Real-time analytics, during the pandemic and beyond
<p>Seldom has the need for granular, accessible, actionable data been made more apparent than during the fast-changing coronavirus crisis – for both building a clinical knowledge-base for effective decision support and ensuring the right information is routed to the right stakeholders at the right time. The pandemic has been an object lesson in the value of healthcare analytics and the easy availability of critical data, whether for hospital surge planning or safe workplace reopening strategies.</p>
<p>Going forward, there will be lasting lessons from this crisis about how data is exchanged, how it's managed, how it's visualized, how it's put to work informing patient care decisions and population health. </p>
MercyOne Des Moines Medical Center, with the efficiency gained through Cerner EHR-linked analytics, has reduced the time spent aligning daily staffing by 70 hours per week.
A joint project of the Departments of Health and Human Services, Veterans Affairs and Energy, the initiative will leverage the DOE's artificial intelligence and high-performance computing capabilities to gain analytics insights more quickly.
A healthcare system in which stakeholders share, adopt and apply medical knowledge in real time enables improved care, accelerated workflows, streamlined business processes and a better balance of resources with demand.
This special report brings together four telemedicine experts from Amwell, Caregility, Eko and emocha Health to offer best practices for optimal technology performance.
The agency will accept suggestions for new data classes for the United States Core Data for Interoperability, via its new ONDEC system, through Oct. 9.
Defense Health Agency will use its tools to help with the delivery of tele-critical care and remote patient monitoring for service members deployed worldwide.
Many health systems had just two days to expand or overhaul their COVID-19 patient-data-reporting practices, according to leaders from more than 10 state hospital associations.
Vendor members, including Cisco, doc.ai, Geometer, IBM, NearForm, Tencent and VMware, will work together to advance global projects focused on COVID-19 and population health.
A Missouri Hospital Association representative says that closed hospitals are listed as not reporting COVID-19 patient data for that state, potentially skewing totals.
The public health, research, medical, science and legal organizations all voiced concerns about data availability and transparency under the new process, which instructs hospitals to bypass the CDC and report directly to HHS.
UPMC spin-off Curavi Health, CarePointe and U.S. Health Systems will work together on integrated pop health analytics and virtual-care tools for nursing homes and other underserved elder populations.
The cloud service can enable developers to more easily create secure pipelines to handle streaming biometric data and other PHI from remote patient-monitoring devices.
Centers for Disease Control and Prevention Director Dr. Robert Redfield says the controversial new process, which calls on hospitals to send capacity and utilization data via the HHS Protect system, was made with CDC support.
The focus is on the cloud-based Sunrise platform, with Azure, Power BI and other tools helping improve security, scalability and flexibility to build out analytics and add third-party apps.
The health IT company’s EHR-agnostic system aggregates data to help providers better understand and manage their patient panel, and tailors practice workflows to align with value-based protocols.
A blog post published in Health Affairs outlines a framework for tracking the effectiveness of stakeholder behavior in response to ONC data-sharing rules.
In a HIMSS20 Digital session, Keith Parker highlights the problems inherent in mass amounts of data and walks health IT leaders through making that data work.
The longtime partners will build out what they're calling the world's largest-ever remote intensive care system, as the VA is poised for a significant increase in IT funding.
The report offers best practices and advice – around software, data-governance, legal and ethical considerations and more – for four key research areas: clinical data, omics practices, epidemiology and social sciences.
The Office of the National Coordinator for Health IT found that the majority of centers used a combination of electronic and paper methods to manage client health information in 2017.
Healthcare providers have ramped up tools to fight the pandemic at a breakneck speed, but CIOs say innovation must deploy technology with people in mind.
Predictive analytics platform CLEW's ICU tool uses artificial intelligence to help identify patients with a greater likelihood of respiratory failure or hemodynamic instability.
In this special report, we offer in-depth profiles of companies and technologies that can help providers target their population health management efforts and direct outreach for social determinants of health.
While some organizations are finding success as they map coronavirus spread, public health agencies are still often relying on manual processes to gather and submit data, which is often incomplete, says former U.S. Chief Technology Officer Aneesh Chopra.
John Halamka describes how clinicians at Mayo are benefiting from machine learning-powered approaches to imaging, predictive analytics and other types of decision support – and using machine learning to mine historical data for new treatments.
The university's COVID-19 telemedicine clinic plans to apply machine learning algorithms to data from patients' vital signs, health behavior and self-reported symptoms.
Working Well, designed to support evolving clinical protocols, enables contact tracing and can be configured to organizations' own specific back-to-work needs.
The Center for Post-COVID Care will provide resources for patients recovering from the disease, while the new Institute for Health Equity Research will explore ways to reduce healthcare disparities.
In a HIMSS20 Digital presentation, leaders from Google Cloud, Nuance and the Health Data Analytics Institute offer their perspectives on how AI-powered insights and automation are helping health systems push forward.
Health Catalyst's Capacity Planning Tool forecasts when hospitals will hit their limit on beds, ventilators, personal protective equipment and staffing.