Healthcare Analytics, Population Health Management, Healthcare Big Data

Patient Safety

User Comments, NLP Improve Clinical Decision Support Alerts

January 8, 2019 - Leveraging natural language processing methods to analyze user feedback and override comments in clinical decision support systems could help organizations detect malfunctioning or broken alerts, according to a study published in JAMIA. Rule-based alerts in clinical decision support (CDS) systems analyze electronic health record (EHR) data and notify providers of potentially dangerous...


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FDA Releases Guidance on Health Data Integrity, Drug Safety

by Jessica Kent

The FDA has released new guidance aimed at helping drug manufacturers ensure data integrity and product safety. The document is an update to the FDA’s 2016 draft guidance on the topic and will ensure industry compliance with current...

Machine Learning, EHR Data Predict High-Risk Surgical Patients

by Jessica Kent

Utilizing machine learning tools that leverage electronic health record (EHR) data from a single organization could help providers predict patients at high risk of surgical complications more accurately than traditional approaches, a study...

Satisfaction High with Epic, Cerner Clinical Surveillance Tools

by Jennifer Bresnick

Clinical surveillance tools are generally doing a good job of alerting providers to sudden patient downturns and delivering meaningful decision support, yet optimizing these health IT tools to produce positive results isn’t always...

Deep Learning Spots Adverse Drug Events in Unstructured EHR Data

by Jessica Kent

Deep learning and natural language processing techniques can significantly improve the detection of adverse drug events (ADEs) in unstructured electronic health record (EHR) data, a study published in JMIR Medical Informatics...

FDA Foresees Few Patient Safety Issues with Data from Rx Apps

by Jennifer Bresnick

The FDA is suggesting a hands-off approach to reviewing prescription drug applications that present data with low risks to patient safety, the agency said in a request for comments published in the Federal Register. The solicitation...

Geisinger Population Health Program Cuts Opioid Use by 18%

by Jessica Kent

Geisinger Health System has announced that its ProvenRecovery Program, a population health initiative that aims to reduce opioid use, hospital stays, and healthcare costs, will be implemented across 42 surgical procedures that impact...

Predicting Pressure Injuries with Machine Learning, EHR Data

by Jessica Kent

Fueled by EHR data, machine learning tools have shown potential in improving several areas of care delivery, including sepsis prediction, chronic disease management, and cancer detection. As providers increasingly experience financial...

Precision Medicine Approach Reduces Heart Failure Mortality by 50%

by Jessica Kent

A precision medicine approach cut mortality rates for high-risk heart failure patients by 48 percent, and 30-day hospital readmissions by 25 percent, according to new research from the Intermountain Medical Center Heart...

Predictive Analytics, EHR Big Data Reduce Sepsis Mortality by 18%

by Jessica Kent

At North Oaks Health System in Hammond, Louisiana, researchers have used big data from the Epic electronic health record (EHR) to develop a predictive analytics tool that has reduced sepsis mortality by 18 percent. According to the CDC,...

71% of Veterans Affairs Hospitals Improve on Care Quality

by Jennifer Bresnick

Nearly three-quarters of Veterans Affairs hospitals have improved on care quality and certain patient outcomes measures, according to the latest data from the VA’s Strategic Analytics for Improvement and Learning (SAIL) report...

80% of CMIOs Say Medication Management Boosts Patient Safety

by Jessica Kent

More than 80 percent of CMIOs believe medication management initiatives are actively helping to reduce the number of adverse drug events that can threaten patient safety, according to a recent survey from the Association of Medical...

10 High-Value Use Cases for Predictive Analytics in Healthcare

by Jennifer Bresnick

As healthcare organizations develop more sophisticated big data analytics capabilities, they are beginning to move from basic descriptive analytics towards the realm of predictive insights. Predictive analytics may only be the second of...

Top 4 Ways Providers, Vendors Can Improve EHR Usability

by Jessica Kent

The arrival of the electronic health record (EHR) in healthcare has brought just as many challenges as it has benefits, with patient advocates often citing poor EHR usability as the root cause of adverse patient safety events. To enhance...

3 Steps to Reduce Diagnostic, Medication Errors with EHRs, APIs

by Jessica Kent

Health IT has become an integral part of the care continuum, offering the promise of optimal, standardized care delivery. However, poor development and implementation of electronic health records (EHRs) can contribute to adverse patient...

Workflow Standards Key for Improved EHR Usability, Safety

by Jessica Kent

Health IT developers and providers should work together and define workflow and implementation strategies to enhance electronic health record (EHR) usability and safety, according to a study conducted by MedStar Health and the American...

Urgent Care Centers Show Lackluster Antibiotic Stewardship

by Jessica Kent

Nearly forty-six percent of urgent care center visits resulting in an antibiotic prescription were for conditions that do not call for antibiotic treatment , revealing that more robust antibiotic stewardship programs (ASPs) may be...

EHR Natural Language Processing Errors Bring Patient Safety Concerns

by Jennifer Bresnick

Speech recognition software that leverages natural language processing (NLP) to create clinical documentation has become increasingly popular among EHR users, but the potential for errors that lead to patient safety issues may be a matter...

54% of Healthcare Pros Expect Widespread AI Adoption in 5 Years

by Jennifer Bresnick

Artificial intelligence is quickly gaining steam in the healthcare industry as pilots and limited deployments start to prove their value.  The progression of AI is so swift that more than half of healthcare professionals surveyed by...

HHS Names Accelerators for Artificial Intelligence Innovation

by Jessica Kent

HHS has selected eight accelerators to drive artificial intelligence innovation to enhance health security and patient care. The chosen accelerators include the Massachusetts Medical Device Development Center of Lowell, First Flight...

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