Leadership Roundtable Series:

Leveraging Data Insights to Improve Outcomes

Data is critical to understanding patterns of patient behavior, identifying trends in gaps of care, and ultimately improving patient outcomes. But how does one lead to the other? Today, healthcare providers and stakeholders are often responsible for managing multiple data sources, making it difficult to aggregate the data critical to impacting patient outcomes. Learning how to synthesize this information into actionable interventions is paramount to making effective change.

We gathered leaders from across our national network for a Leadership Roundtable on Leveraging Data Insights to Improve Outcomes to discuss this topic. The three themes that emerged were: barriers to real-time information, data insights to identify patient trends, and leveraging data to improve organizational outcomes.

Read below for some of the key takeaways! 

Barriers to Real-Time Information 

During the session, speakers discussed challenges faced when leveraging claims data as the data is not received in real time. While for many, observing patient encounter patterns with claims data is helpful, the ability for real-time intervention is not possible.

Georgia Pelletier, Director of Quality and Population Health, from Value Care Alliance mentioned how her organization has leveraged PatientPing to understand as soon as patients present to the ED.  Her team is then able to reach out directly to the patient or their PCP to ensure appropriate care services are provided, potentially avoid unnecessary admissions, and schedule timely follow-up appointments. The ability to monitor patient events in real-time across both acute, and post-acute settings, plays an important role in ensuring collaboration on transitions of care and timely reaction to preventing avoidable readmissions.

Data Insights to Identify Patient Trends 

Attendees also shared the importance of accessing detailed data, such as the times that patient encounters take place, in order to identify trends and patterns in patient events. For instance, is there an influx of patients going to the ED during PCP off hours? Are more patients being admitted to the ED in the morning or evening?

Norine Tamborino, Director of Strategic Projects from Triad Healthcare Network, shared how her team leverages PatientPing timestamp on encounters to analyze avoidable admissions. She shared that while some ED admissions take place during PCP office open hours, a majority of encounters are before or after they are closed. Another data point organizations found to be important is a patient’s proximity to a hospital versus their PCP, specifically for Medicaid patients. Reviewing patient patterns such as these can help better inform organizational decisions around staffing, or highlight opportunities for closer collaboration with patients in need.

Leveraging Data to Improve Organizational Outcomes  

Our customers shared how they use data to improve organizational outcomes. One such example came from Christine Cernak, Senior Director of Longitudinal Care at UMass Memorial Health Care, who shared that data analysis on their Medicaid population revealed that no shows to patients’ PCPs were directly affiliated to ED utilization. As Medicaid populations are often impacted with issues of social determinants of health (SDoH), UMASS developed a complex care management team, which included community health workers, responsible for identifying and working with patients faced with SDoH. Through these efforts the organization significantly reduced its ED utilization.

Thank you to all our customers who attended this session and contributed to our community learning on best practices in regards to data insights. PatientPing recognizes the importance of leveraging your own data to facilitate better patient outcomes. Learn more about our new product Spotlights and how it can support your efforts.