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EvidenceQuality.Rmd

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Before embarking on any journey, it can be helpful to envision what the ideal destination might look like. To support our journey from data to evidence, we highlight desired attributes that can underlie what makes evidence quality reliable.
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```{r datajourney, fig.cap='Desired attributes of reliable evidence', echo=FALSE, out.width='100%', fig.align='center'}
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```{r attributesOfEvidence, fig.cap='Desired attributes of reliable evidence', echo=FALSE, out.width='100%', fig.align='center'}
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knitr::include_graphics("images/EvidenceQuality/reliableevidenceattributes.png")
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```
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OhdsiCommunity.Rmd

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For more than a decade, many have argued for the vision of a **learning healthcare system**, "designed to generate and apply the best evidence for the collaborative healthcare choices of each patient and provider; to drive the process of discovery as a natural outgrowth of patient care; and to ensure innovation, quality, safety, and value in healthcare". [@olsen2007learning] A chief component of this ambition rests on the exciting prospect that patient-level data captured during the routine course of clinical care could be analyzed to produce **real-world evidence**, which in turn could be disseminated across the healthcare system to inform clinical practice. In 2007, the Institute of Medicine Roundtable on Evidence-Based Medicine issued a report which established a goal that "By the year 2020, 90 percent of clinical decisions will be supported by accurate, timely, and up-to-date clinical information, and will reflect the best available evidence." [@olsen2007learning] While tremendous progress has been made on many different fronts, we still fall well short of these laudable aspirations.
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Why? In part, because the journey from patient-level data to reliable evidence is an arduous one. There is no single defined path from data to evidence, and no single map that can help to navigate along the way. In fact, there is no single notion of "data," nor is there a singular notion of 'evidence'.
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Why? In part, because the journey from patient-level data to reliable evidence is an arduous one. There is no single defined path from data to evidence, and no single map that can help to navigate along the way. In fact, there is no single notion of "data," nor is there a singular notion of "evidence."
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```{r datajourney, fig.cap='The journey from data to evidence', echo=FALSE, out.width='100%', fig.align='center'}
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knitr::include_graphics("images/OhdsiCommunity/datajourney.png")

WhereToBegin.Rmd

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To being posting your own topics, you will need to sign up for an account. Once you have a forums account, you are encouraged to introduce yourself on the General Topic under the thread called "Welcome to OHDSI! - Please introduce yourself". You are invited to reply and 1) Introduce yourself and tell us a bit about what you do and 2) Let us know how you’d like to help out in the community (ex. software development, run studies, write research papers, etc). Now you are on your OHDSI Journey! From here, you are encouraged to join in the discussion. The OHDSI Community encourages using the Forums as your way to ask questions, discuss new ideas and collaborate. \index{forum}
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```{block2, type='rmdimportant'}
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You can select topics to watch’. What this means is whenever a new post is added in a topic you’re watching, you will receive an email and be able to reply to the post directly through your email. Watch the general thread to recieve details about upcoming meeting agendas, collaboration opportunities and have the weekly OHDSI digest delivered directly to your inbox!
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You can select topics to "watch." What this means is whenever a new post is added in a topic you’re watching, you will receive an email and be able to reply to the post directly through your email. Watch the general thread to recieve details about upcoming meeting agendas, collaboration opportunities and have the weekly OHDSI digest delivered directly to your inbox!
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```
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