TRANSFORMING HEALTHCARE IN INDIA THROUGH ARTIFICIAL INTELLIGENCE BY - SHABIH FATIMA
TRANSFORMING HEALTHCARE IN INDIA THROUGH ARTIFICIAL
INTELLIGENCE
AUTHORED BY - SHABIH FATIMA
Abstract
The healthcare sector in India is
experiencing a significant transformation due to the implementation of
Artificial Intelligence (AI) in its various aspects. AI's role in healthcare
spans across diagnostics, treatment, drug discovery, and patient care, thereby
enhancing the quality of healthcare delivery and reducing costs. With its magic
being spread all over the globe, it is important to analyse its potential and
the possible obstructions it is facing in the present time. This article will
explore the various applications of AI in the Indian healthcare sector and
discuss its potential in addressing the country's unique challenges. It will
further delve into the main legal drawbacks for the use of AI in India's
healthcare and examine the challenges in establishing liability and
accountability for AI in India's healthcare sector and propose recommendations
and suggestions which could possibly be potential solutions to address these
concerns.
1.
Introduction
Today, healthcare is one of those
areas where we are seeking the most success. Life expectancy has increased
globally due to significant advancements in medical technology, but as people
live longer, healthcare systems must contend with expanding patient demand,
rising expenditures, and a staff that is stretched thin. It is expensive to
manage these patients, and systems must change from a mindset of episodic care
to one that is considerably more pro-active and centered on long term care.
Without a transformational change, the healthcare system would come at the
hands of struggle to thrive and be sustainable in this changing universe. The
global economy could foreseeably generate 40 million new employments in the
health industry by 2030, but the World Health Organization projects that there
will still be a global shortage of 9.9 million doctors, nurses, and midwives at
that time. Health systems also require a larger workforce.[1] In
addition to recruiting, educating, and keeping more healthcare professionals,
we also need to make sure that they are spending their time on what matters
most—care for patients.
In this era of technological
revolution where Artificial Intelligence is taking a boost over almost all the
industries around the globe, it is important to highlight and explore its vast
scope in the healthcare sector. AI is something which is seen as similar to
human intellect. It is intended to be a technological interface that enables a
machine to perform a task that "feels" human. Artificial intelligence
(AI) is the use of programmable computer software routines (algorithms) with
precise instructions to carry out tasks that a human brain is typically thought
to be required for. Such software can assist users in comprehending and
processing language, identifying noises and objects, and using learning
patterns to solve issues. An algorithm can be constantly improved using machine
learning (ML). In order to update the algorithm and increase the artificial
intelligence's accuracy, the refinement process uses a lot of data and is
carried out automatically.[2] By drawing new and significant insights from
the huge quantity of data generated on a daily basis, AI and Machine Learning
(ML) based- technologies have the potential to revolutionize the healthcare
sector for the greater good. AI has brought about a significant impact in
health sector, changing the patterns of how we can identify, cure and monitor
the patients. Not only the scope lies in cure of the diseases but AI can also make
prevention of diseases a better run task too. It has the power to enhance and
the effectiveness and productivity of care delivery. More time can be given to
looking after patients which would help medical practitioners be more
efficient. The COVID-19 viral pandemic, which from early 2020 drove the world
into a public health catastrophe of unparalleled proportions, has given
additional urgency to the need for investigating the potential prospects and
risks of using AI systems for healthcare reasons.
However, with the optimistic approach
with which inclusion of AI in healthcare is to be considered, the fact that, since
AI is still in its infancy, its long-term effects are unknown. Future uses of
AI could fundamentally alter how healthcare is provided, how innovation is
approached, and how each of us views our own health. We can see a moment in the
future when population-level data from wearables and implants will transform
our knowledge of human biology and the mechanisms underlying the action of
medications, enabling personalized and real-time care for all. Despite the
uncertainties surrounding the final scope of applications for new technologies,
there are some short-term opportunities and initiatives that may be taken to
help health practitioners and systems more quickly benefit from advancements in
AI.
In India, AI is making deep strides
in the sector of healthcare. Google, Microsoft and Siemens as well as other
startups in India are working progressively to introduce AI solutions to
enhance the already existing country’s healthcare needs of the hour. Global
observers anticipate that India's unsustainable patient-to-doctor ratio will
push the government to more quickly integrate AI and Deep Learning (DL) into
its current diagnosis and treatment procedures.[3]
Even while AI development is India's
best chance to maintain its healthcare system, a lack of a strong legal
framework and a visionless application of AI medical technology will simply
exacerbate the crisis rather than help it. The question over here arises that
with such efficient technologies available at the present day in the country
which could enhance the healthcare sector progressively, we lack a legislation
which covers the legal aspects of use of AI, its processes, its end result, the
liability, data use, security and privacy.
