Terms of Reference – Consultant HealthGIS Analyst – Epidemiological Surveillance

1.     Background

The Ministry of Health and Wellness seeks to strengthen the capacity for analysis of surveillance data at the national level.  This is in recognition of the increased availability of data and need for rational use of data to inform interventions. This includes the use of data generated via routine disease/event based and sentinel surveillance systems as well as the identification and harnessing of non-traditional data sources. It is apparent in light of recent outbreaks that a critical component of the national surveillance system is the ability to maintain capacity and remain resilient in the face of new public health threats.  The system must therefore be able to maintain routine data management functions for diseases such as HIV, while responding to increased demand for useful information synthesized in the face of public health threats.

To this end, the Ministry of Health and Wellness is building a data science team capable of processing large volumes of routine and new or Big data in ways that meet the needs of various stakeholders.  This includes building the capacity to develop and maintain resilient systems for timely data capture, processing and information synthesis and dissemination.  Under the CDC Cooperative Agreement, the data science team will consist of existing staff with the addition of data scientists, geospatial analysts, and other staff who will enhance the analytical capabilities at the national level and improve the capacity for data analysis and use at the subnational levels.

Recognising that digital health systems should be person-centric, enable data-driven healthcare and built for research, the MOHW has undertaken initiatives to identify and incorporate a stack of international and open standards for healthcare data. Data quality can only be achieved by adopting standards. Accordingly, the OpenEHR open data specifications are being used for defining the content and structure of the modules of the electronic health record using clinical modelling. Archetypes (“little data” clinical concepts) with their attributes and templates (on-screen forms) consisting of multiple archetypes are the foundation of the clinical modelling approach. Through a separate engagement, all data will be committed to an OpenEHR compliant Clinical Database Repository which will be a component of a Digital Health Open Platform. The Class 1 notification form, the case investigation forms and the laboratory form are being deconstructed and redesigned using this approach such that there will be a single form which sections. The data collection tool which will be deployed at the field level for all Class 1 Diseases will be based on Survey123 Connect. The data will be stored in the MOHW’s ArcGIS Enterprise Server which is now established. An array of dashboards/visualizations, reports and related analytics will be designed for consumption at national, regional and parish levels using ArcGIS application. The priority focus within epidemiological surveillance is HIV Surveillance. 
 
The Government of Jamaica has invested in the 
Environmental Systems Research Institute (ESRI) Geographic Information Systems applications which are available to the MOHW. In addition, the Jamaica Government’s Data Protection Act 2020 was passed during June 2020.

The MOHW is therefore seeking to identify an expert geospatial analyst specialising in healthcare applications to plan, design and implement a system for epidemiological surveillance using geospatial technologies.

 

2.     Objective(s)

1.     To establish an epidemiological surveillance system from end-to-end including data collection, dashboards, reports and analytics using available geospatial technologies and related tools.

2.     To build capacity for use of the geospatial tools among selected healthcare professionals.

 

3.     Scope of Work

  • Undertake a Class 1 notifiable diseases surveillance high level needs assessment including the numbers and types of users at all levels and factors that affect the capacity of the MOHW to maximise the Government’s investment in geospatial technology.
  • Document requirements for data collection and reporting for HIV and other Class 1 diseases
  • Document the procedures for personal health informaton protection from end-to-end beginning with field level data collection.
  • Collaborate with the Health Informatics/OpenEHR consultant in reviewing and advising on the templates designed for data collection.
  • Collaborate with the full stack software engineer in managing the existing database of HIV confidential reporting with a view to migration into the ArcGIS Enterprise server database.
  • Design an array of reports. dashboards/visualizations, 
  • Support the implementation of systems to ensure inter-operability of infrastructure for the collection, transmission, storage, analysis and visualization of HIV surveillance data/information
  • Collaborate with the data scientist to implement data quality control activities and reporting
  • Participate in the preparation of specifications for required hardware and software to implement the geospatila tools at all levels.
  • Ensure that end-to-end, the best practices for the protection of personal health information are documented and implemented.
  • Train selected staff and stakeholders in the use of data collection and reporting/visualization tools
  • Provide support to staff and stakeholders during and after the implementation of the solution. 
  • Prepare documentation as needed regarding processes and protocols implemented

 

4.     Responsibilities of the Ministry of Health and Wellness

The Ministry of Health and Wellness will provide access by the GIS Analyst to the relevant data and hardware and software tools to facilitate completion of specified tasks. The Ministry will also provide guidance and feedback to ensure adequacy of work outputs.

