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Analytics

By Bill Siwicki | 08:06 am | March 31, 2017
The greatest challenge to implementing healthcare analytics? A lack of leadership, finds the Healthcare Center of Excellence, which offers advice on how organizations can progress.
By Bill Siwicki | 08:38 am | March 30, 2017
Both supervised and unsupervised machine learning can help executives better enhance care delivery, Stanford algorithms expert says.
By Bernie Monegain | 08:01 am | March 30, 2017
IBM Watson Health will adopt SNOMED CT for use in Watson Health work, SNOMED International and IBM Watson announced today.
By Eric Bailey | 10:02 am | March 29, 2017
(SPONSORED) This panel discussion explores navigating value-based care and different strategies, solutions and opportunities in that space. Co-hosted by This Just In's Justin's Barnes and Tom Sullivan of Healthcare IT News.
By Bill Siwicki | 05:07 pm | March 28, 2017
As the amount of available health data explodes, executives must learn how to dig through it to get to the key performance indicators, the dean of UC Berkeley School Of Public Health says.
By Susan Morse | 02:21 pm | March 28, 2017
The news comes less than three weeks after the consultant and IT vendor fended off a takeover by Elliott Management Corp.
By Mike Miliard | 01:45 pm | March 28, 2017
The new Leading Wisely tool combines data analytics from IT systems enterprise-wide to help hospital leaders develop more informed strategies.
By Bernie Monegain | 03:34 pm | March 27, 2017
New research from Accenture concludes technology can help women advance at work and help close the gender pay gap. The report “Getting to Equal 2017” identifies several critical factors  that affect a women’s ability to achieve equal pay as early as university. For example, young women lag in adopting new technologies quickly – 45 percent vs. 63 percent, compared with young men. There are gaps too in taking coding and computing courses – 68 percent vs. 83 percent. The findings are based on insights and analysis from more than 28,000 women and men in 29 countries. The report offers what researchers call three powerful equalizers that could reduce the pay gap by 35 percent worldwide and add $3.9 trillion to women’s income by 2030. They are: Digital Fluency: The extent to which people use digital technologies to connect, learn, work – helping to get more women into paid work. Career Strategy: The need for women to aim high, make informed choices and manage their careers proactively. Tech Immersion: The opportunity to acquire greater tech and stronger digital skills – dramatically increasing women’s earning potential and opportunity for senior roles. Applying these career accelerators, combined with support from business, government and academia, could reduce the pay gap by 35 percent by 2030, boosting women’s income $3.9 trillion, according to Accenture The report also dives into the differences between men and women undergrads to examine how decisions made in college can impact women’s earnings later on –  factors that put women on the fast-track toward manager.  “The future workforce must be an equal workforce,” said Julie Sweet, Accenture’s chief executive officer – North America, in a statement. “The gender pay gap is an economic and competitive imperative that matters to everyone, and we must all take action to create significant opportunities for women and close the gap more quickly. “Gender equality is an essential element of an inclusive workplace, and this extends to pay.” Accenture Chairman and CEO Pierre Nanterme, added. “Business, government and academia all have an important role to play in closing the gap. Collaboration among these organizations is key to providing the right opportunities, environments and role models to lead the way for change.”
By Mike Miliard | 12:09 pm | March 27, 2017
The multi-year research agreement will see the pharmaceutical company putting Cota's analytics platform to work for improved breast cancer treatment outcomes.
By John Andrews | 11:32 am | March 27, 2017
Artificial intelligence and machine learning are fast accelerating the insights that can be gleaned from the granular descriptions enabled by ICD-10.