Avyantra Health Technologies

Helping the diagnosis of infants affected by neonatal sepsis using machine learning

Website: https://www.avyantra.com

Type of Digital Public Good

  • Open content
  • Open data
  • ✅  Open software
  • Open standard
  • Open AI model

1. Is it relevant to one of the Sustainable Development Goals?

2. Does it use an appropriate open license?

Yes, this project is licensed under the following license(s):

3. Is ownership clearly defined?

Is the ownership of the project and everything that the project produces clearly defined and documented?

Yes

If yes - please link to the relevant copyright, trademarks, or ownership documentation for the project.

https://drive.google.com/drive/folders/1bDbvRkc_kQatSCfLVX9LiczPzj7sI2Yn?usp=sharing

4. Does the license of libraries/dependencies undermine the openess of the project?

Does this open project have mandatory dependencies (i.e. libraries, hardware) that create more restrictions than the original license?

No

If yes - are the open source components able to demonstrate independence from the closed component(s) and/or are there functional, open alternatives?

Not Applicable

If yes - please describe how the open source components are independent and/or list the open alternatives for the closed component:

Not Applicable

5. Is there documentation?

Does some documentation exist of the source code, use cases, and/or functional requirements. For software projects, this should be present as technical documentation that would allow a technical person unfamiliar with the project to launch and run the software. For datasets and data projects, this should be present as documentation that describes all the fields in the set, and provides context on how the data was collected and how it should be interpreted. For content collections, this should indicate any relevant compatible apps, software, hardware required to access the content and any instructions about how to use it.

Yes

If yes - please link to the relevant documentation:

6. Is non PII data and/or content accessible?

Does this project collect or use non-personally identifiable information (non-PII) data and/or content?

No

If yes - is there a mechanism for extracting or importing non-personally identifiable information (non-PII) from the system in a non-proprietary format?

Not Applicable

If yes - describe the mechanism for extracting or importing non-personally identifiable information from the system in a non-proprietary format:

Not Applicable

7. Does the project adhere to privacy and other applicable international and domestic laws?

Has this project taken steps to ensure adherence with relevant privacy, domestic, and international laws? For example, the General Data Protection Regulation (GDPR) in the European Union or the Supplementary Act A/SA.1/01/10 on Personal Data Protection for the Economic Community of West African States (ECOWAS) (yes/no)

Yes

If yes, please list some of relevant laws that the project complies with:

  • In India, we currently do not have any legislation on Privacy Law but we are adhering to the standards followed for data privacy across the globe.
  • We are currently complying with collection of non-personal data as per global security norms such as Global data protection regulation (GDPR).

If yes, please describe the steps this project has taken to ensure adherence (include links to terms of service, privacy policy, or other relevant documentation):

Not Applicable

8. Does the project adhere to standards and best practices?

Does this project support standards? (i.e. Web Content Accessibility Guidelines (WCAG) 2.1 or other standards such as those listed on W3C)

Yes

Which standards does this project support (please list)

  • Avyantra is implemented using open-source standards and tools. It follows ISO/IEC/IEEE 12207 Systems and software engineering – as international standard for Software life cycle processes. We follow Software life cycle processes and methodologies such as iterative and agile methodology. Some of the key processes being followed are: Task planning, Project assessment and control, Decision management, Risk management, Configuration management, Information management, Measurement and Quality assurance

Can you point to evidence of your support? (i.e. please link to your validator, open test suite, etc.)

Was this project built and developed according to or in adherence with any design, technical and/or sector best practices or principles? i.e. the Principles for Digital Development?

Yes

Which principles and best practices does this project support (please list)

