Inspired by success of the likes of Y-combinator, a number of incubators have sprung up in last few years. Its encouraging to see that some have chosen to focus on Healthcare. With a trillion dollar market and a dire need for innovation seems like a right way to go. There has been a lot of optimism on an increased VC presence in healthcare IT.!

Few notable incubators – Continue reading →

Get your creative geek on and be part of the Health and Life Sciences application contest. The ten winning entries get an XBOX 360 console with Kinect for each team participant and a chance to make difference in Healthcare!

In addition to the application ideas on the contest website feel free to use the resources from Health hack-a-thons. Perhaps it will be great to see some mash-ups using data from http://www.data.gov/health.

Drop me a note if you need help connecting your mobile applications with HealthVault or are trying to explore the Health datasets.

Update: If you want to take your project to the next level, RockHealth might have some seed funding for you!

Thought this might be an interesting post from my personal blog.

Ushahidi has developed a really great application to crowd source information for crisis management of Swine Flu. You can check out the areas reported to have incidents of Swine Flu, as well as subscribe for alerts of possible cases in your city. Here is snapshot of this system:

Votereport.in uses this technology to report voting frauds in the ongoing general elections in India. A minor plug – Voterport.in is a sister site of WiseVoter.org, which I helped establish.

Any data system the semantic meaning of data is as important as the strucutre of the data. In HealthVault we expose a very structured data set in form of various data types and the semantic meaning of the content in those data sets is dictated by vocabularies.

HealthVault Vocabulary is a big area so I’m going to attempt to break this down in separate series of posts. In this post i’m primarily going to focus on vocabularies in general.

Many of you might have heard of the term – Semantic Web or Web 3.0. So whats this buzz about?  Well Web 1.0 was for humans to connect, Web 2.0 was for systems to connect to humans via rich internet applications. Web 3.0 promises a web for systems – a web where programs can communicate and link to each other. So what this implies is for Semantic Web to be successful – the data being put on the semantic internet need not only be structured but also the content be in such a way that computer programs can understand the meaning of it. This is only possible if everyone has a shared Vocabulary or Ontology, or a mechanism to relate to a new Vocabulary.

To solve the ontology problem we can just sit down and invent a vocabulary which everyone will use henceforth and be done with it, right!  First, we won’t agree to single vocabulary and second we can’t plan for future vocabularies. And the most important challenge is that the system which powers this vocabulary needs to agree with the architecture of the web i.e must be decentralized and open!

The semantic web community is using a very powerful way to achieve this. They are using the same mechanism which powers resource discovery (for example – URL linking) to discover and understand vocabularies. Two candidates which make this possible are RDF (resource description format) and OWL (Web Ontology Language). I won’t describe these technologies in details here but keep it for some other day. However the point of this note is to surface example ontologies or vocabularies this community has successfully used/developed so far:

• FOAF – http://en.wikipedia.org/wiki/FOAF_(software) : This ontology describes a persons social network
• FAO – http://en.wikipedia.org/wiki/Geopolitical_ontology: This ontology describes a geopolitical unit.

So how does this fit in the HealthCare? John Hamalka outlines the elements of vocabulary whicn an EHR can use in his post – http://geekdoctor.blogspot.com/2009/04/data-elements-of-ehr.html. He mentions preferred vocabularies and transports for some of important EHR elements. In the following posts i will try to go deeper in this area.

So how does this fit with HealthVault? Well HealthVault exposes all the vocabularies it uses – http://developer.healthvault.com/types/vocabs.aspx. We let people also annotate their data with any vocabulary they like. However this leds to an interesting interoperability problem, so on the XSD schemas of our data types (http://developer.healthvault.com/types/types.aspx) we specify preferred vocabularies for some data elements. In the following posts i will provide more details with regards to this.

As you can from John’s post their is no dearth of language systems for various medical or healthcare terms. However their is a big gap on best practices on how one can denormalize various vocabularies for implementeting systems which can interoperate with other systems using different vocabularies. I tend to think that there are some lessons to be learned in this area from semantic web efforts and also a need for a more structured effort to surface best practices. May be I’ll dig deeper in this area in one of the future posts.

Next post: Recommended Vocabularies for Various Data Contexts.

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