When it comes to the plunge into value-based healthcare of all kinds, the leaders of patient care organizations are only beginning to fully realize how complex the strategic IT challenges involved really are.
The leaders of medical groups, hospitals and health systems are finding willing partners—and tons of practical challenges—as they move forward with the federal government and with private health insurers into the new world of value-based healthcare.
Paul Chang, M.D., of the University of Chicago Medical Center argues that imaging informatics needs to embrace human-machine cybernetic collaborative workflow orchestration to improve both quality and efficiency.
The UPMC Center for High-Value Health has been approved for a $3.8 million funding award by the Patient-Centered Outcomes Research Institute (PCORI) to research integrated care models for patients with complex care needs.
At New York City-based NYU Langone Health, healthcare senior executive leaders are leveraging technologies like intelligent automation and machine learning to improve care quality and operational efficiency while also striving to enhance the patient experience.
Sixty-one percent of healthcare professionals view the “return on digital investment” produced by the billions of dollars spent on electronic health records since 2009 as “terrible” or “poor”, yet the majority of survey respondents rated analytics as extremely...
In order to address transformative issues in the healthcare industry, healthcare provider organizations and payers need to be agile, need to drive disruption utilizing technology, and need to be more analytically-driven organizations.
A Texas A&M University System-led consortium of industry, government partners and universities has been awarded a National Science Foundation (NSF) grant, with the goal of addressing the human and economic burden of diabetes and heart disease in underserved...
At the SHIEC Conference in Indianapolis last week, all eyes were on the future, and a range of opportunities for health information exchanges to make themselves indispensable to payers, providers, and public health
The Centers for Disease Control and Prevention (CDC) is awarding more than $28.6 million in additional funding to 44 states and the District of Columbia to support their responses to the opioid overdose epidemic.
There is currently tremendous innovation happening in the behavioral and mental health care space with many digital health startups and initiatives using technology to try to address one of society’s most pressing issues.
The National Institute of Health’s (NIH) All of Us Research Program, previously called the Precision Medicine Initiative, added three sets of healthcare provider organizations to its network and the organizations will help enroll participants in long-term...
Facing a growing prescription opioid crisis, healthcare provider and payer organizations are looking to leverage predictive data analytics to identify patients at high risk of an opioid overdose or addiction to intervene before an adverse event occurs.
As artificial intelligence gains more momentum in the healthcare sector, CIOs' use of these technologies has expanded. And as a result, the industry is now moving quickly, crafting solutions to meet this growing demand.
Sutter Health, a healthcare system in Northern California, and behavioral health technology company Quartet, are collaborating to deploy a technology platform that aims to better integrate mental and physical healthcare in Sutter Health’s network.
The NIH is spearheading a $14.8 million, five-year effort to launch a data resource center for cancer researchers around the world in order to accelerate the discovery of novel treatments for childhood tumors.
IBM and JDRF, a global organization funding type 1 diabetes research, are collaborating to develop and apply machine learning methods to analyze years of global type 1 diabetes research data and identify factors leading to the onset of the disease children.
As health systems and ACOs establish the infrastructure to provide actionable data to care managers and front-line clinicians, they continue to struggle with messy data, incompatible systems and a lack of automation.
As the healthcare landscape undergoes accelerating change, almost every clinical and operational area within health systems must evolve to keep pace, including pharmacy operations. One health system is leveraging technology and data to help them better manage...
Global venture capital (VC) funding for health IT companies in the first half of 2017 was 36 percent higher year-over-year with a record $4 billion raised in 359 deals versus the $3 billion raised from 286 deals in the first half of 2016, according to a report...
A new survey by LeanTaaS finds that, while the leaders of patient care organizations are attempting to leverage data and analytics to improve clinical and financial outcomes, they have not yet found EHR data to be effective in doing so
There is a gap in capabilities and core competencies between large and small hospitals and health systems in the ongoing transition to value-driven care. What’s more, small organizations often lag far behind large ones in key components of the transition, putting...
The Stanford Machine Learning Group, along with digital health company iRhythm Technologies, have developed a deep learning algorithm for the detection and diagnosis of cardiac arrhythmias, or abnormal heart rhythms.
Katrina Miller, M.D., chief medical information executive at the 2.1 million-member L.A. Care Health Plan, shares her perspectives on some of the gains that she and her colleagues have been making in improving the care management of high-risk health plan...