HDS-Explorer its a server-client application designed from its core provide to be a free and open-source data collection and data repository for health and demographics surveillance system.
The application can be found on public repository on Github and through Google Play Store.
Allow easy implementation of a site-level Id schemes customization, enables each site to reuse their previous codes on Regions, Households and Members.
Supports editing Region, Households and Members atributtes on Mobile app and synhcronize later the edited datasets with the server.
Using the Server web-app, its possible to visualize errors and edit records with correct values and synchronize the data.
With a User Friendly UI, you can easily navigate through the HDSS datasets, and perform multiple research forms data collection.
Create Form definitions and use HDSS
data to preload data to ODK Forms.
Ability to group ODK Forms as one (Allow to split large forms into smaller and mantaining a link between them).
Fast access to explore demographics surveillance data powered by a light NoSQL Database in the Mobile App.
Ability to visualize studies datasets on Mobile App and pre-populate data into Electronics Forms (ODK).
Grant access on data (Region, Household, Member, Forms) to a specific group of Users (that belongs a study).
Pre-register Regions or Households and share the datasets with other near devices (helps to avoid duplications).
Setup Region
Hierarchies
Create Users
(Data managers and Fieldworkers)
Compress data
for Mobile Synchronization
Login to Synchronize
Select Study Module
Search by Households
Select Region Hierarchies
Add new Household
(Fill Household and Visit Registration Form)
Add Members
(add members and execute other HDSS events)
Upload Data
- Health and Demographics Surveillance
Systems (HDSS) allow accurate electronic
data capture.
- HDSS facilitate the understanding of local
community health issues.
- Widely used HDSS do not work well in
resource-limited settings.
- HDS Explorer works offline, supports
multiple Android versions.
- Further, it seamlessly integrates with any
version of Open Data Kit (ODK).
- Aimed to assess usability of the HDS
Explorer in resource-limited settings in
Southern Malawi.
Evaluated system benchmarks:
- Synchronization speed
- Data compression
- Data validation accuracy
- Ability to manage questionnaire
- Interoperability
- Manages participant follow-ups.
The system was assessed in the managing of:
- Cross-sectional census
- Surveillance studies capturing about 6,000 individual health center visits
- 10 community and hospital-based cohort studies including 102,804 subjects.
- HDS Explorer integrated with ODK and prevents missed and repeated eCRFs and missed follow-up visits.
- Synchronization was fast. Validation scripts prevented capture and synchronization of incorrect data.
- It was easy to learn.
- Thanks to its data compression algorithms it keeps information of key demographic events throughout one’s life span.
- Media files allowed real-time queries based on longitudinal data, for accurately capturing anthropometric measures.
- Health and Demographics Surveillance
Systems (HDSS) allow accurate electronic
data capture.
- HDSS facilitate the understanding of local
community health issues.
- Widely used HDSS do not work well in
resource-limited settings.
- HDS Explorer works offline, supports
multiple Android versions.
- Further, it seamlessly integrates with any
version of Open Data Kit (ODK).
- Aimed to assess usability of the HDS
Explorer in resource-limited settings in
Southern Malawi.
Evaluated system benchmarks:
- Synchronization speed
- Data compression
- Data validation accuracy
- Ability to manage questionnaire
- Interoperability
- Manages participant follow-ups.
The system was assessed in the managing of:
- Cross-sectional census
- Surveillance studies capturing about 6,000 individual health center visits
- 10 community and hospital-based cohort studies including 102,804 subjects.
- HDS Explorer integrated with ODK and prevents missed and repeated eCRFs and missed follow-up visits.
- Synchronization was fast. Validation scripts prevented capture and synchronization of incorrect data.
- It was easy to learn.
- Thanks to its data compression algorithms it keeps information of key demographic events throughout one’s life span.
- Media files allowed real-time queries based on longitudinal data, for accurately capturing anthropometric measures.
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Creator of HDS-Explorer and the
main developer of this application.
Responsible for designing app
dashboard and help with
coding.
Responsible for the all UI and Brand Concept and design of the application.
Product manager and entrepreneuer recognized for his work with several awards and media appearances.
If you are interested in this software solution and would like to
our team to walk you through the application and see it in action, you can request a demo clicking the
button bellow and see if it answers to the needs of
your instituton
If you have any other questions related to this software, you can leave us a message and we will get back to you.
