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Healthcare Technology Insights for Oct 1st — Oct 14th 2018

Healthcare Technology Insights for Oct 1st — Oct 14th 2018 | https://capitalspharmacy.co.uk/ | Scoop.it
This fortnight, in the spirit of the #NHITWeek ,as expected a lot of curations were based around the Uses of Automation and Artificial Intelligence in Healthcare.
 
Here are our top 5 insights by our experts on the stories from the past fortnight.

 

mHealth platforms are helping healthcare providers with Quick Access to Decision Support Resources

 

insight by Nrip Nihalani

 

Well how surprising! Collective human intelligence still works :)

 

As I been posting in my articles, speaking at my talks and offering my $0.02 in my insights, for all the talk of AI and Deep Learning, I feel technology’s best use in healthcare is in automation of processes and improving communication and collaboration between care teams. And such studies show that we have lots to gain by building better tools to help clinicians communicate and collaborate better. Someday , AI “may” replace human intelligence, but not today and not anytime soon.

 

Proposing a Transactional Model of eHealth Literacy: Concept Analysis

 

insight by Nrip Nihalani

 

eHealth literacy is the ability of internet users to locate, evaluate, and act upon web-based health information. The result of this study identifies that the role of “communication” in eHealth literacy remains underdeveloped.

 

Current frameworks and technologies do not account for physical and cognitive processing abilities necessary for multiway transactions.

 

A study of the Consumption(access by patients) patterns of a majority of patient education resources will be interesting. It may shed light on this underdevelopment being required or not.

 

more at https://medium.com/@plus91/healthcare-technology-insights-for-oct-1st-oct-14th-2018-8505bbd81fd9

 


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Google releases findings on how to spot fake reputation builders

Google releases findings on how to spot fake reputation builders | https://capitalspharmacy.co.uk/ | Scoop.it
Those who build fake social media followers, YouTube views, and backlinks can't hide for long.


Modern snake-oil salesmen who want to boast exaggerated popularity on social media or e-commerce websites will happily pay freelancers to inflate their reputation. Google, Twitter, and Facebook, however, make their money based on the reliability of their websites, and so Google has now released findings on how to automatically spot these purveyors of fake reputations, or “crowdturfers.”


“Automatically detecting crowdturfing gigs is an important task because it allows us to remove the gigs before buyers can purchase them, and eventually, it will allow us to prohibit sellers from posting these gigs. To detect crowdturfing gigs, we built machine-learned models using the manually labeled 1,550 gig dataset,” wrote a team of researchers in a recently presented paper, which was partly supported by a Google Faculty Research Award. A Google Research blog post yesterday highlighted the work.


Freelancing micro-task websites, such as Odesk, Fiverr, and Freelancer have built a cottage industry out of globally distributed part-time workers. I’ve used these sites for research help and email list building. Nonprofit Samasource uses similar systems to help impoverished women and youth find work.


These sites offer great services. But fake reputations make them less trustworthy.


Their machine-learning detection system has a pretty high rate of accuracy, based on the researchers’ own dataset. “Our experimental results show that these models can effectively detect crowdturfing gigs with an accuracy rate of 97.35 percent. Using these classification models, we identified 19,904 crowdturfing gigs in Fiverr, and we found that 70.7 percent were social media targeting gigs, 27.3 percent were search engine targeting gigs, and 2 percent were user traffic targeting gigs.”


Eventually, they hope their technology will help companies such as Twitter automatically ban bots and fake followers. You can read the full paper here.


more at http://venturebeat.com/2014/07/09/google-releases-findings-on-how-to-spot-millionaire-fake-reputation-builders/



In case you'd like help with Genuine Reputation Management on the World Wide Web, Contact us via @nrip on Twitter ,  https://www.facebook.com/plus91.in on Facebook or visit our website at http://www.plus91.in


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