Instrumented Interconnecteds Intelligent

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One of the most emotion-fraught scenes in Precious, the highly-regarded 2009 film, takes place when the protagonist, an overweight, illiterate, 16-year-old black girl living in New York’s Harlem neighborhood, steals a bucket of fried chicken from a fast-food restaurant and stuffs her face as she rushes to school. Rather than providing sustenance, the food makes her sick.

This scene encapsulates the extreme complexity of improving public health. A nation’s health care system is just one of many influences that determine whether individuals are healthy or not. You’ve also got to consider the family situation, education, genetics, poverty, location, transportation, retailing, advertising and a host of other factors. Each of these factors is a complex system in itself, with its own dynamics. Add them all together, with all of their interdependencies, and it looks like chaos.

But it doesn’t have to be.

Some of our research colleagues at the Almaden lab are working on a project aimed at making it possible for government and business policymakers to get an accurate, holistic view of health so they can analyze the situation well  and craft better ways of improving it. Called SPLASH (it’s an acronym, but don’t ask what the letters stand for),  the project seeks to create a technology platform and a community for integrating all of the data models that researchers and social scientists have created for the various systems affecting health. “People started to realize that this could be done, but nobody was mapping the system of systems. It’s so complicated,” says Paul Maglio, an IBM researcher who co-leads the project along with researcher Pat Selinger, who adds: “We hope to build a community of people who can contribute models and data, start a dialogue, and do joint work together.”

That dialogue was launched last week at Almaden Institute 2010, a two-day conference held at the lab in San Jose, Calif. About 200 people from different health-oriented realms watched presentations and discussed the possibilities for collaboration. Some were quite enthusiastic about forming a community. “I’d love to partner with you. I hope this can be the beginning of a good conversation,” said Kevin Grumbach, the chief of family and community medicine at San Francisco General Hospital.

There’s a lot of technical work to be done, which is one reason why IBM Research has made SPLASH one of its so-called grand challenges–big-bet projects that require technical breakthroughs. The difficult tasks include defining software languages and methods for describing and matching data models,  and inventing frameworks for integrating the various models.

The other main challenges are not technical: Understanding how to communicate effectively with policymakers and defining innovative business models that  create win-win situations for various participants in the system. What kinds of incentives, for instance, could government leaders create to induce grocery stores stocking a wide variety of fresh fruits and vegetables to locate outlets in inner city neighborhoods?

For starters, the team will attempt to create an integrated model for addressing the causes and effects of obesity.

This effort is certainly daunting, but, if it works, it could help transform the art of  health policy decision making into a science.

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Posted by: Annemarie Driesel
 
May 12, 2010
10:38 am

Andy, what support do you have for the data point re 50% of public health care claims records are fictious? Please provide a citation. Absent an authoritative one, your point seems over-wrought.


Posted by: Mike
 
May 10, 2010
1:09 pm

Interesting idea, possibly a bit naive. At exhorbitant cost there is a hugh amount of “data” available the value and credibility of which is doubtful. The United States spends a fortune collecting claims data for 16 public health care programs comprising 1/2 of the US health care budget per year. Unfortunately that data is under the control of HHS/CMS which does not know how to manage the 300 terabytes per quarter that is available, and the CMS pays the private sector to process that data which they use, and feel they own, for their own distince health care models. Finally, and this is the coup-de-grasse, 50% of all public health care claims records are fictious so the very first question one has to ask has nothing to do with science and simulation (which has a misplaced priority in this SPLASH initiative) but: HOW DO YOU GET RID OF THE FICTIOUS DATA? Yes, this leads to a further question of momentus significance: “How is any health or health care analysis, which uses public health care claims records as it ‘data’ valid in the first place? which leads to the question: If the US government is willing to throw away $600Billion per year in Waste, Fraud and Abuse, and if NIH survey research, more $billions per year, is thrown away by researchers using this data, of what value are the results and how is SPLASH going to perform differently.

Fix the root problem first, science can follow. OK, so IBM is a science organization, so I guess they cannot be faulted too much for not bothering to use valid, reliable, well constructed and vetted data.


Posted by: andy loebl
 
May 6, 2010
5:55 pm

Rob,
That’s a different research project.

Michael,
Please contact Sara Galligan at sdelekta@us.ibm.com

Best,
Steve


Posted by: Steve Hamm
 
May 6, 2010
1:54 pm

What is the relationship between this project and the Structural Pattern Localization Analysis by Sequential Histogram algorithm/program? Is this an application of SPLASH, or something different? Thank you.


Posted by: Rob Levy
 
May 6, 2010
12:55 pm

I am a General Practitioner in the UK.
I have been interested in Holistic approaches to medicine for years, and have worked in the Uk and in S.Africa.
I am interested in being part of such an impulse as described on this site, and would like to know more.
(My website is out of date, and in the process of being changed.)


Posted by: Michael Wetzler
 
May 6, 2010
12:04 pm

[...] on Thursday launched a multi-year research effort to improve human health insight by collecting and analyzing enormous [...]
+1


Posted by: John
 
2 Trackbacks
 
July 21, 2010
1:36 pm

[...] scientists are engaged in a multi-year research effort to connect and analyze enormous collections of information from a wide variety of sources in order [...]


Posted by: IBM Bolsters Scientific Research to Improve Healthcare Quality and Costs
 
May 6, 2010
10:10 am

[...] on Thursday launched a multi-year research effort to improve human health insight by collecting and analyzing enormous [...]


Posted by: IBM ‘Splash’ project simulates cause-and-effect to improve healthcare - SmartPlanet
 
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