iMedix - Health belongs to the people

I can't think of more crucial topics that require knowledge sharing than health and medicine. This is definitely a space where many people have many questions and fears. Naturally, they are seeking answers from the community.
iMedix are soon launching a medical search engine based on user generated content.

Iri Amirav tells me today about iMedix (formally Remedix). Iri Amirav and Amir Leitersdorf, founders of iMedix are both experienced entrepreneurs. Iri previously served as Marketing Director at Metacafe and Amir as CTO at Movota which was acquired by Arvato mobile and prior to that as CTO at Tapuz search engine.
He says they plan on revealing a new user experience to medical search. The search engines dynamic learning algorithm provides the user with information relevant to him/herself and this is determined by the users ranking.

Two types of results are provided:

1. Reliable health information from the top sources across the web
   
2. Information from people who share health experiences similar to the person searching

Iri explains that currently only 16-18% of users searching for medical information are satisfied with the results and that their solution will increase these results by creating a social network that enables people to share health issues.

In the future I think leveraging these strong capabilities by allowing users to recommend and rank doctors specializing in a related medical area would provide the users with an added value in the real world. This way users would benefit from the community's medical treatment experience.

iMedix is in alpha and is soon to launch. Sign up for their launch alert.

Technorati Tags: health imedix medical israel web 2.0 search engine social knowledge social network

Social knowledge by Velingo

"Social Knowledge means taking the results from the larger community of Internet users based on an instant analysis"
That's what Velingo are doing, they have developed a Web 2.0 solution which enhances search dramatically. It's called Social Knowledge and it plugs in to any search engine. The Velingo search engine system relies on users search results for optimizing future search results, in other words its performing social searches and eventually producing more accurate results .

This is how it works:

1. The user initiates a search by sending a query to the regular search server.
2. The search server sends a request to the Velingo Server that
3. sends a response. This response contains the additional data that is embedded into the Search result page
4. and is sent back to the user.

The page tags are created by the Velingo server and describe a set of tags for the whole result page. Document tags are related to each document.

Technorati Tags: search engine social knowledge velingo