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Home Technology AI and Machine Learning

Generative AI's impact on clinicians

Shannon Germain Farraher by Shannon Germain Farraher
August 20, 2024
Photo by Tima Miroshnichenko: https://www.pexels.com/photo/photo-of-woman-writing-on-a-desk-5407206/

Photo by Tima Miroshnichenko: https://www.pexels.com/photo/photo-of-woman-writing-on-a-desk-5407206/

Healthcare provider organisations (HPOs) have come down from the generative AI (GenAI) high. They are now embarking on a journey for the long haul and are intent on laying the groundwork. Forrester research reveals that 46% of US healthcare organisations are in initial production implementation of GenAI (with departmental-scale use cases), scaling up to enterprise-level deployment. But it will take time, trial and error, training, and talent to make meaningful strides that positively impact the clinical workforce.

Previously, we’d seen GenAI used in ambient solutions. Now we see an emerging area beginning to show promise for clinicians: clinical operation tools. They perform tasks using a myriad of input combinations to answer questions or summarise documents. We will see massive adoption of operation tools among clinicians. Technologies such as Avanade’s Copilot, LeanTaas’ iQueue, and Credo Health offer time savings, increased clinician engagement, and creative approaches to solving everyday problems.

But before diving in, decision-makers at HPOs need to consider the following:

  • Identify isolated AI use cases before they occur. GenAI applications are an opportunity to provide various flexible outputs, and HPOs will fail to benefit from AI solutions that produce only one output when addressing an issue. These narrow solutions continue to permeate the clinical experience and will create inconsistent patient experiences across the care continuum. To reverse this trend, HPOs will have to take a more thoughtful approach to current and future use cases for GenAI, as wella s how and when the technology can help create better insights.
  • Invest in clinical and administrative workforce technology. Workforce engagement, productivity, and efficiency are your organisation’s lifeline. Don’t just provide tools that can help clinicians excel in their work. Carve out space to train your workforce on how to use GenAI applications for “make it or break it” tasks. Your clinicians need to know how to prompt an AI engine specifically and contextually. Otherwise, they (and their patients) will fall victim to garbage in, garbage out.
  • Emphasise strategy, not ROI. When evaluating the impact of AI and GenAI, HPO leaders should shift focus from short-term ROI to more strategic results. Identifying ways for both the clinician and patient to benefit from the technology is key. Focusing solely on traditional ROI measures will fail to acknowledge indirect outputs that GenAI yields, including operational efficiencies, employee well-being, and other cultural shifts that healthcare desperately needs.

No matter where you are on your journey to improve the clinician experience with AI, we are here to help. If you are a healthcare leader who addresses clinical workforce technology or clinician well-being, we would love to speak with you about your experience. Forrester clients have the option to request an inquiry or guidance session. If you are not a Forrester client, you can reach out to the Forrester account team to explore how you can benefit from Forrester Decisions and harness its power.

Related:  Gartner: Three GenAI misconceptions impacting supply chain talent
Tags: ForresterGenerative AIhealthcare
Shannon Germain Farraher

Shannon Germain Farraher

Shannon Germain is a senior analyst supporting the healthcare vertical at Forrester. Her research helps healthcare organizations improve workforce efficiency and leverage digital technologies to optimize clinical workflows and patient outcomes. Her research agenda focuses primarily on the new care continuum with a particular emphasis on clinician experiences and the future of work in the provider space. A licensed registered nurse, she also spearheads Forrester’s clinician burnout, hospital-at-home, clinical decision support, and virtual care research. Previous Work Experience Farraher possesses 13 years of nursing experience across the medical, legal, consulting, and technology sectors, including seven years of expertise driving excellence in utilization management through innovation and design. She maintains her clinical expertise as a practicing per diem nurse at Massachusetts General Hospital providing acute care to cardiac surgical stepdown patients. She has a deep understanding of the administrative burden on clinicians, clinician shortages, and their negative impacts on patient care, talent retention, and clinical outcomes. She is dedicated to advising health care organizations on improving the quadruple aim, particularly the clinician and patient experience. Prior to Forrester, Farraher was a content product architect at Change Healthcare, where she designed new workflows and updated existing subsets for an evidence-based clinical decision support solution for payers, providers, and government agencies that ensured clinically appropriate utilization of resources. Prior to that, she worked as a clinical content developer, where she created medical criteria for InterQual, a clinical decision support tool, and served as a national subject matter expert in best practice standards and evidence-based medicine. Education Farraher holds a BS in nursing from Fairfield University’s School of Nursing and an MBA from Northeastern University’s D’Amore-McKim School of Business with a concentration in healthcare management.

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