Thank you for taking time to read my letter and explore the knowledge center we've created for MedStar Health. 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 MedStar
How to Reduce Sepsis Mortality Rates by 22%
Northwest healthcare organization Multicare reduced septecemia by 22 percent, leading to a $1.3 million cost savings in the same period. Now the organization is tackling other areas of improvement. Discover what triggered the improvements — and how these resulted in savings.
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 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.
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.
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.
Automating and Integrating Patient Satisfaction Data to Achieve IHI Triple Aim Goals
While measuring patient satisfaction has become increasingly important for organizations seeking to improve quality and maximize reimbursement, using patient satisfaction data effectively presents a variety of challenges. Organizations must collect the data, distribute it to multiple audiences and integrate it with data from other sources—efforts that often consume significant time and resources. Automating the patient satisfaction reporting process and creating an analytics foundation enables integration of patient satisfaction data into an organization’s overarching quality and cost improvement initiatives.
How to Reduce Healthcare Labor Costs by Using an EDW and Analytics
In the shift to value-based care, Texas Children’s Hospital began to see its bottom line decline and needed an immediate solution to address labor and productivity challenges. The hospital set out to develop a methodology to help them allocate labor resources appropriately to the demand for services.
How to Improve Appendectomy Care Outcomes Using Advanced Analytics in Healthcare
Quality and efficiency have become even more important to hospitals amid the impending transformation of the reimbursement system from fee-for-service to value-based payments. Learn how this hospital used using analytics technology, team-based processes and evidence-based best practices to drive cultural transformation, improve appendectomy outcomes and reduce costs, and deploy end-to-end workflow optimization. The results are impressive: they reduced postoperative length of stay by 36 percent; they reduced average variable direct costs by 19 percent; they increased order set adoption rates by 36 percent; they increased the percentage of patients receiving recommended antibiotic as first antibiotic by 53 percent.
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.
4 Options for Choosing the Best Healthcare Analytics Solutions
Analytics is a buzzword in healthcare today. You hear it often: “What does an organization need to succeed in a value-based care environment? Robust analytics.” But what exactly does that mean? Anyone who has looked into implementing “analytics” for their organization knows that a multitude of options for healthcare analytics are available—and each vendor touts its approach to analytics as the best. I’d like to take a moment here to summarize four primary analytics options available to healthcare organizations today: 1) hosted analytics service providers, 2) “best of breed” point solutions, 3) EMR vendors, 4) healthcare data warehouse platform providers.
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%.