Partners In Health (“PIH”) EMR Data Modeling/Terminology Consultant Job Vacancy in Rwanda

Job
description
Title: EMR Data
Modeling/Terminology Consultant (Temporary)
Reports To:
PIH-IMB/Rwandan MOH Rockefeller Grant Team
Location: Kigali and
Rwinkwavu, Rwanda

Organizational Profile:
Partners In Health (“PIH”), co-founded by
Paul Farmer and Ophelia Dahl and headquartered in Boston, MA, is an
internationally recognized non-profit organization whose mission is to provide
a preferential option for the poor in health care. Through its service delivery,
training, advocacy and research, PIH works globally to bring the benefits of
modern medical science to those most in need and to serve as an antidote to
despair. PIH has major programs in Haiti, Peru, Guatemala, Mexico, Russia,
Rwanda, Lesotho, Malawi, Burundi, Kazakhstan, the Dominican Republic, and
Boston, working tirelessly to lessen the joint burden of disease and poverty.
PIH began working in Rwanda in 2005, where today we
serve a catchment area of 800,000 through 37 health centers and three hospitals
with our sister organization, Inshuti Mu Buzima (IMB). Taking the lessons
learned and expertise honed in Haiti, our efforts in Rwanda have achieved rapid
success, gaining the attention of both the highest levels of the Government of
Rwanda and the international community. Through partnership with the Ministry
of Health in our efforts, we have already helped to strengthen the public
health system in the areas we serve and are helping the government develop
plans to replicate elements of our model throughout the country.
In Rwanda, electronic medical records (EMR) make a
major contribution to PIH/IMB’s efforts to strengthen the national and local
healthcare systems. PIH and its partners pioneered the development of OpenMRS,
an open source electronic medical record system, which is currently being
implemented nationally by the Rwandan Government. PIH/IMB and MOH teams develop
and supports EMR in over 250 health centers in Rwanda, with patient records
supporting care for HIV, TB, non-communicable disease, primary care, antenatal
care and oncology.
General Responsibilities:
In 2013, the Rockefeller Foundation awarded PIH a
grant to work with the Rwandan Ministry of Health (MOH) to create a shared
national dictionary for OpenMRS. The current OpenMRS EMR systems supported by
PIH-IMB and the Rwandan MOH do not share a common dictionary, which makes
sharing content between the systems difficult. A successful outcome for the
Rockefeller project will be a standardized national dictionary both systems can
use, a process to maintain a single national dictionary, and the ability to
share clinical content between PIH-IMB and MOH supported systems. This is a
short-term consultant position funded by a grant from the Rockefeller
Foundation. The consultant is responsible for analyzing the current OpenMRS
concept dictionaries used by PIH-IMB and MOH and leading the work to create a
single national dictionary usable by both systems.
Specific Responsibilities:
  • Analyzing the current EMR systems supported by
    PIH-IMB and MOH, understanding the functionality of each system and
    comparing the concepts used in each system
  • Identifying where the OpenMRS concept
    dictionaries of the systems are similar and different
  • Making a detailed plan to standardize the
    dictionaries, while maintaining the integrity and functionality of current
    systems
  • Working with development teams from PIH-IMB
    and MOH to implement changes needed to standardize dictionaries and share
    content between systems
  • Develop a protocol for maintaining a national
    dictionary and working with the Rwandan MOH team to implement the protocol
Qualifications:
  • Minimum 3-5 years of data modeling experience
    including work with EMR systems
  • Masters degree in clinical informatics/health
    informatics or equivalent experience
  • Experience working with OpenMRS concept
    dictionaries is strongly preferred
  • Working knowledge of medical terminology;
    clinical background is an asset
  • Experience with standard terminologies such as
    ICD10
  • Strong oral and written communications skills
  • Excellent analytical skills
  • Ability to work with a variety of
    stakeholders, including diverse educational, professional, and cultural
    backgrounds
  • Willing to work in a resource-poor setting
How to apply
Click here to apply.
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