This report summarizes a series of seven meetings of the Syndrome Definition Workgroup held in 2014 and 2015.
Objective
To review, validate, and modify syndromes and provide community input on a process to update or develop syndromes.
This report summarizes a series of seven meetings of the Syndrome Definition Workgroup held in 2014 and 2015.
Objective
To review, validate, and modify syndromes and provide community input on a process to update or develop syndromes.
This report summarizes a series of Data Sharing Workgroups that occurred in 2014 and 2015.
Purpose of the workgroups: To provide community input on topics related to data sharing functionalities in the BioSense platform.
What is R?
R is a language and free software environment for statistical computing and graphics. It compiles and runs on a variety of UNIX platforms, Windows, and MacOS. It is similar to the S language and environment - in fact, much code written in S will run unaltered in R. The R environment is an integrated suite of software facilities for data manipulation, calculation and graphical display. You can learn more about R from the R Project website.
How Can I Get R?
This letter was intended to establish a dialogue between surveillance professionals and the BioSense Governance Group. The particiapnts were interested in establishing data sharing relationships across jurisdictions utilizing BioSense. Within this letter are a number of recommendations for increasing the feasibility of this data sharing process in BioSense. Recommendations include: 1) increased documentation and additional tools; and 2) functionalities in the BioSense application.
This checklist will prepare Eligible Hospitals (EHs) and Critical Access Hospitals (CAHs) to fulfill Syndromic Surveillance (SS) interoperability with the Arizona Department of Health Services (ADHS) and begin the process of meeting Stage 2 Requirements for Meaningful Use (MU).
This guide offers standardized specifications to Eligible Hospitals (EHs) and Critical Access Hospitals (CAHs) for the electronic transfer of Syndromic Surveillance (SS) data from hospital Certified Electronic Health Records technology (CEHRT) to the BioSense 2.0 system for SS reporting. This guide will provide an overview of the type of data being collected, the suppliers of the data, the system collecting the information, and the format needed for successful submission of Syndromic Surveillance data to ADHS.
This letter from ISDS offers comments on proposed rule for meaningful use Medicare and Medicaid Programs; Electronic Health Record Incentive Program in the Department of Health and Human Services in the Office of the Secretary, 45 CFR Part 170 RIN 0991–AB58.
This letter from ISDS offers Comments from on proposed rule for meaningful use Medicare and Medicaid Programs Electronic Health Record Incentive Program 42CFR Parts 412, 413, 422, and 495 CMSB0033BP.
RIN 0938BAP78.
Follow these instructions on how to run ILI R code on your BioSense data locker using R studio.
A health information interchange architecture (HIIA) defines the attributes of a data sharing relationship between two parties. In the context of electronic syndromic surveillance (ESS), this refers to the standards, tools, and means to securely transport an ESS message from a sender (typically an Electronic Health Record, or EHR, system from a healthcare provider) to a recipient (typically a public health agency). The HIIA must support the set of business processes defined for ESS in the 2011 ISDS Final Recommendation: Core Processes and EHR Requirements for Public Health Syndromic Surveillance Report 1 and function with the available infrastructures both within public health and the larger healthcare system.
Objective
In support of national efforts to modernize and enhance health information system interoperability for public health purposes, this report seeks to clarify electronic health information interchange requirements for public health syndromic surveillance by providing: • An assessment of various health information interchange architectures for their ability to meet syndromic surveillance business requirements (See Appendix); • A comparison of potential data transport mechanisms; and • Recommendations for data transport to support Meaningful Use implementation