Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

Healthcare AI in a year: 3 trends to watch

Between the COVID-19 pandemic, a mental health crisis, rising healthcare costs, and aging populations, industry leaders are rushing to develop healthcare-specific artificial intelligence (AI) applications. One signal comes from the venture capital market: over 40 startups have raised significant funding—$20M or more —to build AI solutions for the industry. But how is AI actually being put to use in healthcare? 

The “2022 AI in Healthcare Survey” queried more than 300 respondents from across the globe to better understand the challenges, triumphs, and use cases defining healthcare AI. In its second year, the results did not change significantly, but they do point to some interesting trends foreshadowing how the pendulum will swing in years to come. While parts of this evolution are positive (the democratization of AI), other aspects come with less excitement (a much larger attack surface). Here are the three trends enterprises need to know. 

1. Ease of use and democratization of AI with no-code tools

Gartner estimates by 2025, 70% of new applications developed by enterprises will use no-code or low-code technologies (up from less than 25% in 2020). While low-code has the ability to simplify workloads for programmers, no-code solutions, which require no data science intervention, will have the biggest impact on the enterprise and beyond. That’s why it’s exciting to see a clear shift in AI use from technical titles to the domain experts themselves. 

For healthcare, this means more than half (61%) of respondents from the AI in Healthcare Survey identified clinicians as their target users, followed by healthcare payers (45%), and health IT companies (38%). This, paired with significant developments and investments in healthcare-specific AI applications and availability of open source technologies, is indicative of wider industry adoption.

This is significant: putting code in the hands of healthcare workers in the way that common office tools, like Excel or Photoshop, will change AI for the better. In addition to making the technology more accessible, it also enables more accurate and reliable results, since a medical professional—not a software professional—is now in the driver’s seat. These changes are not happening overnight, but the uptick in domain experts as primary users of AI is a big step forward. 

2. Growing sophistication of tools, and the growing utility of text

Additional encouraging findings involved advances in AI tools and a desire for users to drill down on specific models. When asked what technologies they plan to have in place by the end of 2022, technical leaders from the survey cited data integration (46%), BI (44%), NLP (43%), and data annotation (38%). Text is now the most likely data type used in AI applications and the emphasis on Natural Language Processing (NLP) and data annotation indicate an uptick in more sophisticated AI technologies.  

These tools enable important activities like clinical decision support, drug discovery, and medical policy assessment. After living through two years of the pandemic, it’s clear how crucial progress in these areas is, as we develop new vaccines and uncover how to better support healthcare system needs in the wake of a mass event. And by these examples, it’s also evident that healthcare’s use of AI varies greatly from other industries, requiring a different approach. 

As such, it should come as no surprise that technical leaders and respondents from mature organizations both cited the availability of healthcare-specific models and algorithms as the most important requirement for evaluating locally installed software libraries or SaaS solutions. As seen by the venture capital landscape, existing libraries on the market, and the demand from AI users, healthcare-specific models will only grow in coming years. 

3. Security & safety concerns grow

With all the AI progress that’s been made over the past year, it’s also opened up a range of new attack vectors. When asked what types of software respondents are using to build their AI applications, the most popular selections were locally installed commercial software (37%), and open source software (35%). Most notably was a 12% decline in use of cloud services (30%) from last year’s survey, most likely due to privacy concerns around data sharing. 

Additionally, a majority of respondents (53%) chose to rely on their own data to validate models, rather than on third-party or software vendor metrics. Respondents from mature organizations (68%) signaled a clear preference for using in-house evaluation and for tuning their models themselves. Again, with stringent controls and procedures around healthcare data handling, it’s obvious why AI users would want to keep operations in-house when possible. 

But regardless of software preferences or how users validate models, escalating security threats to healthcare are likely to have a substantial impact. While other critical infrastructure services face challenges, healthcare breaches have ramifications beyond reputational and financial loss. The loss of data or tampering with hospital devices can be the difference between life and death. 

AI is poised for even more significant growth as developers and investors work to get the technology in the hands of everyday users. But as AI becomes more widely available, and as models and tools improve, security, safety, and ethics will take center stage as an important area to keep tabs on. It will be interesting to see how these areas of AI in healthcare evolve this year, and what it means for the future of the industry. 

Artificial Intelligence, Healthcare Industry


Read More from This Article: Healthcare AI in a year: 3 trends to watch
Source: News

Category: NewsJune 23, 2022
Tags: art

Post navigation

PreviousPrevious post:How VMware aims to make multi-cloud seamlessNextNext post:M&T Bank: The Importance of Human Relationships in Modernization

Related posts

휴먼컨설팅그룹, HR 솔루션 ‘휴넬’ 업그레이드 발표
May 9, 2025
Epicor expands AI offerings, launches new green initiative
May 9, 2025
MS도 합류··· 구글의 A2A 프로토콜, AI 에이전트 분야의 공용어 될까?
May 9, 2025
오픈AI, 아시아 4국에 데이터 레지던시 도입··· 한국 기업 데이터는 한국 서버에 저장
May 9, 2025
SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
May 8, 2025
IBM aims to set industry standard for enterprise AI with ITBench SaaS launch
May 8, 2025
Recent Posts
  • 휴먼컨설팅그룹, HR 솔루션 ‘휴넬’ 업그레이드 발표
  • Epicor expands AI offerings, launches new green initiative
  • MS도 합류··· 구글의 A2A 프로토콜, AI 에이전트 분야의 공용어 될까?
  • 오픈AI, 아시아 4국에 데이터 레지던시 도입··· 한국 기업 데이터는 한국 서버에 저장
  • SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
Recent Comments
    Archives
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.