EHR Optimization

What Are the Top Challenges of Clinical Decision Support Tools?

February 1, 2024 - Clinical decision support tools can help organizations manage large volumes of data while enabling them to deliver quality, value-based care. Designed to sort through large amounts of data and provide clinicians with actionable insights, these tools can suggest next steps for treatment, catch potential problems, and alert providers to information...


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HCA Healthcare Launches AI-Enabled Ambient Documentation Partnership

by Shania Kennedy

HCA Healthcare and Augmedix have announced a partnership aimed at accelerating the development of artificial intelligence (AI)-enabled ambient documentation solutions for acute care...

Deep-Learning Model Assists Researchers in Obtaining Useable EHR Data

by Mark Melchionna

With the goal of identifying a more efficient method of deciphering clinical notes, researchers from MIT described how a deep-learning model helped clean up her data, leading to information extraction...

Artificial Intelligence Assists with EHR Data Organization

by Erin McNemar, MPA

According to a recent study, physicians devote 62 percent of their time per patient reviewing electronic health records (EHRs), with the most time-consuming portion being clinical data review. To...

Education, Infrastructure Key to Precision Medicine Adoption

by Jessica Kent

To increase precision medicine adoption, healthcare leaders must build education among patients and providers, implement advanced infrastructure, and boost patient engagement, according to a report...

Leveraging Artificial Intelligence to Reduce Clinician Burnout

by Jessica Kent

While the dawn of the EHR promised streamlined, accelerated healthcare delivery, the technology can also include burdensome alerts and documentation requirements that lead to clinician...

How Organizations Can Integrate Precision Medicine with Clinical Care

by Jessica Kent

While the promises of precision medicine in healthcare are seemingly boundless, the industry has had to overcome several challenges to integrating these approaches with everyday clinical care. From...

Cerner Deploys Enhanced Clinical Decision Support Technology

by Jessica Kent

Cerner Corporation and Holon Solutions have announced a partnership to offer accelerated, seamless clinical decision support at the point of care. The organizations will deploy patented technology...

Patient Access, Privacy Vital for Integrating Genomic Data in the EHR

by Jessica Kent

Patient access, privacy, and protection are critical in facilitating the integration of genomic data into patient care and the EHR, according to a report from the American College of Medical Genetics...

How Teamwork Fuels Award Winning Health Information Management

by Jessica Kent

At the core of any meaningful healthcare intervention is medical data. A patient’s health history, prescription information, and demographic data are the building blocks of quality care delivery,...

Hard Stops in EHRs, Clinical Decision Support Can Improve Care

by Jennifer Bresnick

Clinical decision support systems that use hard stops, in which a response is required before a user can move forward with a task, are associated with higher performance on both process and outcomes...

Using Big Data Analytics for Patient Safety, Hospital Acquired Conditions

by Jennifer Bresnick

Prediction and prevention are the two main goals for patient safety experts seeking to avoid adverse events and reduce the prevalence of hospital acquired conditions (HACs).   While workflow strategies, staff training, and human...

Nurses Play a Critical Role in EHR Optimization, Data Governance

by Jennifer Bresnick

Most healthcare organizations have now celebrated at least a handful of anniversaries with their electronic health records, and are now coming to the realization that implementation was only the start...

Health Information Governance Strategies for Unstructured Data

by Jennifer Bresnick

While electronic health records still have the potential to standardize care by enabling advanced analytics and informing clinical decision-making, much of the data held within these systems – and a large proportion of the data used...