 

5.     Responsibility of the Contractor

The Contractor will ensure that (i) assigned tasks and regular duties are effectively carried out in accordance with the standards and principles of the Ministry of Health and Wellness (ii) support is provided to sub-national teams in a timely manner and (iii) confidentiality is maintained in the execution of duties.

 

6.     Accountability and Reporting Systems

Services will be contracted by the Ministry of Health and Wellness. The Contractor will report to the Medical Epidemiologist, Communicable Disease Surveillance, and will also work with the Principal Medical Officer, National Epidemiologist.

 

7.     Deliverables

  1. D1 – Detailed workplan
  2. D2 – Reports on needs assessment, requirements, personal health information protection from end-to-end
  3. D3 – Validate data collection templates
  4. D4 – Create data collection forms using Survey123 Connect; test and deploy at all levels using Survey123 App and web client for HIV Surveillance.
  5. D5 – Configure, design, implement and validate all reports, dashboards/visualizations, storyboards and other analytics per requirements using Survey123 and ArcGIS for HIV Surveillance.
  6. D6 – Provide D3, D4 and D5 for other Class 1 Diseases.
  7. D7 – Train healthcare professionals in development of data collection tools, creation of reports, dashboards/visualisations, analytics and storyboards using Survey123 Connect, ArcGIS, and related tools. 
  8. D8 – Final report including process documentation, user guides, support provided to end users and recommendations for sustainability.

 

8.     Schedule of Payments

Table 1.  Deliverables and due dates

Deliverable

Due

Amount due

D1 – Detailed work plan

Within two (2) weeks of signing contract

5%

D2 and D3 – Needs assessment,  requirements and personal health information protection and data collection templates validation reports – final version

Four (4) weeks after D1.

10%

D4 and D5 – Report on data collection forms deployed and reports, dashboards/visualizations and storyboards functional and validated for HIV Surveillance

Within four (4) weeks after D2 and D3

30%

D6 –  Report on data collection forms deployed and reports, dashboards/visualizations and storyboards functional and validated for other Class 1 Diseases

Within eight (8) weeks after D4 and D5 

30%

D7 – Report on Training

Within thirty (30) weeks after D6

15%

D8 – Final Report

Within (eleven (11) months after signing contract

10%

 

9.     Eligibility Requirements

The Contractor should have:

  • An undergraduate university degree in geography, computer science or an earth science, Urban & Regional Planning, Land Surveying, GIS or related discipline
  • A graduate degree in a computer science, biostatistics, GIS, Data Science, or other appropriate field
  • In depth knowledge of enterprise wide GIS systems development and management
  • At least 5 years experience in HealthGIS at the level of a sub-population or national level.
  • Ability to design, create, configure, manage, and maintain the operation of complex databases
  • Expertise in the configuration, use and management of ESRI suite of software  such as ArcGIS, ArcSDE, ArcGIS Enterprise Server, ArcGIS Online, Survey123 Connect and Collector
  • Basic knowledge of software programming languages such as Python

 

10.      Duration

The duration of the contract will be one year in the first instance. 

 

Proposals will be evaluated on the basis of :

 

Evaluation Criteria*

Max. Score

Actual Score

 

A graduate degree in a computer science, biostatistics, GIS, Data Science, or other appropriate field

20

 
 

Expertise in the configuration, use and management of ESRI suite of software  such as ArcGIS, ArcSDE, ArcGIS Enterprise Server, ArcGIS Online, Survey123 Connect and Collector

20

 
 

Experience in HealthGIS at the level of a sub-population or national level.

30

 
 

Experience with enterprise wide GIS systems development and management

20

 
 

Basic knowledge of software programming languages such as Python

10

 
 

Total Score

100

 

Candidate must attain a minimum mark of 70 to be considered

 

*Key: 1 year of experience = 10 points; persons with 3 years or more experience should get the maximum score