Name
Title | ||
|---|---|---|
OpenHealth Platform for Interactive Contextualization of Population Health Open Data. |
Abstract | ||
|---|---|---|
The financial incentives for data science applications leading to improved health outcomes, such as DSRIP (bit.ly/dsrip), are well-aligned with the broad adoption of Open Data by State and Federal agencies. This creates entirely novel opportunities for analytical applications that make exclusive use of the pervasive Web Computing platform. The framework described here explores this new avenue to contextualize Health data in a manner that relies exclusively on the native JavaScript interpreter and data processing resources of the ubiquitous Web Browser. The OpenHealth platform is made publicly available, and is publicly hosted with version control and open source, at https://github.com/mathbiol/openHealth. The different data/analytics workflow architectures explored are accompanied with live applications ranging from DSRIP, such as Hospital Inpatient Prevention Quality Indicators at http://bit.ly/pqiSuffolk, to The Cancer Genome Atlas (TCGA) as illustrated by http://bit.ly/tcgascopeGBM. |
Year | Venue | Field |
|---|---|---|
2015 | AMIA | Open data,World Wide Web,Computer science,Population health,Interpreter,Analytics,Health informatics,Workflow,JavaScript,The Internet |
DocType | Volume | Citations |
Conference | 2015 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonas S Almeida | 1 | 731 | 42.25 |
| Janos Hajagos | 2 | 81 | 5.07 |
| Ivan Crnosija | 3 | 0 | 0.68 |
| Tahsin M. Kurç | 4 | 1423 | 149.77 |
| Mary M. Saltz | 5 | 0 | 1.69 |
| Joel H. Saltz | 6 | 4046 | 569.91 |