In the dynamic field of generative artificial intelligence, prominent players like IBM and Wolters Kluwer have unveiled cutting-edge offerings. IBM reassures clients by extending legal protection against intellectual property claims for their AI models and emphasizes transparency through dataset publication. Wolters Kluwer introduces AI Labs within their clinical decision support system, empowering healthcare professionals with enhanced decision-making capabilities. Chilmark Research’s new ebook, “Building Responsible AI in Healthcare,” addresses ethical AI deployment and regulatory considerations. These developments underscore the industry’s commitment to responsible AI adoption, ushering in a new era of AI-driven advancements in healthcare and beyond.
In the rapidly evolving landscape of generative artificial intelligence, major players like IBM and Wolters Kluwer are rolling out innovative products and services. Additionally, Chilmark Research, a healthcare IT industry research organization, has released an insightful ebook focusing on responsible AI deployment.
IBM’s WatsonX Legal Protections
IBM aims to address client concerns regarding generative AI usage by offering legal protection. They’ve announced their commitment to indemnify clients against intellectual property claims associated with IBM-developed watsonx models. IBM’s existing contractual intellectual property safeguards, applicable to their specialized Granite models for language and code generation, will extend to these watsonx models. This protection allows clients to develop AI applications using their proprietary data while benefiting from IBM’s foundation models. Moreover, IBM is committed to publishing its training datasets, derived from various business-relevant sources, including the internet, academia, code, legal, and finance. Dinesh Nirmal, IBM Software’s Senior Vice President of Products, emphasized the importance of responsible AI use and scalability for businesses.
IBM also announced a partnership with telemedicine company Ovum Health, enabling them to expand their web and mobile app-based chat and scheduling solutions for pregnancy, prenatal, and postnatal healthcare. Ovum Health successfully integrated the watsonx Assistant into their platform within two months, offering advanced AI-driven assistance.
Wolters Kluwer Unveils AI Labs
Wolters Kluwer, based in Waltham, Massachusetts, introduced AI Labs, an integration within their clinical decision support system, UpToDate. UpToDate is utilized by over two million users across 44,000 healthcare organizations in 190 countries. This integration harnesses generative AI to empower clinicians with better decision-making capabilities, benefiting both patients and medical professionals. Dr. Peter Bonis, Chief Medical Officer, highlighted their longstanding use of AI to synthesize medical literature and physician experience into 12,400 clinical topics. Wolters Kluwer has also developed a machine learning model to facilitate data aggregation from disparate electronic health records after mergers, streamlining processes related to lab results and LOINC codes.
Julio Ramirez, Chief Scientific Officer at Norton Infectious Diseases Institute, commended Wolters Kluwer’s responsible approach to AI application in healthcare.
Chilmark Research’s Industry Guide for AI Adoption
Chilmark Research has released its inaugural ebook titled “Building Responsible AI in Healthcare: A Journey into Automation, Ethics, and Trust.” This publication, by the healthcare IT research and advisory firm, delves into the critical aspects of fostering trust in AI technologies and ensuring their positive impact on patients, providers, and organizations. The ebook consolidates public and premium articles and reports from the last three years, covering topics such as the evolving regulatory landscape, emerging best practices for AI development and implementation, and addressing bias in AI to fulfill health equity mandates.
John Moore, Managing Partner at Chilmark, emphasized the importance of understanding the limitations of AI tools, especially with broader adoption in clinical decision support. Dr. Jody Ranck, the senior analyst at Chilmark, stressed the need for organizations to develop expertise in fairness, equity, and machine learning design to maintain trust among users and patients. Ranck’s research also focuses on AI bias mitigation and the development of trustworthy machine-learning tools for healthcare.
