predictive analytics

See the following -

Amida Technology Solutions Announces “DRE 2.0”

Press Release | Amida Technology Solutions | December 1, 2015

Amida Technology Solutions, a Washington, DC-based open source software development company, announced today the seventh release of its Data Reconciliation Engine, “DRE 2.0.” The DRE is an open source platform that collects personal health data from a variety of sources, irrespective of format, and transforms it into an easy-to-use model. The DRE enables business intelligence, predictive analytics, decision support, and care coordination for patients, providers, and insurers...This update puts Amida at the vanguard of the latest standards-based, patient-centered health data interoperability.

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Artificial intelligence in medicine: Is the genie out of the bottle?

It is probably a given that artificial intelligence (AI) will become an integral part of healthcare delivery and of our public health infrastructure. What is not a given is that we will easily reach that point, and maintain progress in a way that maximizes its effectiveness in achieving the goals we have come to expect of it – efficient and improved healthcare and public health systems. In other words, making the health of people better in a cost-effective way. Responsible commentators have already begun to question the value of AI in medicine.

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Big Data Reaches The Hill: A Guide To Making It More Actionable

Brand Niemann | AOL Government | October 10, 2012

Big data, which has been the hot topic for conferences this year, has also received a good deal of attention on Capitol Hill in recent weeks, most notably with two recent events... Read More »

Christine Doig on Data Science as a Team Discipline

Srini Penchikala | Info Q | August 26, 2016

Data science is about the design and development of solutions to extract insights from data (structured and unstructured) using machine learning and predictive analytics techniques and tools. Data Science as a discipline and Data Scientist as a role have been getting lots of attention in the recent years to solve real world problems with solutions ranging from fraud detection to recommendation engines. Christine Doig, Senior Data Scientist at Continuum Analytics, spoke at this year’s OSCON Conference about data science as a team discipline and how to navigate the data science Python ecosystem.

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Get Smart, Integrate Artificial Intelligence into Your Business, Sooner

We've moved from the Computer Information Age to the "Digital Data Artificial Intelligence Age." It's the 4th Industrial Revolution. Just as computers transformed business processes and created the need for an "Information Technology Strategy." Today an integrated enterprise "Business - IT - Big Data - AI Strategy" is essential to lower costs and expand markets through differentiated products and services. The Artificial Intelligence strategy is not an add-on. It needs to be a core element of your enterprise strategic plan in 2019 and beyond!

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Health Catalyst Launches Open Source Machine Learning: healthcare.ai

Press Release | healthcare.ai, Health Catalyst | December 1, 2016

Use of machine learning and predictive analytics to improve health outcomes has so far been limited to highly-trained data scientists, mostly in the nation's top academic medical centers. No longer. healthcare.ai is on a mission to make machine learning accessible to the thousands of healthcare professionals who possess little or no data science skills but who share an interest in using the technology to improve patient care. By making its central repository of proven machine learning algorithms available for free, healthcare.ai enables a large, diverse group of technical healthcare professionals to quickly use machine learning tools to build accurate models...

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How Analytics Are Changing Health Care

Reid Davenport | FCW | April 25, 2014

There is more to federal health IT than HealthCare.gov. And as agencies grapple with public health research and the care of their patient populations, innovators outside government are showing what's possible with improved electronic health records (EHRs) and predictive analytics.

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How VA Is Using Big Data To Keep Patients Out Of The Hospital

Lara Shane | Government Executive | December 23, 2013

The Partnership for Public Service and IBM Center for The Business of Government recently issued “From Data to Decisions III: Lessons from Early Analytics Programs,” which examines successful early government users of data to see how they got started, what sustained them and how the data was used to improve mission-critical programs. Read More »

IBM's Smarter Approach To Contextual Cities

Shel Israel | Forbes | June 3, 2013

I am writing a book called Age of Context with Robert Scoble. It is expected to be complete in October. Following is an excerpt from a chapter called Contextual Cities and the New Urbanists. Read More »

Machine Learning in Healthcare: Part 1 - Learn the Basics

This article is the first in a three-part series that will discuss how machine learning impacts healthcare. The first article will be an overview defining machine learning and explaining how it fits into the larger fields of data science and artificial intelligence. The second article will discuss machine learning tools available to the average healthcare worker. The third article will use a common open source machine learning software application to analyze a healthcare spreadsheet. Part I was written to help healthcare workers understand the fundamentals of machine learning and to make them aware that there are simple and affordable programs available that do not require programming skills or mathematics background...

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Machine Learning in Healthcare: Part 2 - Tools Available to the Average Healthcare Worker

A variety of machine learning tools are now available that can be part of the armamentarium of many industries, to include healthcare. Users can choose from commercial expensive applications such as Microsoft Azure Machine Learning Studio, SAS Artificial Intelligence Solutions or IBM SPSS Modeler. Academic medical centers and universities commonly have licenses for commercial statistical/machine learning packages so this may be their best choice. The purpose of this article is to discuss several free open source programs that should be of interest to anyone trying to learn more about machine learning, without the need to know a programming language or higher math.

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Microsoft and Partners Combine the Cloud, AI, Research and Industry Expertise to Focus on Transforming Health Care

Peter Lee | Microsoft Blog | February 16, 2017

...Healthcare NExT, a new initiative to dramatically transform health care, will deeply integrate greenfield research and health technology product development, as well as establish a new model at Microsoft for strategic health industry partnerships. Through these collaborations between health care partners and Microsoft’s AI and Research organization, our goal is to enable a new wave of innovation and impact using Microsoft’s deep AI expertise and global-scale cloud.This initiative includes investments in resources for our partners to capture new opportunities to apply AI to healthcare, such as the Microsoft AI in Health Partner Alliance, an expanding group of partners focused on advancing health technology. Alliance members will receive unique training and access to Microsoft technologies, engineering expertise and data sets. Read More »

On the Need for a Universal Health Record

The current path of progress of the EHR, with its concentration on “meaningful use,” and an intellectual property regime that does not fully exploit the capacity for innovation by end-users is approaching an evolutionary dead-end. It is time to treat the EHR as what it should be: an integral part of medical care that has limitless potential for maximizing the use of information acquired in the provision of health care, and not an impediment to optimal care and a bugaboo for the physician. Read More »

Open Source EHR Generator Delivers Healthcare Big Data with FHIR

Jennifer Bresnick | Health IT Analytics | September 8, 2017

Healthcare data analysts frustrated by the lack of access to large volumes of clean, trusted, and complete patient data can now take advantage of an open source EHR data generator platform called Synthea. One million synthetic patient records are currently available within the free online system, which uses HL7 FHIR to allow access to standardized datasets that mimic real electronic health records...

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Open Source is Helping to Drive the Artificial Intelligence Renaissance

Sam Dean | Ostatic Blog | January 4, 2017

We're only a few days into 2017, and it's already clear that one of the biggest tech categories of this year will be artificial intelligence. The good news is that open source AI tools are proliferating and making it easy for organizations to leverage them. AI is also driving acquisitions. As Computerworld is reporting, in the past year, at least 20 artificial intelligence companies have been acquired, according to CB Insights, a market analysis firm. MIT Technology Review is out with its five big predictions for AI this year. Here is a bit on what they expect, and some of the open source AI tools that you should know about...

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