Guided walkthrough: Timeline view Reply

Last time, we discussed the Map view to see clinical trials plotted on a map. Today, we’re going to explore the timeline view, which gives a chronological map of sorts to visualize clinical trials.

Introduction

With such a huge library of clinical trial data house within our system, we want to give our users as many ways to discover trials that would aid their research.

Let’s say, for example, you want to see all the tuberculosis trials that occurred in the 2000′s and filter to those which took place in the last half of the decade. How can you filter through dozens of search returns in a simple way? By showing an interactive timeline view, we’ve made this possible.

To see more, let’s dig in.

Plotting your timeline

To find the timeline view, let’s continue our tuberculosis user case from our series of posts. In this case, I’m searching for trials regarding tuberculosis. To see timeline view, simply select Timeline from the list of options at top of the search screen:

Timeline view
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Instant Collections! 2

We all like instant gratification. We think public information should also be available in near instant fashion. As we’ve outlined in our post about building an Open Clinical Intelligence Network, we are enabling public data through “webification” in our collect phase of our 4C model. What does this do for you? Take a look at this video for a quick overview of how bookmarklets can greatly simplify the creation of collections and enable one to explore clinical research information on the fly. More…

Clinical Collections: Using map view to drill down 1

Note: this post is the 2nd of a 3 part series explaining our Clinical Collections tool and helping users learn more about the facility this provides. Please find  Guided Walkthrough:Faceted search here

We, as a society, love graphs, photos and infographics.  In essence, we love seeing data represented in a visual manner. Also, in the last 5 or so years, we’ve been an online public which absolutely loves maps.

Think about it – if you’re looking for real estate online, the best way to find your perfect next home is by looking at the homes for sale in a map area where you can click on each home and see the streets surrounding it.

In this spirit, we’re proud to have a really cool map view feature in our Clinical Collections Tool.

To find the map view, let’s continue our Tuberculosis use case from our faceted search walk-through. In this case, I’m searching for trials regarding tuberculosis. To see map view, simply select Map from the list of options at top of the search screen:

You can then pull up the map view, showing all the tuberculosis search returns overlaid on to a map.

We, as a society, love graphs, photos and infographics.  In essence, we love seeing data represented in a visual manner. Also, in the last 5 or so years, we’ve been an online public which absolutely loves maps.

Think about it – if you’re looking for real estate online, the best way to find your perfect next home is by looking at the homes for sale in a map area where you can click on each home and see the streets surrounding it.

In this spirit, we’re proud to have a really cool map view feature in our Clinical Collections Tool.

To find the map view, let’s continue our Tuberculosis use case from our faceted search walk-through. In this case, I’m searching for trials regarding tuberculosis. To see map view, simply select Map from the list of options at top of the search screen:

You can then pull up the map view, showing all the tuberculosis search returns overlaid on to a map.

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Building An Open Clinical Intelligence Network 20

“Drug development processes must improve, and… open innovation methods can be used to make clinical development better and faster.”  These convictions are from our White Paper and express what drives the Lilly COI team.

But the processes will not improve without some necessary changes.  We believe that to make clinical development better and faster means allowing people around the world to contribute to clinical research.  To facilitate those contributions, clinical research data must be made accessible, consumable and useful.  To ultimately make life better for patients, the improvements we envision include two essentials: “webified data and motivated people.”
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