Tag Archives: clinical trials data
Hearing Patients’ Voices 1
Regina Holliday’s husband Fred died of kidney cancer on June 17, 2009. His untimely death was a tragedy, but it served to reveal a gap in today’s healthcare landscape: patients’ access to their own medical data.
Telling her story, Regina recounts a lack of communication from Fred’s doctors and significant roadblocks to crucial information about both his history and the state of the cancer. Not long after his diagnosis, Regina lost her husband. But in that, she embraced a mission – and started a movement.
“The Walking Gallery” is a big part of that movement. It refers to striking, full-color mural scenes Regina has depicted in acrylic paint on the backs of suit jackets and lab-coats. The painted garments tell myriad stories: from patients’ struggles to health care enigmas, to reform ideas for national and global issues. They are worn to conferences and events by a variety of health advocates and friends of the movement.
Regina’s message is that without patients’ unique stories and perspectives, information that the public receives about disease, treatment options, and the whole of patient care is incomplete. More…
LCOI-API Series: Features – JSON and on… Reply
This is the second in a series of blog posts introducing the LCOI-API. We’ll be looking at a couple of its features, encouraging its use by developers to create solutions in the spirit of clinical open innovation. Read the first post of this series here.
You may have read a few days ago that we launched version 1.0 of our LillyCOI-API. We mentioned that the genesis of an Open Clinical Intelligence Network (OCIN) means that developers, informaticists and others will be able to create their own applications to Collect, Consume, Curate and Connect around digitized clinical objects.
As you know, V1.0 initially sources data from clinicaltrials.gov and transforms it into a format that web app developers can work with. It is currently read-only, but we wanted to highlight a couple of the ways our LCOI-API accomplishes that transformation.
First, we elected to use JSON and Exhibit JSON data notation. Clinicaltrials.gov uses XML for data handling, but XML requires the developer to go through more steps to reach the same result, and is not easily web-ready.
JSON notation makes it easy for JavaScript in a web page to download and process the data. Using a library such as jQuery makes it even easier. Here’s a quick example that shows how to get the list of intervention categories using our API: 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.
