Thank you for taking time to read my letter and explore the knowledge center we've created for Yale New Haven Health System. Below, I've selected resources I believe will resonate with your organization. I hope they will provide you with useful insights and perspectives as you think about how enterprise data warehousing and analytics can transform your organization. Lastly, I’d like to challenge every healthcare system in the country by asking a simple question: “What transformative data driven success stories will you be adding in the next 12 months?”
Suggested Content for Yale New Haven Health System
Improving Healthcare Performance through Analytics and Cultural Transformation: One Healthcare Organization’s Journey
OSF HealthCare, a pioneer accountable care organization (ACO), was looking to deliver superior clinical outcomes, improve the patient experience, and enhance the affordability and sustainability of its services. OSF’s leaders recognized that to effectively achieve these goals, they needed to reinvent the organization’s performance improvement measurement and reporting system. In addition to deploying new analytics technology, OSF knew they needed to drive a cultural shift throughout the organization to embrace a data-empowered system. By engaging leadership, aligning the initiative with business strategies, and building data-driven clinical and operational improvement teams, OSF was able to save $9-12 million over three years—through both process improvement and cost avoidance. OSF also drove clinical performance improvements in key areas including heart failure and palliative care.
How to Reduce Unnecessary Elective Deliveries: A Powerful Case Study
Studies have shown that elective deliveries before 39 weeks increase the risk of newborn respiratory distress as well as increase the rates of C-sections where there is a higher rate of postpartum anemia and longer lengths of stay for both mothers and babies. Payers are partnering with healthcare organizations to lower elective delivery rates. Learn how this healthcare organization reduced their elective deliveries by 75 percent in just six months and received a six-figure payer partner bonus.
Automating the Executive Healthcare Dashboard: Spend Less Time Collecting and Validating KPI Data
Healthcare executives rely increasingly on executive healthcare dashboards to provide a snapshot of their organization’s performance measured against established monthly and yearly key process indicator (KPI) targets. However, collecting and aggregating the needed data to create the dashboard can be a very time-intensive process and many organizations are using Excel spreadsheets to “cobble together” these dashboards from a variety of sources. Learn how this organization is leveraging a healthcare enterprise data warehouse (EDW) and analytics technology to automate and improve the dashboarding process.
Using Advanced Analytics to Manage Population Health in Primary Care Clinics
The need to effectively manage the health of populations is largely driven by the fact that 5 percent of the population accounts for 50 percent of healthcare costs. Being able to identify these patients, provide high-quality care and reduce their utilization is a pressing goal for many of today’s primary care providers (PCPs). Learn how this healthcare organization used a healthcare enterprise data warehouse and analytics to better manage their individual patients and patient population, integrate regulatory and performance reporting, and allow PCPs to spend more time with patients and less time collecting data.
Texas Children's Hospital Significantly Reduces Reporting Costs Using a Clinical Data Warehouse
Clinical data can be difficult to extract from an EMR, particularly when you want to combine it with other data and use it in a timely manner. But when Texas Children’s Hospital adopted an enterprise data warehouse, they found they were able to extract the data and create near real-time reports that came with an added bonus: a 67% cost savings.
Indiana University Health – A Cerner data warehouse in 90 days
Digitizing healthcare comes with its own set of problems — including how to use all the raw data created and turn it into something meaningful that results in improvements in quality and cost of care. Indiana University Health found a solution that integrated with their Cerner EHR. And the best part? From start to finish, it took just 90 days.
My Wake-Up Call: How Data Saves Lives
Have you ever had one of those “wake up moments” where you literally learn a lesson that impacts and changes the trajectory of your life? Read this personal story by Dr. Bryan Oshiro of his “wake up” call where he learned the importance of data to save lives. He learned this first-hand when he saw rows of babies on ventilators in the neonatal unit and realized that they had all been electively delivered before 39 weeks. But he didn’t have the data compiled to make a compelling case to his physicians to stop elective pre-39 week deliveries. Working with his technology team, he gathered the data, analyzed it, and successfully engaged his physician team in a quality improvement project to reduce these elective deliveries.
How to Increase Professional Billing Charge Capture with Healthcare Analytics
The demand on hospital coders continues to rise – and even more so with the ICD-10 rollout. At the same time, health systems want to make sure professional billing charge captures are accurate. Learn how North Memorial Health System leveraged their hospital enterprise data warehouse – and the Health Catalyst Professional Billing Module – to: a) increase the number of provider notes with sufficient clinical data for billing, b) increase their monthly net income and c) improve their hospital coding staff productivity by 25%.
How to Reduce Heart Failure Readmission Rates: One Hospital’s Story
An estimated 24 percent of patients who are discharged with heart failure (HF) are readmitted to the hospital within 30 days. Learn how this healthcare organization engaged physicians and multidisciplinary teams to improve their outcomes. Deploying evidence best practices—medication reconciliation, follow-up appointments, follow-up phone calls and teach back—they reduced and sustained their 30-day HF readmission rates by 29 percent, and their 90-day HF readmissions by 14 percent. They have seen their process measures increase significantly: 120 percent increase in follow-up appointments; 78 percent increase in pharmacist medication reconciliation; 87 percent increase in follow-up phone calls; 84 percent increase in teach-back interventions.