Human-Centered Design in AI-Driven Clinical Decision Making

By Sumona Bose

February 6, 2024

Introduction

Artificial intelligence (AI) technologies have revolutionized the healthcare industry, particularly in the realm of clinical decision support systems (CDSS). These AI-empowered systems provide patient-specific recommendations to improve clinical work. However, alongside technical advancements, it is crucial to consider the human, social, and contextual factors that impact the successful implementation and user adoption of AI-CDSS. Human-centered design plays a pivotal role in ensuring the effectiveness and acceptance of these systems. Human centered design in AI has been an important research avenue.

The Role of AI in Clinical Decision Making

AI-empowered CDSS has shown great promise in enhancing patient evaluation and work efficiency. By analyzing vast amounts of data, AI algorithms can identify patterns and provide clinicians with valuable insights for making informed decisions. This technology has the potential to revolutionize healthcare by improving diagnostic accuracy, treatment planning, and patient outcomes.

Understanding User Needs and Experiences

To gain a comprehensive understanding of AI-CDSS, a systematic review was conducted, analyzing 20 relevant articles published between 2011 and 2022. The studies assessed various aspects of AI-CDSS, including effectiveness, user needs, user experience, and other dimensions.

The effectiveness of AI-CDSS was demonstrated through improved patient evaluation and work efficiency. Clinicians reported that AI recommendations helped them make more accurate diagnoses and develop personalized treatment plans. This technology has the potential to significantly enhance clinical decision-making processes.

User needs and experiences were also explored in the reviewed studies. Clinicians expressed the importance of having access to relevant and timely information, as well as the need for user-friendly interfaces. Additionally, factors such as satisfaction, trust, usability, workload, and understandability were found to influence the acceptance and adoption of AI-CDSS.

www.frontiersin.org
Figure 1: System features and examples.

Challenges in Implementing AI-CDSS

Despite the promising nature of AI-CDSS, the systematic review identified several challenges in implementing these systems. Technical limitations, such as algorithmic biases and data quality issues, can hinder the accuracy and reliability of AI recommendations. Workflow misalignment, attitudinal barriers, and informational barriers were also identified as challenges that impact the effective use of AI-CDSS in clinical settings.

Conclusion

The integration of artificial intelligence in clinical decision-making processes holds great potential for improving patient outcomes and work efficiency. However, the successful implementation of AI-empowered clinical decision support systems requires careful consideration of human-centered design principles and addressing the challenges identified in this study. By prioritizing user needs and experiences, healthcare professionals can harness the full benefits of AI technology in healthcare.

Reference url

Recent Posts

lenacapavir HIV PrEP access
    

Global Health Partnerships Unite to Expand Access to Lenacapavir for HIV Prevention

💉 How can we ensure equitable access to HIV prevention methods like lenacapavir?

A recent initiative from the Global Fund, supported by key global health organizations, aims to provide affordable access to this new HIV pre-exposure prophylaxis medication.

With a goal to reach 2 million individuals over three years, this coordinated effort seeks to drastically cut HIV infections and align with our commitment to ending AIDS by 2030.

Explore the details of this impactful collaboration and how it could transform HIV prevention.

#SyenzaNews #globalhealth #HealthcareInnovation #MarketAccess

antimicrobial resistance africa
     

Africa’s Health Crisis: Antimicrobial Resistance and Mpox Outbreak

🌍 Are we prepared to tackle the hidden pandemic of antimicrobial resistance (AMR) in Africa?

With AMR rapidly becoming a dominant health crisis, it’s critical to understand its impact on our healthcare systems and most vulnerable populations.

The Africa CDC highlights the urgent need for substantial investment and coordinated responses to combat this escalating threat, alongside the ongoing Mpox outbreak.

Discover the pressing challenges and potential solutions in our latest article.

#SyenzaNews #GlobalHealth #HealthcareInnovation #AntimicrobialResistance #PublicHealth

BioSapien cancer drug delivery
    

BioSapien Innovative Cancer Drug Delivery Solutions

🌟 How is innovation in drug delivery shaping the future of cancer treatment? 🌟

Discover how UAE-based BioSapien is transforming the healthcare landscape with the MediChip™ platform, securing $5.5 million in pre-Series A funding to enhance cancer care.

This innovative solution promises to minimise side effects and improve treatment outcomes for patients, fully embracing the potential of biotechnology in the fight against cancer.

Read more about BioSapien’s journey and its impact on global health!

#SyenzaNews #biotechnology #oncology #innovation #HealthTech

When you partner with Syenza, it’s like a Nuclear Fusion.

Our expertise are combined with yours, and we contribute clinical expertise and advanced degrees in health policy, health economics, systems analysis, public finance, business, and project management. You’ll also feel our high-impact global and local perspectives with cultural intelligence.

SPEAK WITH US

CORRESPONDENCE ADDRESS

1950 W. Corporate Way, Suite 95478
Anaheim, CA 92801, USA

© 2024 Syenza™. All rights reserved.