Academic Medical Center

Success Stories

Health Catalyst

How One Hospital Embraced Patient Satisfaction Transparency

As consumers pay more for their healthcare they are demanding more transparency. In a telling example, it’s estimated that over 84 percent of patients use online provider reviews to help make care decisions. With increased transparency, hospitals need to develop strategies to address patient satisfaction while finding a way to participate for more fully in the patient satisfaction dialogue and social media communications, including the rating process.
One large hospital has done just that by increasing transparency in the patient review process. A key component is providing physician star ratings by patients on the hospital’s own website, with patient survey data sourced from Health Catalyst’s analytics platform. While this strategy took time and effort to win over physician acceptance, it has paid off considerably by taking patient satisfaction to new heights.
The overall patient satisfaction improvement initiative, of which the physician transparency effort was a key component, has proven to be resoundingly successful in supporting physicians and staff in the difficult work of providing outstanding and compassionate care – and has reaped impressive results including,

Improved patient satisfaction scores from 60 percent to over 90 percent
Successfully implemented a physician mitigation strategy with a 98 percent comment acceptance rate
Intensified focus on the patient experience through data and education

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Effective Healthcare Data Governance: How One Hospital System is Managing its Data Assets to Improve Outcomes

As healthcare invests in analytics to meet the IHI Triple Aim, data has become its most valuable asset—and one of the most challenging to manage. Healthcare organizations must integrate data from a complex array of internal and external sources. To establish a single source of truth, The University of Kansas Hospital deployed an enterprise data warehouse (EDW). However, they quickly realized that without an effective data governance program clinicians and operational leaders would not trust the data. Led by senior leadership commitment, The University of Kansas Hospital established processes to define data, assign data ownership and identify and resolve data quality issues. They also have 70+ standardized enterprise data definition approvals planned for completion in the first year and have created a multi-year data governance roadmap to ensure a sustained focus on data quality and accessibility.

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Healthcare Revenue Cycle: How to Improve Data Timeliness and Reduce Manual Work

With cash flows declining, margins tightening and bad debt increasing, it’s more important than ever for healthcare organizations to maintain their bottom line. Efficient, effective revenue cycle management that ensures timely payment is one key to an organization’s financial health. Learn how this healthcare system: a) improved their data timeliness, b) realized an estimated $380K in annual operational savings, and c) reduced manual work.

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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.

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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.

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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.

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How to Improve Sepsis Diagnosis and Outcomes through Innovative Healthcare Analytics

Sepsis affects more than 750,000 hospitalized patients and results in 570,000 ED visits per year. Learn how this large medical center is tackling their sepsis care challenges by leveraging their EDW and healthcare analytics. They defined and built a sepsis registry and analytics platform in 10 weeks to measure 6 interventions and 4 outcome measures — including mortality rates, length of stay, total hospital stay and 30-day readmits.

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The Fastest Way to Integrate Source Marts into a Healthcare Data Warehouse

Making sure data from source systems is moved quickly, accurately and consistently into an enterprise data warehouse (EDW) is an important task for Information Systems (IS) departments. Indiana University (IU) Health IS was tasked with increasing the value decision-makers get from their health system’s data – and doing it with fewer resources. Using the Health Catalyst Source Mart Designer IU Health achieved: a) 75 percent faster design and development of its’ Source Marts, b) well-structured data fields within their EDW, c) autonomy of data architects while ensuring enterprise supportability, and d) improved analysis through the use of meta data.

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The Problem of Measuring Spinal Surgery Outcomes and How Analytics Can Help

Spinal problems are a common issue with a profound impact on healthcare costs. Faced with the high cost of surgical spine care in an industry transitioning to value-based payments, health systems need analytic solutions to evaluate the effectiveness of surgical interventions. Read how this medical center: 1) built a Spine Registry, 2) drove patient engagement through patient portal usage, 3) integrated data from a multitude of quality of life surveys, and 4) developed a healthcare analytics platform to measure spinal surgery outcomes.

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Building a High-quality Cancer Care Delivery System

In a recent report, the Institute of Medicine (IOM) declared that the cancer care delivery system is in crisis—amplified by the complexity of cancer care and historical limitations in quality-improvement tools.
As a result of an aging population, the IOM predicts a 30 percent increase in cancer survivors by 2022 and a 45 percent increase in cancer incidence by 2030. Parallel to this increase in incidence is a trend toward increasing costs. In 2010, $125 billion was spent on cancer care compared to $72 billion in 2004. In fact, the cost of cancer is expected to reach $173 billion by 2020—a 39 percent increase in just seven years.
One renowned health system recently implemented a solution to mitigate this crisis: a high-quality cancer care delivery system based on healthcare analytics and business intelligence. The health system has implemented a framework for data-driven clinical improvement.

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