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Health and Accesibility Thesis

Use Cases in Health

Written by

Gopi⁠

Luv⁠

Tanvi⁠

⁠

Preventative and Curative Care

AI has the potential to improve healthcare access, outcomes and cost of care for previously underserved communities and disease areas relevant to India.

⭐️ AI can bridge the healthcare access gap in India.

India's vast geography and uneven distribution of healthcare resources create significant access challenges. With a population of over 1.4 billion, and a doctor-patient ratio of 1:1446 (ICMR), the country grapples with a severe shortage of healthcare resources. With over 700 million smartphone users, including 425 million in rural areas (WEF data), India has a vast user base that can benefit from smartphone-based AI applications to address the access gap:

Telemedicine powered by AI can bring expert medical care to remote areas, reducing the need for physical infrastructure. AI-based mobile solutions further scale this reach without incremental costs. Chatbots and virtual health assistants, for instance, can provide 24/7 basic health information and triage, reducing the burden on healthcare facilities.

Takeaways:

AI-powered tech solutions can democratise healthcare access in India by leveraging the country's high smartphone penetration.

Early detection and diagnosis increases access to high-quality intervention earlier in the lifecycle of the health issue.

⭐️AI can help reduce healthcare operation costs.

In India, healthcare systems spend a significant portion of their budget on operational expenses.

AI Application

Description

Impact

Improving provider productivity

AI assists doctors in tasks such as documentation, coding, and billing, allowing them to focus more on patient care.

Reduces the 27% of time doctors spend on administrative tasks, improving productivity.

Predictive analytics for inventory management

Optimizes resource allocation and reduces waste, leading to a 20-30% reduction in healthcare supply chain costs.

Leads to significant cost savings in supply chain management.

Intelligent scheduling systems

Optimizes patient flow and reduces wait times in hospitals.

Enhances patient experience by reducing wait times.

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Takeaways:

Using AI at various points in the value chain could reduce operational costs.

This reduction in provider-related costs could result in lowering of healthcare expenses for patients.

⭐️ AI can drive inclusivity in Indian healthcare

India's diverse population presents unique challenges in delivering equitable healthcare. AI can promote inclusivity by:

Overcoming gender-specific barriers by providing secure, privacy compliant AI solutions where certain communities feel liberated to seek care. For example, women might be more willing to talk about women-specific issues to an AI gynaecologist rather than a male physician. [Source: Pinky Promise]

Personalising treatment plans based on genetic, environmental, and lifestyle factors specific to different Indian communities.[

link⁠

]

AI-powered preventive approaches in mental health can be more cost-effective than curative care, providing pre- and post-therapy support, reducing practitioner burden, and enhancing the reach and efficiency of mental health services

Takeaways:

Indian communities could be better represented in clinical data sets and solutions developed in the West.

For delicate therapy areas that require confidentiality and trust-building, generative AI could help build empathetic and secure tools.

⭐️AI presents an opportunity for India to become a global leader in health-tech innovation

Talent: India's strong talent pool and growing startup ecosystem position it uniquely to leverage AI in healthcare.

Policy support: Government initiatives like Digital India and ABDM are laying the groundwork for the smooth adoption and scaling of AI-powered solutions in healthcare by creating a unified health infrastructure.

Regulatory environment: India is a great innovation sandbox which allows for quick design cycles, access to clinical subjects.

Takeaway:

India has the opportunity to not only address its own healthcare challenges but also emerge as a global leader in AI-driven health-tech innovation, exporting solutions to other countries facing similar challenges.

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Thought Partners/Collaborators:

Qure.ai

Qure.ai is a leading innovator in the field of healthcare AI, revolutionizing radiology by utilizing deep learning technology to enhance the accuracy and efficiency of medical imaging. Their AI-powered tools assist in the interpretation of X-rays, CT scans, and ultrasounds, which enables faster diagnosis and treatment, particularly in resource-constrained settings. Qure.ai's solutions are designed to assist radiologists in identifying diseases like lung cancer, tuberculosis, and stroke, helping to bridge gaps in healthcare accessibility, especially in rural areas. By integrating with existing healthcare systems, Qure.ai enhances diagnostic workflows and enables personalized patient care, making healthcare more affordable and effective globally. Learn more about their transformative work

here⁠

Mave Health Mave Health is at the forefront of transforming mental healthcare in India through innovative, brain-based therapies enhanced by artificial intelligence. They offer wearable, non-invasive brain stimulation (NIBS) technologies, such as their flagship product, ARC-tDCS, to treat mental health conditions like depression, anxiety, and OCD. Leveraging AI algorithms, Mave Health analyzes patient data to personalize treatment plans, optimizing the effectiveness of their therapies. This drug-free treatment has been clinically tested at institutions like AIIMS and NIMHANS and is India’s first wearable device designed to improve mental health without side effects. Mave Health’s 12-week personalized programs integrate this technology with holistic care approaches, providing a practical, side-effect-free alternative to traditional treatments. Their mission is to make mental healthcare more accessible and effective by seamlessly incorporating science-backed interventions and AI-driven personalization into patients' daily lives. You can learn more about their groundbreaking work

here⁠

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Accessibility

Accessibility always entails a cost. AI can help in reducing this cost and democratize accessibility in India.

