A critical makeover for pharmaceutical companies: Overcoming industry obstacles with a cross-functional strategy. PwC report. Going all "cross-functional" or "breaking down silos"?
"Compounding the external obstacles, however, is the internal culture of most pharma companies. This is an industry...
Source: pwc.com
Patient experience feedback in UK hospitals: What types are available and what are their potential roles in quality improvement (QI)?: The comparative uses of different types of patient experience (PE) feedback as data within quality improvement (QI) are poorly understood. This paper reviews what types...
Source: wiley.com
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems: Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for...
Source: nature.com
Better wisdom from crowds: MIT scholars produce new method of harvesting correct answers from groups. “A new technique [described in 2017] can better extract correct answers from large groups of people. For a given question, people are asked two things: What they think the right answer is, and what...
Source: mit.edu
Clinic room designs must fit care models | Canadian Healthcare Network "Innovative clinic room design can (and should) advance the practice of collaborative thinking and decision-making in medicine by abolishing the "doctor behind the desk" phenomenon. The round table makes an appearance in rare instances...
Source: canadianhealthcarenetwork.ca
How To Kill Ideas: We were asked last week by the Disruptive Innovators Network, 'How long should you spend on an idea?' "In the early days of Bromford Lab we had a 12 WEEKS MAX rule. If we couldn’t get an idea up and running within that time – it should be killed. We soon realised the error of our...
Source: paulitaylor.com
Change in clinical practice is slow even when it is obvious change should occur. Changing to a generic drug took 8 months and it was 18 months for adopting a guideline on UTI. "Substantial variation was observed in the speed with which individual NHS general practices responded to warranted changes...
Source: bmj.com
College students who go off Facebook for a week consume less news and report being less depressed: When users stop getting news from Facebook, they don't necessarily start getting it somewhere else.
Source: niemanlab.org
Benefits and harms of exercise programmes for people with ankylosing spondylitis. Cochrane review. "We found moderate- to low-quality evidence that exercise programmes probably slightly improve function, may reduce pain, and probably slightly reduce global patient assessment of disease activity, when...
Source: cochrane.org
Lift Weight, Not Too Much, Most of the Days. “Greasing the groove, as Tsatsouline explains it, means not working your muscles to the point of failure. A common idea in weightlifting is that you should lift until you can’t do another rep, purposely damaging muscle tissues so they grow back bigger....
Source: theatlantic.com
So What's the DEAL?: An Interview with Springer Nature's Dagmar Laging: An interview with Springer Nature's Dagmar Laging about the emerging transformative open access agreement with Germany's Projekt DEAL.
Source: sspnet.org
A Gentle Introduction to Joint, Marginal, and Conditional Probability: Probability quantifies the uncertainty of the outcomes of a random variable. It is relatively easy to understand and compute the probability for a single variable. Nevertheless, in machine learning, we often have many random variables...
Source: machinelearningmastery.com
Could deep learning AI be used to screen TIA clinic referral letters? Possibly. Stroke prevention clinics (TIA or Transient Ischaemic Attack) clinics are an important aspect of urgent care. A TIA is a risk factor for future stroke. Medical treatment needs to be started quickly and surgical options, if...
Source: agnate.co.uk
Four Key Barriers to the Widespread Adoption of AI: There is a lot of buzz about the promise of artificial intelligence (AI) and machine learning—from self-driving cars to predicting heart attacks, AI is spreading like wildfire across industries, triggering a massive investment in talent as businesses...
Source: mit.edu
Five management strategies for getting the most from artificial intelligence (AI). "To find out more about what contributes to successful AI adoption, we helped lead a survey by the McKinsey Global Institute of 3,000 C-level executives across 10 countries and 14 sectors. From that research, we identified...
Source: mit.edu
AI Evidence Mapping. Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence. “Here, we describe a fully automated evidence synthesis system for intervention studies, one that identifies all the relevant evidence, assesses the evidence for reliability...
Source: bmj.com
Cloud computing services transform our economies while economic measurement struggles to keep up with the new technology. Gone are the days when servers used to live in the office basement since now more technology is moving to 'the cloud'. "As the inexorable rise of cloud computing services continues...
Source: escoe.ac.uk
Are there automation-resistant intelligences? The question we all want to ask is 'will my job be taken over by a robot?' "Our model predicts that most workers in transportation and logistics occupations, together with the bulk of office and administrative support workers, and labour in production occupations,...
Source: ox.ac.uk
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology. Advances in machine learning (ML) have shown great promise for assisting in the work of healthcare professionals, such as aiding the detection of diabetic eye disease and metastatic breast cancer. Though high-performing algorithms...
Source: googleblog.com
Robust Neural Machine Translation: In recent years, neural machine translation (NMT) using Transformer models has experienced tremendous success. Based on deep neural networks, NMT models are usually trained end-to-end on very large parallel corpora (input/output text pairs) in an entirely data-driven...
Source: googleblog.com