A good overview of how improved data analysis and presentation is improving health care delivery.
I especially liked the slideshare presentation found below in Related Articles.
The 42 slides in Big data – a brief overview outlines what big data is, its sources and processes, how it is analyzed, current “players”,examples, market analysis, future, and opportunities.
Slowly but surely, health care is becoming a killer app for big data. Whether it’s Hadoop, machine learning, natural-language processing or some other technique, folks in the worlds of medicine and hospital administration understand that new types of data analysis are the key to helping them take their fields to the next level.
Here are some of the interesting use cases we’ve written about over the past year or so, and a few others I’ve just come across recently. If you have a cool one — or a suggestion for a new use of big data within the healthcare space — share it in the comments:Genomics. This is the epitomic case for big data and health care. Genome sequencing isgetting cheaper by the day and produces mountains of data. Companies such asDNAnexus, Bina Technologies, Appistry and NextBio want to make analyzing that data to discover cures for diseases faster, easier and cheaper than ever using lots cutting-edge algorithms and lots of cloud computing cores.BI[definition of business intelligence] for doctors. Doctors and staff at Seattle Children’s Hospital are using Tableau to analyze and visualize terabytes of data dispersed across the institution’s servers and databases. Not only does visualizing the data help reduce medical errors and help the hospital plan trials but, as of this time last year, its focus on data had saved the hospital $3 million on supply chain costs…...Semantic search. Imagine you’re a doctor trying to learn about a new patient or figure out who among your patients might benenfit from a new technique. But patient records have been scattered throughout departments, vary in format and, perhaps worst of all, all use the ontologies of the department that created the record. A startup called Apixio is trying to fix this by centralizing records in the cloud and applying semantic analysis to uncover everything doctors need, regardless who wrote it…..Getting ahead of disease. It’s always good if you figure out how to diagnose diseases early without expensive tests, and that’s just what Seton Healthcare was able to dothanks to its big data efforts…
- Better medicine, brought to you by big data [GigaOM] (gigaom.com)
- Intel and NextBio seek Big Data upgrades in genomics (fiercebiotechit.com)
- Big Changes Are Ahead For The Health Care Industry, Courtesy Of Big Data (fastcompany.com)
Big data – a brief overview (slideshare.net) [a slide presentation, 42 slides]
- Oracle adopts the popular R language for the enterprise and big data. (oracle.com)
- Presentation: Scalability Challenges in Big Data Science (architects.dzone.com)
- Salesforce intros Radian6 Insights for social big data (zdnet.com)
- Big Data Modeling – Part I – Defining “Big Data” and “Data Modeling” (infocus.emc.com)
- NextBio and Intel Announce Collaboration to Optimize Use of Hadoop Stack And Move Forward With Big Data Technologies in Genomics (ducknetweb.blogspot.com)
- A Beautiful Friendship: Big Data and Social Media (blogs.sap.com)
- Stanford rides Big Data wave in medical research (fiercebiotechit.com)
- Big Data? Big Deal! (clean-clouds.com)
From the 21 March 2012 article by Gary Schwitzer at HealthNewsReviews.org
That’s what one author writes in a series of papers published in Circulation: Cardiovascular Quality and Outcomes this month addressing issues involving the integrity of research data.
Yale’s Harlan Krumholz writes: “Patients facing a decision deserve information that is based on all of the evidence.” Further excerpt:
Every day, patients and their caregivers are faced with difficult decisions about treatment. They turn to physicians and other healthcare professionals to interpret the medical evidence and assist them in making individualized decisions.
Unfortunately, we are learning that what is published in the medical literature represents only a portion of the evidence that is relevant to the risks and benefits of available treatments. In a profession that seeks to rely on evidence, it is ironic that we tolerate a system that enables evidence to be outside of public view. Those who own data, usually scientists or industry, have the choice of what, where, and when to publish. As a result, our medical literature portrays only a partial picture of the evidence about clinical strategies, including drugs and devices. Experts have recently drawn attention to this issue, including contributions in this issue of our journal, but there is resistance to change….
The article goes on outline how sharing of clinical trial and research data could be shared for the common good.
- Bias and error are rampant in medical literature (kevinmd.com)
- Data sharing as a moral imperative (Marilyn Mann’s blog)
- Open Science and Data Sharing in Clinical Research
Basing Informed Decisions on the Totality of the Evidence (Circulation)
- Strengthening and Opening Up Health Research by Sharing Our Raw Data (Circulation)
- The Importance of Clinical Trial Data Sharing (Circulation)
- Scientific evidence (sixpointnineme.wordpress.com)
- Many NIH-funded clinical trials go unpublished over 2 years after completion (eurekalert.org)
Translational research tool could mean creation of new Ohio-based tech support center(Ohio State University Medical Center) Cloud computing is a term used to describe a system that allows easy access to a shared pool of resources. The “cloud” acts like a virtual supercomputer that can pull together a cluster of other computers to work together to perform certain tasks. The system works well when the data that are being stored, accessed and shared are in common formats that are universally “recognized” by end user tools. But research data are often not captured or stored in formats that are compatible.
“With the current technology, a researcher might dedicate more than 100 hours to connect the dots between a set of tissue samples, the individual medical histories for the patients who provided those tissues, and then analyzing the group as a whole. With the TRIAD platform, researchers can now execute this type of search and analysis in minutes,” says Philip R. O. Payne, chair of the department of biomedical informatics at The Ohio State University Medical Center….
How it Works
Cloud computing is a term used to describe a system that allows easy access to a shared pool of resources (e.g., applications, servers, storage, networks) that can be quickly allocated and released with minimal effort by an administrator. The “cloud” acts like a virtual supercomputer that can pull together a cluster of other computers to work together to perform certain tasks. The system works well when the data that are being stored, accessed and shared are in common formats that are universally “recognized” by end user tools. But research data are often not captured or stored in formats that are compatible….
- How Powerful Is The Cloud Software That Runs Today’s Big Websites? (onlinebm.wordpress.com)
- Head in the clouds. What is Cloud Computing and could it cut your business costs? (premierlinedirect.co.uk)
- Cloud-Computing-Economics.com — The Specialty Blog for Business Aspects of Cloud Computing Now Open to the Public (prweb.com)