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HealthCatalyst Recommends

Five Reasons Why Health Catalyst Acquired Medicity and What It Means for Interoperability, as Explained by Dale Sanders, President of Technology

Why did Health Catalyst acquire Medicity? Dale Sanders, President of Technology, shares five reasons and what it means for interoperability:

  1. Medicity has several petabytes of valuable data content.
  2. Medicity’s data governance expertise.
  3. Medicity’s 7 x 24 real-time cloud operations expertise.
  4. Medicity’s expertise in real-time EHR integration.
  5. Medicity’s presence and expertise in the loosely affiliated, community ambulatory care management space.
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Data Warehousing in Healthcare: A Guide to Success

Looking for a way to share his extensive experience with data warehousing in healthcare, in 2002 Dale Sanders wrote what many consider to be the “EDW Bible.” It’s a document with guidance that, if followed, will drive value and utilization from a data warehouse. We’ve made that report available now.

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Introducing Comprehensive, Concurrent Patient Safety Surveillance for Hospitals and Health Systems

Health Catalyst is excited to announce that it will soon release the Surveillance Module of the Patient Safety Monitor™ Suite, the industry’s first comprehensive patient safety application to use predictive and text analytics combined with concurrent clinician review of data to help monitor, detect, predict and prevent threats to patients before harm can occur.

The Patient Safety Monitor™ Suite leverages AI and machine learning to quickly identify patterns of harm, learn from those patterns, and suggest strategies to eliminate patient safety risks and hazards. This potent combination of AI, machine learning, text analytics and near real-time data from multiple IT systems enables the Patient Safety Monitor™ Suite to predict harm events and guide clinical interventions while the patient is still in the hospital.

In this webinar you will learn how the Surveillance Module can provide:

  • Greater clarity to the types, numbers, and causes of adverse events, enabling leaders to quickly prioritize improvement efforts
  • Improved patient outcomes such as reduced morbidity, mortality, and length-of-stay, and increased quality-of-life and satisfaction
  • Bottom-line cost savings and decreased brand damage related to unnecessary or preventable high-cost care and reduced/eliminated penalties
  • The ability for clinicians and infection preventionists to focus on patient care instead of burdensome manual data extraction, aggregation, and reporting
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Integrated Data Enables Single Source of Truth and Rapid Adoption

Many healthcare organizations struggle to deliver seamless reporting, advanced visualizations, and end-user self-service models, but these types of analytics are critical to business intelligence and have become a practical and strategic necessity.  There is a lack of trust in data because it can be difficult to access and combine information that is fragmented, coming from multiple, disparate sources such as EMRs, billing, claims, and financial systems. Without an integrated source of clinical and business data in a trusted single source of truth, it is difficult, if not impossible to create a data-driven approach to decision making.

Orlando Health, one of Florida’s most comprehensive private, not-for-profit healthcare networks consisting of eight hospitals and 50 clinics, began its journey to integrate clinical and business data into a single source of truth across the organization when it made the transition from a legacy data warehouse solution that employed an enterprise data model to the Health Catalyst analytics platform, and subsequently to the Health Catalyst® Data Operating System (DOS™) platform.

Integrated data and ability to deliver superior solutions has resulted in a single source of truth, leading to increased adoption. Once customers realized the timeliness, ease of access, and quality of the improved analytics and visualizations available to them, demand and adoption increased and continues to grow.

  • 6,120 queries of the analytics platform each month.
  • Users access analytic applications and visualizations more than 700 times each month.
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Integrated Healthcare Data Quickly Enables Adaptive, Purpose Driven Analytics

Changes in payment models are putting pressure on clinicians to close gaps in care. To do this, they need instant access to actionable information about their patients and their own performance. However, many electronic health records and business intelligence systems are still grappling with how to deliver the insights necessary to revolutionize the way providers work.

Orlando Health, a Florida-based, not-for-profit health system made up of eight hospitals and 50 clinics, found its enterprise data model difficult to scale, making it challenging to gain insights from its healthcare data. Building upon its analytics platform, Orlando Health recognized the value of immediate access to adaptive, integrated healthcare data that could be rapidly deployed in consumable, actionable visualizations to address a wide spectrum of business needs and use cases, and embraced a next-generation data model.

Results:

  • Ten data sources loaded into the platform in under six months.
  • As little as one week to deploy dashboards, visualizations, and analytic insights.
  • 95 percent reduction in work hours required to incorporate system enhancements.
  • 88 days saved in the amount of time required to implement system enhancements.
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