Next-Gen series

The next-generation of healthcare tech

From artificial intelligence, analytics and cloud services to EHRs, revenue cycle and telemedicine tools, health technologies are changing. Fast. Our next-gen series dives into the front-runners, startups and stalwarts to share insights about what’s coming on the near horizon from the very experts shaping the future of healthcare.

What's next?

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Next-gen cloud computing: Integrated data

by Bill Siwicki

Don’t leave it up to tech vendors to drive the next phase of integrated data that gets channeled between doctors, payers, providers and patients.

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Next-gen precision medicine: Consumerism, EHR integration

by Bill Siwicki

Experts say emerging tools could become as important to precision medicine as HTML is to the web.

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What's next for clinical decision support tools?

by Bill Siwicki

CDS vendors are working to incorporate AI and machine learning into their products to boost diagnostics, imaging, pathology and radiology.

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AI, blockchain will help hospitals adapt to value-based care

by Bill Siwicki

Healthcare executives need to track these three key technology advancements to keep pace with coming changes.

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Next-gen IT infrastructure backed by analytics, context

by Bill Siwicki

APIs, automation, blockchain along with mobile and medical devices will enable a new era of learning networks capable of adapting to deliver faster innovation.

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Next-gen enterprise imaging: Algorithms, NLP

by Bill Siwicki

Experts in the imaging space predict more data, augmented intelligence and other cutting-edge features will become available in the future.

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Next-gen telehealth will advance pop health

by Bill Siwicki

Telemedicine platforms and tools will transform virtual care by incorporating emerging technologies and novel uses of data.

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Next-gen health IT consulting: Moving into post-EHR era

by Bill Siwicki

Consultants weigh in on what hospitals should expect from them as healthcare moves beyond digitization and into the age of consumerism.

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Next-gen interoperability: AI, blockchain, FHIR and open source analytics

by Bill Siwicki

Healthcare has struggled with data sharing for a long time but, even still, experts said the future will be robust as emerging technologies and standards become more common.

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Next-gen clinical communication: Real-time location, context-aware and mobile

by Bill Siwicki

Here are the features and functionality clinical communication tool vendors think will emerge next.

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Next-gen population health: mHealth, social determinants, prescriptive analytics

by Bill Siwicki

Experts share insights about where pop health technology and tools are headed in the immediate future.

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Next-gen medical devices: Rethinking patient experience

by Bill Siwicki

Experts discuss where medical devices are headed as the internet of things continues to expand.

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Next-gen data: FHIR APIs, AI and genomics, tech is changing fast

by Bill Siwicki

Hospitals should also expect Blockchain, patient experience and new iteration of vendor neutral archive capabilities.

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Next-gen revenue cycle management: Value-based care, AI

by Bill Siwicki

Future tech will facilitate a patient's understanding of insurance coverage and out-of-pocket cost for services.

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Next-gen quality and safety: Genetics, social determinants, data

by Bill Siwicki

In the future, patients will have more access to their own data and more communication channels with their extended care team.

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Next-gen patient engagement: It's about communication

by Bill Siwicki

Hospitals are shaping always-on consumer experiences with cutting-edge digital health tools to access care.

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Next-gen EHRs: What will the future look like?

by Bill Siwicki

EHRs will feature automation analytics, telemedicine, genomics and more in the not-too-distant future.

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Next-gen analytics: Here’s what’s coming in the future

by Bill Siwicki

Hospitals should expect orders of magnitude more data, with emerging tools, to put information to work.

How tech is working today

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How AI command centers are helping hospitals

by Mike Miliard

Tampa General's new partnership with GE Healthcare is the most recent example of Artificial Intelligence-driven care coordination centers that harmonize patient safety and quality improvement initiatives.

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What are the top drivers of hospital tech investments this year?

by Jeff Lagasse

Healthcare organizations are also planning to ramp up customer relationship tools as they continue on the path to self-disruption, according to new research from Ernst & Young.

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How Mercy Hospital saved $4.3M with nursing analytics dashboard

by Bill Siwicki

Staff created the dashboard for tracking multiple performance metrics, including leakage.

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How one hospital lifted patient satisfaction: EHR-based nurse rounding tools

by Bill Siwicki

The system boosted its overall rating by more than 15 points in just one quarter.

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Why integrating clinical pathways into EHRs can save millions

by Bill Siwicki

Penn Medicine and Cancer Centers of America are deploying clinical pathways technologies and Mercy already saved 480 lives and $27 million by connecting them with its Epic electronic health record.

