Healthcare Analytics, Population Health Management, Healthcare Big Data

Clinical Analytics

Provider Coalition to Use Machine Learning for Type 1 Diabetes

by Jennifer Bresnick

A three-year collaboration between several top healthcare providers will leverage machine learning techniques to improve the identification and treatment of Type 1 diabetes.  Funded by a grant from the Leona M. and Harry B. Helmsley...

Henry Ford to Launch New Precision Medicine, Cancer Center

by Thomas Beaton

A new facility in Detroit, MI aims to become a premier destination center for ambulatory cancer treatment, precision medicine, clinical trials and research, and enhanced support services for cancer patients. The Henry Ford Health System...

70% of Orgs Planning Precision Medicine Will Deploy Within 2 Years

by Jennifer Bresnick

Precision medicine is quickly approaching its mainstream tipping point as organizations pursue the benefits of delivering personalized care to patients.  Nearly 70 percent of healthcare organizations that are planning precision...

93% of Payers, Providers Say Predictive Analytics are the Future

by Jennifer Bresnick

Healthcare organizations will not be able to navigate the financial and clinical challenges of the future without investing in predictive analytics tools, said more than 90 percent of respondents to a Society of Actuaries (SOA)...

Which Healthcare Data is Important for Population Health Management?

by Jennifer Bresnick

From claims to electronic health records to input from the Internet of Things, healthcare organizations have a whole lot of data on their hands. Big data has become one of the industry’s most precious business assets, but it can...

Artificial Intelligence Could Take Over Surgical Jobs by 2053

by Jennifer Bresnick

Robots are already a familiar sight for surgeons in many operating rooms, but there is a good chance that artificial intelligence will eventually render its human colleagues obsolete.  In a survey of machine learning and AI experts,...

CancerLinQ Partners with FDA for Precision Medicine Studies

by Jennifer Bresnick

CancerLinQ and the FDA have entered a long-term partnership centered on studying the real-world impacts of precision medicine therapies for cancer care.  Using big data analytics and patient data, the two organizations will monitor...

Understanding the Many V’s of Healthcare Big Data Analytics

by Jennifer Bresnick

Extracting actionable insights from big data analytics – and perhaps especially healthcare big data analytics – is one of the most complex challenges that organizations can face in the modern technological world. In the...

IBM Watson’s Cognitive Computing Rivals Human Oncologists

by Jennifer Bresnick

IBM Watson’s cognitive computing skills are getting even sharper as the supercomputer continues to develop its diagnostic and clinical decision support abilities.  At the ASCO 2017 conference this week, IBM announced that...

UPenn Uses Machine Learning, EHRs to Target Severe Sepsis

by Jennifer Bresnick

Researchers at the University of Pennsylvania Health System have developed a machine learning tool that helps predict patients at highest risk for developing severe sepsis, a common and fast-moving killer in the inpatient setting. Using...

Unique Device Identifiers in Claims Could Aid Healthcare Analytics

by Jennifer Bresnick

Adding unique device identifiers (UDIs) to claims data could significant improve patient safety and healthcare analytics, argues a new letter to CMS and the FDA, and speeding up the regulatory process requiring the change “would...

Deep Learning Network 100% Accurate at Identifying Breast Cancer

by Jennifer Bresnick

A deep learning network developed at Case Western Reserve University earned a 100 percent accuracy score when identifying the presence of invasive forms of breast cancer in pathology images.  The machine learning tool was consistently...

EHR, Biobank Data Uncovers Genetics of Personalized Medicine

by Thomas Beaton

Research led by Vanderbilt University Medical Center (VUMC) and University of Arizona’s College of Pharmacy effectively used EHR and biobank data to create a database that identifies specific genetic traits influencing personalized...

Penn Med. Population Health Analytics Dashboard Wins ECRI Prize

by Jennifer Bresnick

A population health analytics dashboard that brings big data to the point of care has secured the ECRI Institute’s 11th Health Devices Achievement Award for the Penn Medicine Center for Health Care Innovation. The health IT tool,...

Top Healthcare Business Intelligence Companies by Hospital Users

by Kate Monica

In an increasingly data-driven environment, healthcare business intelligence companies are offering hospitals the health IT tools they need to participate in value-based care, population health management, and operational...

FHIR Can Move Genomics from Prediction to Precision Medicine

by Jennifer Bresnick

In just a few short decades, the field of genomics has expanded dramatically, transitioning from a specialized discipline of academic biology into a mainstay of clinical care at academic medical centers, dedicated precision medicine hubs,...

48% of Businesses, Including Healthcare, Face Big Data Skills Gap

by Jennifer Bresnick

Nearly half of the global business landscape, including the healthcare industry, are currently unable to find staff with the talent and skills to help them reach their big data analytics goals, according to a new survey from...

UVA Gene Mutation Research Method Speeds Precision Medicine

by Jennifer Bresnick

A team from the University of Virginia School of Medicine has developed a quicker way to examine the impact of gene mutation on patient health, potentially changing the way cancer labs conduct research into precision medicine and...

KLAS: Epic Systems, Cerner Lead EHR Vendors in Sepsis Analytics

by Jennifer Bresnick

Hospitals searching for clinical analytics and patient surveillance tools for combating sepsis give high marks to functionalities provided by Epic Systems and Cerner Corporation, KLAS Research says in a new report.  The two...

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...

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