  • Avyantra is being built and developed with implementation of best practices and principles such as Principles For Digital development. Below are more details to support the claim:
  • 1. User Centric design: Application interface and design was undertaken after detailed discussion with the prospective users such as doctors and healthcare workers and their feedback were taken into consideration while framing the functional requirements.
  • 2. Understanding the ecosystem: Application was designed after doing research on the diagnostic principles and protocols used in the medical field for neonates. Several specialists and doctors were consulted during the algorithm as well as application development.
  • 3. Design for Scale: Our platform was designed for scalability both in terms of volume of users as well as extending usage for diagnosis of other critical medical conditions in neonates and for infants & children.
  • 4. Sustainability: The project is being undertaken with an objective of making diagnosis accurate, reliable, affordable, and sustainable with a well-defined business model.
  • 5. Data Driven: We have built the application with medical data collected directly from hospitals. The platform also enables the users to get key insights from the data to make right decisions for treatment and management.
  • 6. Open-Source Technology: Our application was built using open-source tools and technologies. The same have been made publicly available in GITHUB platform with the GNU license option. https://github.com/kvklrao/Avyantra_Presco_Project.
  • 7. Address privacy and security: We are following strict data privacy protocols during collection, processing and storage of data. Anonymous data of patients has been collected to ensure privacy. The platform has been built with multi-tier security protocols to prevent unauthorized access to patient data.
  • 8. Collaborative: The platform has been built with open source standards and the code base was made publicly available in GITHUB for collaboration with the global community of developers and users for improving features as well as adoption of the globally.

9. Does the project do no harm by design?

Has this project taken steps to anticipate, prevent and do no harm by design?

On the whole, does this project take steps to ensure that it anticipates, prevents and does no harm by design?

Yes

Is there any additional information you would like to share about the mechanisms, processes or policies that this project uses to avoid doing harm by design?

Avyantra takes the following steps to anticipate, prevent and do harm:
1. Multiple authentications to ensure genuine users are granted permission to use the application. Stringent testing & validation is being done to ensure the output of the application is accurate.
2. Minimal data on patient or user personal profile is gathered by the application. Security protocols are implemented on our cloud platform to prevent unauthorized access to the application.

9.a. Data Privacy & Security

Does this project collect or store personally identifiable information (PII) data and/or content?

Yes

If yes - please list the types of data and/or content collected and/or stored by the project:

  • We are collecting date and place of birth of a baby/infant and no other information that can be linked or identified to the person.

If yes - does this project share this data and/or content with third parties?

No

Please describe the circumstances with which this project shares data and/or content with third parties. Please add links as relevant.

Not Applicable

If yes - does the project ensure the privacy, security and integrity of this data and/or content collection and has it taken steps to prevent adverse impacts resulting from its collection, storage and distribution.

Yes

If yes - please describe the steps, and include a link to the privacy policy and/or terms of service:

We are collecting anonymized data (clinical data of patients) with prior approvals and clearances from hospitals.

9.b. Inappropriate & Illegal Content

Does this project collect, store or distribute content?

No

If yes - what kinds of content does this project, collect, store or distribute? (i.e. childrens books)

Not Applicable

If yes - does this project have policies that describe what is considered innappropriate content? (i.e. child sexual abuse materials)

Not Applicable

If yes - please link to the relevant policy/guidelines/documentation.

Not Applicable

If yes - does this project have policies and processes for detecting and moderating innappropriate/illegal content?

No

If yes - please describe the policies and processes for detecting, reporting and removing innapropriate/illegal content (Please include the average response time for assessment and/or action. Link to any policies or descriptions of how inappropriate content is handled):

This project does not collect, store or distribute content

9.c. Protection from harassment

Does this project facilitate interactions with or between users or contributors?

Yes

If yes - does the project take steps to address the safety and security of underage users?

Yes

If yes - please describe the steps this project takes to address risk or prevent access by underage users:

  • Avyantra is used by doctors, healthcare workers, neonatal specialists etc. They are all above the age of 18 years. Users who login are authenticated with their mobile phone or email Id as well. Age profile of Users is therefore not a concern.
  • Avyantra has a two-factor authentication of users. In the first step, the user profile is screened, and approval is granted by us. In the second step, a One-Time Password (OTP) is sent to the user’s mobile for accessing the application. With these two steps, we are ensuring that we provide access to the right user and not to underage or wrong users.

If yes - does the project help users and contributors protect themselves against grief, abuse, and harassment?

Yes

If yes - please describe the steps taken to help users protect themselves.

  • We have strict data access security guidelines and protocols to ensure privacy of user data as well as the patient data. First, we have so far not collected any personal data of patients that would help in tracing back their identity. Second, data of users is not shared with any external agent, or any cross-user interaction allowed.
  • Our application has a multi-layer security protocol to prevent hacking.

Development & deployment countries

List of countries this project was developed in.

  • India

List of countries this project is actively deployed in.

  • India