Introduction
In the healthcare sector, there is a common perception that new technology adoption is slow and challenging. However, when solutions are purposefully designed to fit user workflows and integrate seamlessly with the Electronic Health Record (EHR) clinicians use everyday, technology can be adopted more rapidly.
The recent webinar, “Beyond Ambient Documentation: What’s Next for Generative AI,” brought together industry experts, including Dr. Bobby Dupre, CMIO at Franciscan Missionaries of Our Lady Health System, Katie Prevas, Director of Growth and Innovation at MedStar, and Belwadi Srikanth, VP of Product and Technology at Suki, to discuss the impact of AI on healthcare.
The webinar covered the latest advancements in AI, discussing how technology will shift towards handling more complex administrative tasks and offering more conversational interactions similar to human assistants. Future advancements will streamline workflows through personalized, adaptable AI tools, ultimately reducing administrative burden across all healthcare settings.
Key Takeaways
- AI assistants are evolving to handle a broader range of tasks beyond basic documentation. As these assistants become more integrated into clinicians’ workflows, they will eventually manage all administrative tasks, reducing the burden for clinicians.
- AI tools will be tailored to adapt to individual clinician styles and preferences, making them more effective and user-friendly.
- As more clinicians adapt AI assistants into their clinical workflows, the benefits can span from reduced clinician burnout to, to enhanced patient experience and communication to potentially increased access to care.
The Future of Healthcare with AI
Enhanced interactions with AI Assistants – Today, AI assistants support skills like documentation, commands, Q&A, and dictation. In the future, we envision clinicians being able to delegate administrative tasks and receive information in a conversational way. This shift aims to make interactions with AI as intuitive and seamless as working with a human assistant.
Expanded Functional Capabilities: AI development will include new skills beyond documentation. This will encompass ordering labs, medications, and imaging, as well as offering capabilities like performing medical calculations and offering patient summaries. These capabilities will reduce clinician cognitive burden and enhance the efficiency of clinical workflows.
Personalization and Adaptability: AI tools will be designed to adapt to individual clinician styles and preferences. Whether a clinician chooses a narrative style or bullet points, or wants a more concise section instead of capturing every visit detail, the option to personalize notes will make the technology more effective and user-friendly.
Addressing Administrative Burdens: Efforts will also be directed at managing administrative tasks such as inbox management. By reducing the volume of administrative work, AI tools will help alleviate the strain on clinicians, allowing them to focus more on patient care.
Expanding to New Settings: The scope of AI tools will extend to different healthcare constituents, including nurses, which presents its own unique challenges. The aim is to create solutions that address specific needs in various healthcare environments, further enhancing overall efficiency and care quality.
Benefits of AI Assistants
Enhanced Workflows & Time Savings – AI Assistants have significantly streamlined workflows for clinicians. Clinicians have reported a reduction of at least one hour per day in time spent on documentation and administrative tasks, extending to various specialties, including urgent care and sports medicine.
Reducing Clinician Burnout – The technology has reduced the time clinicians spent on notes and work outside of scheduled hours by 70+%. This allows clinicians to regain personal time and reduce stress. The improvement in efficiency has also fostered a greater sense of value among clinicians, contributing to better overall well-being.
Enhanced Patient Experience and Communication – Patients have experienced more focused and engaging consultations. This has led to higher patient satisfaction and engagement, especially in long-term care relationships where patients notice increased attentiveness.
Suki: Revolutionizing Healthcare with AI
At Suki, our vision is to create healthcare technology that is invisible and assistive, enabling clinicians to focus on patient care. Increasing administrative burdens have diminished the joy of practicing medicine, and Suki aims to alleviate these through advanced AI.
Suki is the only AI assistant that can ambiently generate notes, recommend codes, and answer questions, and is available across all platforms. Used nationwide in health systems, hospitals, and clinics, Suki helps clinicians save time on tedious administrative tasks. Suki understands dozens of languages and integrates deeply with all major EHRs, ensuring seamless use without the need for copy-pasting.
Our technology restores the joy of practicing medicine by reducing administrative burdens and enhancing efficiency for clinicians, leading to improved work-life balance, reduced stress, and better patient care. Clinicians have reported significant improvements in performance scores and patient engagement, reflecting the positive impact of integrating Suki into their workflows.
Conclusion
As AI continues to transform the future of healthcare, we expect to see enhanced workflows across a broader range of tasks and functions. AI development will also expand to include new skills beyond documentation, and personalization will be key, with AI tools adapting to individual clinician styles and preferences. Efforts directed towards managing administrative tasks and reducing the volume of administrative work will allow clinicians to focus more on patient care. By addressing these key issues, AI will play a crucial role in transforming healthcare, improving clinician-patient experiences, and ultimately leading to better patient outcomes.
Access to the full recording: https://go.suki.ai/beckers-webinar-beyond-clinical-documentation
To learn more about Suki, visit suki.ai.