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AI-based language platform Writefull joins Digital Science portfolio
- 01 May 2019

Digital Science, a technology company serving stakeholders across the research ecosystem, has announced that the Artificial Intelligence (AI) based language platform, Writefull, has joined the Digital Science family of companies.

Writefull helps authors improve the clarity of their work. It suggests improvements to grammar and spelling, and to academic language usage, such as sentence structures in scientific writing, discipline-specific vocabulary, and appropriate word choice. These suggestions are based on real-world, context-specific usage rather than on a fixed set of grammatical rules.

Winner of a 2016 Digital Science Catalyst Grant, Writefull has been supported in their development from an early stage idea to a high-growth potential company, and is the first significant investment in AI by Digital Science. Writefull's Deep Learning models have learned from billions of sentences taken from the scientific literature, making it very different from the standard rules-based grammar applications.

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LM Information Delivery launches new, comprehensive usage analytics tool - LibMetrix
- 30 Apr 2019

LM Information Delivery (LM), an international provider of subscription and information management services, has announced the launch of LibMetrix, a brand new, comprehensive usage analytics tool for libraries and other information centres. LibMetrix empowers librarians' collection decisions by providing deep insight into how their content is being utilised by patrons.

With its interactive dashboard, LibMetrix instantly provides users with a full overview of their collection, on one screen. Within a few clicks, it is possible to delve deep into various aspects of the library collection and generate colourful, easy-to-read, customisable visualisations and reports which can be easily shared with team members.

A broad range of metrics and filters offer the possibility to drill down into the library collection at a granular level. Users can filter results based on usage data, custom time periods - for year on year or month by month comparison, cost-per-use, usage by department, subject or cost centre, denials, subscribed, non-subscribed titles and more.

One of the key features of LibMetrix is the cost-per-use filter which allows librarians to filter data in order to accurately evaluate expenditure and determine how to develop collections to maximise their library budgets.

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HighWire's Rejected Article Tracker granted US patent
- 25 Apr 2019

Scholarly publishing technology provider, HighWire, has been issued a patent for the algorithm and design which underlies the HighWire Vizor Rejected Article Tracker.

Granted on April 9, 2019 by the United States Patent Office, the algorithm was developed by John Sack as lead inventor, working with a number of co-inventor colleagues, to identify articles which a publisher has rejected and to track the performance of these rejected articles in the publishing marketplace. The issuance of this patented technology reinforces the value that HighWire brings to the full publishing lifecycle and the unparalleled insight on offer to publishers.

The Rejected Article Tracker is one component of HighWire's Impact Vizor suite of tools that allows publishers to quantitatively assess the performance of their publishing program and the editorial decisions which support the program. By identifying previously rejected articles and comparing the impact and performance of those rejected articles to articles which were accepted, the Rejected Article Tracker allows journal publishers to assess their publishing criteria and to arrive at quantitative insights that will guide future decisions.

The patent number for the Rejected Article Tracker is US patent number 10,255,359.

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Wolters Kluwer accelerates healthcare data mapping with AI to bridge data silos
- 24 Apr 2019

As the healthcare industry undergoes rampant merger and acquisition (M&A) activity, health systems are faced with the challenge of rapidly integrating data silos across hospitals to ensure continued quality of care and avoid revenue disruptions. In Health, Wolters Kluwer is now harnessing AI to bridge data in electronic health records (EHRs) and disparate systems, such as lab results, to improve how organisations identify and report hospitals acquired infections.

Wolters Kluwer's data science team worked with Health Language® to use AI and machine learning to enhance the process of mapping lab results to fully standardised LOINC codes (Logical Observation Identifiers Names and Codes), a common challenge among hospitals and payers post-mergers or when aggregating data from disparate EHRs or systems. Manually mapping lab results to LOINC is error-prone and can take months to complete. AI reduced the process considerably and enabled Wolters Kluwer's Sentri7® customers to accurately and quickly comply with reporting HAIs to the Centers for Disease Control and Prevention and to state health departments.

Beyond increasing the speed and accuracy of how healthcare organisations report HAIs, Wolters Kluwer is also applying AI to several other areas supporting patient engagement and clinical effectiveness.

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QxMD announces availability of International IgA Nephropathy Prediction Tool
- 16 Apr 2019

QxMD Software Inc., a digital learning technology company that makes it easier for healthcare professionals (HCPs) to discover&apply the latest evidence for use in clinical practice, has announced the availability of its newest point-of-care clinical tool 'International IgA Nephropathy Prediction Tool' for Calculate by QxMD mobile and web app users. Coinciding with the JAMA Internal Medicine e-publication of the paper 'Evaluating a New International Risk-Prediction Tool in IgA Nephropathy' by Sean J. Barbour, Rosanna Coppo, Hong Zhang, and others, the Internal IgAN Prediction Tool becomes the fourth Calculate by QxMD tool to simultaneously publish with a peer-reviewed paper or presentation since October 2018. The tool was also timed to go live at the moment Barbour presented at the 2019 ISN World Congress of Nephrology in Melbourne.

The IgA Nephropathy Prediction Tool accurately predicts the long-term risk of worsening kidney function at the time of kidney biopsy diagnosis of IgA nephropathy - measured as a 50 percent reduction in kidney function (eGFR) or the development of end-stage kidney disease. Developed by members of the International IgAN Network who analysed data from a large number of adults with IgA nephropathy from around the world, the IgAN Prediction Tool is most reliable in predicting the risk of kidney function decline up to 5 years after kidney biopsy.

Calculate by QxMD is one of many free medical apps (Read by QxMD, Learn by QxMD) that comprise the QxMD Pathways platform. Together, these apps provide millions of users with fast access to full-text research, continuing medical education (CME), and up-to-date tools that drive disease recognition and therapy optimisation. Powered by a sophisticated personalisation engine, the platform aggregates PubMed feeds, journal table of contents (TOCs), more than 450 diagnostic tools, micro-learning CME courses and more.

QxMD has a consistent history of publishing tools on Calculate by QxMD simultaneously at the time of publication in a peer-reviewed paper or at a conference presentation. The three most recent tools, VQI Same-Day Discharge, CLL Ball Score and ROKS 2018, were quickly used by thousands of global clinicians shortly after publication. In addition to the Calculate by QxMD publication tactic, QxMD also offers authors, publishers, and professionals in publications and medical communications the ability to transparently sponsor and disseminate research on the QxMD platform for greater publication reach and share-of-voice.

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