Healthcare Analytics, Population Health Management, Healthcare Big Data

Clinical Decision Support

Clinical Decision Support App May Cut CTs for Head Injuries

May 24, 2017 - A clinical decision support (CDS) application that includes patient education and risk stratification may be able to reduce the delivery – and costs – of unnecessary CT scans for minor head injuries, says a new study in the Journal of Medical Internet Research. The Concussion or Brain Bleed app, developed at Yale and the Mayo Clinic, integrates bedside clinical decision support...


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Clinical Decision Support App May Cut CTs for Head Injuries

by Jennifer Bresnick

A clinical decision support (CDS) application that includes patient education and risk stratification may be able to reduce the delivery – and costs – of unnecessary CT scans for minor head injuries, says a new study in the Journal...

Wearable Devices, Machine Learning Detect Signs of Stroke

by Jennifer Bresnick

A combination of wearable devices and a machine learning algorithm to interpret a common test for signs of stroke could provide an accurate and reliable way to identify patients with motor pathway damage, finds a study published this week in...

Top 4 Machine Learning Use Cases for Healthcare Providers

by Jennifer Bresnick

As healthcare providers and vendors start to show off more mature big data analytics skills, machine learning and artificial intelligence have quickly rocketed to the top of the industry’s buzzword list. The possibility of using intelligent...

EHRs, Clinical Decision Support Top 2017 Patient Safety Hazard List

by Jennifer Bresnick

Information management errors in electronic health records, incorrect use of clinical decision support, and poor prescribing habits are among the most dangerous health IT hazards for 2017, according to ECRI Institute’s annual patient safety...

PGHD, Genomic Data Predicted to Power Clinical Decision Support

by Jennifer Bresnick

Patient-generated health data (PGHD) and individualized genomics are expected to become two of the most impactful data sources for clinical decision support, population health management, and care coordination over the next five years, according...

Unfiltered EHR Data Overloads Physicians, Perpetuates Burnout

by Jennifer Bresnick

Interoperability and seamless data exchange are all the rage among regulators and vendors looking to give providers every decision-making advantage they can.  From meaningful use and MACRA to 21st Century Cures, CommonWell, and Carequality,...

Artificial Intelligence in Healthcare: Augmentation or Companionship?

by Jennifer Bresnick

Every year, the HIMSS Conference and Exhibition acts as a barometer for the health IT industry, reflecting the most promising trends and hottest buzzwords capturing the attention of regulators, developers, providers, and consultants. In 2015,...

Genomics, Clinical Decision Support Combo Cuts ED Visits by 42%

by Jennifer Bresnick

Providers who combined genetic testing with a clinical decision support tool to treat home health patients using multiple medications were able to reduce hospital readmissions by 52 percent and cut ED visits by 42 percent, according to a study...

UCSF, Intel Partner for Healthcare AI, Deep Learning Project

by Jennifer Bresnick

The University of California San Francisco and Intel Corporation have partnered to create a deep learning analytics platform that will deliver clinical decision support and predictive analytics capabilities to its users. The platform seeks to...

ONC Picks FHIR Health Data Aggregation App Contest Winners

by Jennifer Bresnick

The Office of the National Coordinator has picked six data aggregation, EHR utilization, and patient experience developers as winners of the second phase of its API-based app challenge.  The industry-wide competition, announced in March...

Cleveland Clinic, IBM Watson Partner for Population Health

by Jennifer Bresnick

Cleveland Clinic and IBM Watson have agreed to a five-year collaboration to further their work on data-driven population health management, the two companies announced in a press release.  The project will aim to establish best practices...

Microsoft Takes on Blindness, Eye Care with AI, Machine Learning

by Jennifer Bresnick

A new international collaboration, headed by Microsoft, will explore the use of artificial intelligence and machine learning for preventing blindness and improving eye health for patients around the globe, the company announced this week. ...

6 EHR Patient Safety Strategies for Medication Orders, CPOE

by Jennifer Bresnick

Electronic health records have a mixed reputation when it comes to patient safety, leading to numerous public and private initiatives to improve usability and implement new features to prevent accidental harm.  The ONC is contributing to...

UCSF to Develop Machine Learning for CDS, Imaging Analytics

by Jennifer Bresnick

The University of California San Francisco’s Center for Digital Health Innovation (CDHI) and GE Healthcare are partnering to develop a cache of machine learning algorithms and imaging analytics tools that can be used to provide clinical...

Using Big Data Analytics, Systems Engineering to Tackle Sepsis

by Jennifer Bresnick

Sepsis is a silent and shockingly effective killer, causing mortality in close to a third of patients, but researchers at North Carolina State University are planning to make big data analytics an even more powerful force than this insidious,...

Natural Language Processing Markets Set to Grow in Healthcare

by Jennifer Bresnick

Natural language processing (NLP) is quickly becoming one of the foundational big data technologies that will allow healthcare to move forward with complex analytics, according to a series of market reports predicting significant growth for NLP...

CancerLinQ Data Lake Gathers Electronic Records of 1M Patients

by Jennifer Bresnick

The CancerLinQ initiative now boasts electronic health data from one million cancer patients, adding to the platform’s ability to help oncologists across the nation improve their quality of care. The project, founded in 2013 under the auspices...

Clinical Decision Support May Boost ID of Chronic Kidney Disease

by Jennifer Bresnick

EHR-based clinical decision support (CDS) tools, including risk assessments and patient registries, may be able to improve early detection of chronic kidney disease, according to a new study in the Journal of the American Board of Family Medicine,...

Smart Big Data is Key to Population Health, Value-Based Care

by Jennifer Bresnick

Big data is everywhere in the healthcare industry, flooding in by the gigabyte each time a patient seeks care from a provider.   From intake to discharge and every step in between, a patient’s data determines what will happen,...

EHRs Can’t Keep Up with Healthcare Analytics Abilities, Needs

by Jennifer Bresnick

The electronic health record simply isn’t evolving quickly enough to keep up with rapid innovations in healthcare big data analytics and the increasingly complex needs of end-users, says an editorial published in the Journal of the American...

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