Social Media Icons

  1. IIS Workforce Classifications

Filter Resources

IIS Workforce Classifications

Resource Files: 
PDF icon IIS Competency Domain Model: Knowledge, Skills and Abilities for IIS Job Roles
Resource Files: 
Sample job roles
PDF icon Data Entry Deduplication Specialist.pdf
PDF icon Data Extract Analyst.pdf
PDF icon Data Quality Analyst.pdf
PDF icon Help Desk Technician Tier 1.pdf
PDF icon Help Desk Technician Tier 2.pdf
PDF icon Interface Analyst.pdf
PDF icon Manager.pdf
PDF icon Testing Analyst.pdf
PDF icon Trainer.pdf
Authors: 
PHII's Informatics Academy
Date: 
March 31, 2016
Topics: 
Information systems development
Workforce development

Created with funding from the CDC, these nine sample role descriptions and a related competency domain model are intended to provide guidance for identifying staffing needs and subsequent recruiting for immunization information systems.

Additional workforce training and resources are available at informaticsacademy.org.

Citation Information: 
The Public Health Informatics Institute. "IIS Workforce Classifications." https://www.phii.org/resources/view/9398/iis-workforce-classifications (accessed 01/18/2019).

Related resources

Case Study: The York Bureau of Health's Search for an Information System

May 17, 2017
In 2016, the City of York Bureau of Health was ready to invest in an electronic information system to support its clinical services and community prevention efforts. The bureau partnered with the Public Health Informatics Institute (PHII) and completed PHII’s Collaborative Requirements Development...

Electronic Health Record Requirements for Public Health Agencies

November 7, 2016
This document provides public health agencies with a set of information system requirements needed to support electronic health records (EHRs) for case management and clinical services. These EHR requirements are designed to be general, giving public health agencies a starting point for creating...

Next Generation Electronic Death Registration System

March 16, 2016
This paper presents potential strategies for designing and implementing a next generation electronic death registration system to support improved quality and timeliness of vital records data.