Judging Criteria
All decisions of the Challenge Panel will be final. The Panel will consider the following criteria:
Data Completeness
- Evidence of collecting and sending all required challenge data using the value sets and codes specified in the CDA eICR R3.1 standard.
- The number and percentage of documents sent that include the required challenge data, including analysis of correct and incorrect coding.
- Note to HCO participants: The ODH data collection methodology must support accurate collection of the required ODH data elements, while minimizing provider workflow disruption. See below for suggestions on implementation.
- If your EHR supports collection of coded occupation and industry values, use it to collect this information.
- If your EHR does not support coded collection of occupation and industry values, but you have the ability to locally modify your EHR software, refer to the ODH homepage for resources on implementing a collection strategy for occupation and industry values, including user interface suggestions and use of keyword searches.
- If situations #1 and #2 do not apply to your HCO, collect coded industry and occupation values at the most detailed level possible using the North American Industry Classification System (NAICS) and the Standard Occupational Coding (SOC) system. These hierarchical codes are the foundation for the detailed ODH value sets and can be collected using a range of less specific (2-digit) to more specific (6-digit) levels.
- Higher scores will be awarded to participants who implement at the highest level of detail (i.e., using the entire value set). EHR vendors must provide the capability to code job industry and job occupation data elements to the full ODH value sets, as specified in USCDI V3, to meet the ONC HTI-1 certification criteria.
- Evidence of collecting and sending additional challenge data (below) using the value sets and codes specified in the CDA eICR R3.1 standard.
- The number and percentage of documents sent that include additional challenge data elements, including analysis of correct and incorrect coding can improve the participant’s score.
Policy and Technical Compliance
- Evidence of successful eCR processing through the APHL AIMS Platform using the CDA eICR R3.1 standard.
Communication/Collaboration with the Relevant PHA(s)
- Evidence of communication/collaboration with the PHA(s) eCR and occupational health programs’ points of contact, if applicable.
Breadth of Impact
- Evidence of using ODH to implement collection of patients’ work information in one or more healthcare facilities.
- Note: the size of your HCO will not impact your score.
Although these data elements are not required for the Challenge, including them (using the value sets identified in the CDA eICR R3.1 standard and correctly mapped into the R3.1 template) will increase your score based on both the number of these data elements implemented and the percentage of sent documents that include them.
- For each Job (see ODH):
- Employer name and address
- Work classification
- Supervisory level
- Work schedule
- Start date
- End date
- For Usual Work (see ODH):
- Start date
- Duration
- Facility ID – valid Facility National Provider Identifier (NPI), if available
- Laboratory Data
- Preferred Language
- Travel History
- Birth Sex (in addition to Administrative Gender)
- Parent/Guardian Name, Role, and Contact Information
Challenge Award Funding, Administration, and Rules
- All awards are made at the discretion of the Challenge Panel and the Panel decisions are final.
- Reporting must be from hospitals, health systems, and/or ambulatory practices in the United States and its territories.1
- Participants can implement eCR where it has not been done before OR update from a previous eICR standard. The CDA eICR R3.1 standard is required.
- Only complete submissions will be considered for an award.
- APHL employees and contractors are not eligible for Challenge awards.
- Participants who have received CDC funding for ODH implementation must show evidence of implementing collection of additional ODH data elements, in addition to meeting other Challenge requirements, to be eligible for an award.