Lay of the Land

In the following section, we have explained the disparities in the Disabilities area and tried to answer the following questions:

Which problems can AI help with ?

How can AI help in these areas ?

Disability areas

Blindness

Deafness

Neurodiverse disabilities

Motor disabilities

Lack of accessibility in India

Daily commuting hassles, difficulty in accessing office buildings or educational institutions, toilets; difficulty in understanding and lack of accessibility in communication to engage effectively, or a lack of study materials in Braille and lack of captioned videos or lack of real-time captioning and interpretation services in classrooms, public establishments, and events – these are all reasons for people with disabilities opting out of opportunities that should be equally available to them.

They often constitute an invisible community in India, pushed to the sidelines due to a lack of understanding of accessibility needs across diverse spectrums within these communities.

⭐️ AI for early intervention in language learning and reasoning capability development

For building skills, learning by communicating with others, functioning in society and leading a healthy life language learning and reasoning capability should be developed from an early age. In Indian families, especially underprivileged families the language learning and reasoning capability development of kids with disabilities like deafness and neurodiverse disabilities is delayed.

Early speech therapy and interventions such as enabling them with Cochlear implants, and hearing devices as per their hearing loss spectrum can help deaf children speak. Rural India and tier 2-3 cities lacks speech therapy services compared to urban areas.

AI-powered mobile tools like

Timlogo⁠

(for Romania) analyze children's pronunciation and recommend exercises to improve speech.

Imagine the impact that Timlogo alternatives for Indian languages could have on disabled children in India ?

⭐️ AI for education and employability of disabled community

There are 78.64 lakh children with disabilities in India. The school dropout rate for children with disabilities is as high as 12 per cent. As many as 27 per cent have never been enrolled in any educational institution.

Why? Lack of accessible school buildings, lack of accessible learning materials, lack of training for faculties to learn how to teach and help disabled kids.

This

article by LLM agent platform spring⁠

talks about how AI systems like ChatGPT , Llama...etc could be used to generate custom learning contents for those with special needs and how these AIs can analyze student performance for tutors to plan out the special needs of students. These capabilities will reduce the cost for providing accessibility in education institutions and learning.

AI systems tailored for the Indian context will open doors of schools and universities to disabled students in all kinds of ways!

⭐️ AI for accessibility in livelihood issues

Buildings are not constructed in a disabled-friendly manner. For instance, there are instances where ramps are absent, and easily accessible toilets for the disabled are lacking. Navigating inside the building is generally challenging for blind individuals. Also Many public establishments such as airports, banks, railway stations and hospitals lack tools to assist the deaf and hard of hearing.

Major reasons why buildings and cities are not designed for disabled might be lack of awareness and the additional costs required to design them in a disabled friendly way.

⁠

LLPlace⁠

and

LayoutGPT⁠

already help create or edit indoor layouts with prompts. What if Multi-modal LLMs like this fine-tuned for Indian context can automate designing accessibility-friendly building plans for India ?

⭐️ AI for accessibility in workplace

People with disabilities face significant challenges in accessing physical meetings and work tools. Physical meetings lack captions, and interfaces to communicate back making them inaccessible to deaf and hard-of-hearing individuals. Additionally, many software and tools used in the workplace are not accessible to people with various disabilities, including motor disabilities and blindness.

Copilots and code generation models are already helping disabled coders with motor disabilities, blindness,...etc to code. In a similar way AI can be used to make other tools accessible to the blind, deaf and people having motor disabilities across different job profiles, roles and environments.

Thought Partners/Collaborators:

Oorjja

Oorjja is an organization dedicated to empowering and supporting the differently-abled community. It is a community of experts, organizations, and differently-abled young minds who work together to enable people with special needs to have easier lives. Oorjja aims to bridge the gap between the struggles and success of the differently-abled by unveiling the realities of the practical world and guiding them to become an integral part of it. The organization encourages direct inquiry-based learning and provides mentors to assist the trainees when needed.

Oorjja stands as an aggregator for platforms that engage with the organization to benefit the differently-abled community. It has mentors, companies, and organizations that support its journey to empowerment, creating an ecosystem that supports each other. Read more about Oorjja

here⁠

I’ve read this far

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Here’s How You Can Join:

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CHECK OUT ACCESSIBILITY PROJECTS

⁠

SEE HOW YOU CAN CONTRIBUTE

⁠

JOIN AS A PARTNER ORGANISATION

⁠

JOIN OUR COMMUNITY

⁠

JOIN OUR EVENTS

⁠

SUBSCRIBE TO UPDATES

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Notes

What safeguards need to be put in place to protect patient privacy and data security when implementing AI-driven healthcare solutions in India?

Open

How can we ensure that AI-powered healthcare solutions are accessible to rural and low-income populations in India?

Open

What strategies can be employed to integrate traditional Indian medicine (Ayurveda, Yoga, etc.) with AI-powered healthcare solutions?

Open

How can we ensure that AI algorithms used in healthcare are free from cultural, gender, or socioeconomic biases?

