every patient has a plethora of data associated with their health record, which can include decades of enrollments, claims, accounts and charges. Much of this data is not housed within the same institutional, facility or provider database…

Read on...