Penn Medicine’s investment in electronic health record infrastructure and analytics is paying off in improvements in clinical care, according to anarticle at Healthcare Informatics.
Its clinical data warehouse holds records on 3 million patients going back 10 years. One of its most recent projects building on that trove of data is “Penn Signals,” a platform that provides the tools for building predictive applications based on historical data, as well as real-time data in its EHR system. The health system also embeds data scientists within its clinical teams to help develop forecasting algorithms for clinical care, the article notes.
Penn Medicine has a pipeline of algorithms in the works, including ones around heart failure and risk stratification.
A previous initiative at Penn Medicine used data algorithms to tackle sepsis. It created an early warning system to improve care and response times, and saw its sepsis mortality rates fall 4 percent.
Michael Draugelis, chief data scientist for Penn Medicine, tells Healthcare Informatics that his team is focused on reducing pain points in developing the algorithms and making them accessible for health systems to deploy.
“Any time you produce these new pieces of information that never existed before, you need to do a redesign of your [care] pathway, and that is where the hard work is,” he says.
The institution also has been using open-source technology, and plans to share as much of its work as possible with other institutions, the article says.
Other projects in the works at Penn Medicine, according to the article, include:
- A research data warehouse dubbed “PennOmics” that provides a centralized repository for fully de-identified clinical data
- Linking its clinical trial management system with its enterprise-wide EHR to make enrollment and patient management more efficient
- Automating biobank workflow with a laboratory information system for sample tracking and inventory management
The Perelman School of Medicine at Penn also has built an app giving providers access to clinical data in real time and consolidating the hospital’s systems into one easy access point.
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