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How Mercy is improving cardiac care with analytics

by Mike Miliard

Natural language processing technology is helping the health system unlock information from the notes that it previously hadn't been able to use.

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Mass General to apply deep learning to medical records

by Bill Siwicki

Hospitals say the AI method is in use today automating things humans do well but don't have the time for – and there's much more to come.

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How to make IoT data ready for AI

by Bill Siwicki

Hospitals should begin with appropriate infrastructure and that includes robust connectivity, storage and security. Here’s a look at how to get started.

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EHRs and interoperability: Better than most people think?

by Jeff Lagasse

ATM's interoperable functionality has been a benchmark for EHRs and now, they're making progress toward a similar interoperability says Cedars-Sinai chief clinical transformation officer Scott Weingarten.

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Radiology practices using AI and NLP to boost MIPS payments

by Bill Siwicki

RadNet and vRad have deployed natural language processing tools to help them tackle over-utilization and help perform tasks that are challenging for humans.

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Rush boosts star ratings with proprietary predictive analytics

by Jeff Lagasse

The hospital was able to better grasp what it was already doing well, and what it was not, in terms of clinical documentation thanks to homegrown software.

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An inside look: NewYork-Presbyterian's AI command center

by Bill Siwicki

Nurses in a faraway control room monitor patients with AI tools and free on-premise clinicians to spend more time with patients.

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How predictive analytics and medical device data can reduce physician alerts

by Bill Siwicki

Virtua Memorial Hospital and vendor Bernoulli worked together to nearly eliminate respiratory depression alerts, enhance care and lower costs.

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Hospital leans on machine learning to reduce sepsis

by Bill Siwicki

Cabell Huntington Hospital also diminished the average sepsis-related hospital length of stay with machine learning-generated clinician alerts.

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EHR optimization key to improving patient safety

by Beth Jones Sanborn

To achieve gains in quality, hospitals need to strategically pace the rollout of new features and functionality.

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ACO wrangles data from 45 different EHRs for real-time analytics

by Mike Miliard

The CIO of Beth Israel Deaconess Care Organization says its population health platform has helped manage disparate data, but he still wishes vendors and payers would help manage the burden of value-based care.

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EHRs in the cloud: Why smaller healthcare providers are making the leap

by Bill Siwicki

Providers say flexible platforms help them to prepare for population health management and value-based care.

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UNC Health uses Epic to gather more data for comprehensive patient view

by Bill Siwicki

Using the company's "Happy Together" tool, UNC was able to document 12 percent of A1c test completions and 8.1 percent of flu shot completions from external data sources.

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How NYU Langone tweaked its Epic EHR for value-based care, saving millions

by Mike Miliard

The New York City-based health system tailored its care pathways to fix inefficiencies and gained back big ROI from the hard work it did with staff workflows and process improvements.

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How vendors are tackling credentialing, hiring and scheduling

by Jeff Lagasse

Two categories of companies are working to enable hospitals to digitize time-consuming manual processes to save time and money.

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Inside Phoenix Children’s patient safety work with Allscripts

by Mike Miliard

Phoenix Children’s CIO David Higginson and Allscripts CEO Paul Black discuss why patient safety innovation demands attention to human factors.

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Patient safety check-up: Promise, progress and a need for vigilance

by Bernie Monegain

Healthcare leaders Robert Wachter, David Bates, Leah Binder and Tejal Gandhi take the pulse of how far patient safety has come in recent decades – and point toward the work that lies ahead.

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Columbia Medical saves $6.5M by tackling ED visits

by Bill Siwicki

The multi-specialty group practice undertook a large project to use analytics and reduce emergency room utilization – and it worked.

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AI for cybersecurity? What hospitals should understand before investing

by Mike Miliard

Artificial intelligence-powered threat detection and response can be very valuable – as long as it's researched and deployed with care and planning.

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Blockchain beyond EHRs: Thinking past the usual suspects can transform healthcare

by Bill Siwicki

While EHRs and data security get all the attention, there are more immediate opportunities for the digital ledger technology.
 

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The future of personalized health is scientific wellness

by Tom Sullivan

A new quantitative era is emerging for digital health, AI, social networks, analytics and precision medicine that will eclipse the disease industry that exists today.

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Precision med: Star Wars tech on a Flintstones chassis

by Susan Morse

The ability to sequence the human genome to predict chronic diseases is the Star Wars part but the infrastructure to support personalized care is still in the Flintstones age.