PrecisePK announced that they will collaborate with Wolters Kluwer, a global provider of trusted clinical technology and evidence-based solutions, to offer an integrated Bayesian dosing solution through Sentri7 Pharmacy in early 2023. With PrecisePK's model-informed precision dosing (MIPD) software, Sentri7 Pharmacy will deliver a comprehensive drug package that supports vancomycin and 20 other medications. "Our PrecisePK relationship will enable our users to leverage data and information to make better medication dosing decisions, improve patient safety, and drive better clinical outcomes," said Karen Kobelski, Vice President & General Manager, Clinical Surveillance Compliance & Data Solutions, Wolters Kluwer, Health. "Hospitals are short-staffed and clinicians are busier than ever, so we're always looking for ways to simplify clinician workloads and facilitate patient management. This relationship allows us to deliver a solution to help achieve these goals."

Wolters Kluwer Legal & Regulatory announced it has acquired Della AI Ltd., a provider of leading artificial intelligence (AI) technology based on advanced natural language processing (NLP). This technology allows legal professionals to review contracts in multiple languages by simply asking questions. Della AI will become part of the Legal Software unit of Wolters Kluwer Legal & Regulatory, which offers market-leading LegalTech solutions such as Legisway, all-in-one software for corporate legal departments, and Kleos, cloud-based legal practice management software for law firms. Giulietta Lemmi, CEO of Wolters Kluwer Legal & Regulatory Legal Software, commented: "By integrating the expertise and know-how of Della AI into Wolters Kluwer Legal & Regulatory, we are further enhancing the value we deliver to our customers, by investing in the continuous development of this key technology and the people behind it. Today, our customers already acknowledge the value of Legisway in all their legal activities. Together with Della AI, we will further enhance our customers' experience and secure a leading position for Wolters Kluwer in the corporate legal market."

Wolters Kluwer was well received at the IEEE conference, International Conference on Healthcare Informatics (ICHI), in NYC on June 4, 2018. ICHI is a leading conference in Healthcare Informatics space bringing together academia and industry research using Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). Among the main highlights, I was the invited speaker to present the cutting-edge research by Wolters Kluwer Health and Global Platform Organization (GPO) on discovering and providing actionable information to clinicians from the data explosion coming from EMR, Payer, Drugs safety and efficacy, Wolters Kluwer applications, among others. Our vision uses AI to augment doctors, nurses, and others to navigate intelligently through the growing volume, velocity, and variety of the healthcare information they encounter daily. It was a great opportunity to speak at the IEEE platform and represent Wolters Kluwer.

On balance, there will be some jobs lost to artificial intelligence, and you can also expect AI to create other jobs. But at the global information services company Wolters Kluwer, AI is being infused into expert systems in a bid to augment lawyers, accountants, and other professionals with superior decision-making abilities. Dutch firm that provides knowledge management software and services to companies in the financial services, healthcare, tax and accounting, and legal arenas. The 180-year-old company originally encapsulated its knowledge and recommendations for specific professional domains in books, but today it has largely made the transition to digital technologies. Thousands of companies around the world rely on Wolters Kluwer's practice management software to automate core aspects of their businesses. That includes doctor's offices that use its software make healthcare decisions in a clinical setting, corporate law offices that use its software to understand M&A activities, and accounting firms that use its software to craft tax strategies for high net-worth clients.

Gartner's Hype Cycle tracks emerging information technologies in their journey towards mainstream adoption. It is designed to help companies tell hype from viable business opportunity, and give an idea when that value may be realized. This year, artificial intelligence is one of the year's three megatrends in the 2017 Hype Cycle. Gartner is calling this class of AI technologies "AI Everywhere". Unsurprisingly, many of the technologies are already at the "Peak of Inflated Expectations". Machine learning and deep learning are at peak hype, and predicted to be 2-5 years away from mainstream adoption. Cognitive computing is also at peak hype, but up to 10 years away, while artificial general intelligence (AI with the'intelligence' of an average human being) is 10 years away and in early innovation phase. Commenting on the Cycle, Gartner research director Mike J. Walker predicts that AI technologies will be the most disruptive class of technologies in driving digital business forwards during the next 10 years.

Most people have heard of the headline-making achievements in artificial intelligence (AI); systems winning quiz shows and beating world champions in chess. These are the poster children of the discipline but there is a quieter revolution taking in shape in other areas, including regulatory compliance in financial services. Writing for Banking Technology, Mike MacDonagh, London-based director of enterprise risk management at Wolters Kluwer, examines how AI technologies are promising to transform the way that firms ensure they can comply with a global explosion of new regulation. The problem with regulation Looked at in isolation, a piece of regulation is a relatively simple affair – a legal document containing text that describes what needs to be done, by whom, when, and (sometimes) how. With some understanding of the underlying topic, a compliance officer can read the document; understand what is mandated and where it will affect his or her part of the organisation.

April 29, 2016 - With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning--a subfield of artificial intelligence--to improve medical care and patient outcomes. An overview of machine learning and some of the ways it could contribute to advancements in plastic surgery are presented in a special topic article in the May issue of Plastic and Reconstructive Surgery, the official medical journal of the American Society of Plastic Surgeons (ASPS). "Machine learning has the potential to become a powerful tool in plastic surgery, allowing surgeons to harness complex clinical data to help guide key clinical decision-making," write Dr. Jonathan Kanevsky of McGill University, Montreal, and colleagues. They highlight some key areas in which machine learning and "Big Data" could contribute to progress in plastic and reconstructive surgery. Machine learning analyzes historical data to develop algorithms capable of knowledge acquisition.