Experfy
No Result
View All Result
  • Home
  • Future of Work
  • AI & Machine Learning
  • Big Data & Cloud
  • IoT & Automation
  • Software
  • ConsumerTech
  • HealthTech
  • FinTech
  • Home
  • Future of Work
  • AI & Machine Learning
  • Big Data & Cloud
  • IoT & Automation
  • Software
  • ConsumerTech
  • HealthTech
  • FinTech
No Result
View All Result
Experfy Insights
No Result
View All Result
Home HealthTech

Healthcare Leaders Find AI a Top Digital Health Priority for 2021

Samantha McGrail by Samantha McGrail
November 4, 2020
in HealthTech
3 min read
0
Healthcare Leaders Find AI a Top Digital Health Priority for 2021

Source: Thinkstock

Share on FacebookShare on Twitter

Health system technology leaders found that digital health solutions, such as AI, are one of the most impactful health technology areas during the COVID-19 pandemic and in the future.

KLAS and the Center for Connected Medicine (CCM) recently released a report which found artificial intelligence (AI) to be one of the most promising emerging technologies in the next two years.

The report, Top of Mind for Top Health Systems 2021 noted that health system technology leaders found digital health solutions, such as AI, are one of the most impactful health technology areas during the COVID-19 pandemic.

Specifically, clinical decision support was the most common use area for AI (61 percent), followed by dictation assistant or transcription (50 percent) and diagnostic medical imaging (48 percent). 

A smaller percentage of respondents reported that they used AI for bed management, device management, staffing, analytics and assessment, tracking ICD-10 codes to find at-risk individuals, and contact tracing. 

Additionally, 44 percent of businesses believed that COVID-19 increased its AI focus and investment, researchers noted. And currently, AI is keeping patients engaged with their providers and focused on their individual health.

“COVID-19 has exposed a lot of the weak spots in our operations, data intelligence, processing, and workflows. For example, virtual health has given us more understanding of patient utilization. It has shown us that we need much better data intelligence,” a vice president of Revenue Cycle Operations said in the report. 

Prior to the pandemic, many health systems found use cases for big data analytics. 

Now, systems are looking into algorithm-driven tools, such as bots, business intelligence, and AI to drive efficiencies in operations, clinical decision-making, and visibility as the need for virtual care has increased dramatically.

Additionally, revenue cycle management and virtual assistant applications were the most common responses for areas of planned AI use in the future, researchers stated.

Although many health systems use their data for AI, over half use less than 20 percent of it. Researchers said that this is mainly because health systems generally use AI tools for specific use cases, not an enterprise-wide approach. 

Notably, most healthcare organizations using AI technology leverage vendor-built solutions (70 percent). It is less common for organizations to develop these abilities on their own due to the complex process and overall cost, researchers explained. 

In terms of specific use cases, 87 percent of virtual assistant use cases turn to vendor AI solutions. Over 80 percent of respondents also used vendor AI solutions for dictation assistant or transcription (85 percent), clinical decision support (82 percent), genomic analysis (80 percent), and revenue cycle cases (80 percent).

“AI is going to make a phenomenal difference in health care, but it will be effective in very specific, narrow use cases that are done well,” said a chief analytics officer. “I don’t believe we are just going to feed all our data into some supercomputer that will tell us what the future is.”

Finally, while most health systems are comfortable with the current level of data regulation, some are somewhat concerned that stricter policies could limit AI abilities, while others are concerned that data kept by their vendors is not secure. 

Additionally, a small percentage of respondents expressed concern about the unknowns of machine learning and had questions about how data is used to inform decisions and if it could be used in a biased way. 

“There are so many unknowns about machine learning that create challenges. One thing I am very concerned about is unintended biases within the algorithms; those could come from the original data sets or the programmers,” a chief medical information officers (CMIO) said in the report. 

Tags: Artificial IntelligenceDigital Health SolutionsHealth System TechnologyMachine Learning
Previous Post

An Ultimate Guide to Market Your Mobile App

Next Post

10 Ways AI Is Improving New Product Development

Samantha McGrail

Samantha McGrail

Samantha McGrail is News Writer at Xtelligent Healthcare Media, LLC, the leading integrated marketing solutions B2B media and event company focused on the healthcare industry.

Next Post
10 Ways AI Is Improving New Product Development

10 Ways AI Is Improving New Product Development

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

POPULAR POST

  • A Comparison of Tableau and Power BI, the two Top Leaders in the BI Market

    A Comparison of Tableau and Power BI, the two Top Leaders in the BI Market

    11135 shares
    Share 4459 Tweet 2782
  • Insights To Agile Methodologies For Software Development

    2473 shares
    Share 989 Tweet 618
  • Why you should forget loops and embrace vectorization for Data Science

    2286 shares
    Share 914 Tweet 572
  • Greedy Algorithm and Dynamic Programming

    1748 shares
    Share 699 Tweet 437
  • Cloudera vs Hortonworks vs MapR: Comparing Hadoop Distributions

    1624 shares
    Share 649 Tweet 406
Experfy Insights

Experfy Insights provides cutting-edge perspectives on Big Data and analytics. Our unique ability to focus on business problems enables us to provide insights that are highly relevant to each industry.

Join Us At

About Us

Contact Us


1700 West Park Drive, Suite 190
Westborough, MA 01581

Email: [email protected]

Toll Free: (844) EXPERFY or
(844) 397-3739

© 2020, Experfy Inc. All rights reserved.

No Result
View All Result
  • Home
  • Future of Work
  • AI & Machine Learning
  • Big Data & Cloud
  • IoT & Automation
  • Software
  • ConsumerTech
  • HealthTech
  • FinTech

© 2020, Experfy Inc. All rights reserved.