When COVID-19 triggers advances in telehealth, the system will figure out how to support energy

Health systems rapidly expanded their telemedicine, artificial intelligence, and revenue cycle programs during the COVID-19 pandemic, according to a report from the Center for Connected Medicine and Class Research, supported by Nokia-UPMC. However, the rapid implementation has expanded the opportunities for improvement that many would like to face in the coming year.

• A survey of 117 executives from 112 supplier organizations revealed growing interest in and use of AI. Half of the respondents said they are now using these apps to support clinical decisions and manage beds and devices, among other things.

• Revenue cycle management also has a higher priority for systems and an area that can be improved according to the fourth “Top of Mind for Top Health Systems” report. Systems said it plans to use artificial intelligence for these shows and is optimistic that the innovation will happen next year.

The pandemic catalyzed the adoption of telemedicine and other technologies earlier this year, with the government shutdown forcing suppliers to review their operations. Today, healthcare systems are grappling with integrating new technologies for a future world after the pandemic.

According to the report, early adopters of telemedicine are looking to improve integration, infrastructure, and security in 2021 and are now focusing on long-term telemedicine decisions.

However, uncertainty about reimbursement remains as CMS attempts to recover some of the exemptions introduced during the public health crisis.

30% of respondents said they did not know what their plans were if telemedicine reimbursements returned to pre-COVID levels, and 13% said they would return for in-person visits.

20% said they would continue to conduct virtual tours independently, while 17% said they would analyze the financial viability of continued use.

“Much of the amount invested in this technology will depend on how these regulations go,” said Jennifer Despain, director of market analysis at health information research firm Klas. “Because if you can’t make money with something, you won’t spend a lot of money on it.”

Health systems also reported widespread adoption of artificial intelligence to mine their own data, although they shared concerns about future privacy and security regulations.

They used artificial intelligence to help with clinical decision-making, manage beds and equipment, staff, and monitor ICD-10 codes to find patients at risk.

Most systems rely on vendors rather than develop their AI capabilities, the report says, and half of the respondents use less than 20 percent of their healthcare system data in their AI applications.

In the future, vendors have said they want to use artificial intelligence to manage their sales cycle. Respondents believe the technology can help solve billing and coding problems or complaints.

According to the report, they are less dependent on AI capabilities to improve pricing transparency and ACO’s requirements for shared savings.

Managing the revenue cycle has long been a struggle in the health sector, “but I think the pandemic has certainly made it difficult to generate revenue and cut costs for many health systems,” she said. Desperate.

Respondents said that in the next year they plan to increase telemedicine as a revenue stream, allow more employees to work remotely, and use more technology to monitor cycle data.