Implementation Matrix

The following table lists the six steps in the implementation process (0-5), the cross-cutting areas to be considered at each step (A-G), and the specific outcome to achieve for each.

 

A. Governance

B. Project Management

C. Software & Systems

D. Data Sharing & Interoperability

E. Data Quality & Standards

F. Training & Support

G. Data Use & Reporting

0. Assess: Understand What Is Needed

0-A. Identify and build
leadership.

0-B. Define desired outcomes and
project scope.

0-C. Map the health workforce information
architecture.

0-D. Understand eHealth
architecture, strategy, and key stakeholders.

0-E. Assess data managers and
sources of HRH data and related standards.

0-F. Identify available support
resources and training needs.

0-G. Begin defining policy and
management questions.

1. Plan: Ensure a Successful Implementation

1-A. Form the Stakeholder Leadership Group and
implementation team.

1-B. Create an implementation plan.

1-C. Define system requirements.

1-D. Standardize data formats and usage across systems.

1-E. Identify data standards, lists, and sources for them.

1-F. Train data collectors.

1-G. Define reports.

2. Deploy: Make iHRIS Work for You

2-A. Institute standard operating
procedures.

2-B. Manage customizations to
requirements.

2-C. Install iHRIS and understand
how it works.

2-D. Understand how to import and
export data from iHRIS.

2-E. Customize fields and forms.

2-F. Train system administrators
and helpdesk.

2-G. Customize and develop
reports.

3. Pilot: Start Small and Show Value

3-A. Work with SLG and team to guide, share, and learn from
results.

3-B. Implement pilot.

3-C. Iteratively adapt to pilot findings.

3-D. Pilot interoperability with initial systems. 

3-E. Collect and enter data.

3-F. Train pilot data entrants and users.

3-G. Produce pilot reports and analyze for dissemination.

4. Scale-up: Extend Your Pilot to All
Stakeholders

4-A. Measure and share success.

4-B. Plan for scale.

4-C. Ensure system works at
scale.

4-D. Integrate with other systems
in the architecture.

4-E. Create and implement data
quality management processes.

4-F. Scale up training.

4-G. Establish routine reporting.

5. Sustain: Maintain and Support the System

5-A. Support business processes.

5-B. Monitor performance.

5-C. Maintain, upgrade, and iteratively improve systems.

5-D. Broaden data-sharing initiatives.

5-E. Establish routine data validation.

5-F. Plan for technical support.

5-G. Continue cycle of data use and feedback for system
improvement.