Open

What strategies can be employed to gather high-quality, diverse datasets for training AI in health, like mental health, while respecting patient privacy?

Open

How can we help entrepreneurs and open source developers find relevant AI accessibility use cases for India ?

Open

What are the important privacy safeguards needs to be put in place while building AI accessibility tech ?

Open

What all ways do you think AI can making education and schools accessible to people with disabilities ?

Open

Open

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Potential bottlenecks

Getting good datasets, especially in the Indian context, is the need of the hour to provide culturally relevant interventions in health and accessibility

Computer vision (image and video related AI solutions) require higher volumes of data storage and might be costly.

India's linguistic diversity poses a significant challenge in developing AI solutions that can effectively communicate across multiple languages and dialects.

Gender disparity between men and women’s usage of smartphones (only 29% of women use smartphones compared to 71% of men (NSSO data)).

Right now (unfortunately) people who are facing various disabilities and some of the organizations working on empowering them are the people who understand what all are the problems faced by people with disabilities in India.

Accessibility products and capabilities that need only minimal processing power and that work without the internet is required.

Questions to further probe

How might the widespread adoption of AI in healthcare impact the role and training of human healthcare professionals in India, and what strategies should be employed to ensure a complementary rather than competitive relationship? [empowering AAA's - ASHA, Anganwadi, Auxiliary nurse and parents, caretakers of disabled persons]

Are there certain disease areas and conditions which would particularly benefit from AI? For eg: what role can AI play in addressing the stigma associated with mental health in Indian society, particularly in promoting awareness and normalising help-seeking behaviors?

In what ways can AI be leveraged to address India's unique public health challenges, such as managing infectious diseases outbreaks or improving maternal and child health outcomes in rural areas?

How can AI technologies be utilized to support the mental health of specific vulnerable groups in India, such as farmers, migrant workers, or victims of domestic violence?

What approaches can be developed to use AI in identifying and mitigating the mental health impacts of large-scale societal issues in India, such as climate change, economic instability, or social unrest.

How much research startups, big companies and open source projects do before building accessibility features and products ?

Appendix

References:

[link]⁠

⁠

[

link⁠

]

Partnership Doc

Please access all partner organisations here using this Link -

Partnerships Doc⁠

⁠

Calendar Doc

Please access calendar here using this Link -

Health and Accessibility Calendar⁠

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Preventative and Curative Care

⭐️ AI can bridge the healthcare access gap in India.

Takeaways:

⭐️AI can help reduce healthcare operation costs.

Takeaways:

⭐️ AI can drive inclusivity in Indian healthcare

Takeaways:

⭐️AI presents an opportunity for India to become a global leader in health-tech innovation

Takeaway:

How do you feel about the writeup?

Thought Partners/Collaborators:

Here’s How You Can Join:

Accessibility

Lay of the Land

Disability areas

Lack of accessibility in India

⭐️ AI for early intervention in language learning and reasoning capability development

Imagine the impact that Timlogo alternatives for Indian languages could have on disabled children in India ?

⭐️ AI for education and employability of disabled community

Why? Lack of accessible school buildings, lack of accessible learning materials, lack of training for faculties to learn how to teach and help disabled kids.

AI systems tailored for the Indian context will open doors of schools and universities to disabled students in all kinds of ways!

⭐️ AI for accessibility in livelihood issues

Major reasons why buildings and cities are not designed for disabled might be lack of awareness and the additional costs required to design them in a disabled friendly way.

⭐️ AI for accessibility in workplace

Thought Partners/Collaborators:

Here’s How You Can Join:

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Appendix

Partnership Doc

Calendar Doc

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Health and Accesibility Thesis

Preventative and Curative Care

⭐️ AI can bridge the healthcare access gap in India.

Takeaways:

⭐️AI can help reduce healthcare operation costs.

Takeaways:

⭐️ AI can drive inclusivity in Indian healthcare

Takeaways:

⭐️AI presents an opportunity for India to become a global leader in health-tech innovation

Takeaway:

How do you feel about the writeup?

Thought Partners/Collaborators:

Here’s How You Can Join:

Accessibility

Lay of the Land

Disability areas

Lack of accessibility in India

⭐️ AI for early intervention in language learning and reasoning capability development

Imagine the impact that Timlogo alternatives for Indian languages could have on disabled children in India ?

⭐️ AI for education and employability of disabled community

Why? Lack of accessible school buildings, lack of accessible learning materials, lack of training for faculties to learn how to teach and help disabled kids.

AI systems tailored for the Indian context will open doors of schools and universities to disabled students in all kinds of ways!

⭐️ AI for accessibility in livelihood issues

Major reasons why buildings and cities are not designed for disabled might be lack of awareness and the additional costs required to design them in a disabled friendly way.

⭐️ AI for accessibility in workplace

Thought Partners/Collaborators:

Here’s How You Can Join:

Done reading? ⁠⁠

How do you feel about the writeup?

Topics for discussion

Potential bottlenecks

Questions to further probe

Appendix

Partnership Doc

Calendar Doc

Done reading?
⁠
⁠