Skip to content
MarketScale
‹ Back to IndustriesHealthcare

The Role of Telehealth Technologies in the Creation of Smart Hospitals

Telehealth has been around for quite a while. However, it took the pandemic to generate widespread adoption and acceptance of telehealth in hospitals globally. In this episode of “Health and Life Sciences at the Edge,” host Justin Honore talks with Intel’s Ed Buffone about the technologies that are making Smart Hospitals a reality and the…

This story was produced through MarketScale. See how Healthcare teams put it to work with Executive Thought Leadership.

Promoted content from Intel on MarketScale.

Share

Telehealth has been around for quite a while. However, it took the pandemic to generate widespread adoption and acceptance of telehealth in hospitals globally. In this episode of “Health and Life Sciences at the Edge,” host Justin Honore talks with Intel’s Ed Buffone about the technologies that are making Smart Hospitals a reality and the challenges that must still be addressed.

“During the pandemic, the healthcare system was under siege. This virus was draining the resources of every hospital in the country,” says Buffone. “We needed alternative ways to reach and treat patients. The two technologies that made that possible were virtual visits and remote monitoring.” However, telehealth encompasses a broad range of technologies and applications that must work seamlessly together to make Smart Hospitals viable. “What hospitals lack is an organized, holistic approach to telehealth,” says Buffone. “In many hospitals, individual departments deploy telehealth, but they’re siloed. The solution is a cohesive, enterprise-wide approach.”

The three major technologies driving the move to Smart Hospitals are Artificial Intelligence (AI), Analytics, and 5G. “AI is a key element that makes hospitals Smart Hospitals,” says Buffone. “Healthcare is an industry that is rich in data, and AI takes advantage of that data to give clinicians more insight into patient care.” Buffone refers to AI as Assisted rather than Artificial Intelligence. “When it comes to healthcare, there’s nothing artificial about AI,” he says. “The clinician is making the intelligent decisions for the patient. AI just provides data that can help.”

Working alongside AI are analytics and 5G. Analytics provide insights into patient populations and 5G extends patient care networks, making it possible to follow patients through their care journeys.

According to Buffone, there are three main hurdles to implementing these technologies in hospitals – finances, staffing, and lack of organization. “I think the real solution is maturity,” says Buffone. “Maturity of the technologies and the processes. As these technologies become more accepted and integrated into the workflow, the overall financial lift lessens. At that point everyone has a clear understanding of the return on investment and how the technologies provide for lower costs, most efficiency, and better patient satisfaction. Ultimately, that’s what we’re after,” Buffone adds. “It’s all about the patient journey, patient satisfaction, and patient safety. If you can do that while lowering costs and providing more operational efficiencies those barriers will fall away.”

Connect with Ed Buffone on LinkedIn. 

Follow us on Twitter: @IntelHealth 

To learn more about telehealth and Smart Hospitals visit: https://www.intel.com/content/www/us/en/healthcare-it/smart-hospital.html 

Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Internet of Things Group. 

Intel

Part of this channel

Intel

Silicon and AI platforms powering enterprise and edge compute.

Visit the channel →

Healthcare: are you visible to AI?

Before they reach out, Healthcare buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Healthcare Insights

Gene therapies, early detection, and GLP-1 drugs are reshaping enterprise healthcare procurement

Gene therapies, early detection, and GLP-1 drugs are reshaping enterprise healthcare procurement

Recent advancements in healthcare, including gene therapies, early detection methods, and GLP-1 drugs, are influencing enterprise healthcare procurement strategies. These innovations are impacting benefit plan adjustments and procurement decision-making processes. The healthcare industry is experiencing a notable shift due to FDA-cleared treatments and predictive diagnostics.

  • 01Gene therapies and early detection methods are transforming healthcare procurement.
  • 02FDA-cleared treatments are prompting shifts in benefit plans.
  • 03Advancements are accelerating decision-making in healthcare procurement.

Jul 14, 2026

FDA clears UpDoc's LLM diabetes app, grants Aidoc breakthrough status as clinical AI crosses new regulatory thresholds

FDA clears UpDoc's LLM diabetes app, grants Aidoc breakthrough status as clinical AI crosses new regulatory thresholds

UpDoc has received FDA clearance for its LLM-driven diabetes management app, while Aidoc has been granted breakthrough device status for its AI-drafted radiology reports. This marks a significant milestone as clinical AI applications continue to gain regulatory approval and recognition. The advancements showcase the potential of AI in improving healthcare management and diagnostic processes.

  • 01UpDoc's diabetes management app receives FDA clearance.
  • 02Aidoc achieves breakthrough device status for AI radiology reports.
  • 03Regulatory milestones highlight AI's growing role in healthcare.

Jul 13, 2026

Cedars-Sinai's CDAIO on healthcare AI's second wave: workforce transformation, not just productivity

Cedars-Sinai's CDAIO on healthcare AI's second wave: workforce transformation, not just productivity

The chief data and AI officer at Cedars-Sinai discusses the evolving role of AI in healthcare. While the first wave of AI focused on enhancing productivity, the second wave is expected to transform job roles and the workforce structure. This shift indicates a deeper integration of AI technology in healthcare operations.

  • 01First wave of AI increased productivity in healthcare.
  • 02Second wave aims to restructure job roles.
  • 03AI will deeply integrate into healthcare operations.

Jul 13, 2026

Explore More Healthcare Insights

Read more expert perspectives from across Healthcare.

Browse Healthcare Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Healthcare and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512