Close

New AI Research From CDW

See how IT leaders are tackling AI opportunities and challenges.

Jul 03 2025
Patient-Centered Care

AWS Summit Takeaways: How AI, the Cloud and Interoperability Center the Patient

Unlocking healthcare data can help clinicians and researchers improve patient care.

Artificial intelligence has the potential to improve clinical workflows and patient outcomes and experiences, but it’s not a magical fix to healthcare’s problems. In order for AI use cases to be successful, they need to be built on a solid foundation that includes the cloud, interoperability and data governance. All of these concepts, combined with a patient-centered mindset, can help the industry make strides in care delivery and health equity.

At the recent AWS Summit in Washington, D.C., hosted by Amazon Web Services, a panel of healthcare IT experts discussed the ways that AI, the cloud, interoperability and data can be used to drive positive change in population health.

Click the banner below to take advantage of data and artificial intelligence for better healthcare outcomes.

 

AI Helps Build Connection With Marginalized Patient Populations

At Mount Mary University in Milwaukee, occupational therapy faculty and students wanted to find ways to better connect with marginalized patient populations, especially those with a mistrust of the medical system. What they ended up creating was an app powered by generative AI. The Culturabot app was trained on data from across cultures and allows clinicians to better understand, connect with and treat their patients from historically overlooked patient populations.

“We had an Indigenous patient who came to the clinic with emphysema. They wanted to continue to do smudging as a part of their culture. Typically, the physician would say, ‘No, you have issues with COPD and emphysema, you shouldn’t be exposed to smoke.’ If that information is put into Culturabot, it will explain the tradition, the frequency of exposure and the type of smoke involved,” said Mount Mary University President Isabelle Cherney. “The patient can become more trusting of the provider because they didn’t have to explain everything.”

She added that Culturabot creates cost-effective, quality care that leads to compliance with medical advice. Patients end up wanting to see their providers again.

“The way our faculty teach now has also changed. They’re using it every day,” she said. “Culturabot has been a great advantage.”

The next step is to integrate Culturabot into an electronic health record (EHR) system such as Epic so that more providers can tap into that information. The cloud will enable the app to scale.

“The cloud is digitally accelerating everything. Apps like Culturabot that allow for equitable access to individual care plans don’t have to be repeated 10 times,” Cherney said. “It’s right in front of them.”

EXPLORE: Build a healthcare IT infrastructure to meet your organization’s needs.

The Value of Interoperability for Modern Healthcare

“When I think of value, value equals quality over cost,” said Dr. William Chasanov, senior vice president and chief health systems design officer for Beebe Healthcare in Lewes, Del. “A direct factor that raises value while decreasing cost is interoperability.”

Without interoperability, a doctor may order a chest X-ray for a patient, but when that patient sees a different doctor to treat the issue, that doctor may not have access to the image. This could result in the X-ray being repeated, which leads to increased cost and delay of diagnosis.

Interoperability brings significant value to the patient. It’s no longer a luxury, it’s a necessity,” Chasanov said.

Interoperability can reduce overall healthcare spending in the U.S. and move providers toward predictive analytics, he added. With predictive analytics, rather than everyone getting a colonoscopy at 45, for example, some may get one earlier due to increased risk, while others may be able to wait until later.

Interoperability helps clinicians to drive evidence-based medicine that is personalized to give the best, high-quality, low-cost care,” Chasanov said.

It also plays a crucial role in the continuum of care outside of the hospital and clinic. Chasanov emphasized that with interoperability, aspects of traditional care can be moved into the home.

“Interoperability puts the pieces in the continuum of care all together. If we’re all a care team, then I know what each person has done and I don’t have to repeat any of that process,” he said.

Dr. William Chasanov
Interoperability brings significant value to the patient. It’s no longer a luxury, it’s a necessity.”

Dr. William Chasanov Senior Vice President and Chief Health Systems Design Officer, Beebe Healthcare

How the Cloud Supports Healthcare Interoperability

Ten years ago, many organizations were hesitant about cloud migration due to HIPAA concerns, according to Drew Ivan, chief architect at Rhapsody. He said the pandemic accelerated cloud migration in healthcare and now, most of the organizations he’s spoken to are either migrating to the cloud or planning to do so immediately.

EHR migration has served as a vehicle for cloud migration. “Once that moves to the cloud, everything else has to follow,” Ivan said. “If it’s not in the cloud, then nothing else is.”

“The main job of interoperability is to get out of the way in terms of operationalizing high-value business use cases,” added Amol Vyas, vice president and head of interoperability at the National Committee for Quality Assurance. “Cloud computing providers are well positioned to facilitate interoperability.”

He said he’s seen this at work at the NCQA, where staff have been working in an AWS cloud environment with an AWS HealthLake interface to help validate data with respect to quality measures.

READ MORE: How can healthcare organizations boost data access in the cloud?

They have cohorts working to operationalize the production pipeline of regulated data for measuring quality. The cloud can improve the scalability and accessibility of data so that data scientists can improve its usefulness.

Cloud computing providers provide that data warehouse or depository where all data can be compared and exposed in a well-understood and documented manner. It’s a powerful concept that promotes an actual business use cases in addition to interoperability,” Vyas said.

The amount of data healthcare has accumulated is so large that the only place it can conceivably live is in the cloud, according to Ivan. He added that the cloud plays an important step in the collection of data. The next step is tagging it with metadata and meaning to allow AI to operate on it, which can accelerate the time between clinical trials and an operational standard of care.

Vyas argued that there currently isn’t enough focus on data quality. “It needs to be brought into the picture sooner rather than later so that we not only have interoperable data but data liquidity. It can be downloaded to a smartphone or used to fire up an AI model.”

Chasanov said that the cloud and data governance lay the foundation for how organizations decrease disparities and navigate social determinates of health in their communities.

“How do we identify pockets of the population that may have a higher incident of diabetes? How do we help identify specific diseases in populations?” he asked. “If we don’t have data and we don’t have the cloud computing to help analyze it, it would take data scientists weeks if not months, and you’d have to pose a question for them to start to hypothesize and evaluate. This is a process, and we’re all on different parts of this journey. But if we keep the patient at the center, we’re likely doing what’s right.”

PeopleImages/Getty Images