By Trent Sanders, Vice President for U.S. Healthcare at Kyndryl

Generative AI is emerging as a beacon of innovation across the healthcare industry, promising to enhance patient care, streamline operations and drive efficiencies.

A subset of AI, generative AI uses algorithms to generate new information based on existing data. In healthcare, this technology has the potential to revolutionize various aspects of patient care, including creating personalized treatment plans. For example, generative AI can analyze vast amounts of a patient’s data, identify patterns and then generate tailored treatment recommendations that improve patient outcomes.

Generative AI can also play a crucial role in medical imaging. By generating synthetic information based on existing data, AI algorithms can enhance the accuracy of medical image analysis — “completing the digital picture” to aid in disease detection and diagnoses. Similarly, generative AI can supercharge the development of new drugs by modeling the effects of potential treatments.

 

 

Shifting the focus

Healthcare institutions are increasingly investing in ambient listening technology, which uses AI and voice recognition to listen to, analyze, and act on conversations between patients and providers. Leveraging AI capabilities at the point of care enables real-time charge capture and clinical documentation, allowing the clinician’s focus to remain on the patient and not their workstation.

Acting as a healthcare assistant, ambient listening tools have the power to transform the care experience and reduce the administrative burden on healthcare staff. The AI-powered tool can surface relevant information, document care and automate parts of the clinical workflow without disrupting the patient’s care.

 

92% of healthcare leaders say their IT infrastructure is best-in-class, yet only 36% think it is ready to manage future risks.

Source: Kyndryl AI Readiness Report | Industry Focus: Healthcare

 

Smoothing operations and managing staffing

Beyond clinical applications, generative AI has the potential to streamline administrative tasks, freeing healthcare professionals to do what they do best. Clinicians will be able to focus more on patient care as AI-powered systems automate paperwork and reduce errors in medical records.

Generative AI can optimize resource allocation within healthcare facilities by analyzing real-time data. Using historical and environmental data, such as peak care requirements from past flu seasons, AI systems will be able to predict patient surges to help ensure adequate staffing.

 

 

Protecting privacy

Data security and patient privacy are major concerns when deploying generative AI in healthcare. As patient data is highly sensitive, robust security measures and strict compliance with data protection regulations are essential.

However, there are challenges. Many healthcare systems suffer from technical debt and operate with a patchwork of siloed IT systems. Updating these systems to support AI and generative AI workloads will require significant investment and training. Before any modernization can occur, administrative and technical leaders must establish mutually beneficial priorities — including developing a culture of security across all operational areas.

Next, ensuring AI governance is transparent, ethical and explainable is crucial. Building trust through collaboration between healthcare providers and technology developers will help AI decisions adhere to established guidelines.

Generative AI is emerging as a beacon of innovation across the healthcare industry, promising to enhance patient care, streamline operations and drive efficiencies.

Trent Sanders

Vice President for U.S. Healthcare

 

Looking ahead

As generative AI continues to evolve, its potential in healthcare is boundless. The rapid development of AI technologies will reshape the industry in profound ways. Healthcare organizations will need to embrace this transformation to stay ahead of the game and capitalize on AI’s benefits for patient care and operational efficiency.

From predictive analytics and personalized medicine to enhancing patient-provider interactions and streamlining administrative tasks, generative AI is growing in importance for healthcare providers. The industry’s adoption of generative AI is filled with promises that could lead to improved processes, better customer interactions and innovation.

 

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Trent Sanders

Vice President for U.S. Healthcare

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