Public Health Affinity Domain: A Standards-Based Surveillance System Solution

Carmeli, Boaz; Eshel, Tzilla; Ford, Daniel E.; Greenshpan, Ohad; Kaufman, James H.; Knoop, Sarah; Ram, Roni; Renly, Sondra

doi:10.1007/978-3-540-72608-1_14

Cited by 2 publications

(1 citation statement)

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“…Clinical and public health laboratories need to exchange information about outbreaks of communicable diseases, often across administrative and political boundaries. A solution developed for this purpose by IBM, the Public Health Affinity Domain [15], uses documents based on the XD-LAB specification [16] to exchange information about which strains of various pathogens have been detected, drug resistance, and so forth. XD-LAB is a general purpose CDA-based standard for laboratory test results, developed by an organization called Integrating the Healthcare Enterprise (IHE).…”

Section: Application Scenariomentioning

confidence: 99%

Analyzing clinical data in XML

Hui

Knoop

Schwarz

2012

Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

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As identified by recent US Dept. of Health and Human Services rulings [2], cohesive standards are essential to increasing accessibility and consumablity of data from heterogeneous sources. The ability to exchange standardized healthcare information is a critical aspect of this problem and HL7s XMLbased Clinical Document Architecture (CDA) is quickly becoming the prevailing format. CDA has clear benefits for healthcare information exchange, but also introduces new technical challenges when one desires to perform in-depth analysis on the information captured by a set of these documents. Healthcare Information Warehouse for Analytics and Sharing (HIWAS), a tooling technology, addresses this challenge in two key ways: one, summarizing data for better understanding by a human user and, two, facilitating conventional analysis by aiding in the creation of and transformation to a simplified model. By making these complex XML documents digestible with conventional business intelligence and analysis technology, HIWAS lowers a key barrier to meaningful use of aggregated clinical data.In this demonstration, we first describe challenges of integrating and analyzing CDA documents, how they are addressed by the HIWAS technology, and finally present an application scenario in which we prepare laboratory data captured in this standard format for analysis by public health officials.

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Section: Application Scenariomentioning

confidence: 99%