Last week, I attended the HL7 working group meeting in Paris. For those who weren’t able to make the trip, below are some highlights of the meeting with respect to clinical decision support (CDS) and related standards. Read further >
I’ve posted about the integration of social media as citing references into citation indexes, such as the CCH Citator, GlobalCite®, KeyCite and Shepard’s® Citation Service, used by lawyers and other legal professionals to determine whether a primary source of law remains valid for an argument as well as to find more relevant documents discussing that argument. In this post, I want to cover other dimensions of social media: collaboration, intelligent filtering and citator crowd wisdom. Read further >
I recently attended a great webinar describing the most common pitfalls organizations may encounter when implementing agile methodologies and providing useful recommendations on how to tackle such pitfalls. The webinar was organized and presented by two technology leaders in Wolters Kluwer: Read further >
We’re a big company. Once a small bookshop and another publishing house, somewhere in the north of Netherlands, we are now a global company in over 140 countries (our Wikipedia page has the full narrative). Read further >
In my previous post, I discussed how a pilot study using our company’s clinical decision support (CDS) technology, POC Advisor™, was able to reduce a hospital’s sepsis-related mortality by 53 percent. One deciding factor in selecting the study location—Huntsville Hospital—was the 941-bed facility’s dedication to improving its performance. Over a six-month period, 9.5 percent of Huntsville’s patients with sepsis infection-related diagnoses died, compared to the national average of 8.5 percent. When the “Surviving Sepsis” campaign definition was applied, mortality rates increased to 38.5 percent for Huntsville and 19.4 for the national average during the same period. Read further >
Lately I have been reading about developments in the gaming industry, especially on virtual reality (VR). There are tremendous changes coming up with the introduction of Oculus Rift, Gear VR, etc. Currently these devices are mostly directed to social networking and playing games or a combination of the two. But there is a major shift going on from “social” to “professional”. Read further >
There’s no doubt that there is business in Big Data… as well as a lot of nonsense around it as well – with growing tendency! So the question is how to figure out the relevant aspects. BDVA is trying to address that on a pan-European level – and Wolters Kluwer is a part of that journey!
What do we mean by Machine Learning anyway? To the layperson it probably means machines than can learn, ascertain, understand, discern or infer. To my millennia, it means the movie iRobot and the fantasy of machines taking over the world. Here is my practical view on this topic.
There is a lot of friction that companies doing business in multiple countries must hire attorneys to reduce and manage data, especially since each country has its own privacy laws for retention and management of customer and employee data. Rules for advertising, marketing, selling (and collecting taxes on those sales), developing, and enhancing products can differ by country. Labor laws and policies vary by country. Don’t forget, of course, the impact of bilateral and multilateral investment treaties. Large corporations have the resources to hire expert in-house corporate legal departments and pay for services by outside counsel to manage these transaction costs. But what about smaller corporations? After all, 95% of businesses are small businesses. Many of them only have one attorney in their corporate legal departments or have none at all. Yet, like big businesses, they must import and export and manage global supply chains. So how can these smaller businesses manage the transaction costs and reduce the friction of international business? Read further >
When an ambulatory medical practice implements an electronic health record (EHR), what do you think happens to (a) practice productivity (measured by the number of patients seen per provider) and (b) practice revenue? Read further >