With such advance technologies being
incorporated in healthcare sector in India, there comes a number of challenges
along with the legal conundrum that needs attention. While AI may enhance
Indian healthcare, it won't be a quick remedy for the country's existing
complicated healthcare system, which involves many different components,
conflicting objectives, ingrained incentive structures, and institutional
cultures.
Therefore, the understanding of
incorporation of AI in healthcare sector in India along with a closer view to
the challenges and risks involved in the development, adoption and deployment
of AI is beneficial to understand the lacuna prevalent in the Indian
Legislation to deal with such kinds of scientific advancements in healthcare.
Objective
of the Study
The objectives of the study are:
a) To
understand the concept of use of AI in healthcare sector.
b) To
understand the application of AI in healthcare sector in India.
c) To
understand the challenges faced by AI in healthcare sector in India.
d) To propose
suggestions for possible solutions to the problems faced by AI in healthcare
sector in India.
Hypothesis
Based on intensive research the researchers have framed the
following Hypothesis:
H01: Inspite of being a beneficial technological advancement,
use of AI in healthcare sector face a lot of challenges and risks in India.
H02: There is a legal conundrum in using AI in healthcare
sector in India with poor regulatory framework.
Research
Methodology
The methodology opted for carrying
out this research paper is doctrinal. It was difficult for the author to
conduct empirical study. So, a doctrinal research with the help of both primary
and secondary data is used. In primary data, the author has analysed various
legislations. In secondary data, the author has analysed scholarly articles and
research papers to get hold of the present applications and challenges in the
use of AI in healthcare sector.
Research
Questions
There are a few research questions
around which the present piece revolves which are as followed:
1.
What is the application of AI in healthcare sector and
how it is beneficial?
2.
What is the scenario of use of AI in healthcare sector
in India?
3.
What are the legal challenges that use of AI in
healthcare sector in India is currently facing?
4.
Whether a highly beneficial technological improvement
be considered as not acceptable only because it does not fit into the existing
legal framework?
2. Understanding AI in Healthcare
The World
Economic Forum has suggested four ways artificial intelligence can make
healthcare more efficient and affordable: enable customized treatment plans
that improve patient outcomes, thereby reducing costs associated with treatment
complications; enabling better and earlier diagnosis that reduces human error;
enabling accelerated drug development; and enable patients to take a more
active role in managing their health.[4] The
potential savings that AI would bring to the healthcare sector is also a
parameter that cannot be ignored. The utmost goal of having a great healthcare
sector is achievable by given the most importance to care for the patients, AI
in healthcare would be in a way lead to liberation of health workers from
menial tasks and focus completely on patient care. This would also eventually
lead to the medical practitioners to assess the patients closely and precisely
which would lead to more accurate diagnosis. Use of AI for Administrative
purpose is another facet which is important to highlight while talking about
its other advantages. Doctors, nurses, and other healthcare professionals will
be relieved of the laborious tasks that contribute to burnout, thereby also
reducing human error in medical practice.[5] According
to Accenture, the benefits of artificial intelligence are increasing
incrementally, from automated surgeries, precision surgery and preventive
interventions (thanks to predictive diagnostics) and are expected to
fundamentally transform the field of healthcare within a decade.[6]
The definition of Artificial
Intelligence is evolving. It includes Machine Learning (ML), natural language
processing, speech recognition, robotics, systemization, optimization, decision
making algorithm that resembles a human expert, all of this done under Deep
Learning (DL) Mechanism. The most often used strategy for contemporary AI
healthcare applications is machine learning (ML), a subset of AI that enables
computational systems to learn from data and improve their performance without
being explicitly programmed. A branch of
machine learning called deep learning uses multiple-layered artificial neural
networks to find patterns in very large datasets.[7] Artificial
intelligence that uses deep learning focuses on algorithms that let computers
adapt and learn from new data without having to be reprogrammed. More
specifically, it refers to methods that enable machines to independently
imitate human thought patterns using artificial neural networks made of
information-cascading layers. To understand the solutions developed by AI in
the health sector, it is important to understand AI under the heads Descriptive
AI and Predictive AI.
Descriptive AI: In terms of immediate
potential, descriptive AI is being applied most frequently in healthcare
technologies. It quantifies past occurrences and makes use of this information
to draw additional conclusions, such as identifying trends and minute
alterations that could otherwise go undetected by medical experts.
Predictive AI: The goal of predictive
AI is to forecast the future using descriptive data. Medical experts employ AI
to offer insights and make action suggestions in a foresighted manner.
Predictive healthcare technologies and hospital administration can both benefit
greatly from AI. In triage, which is the process of ranking patients' therapies
according to the seriousness of their conditions, predictive AI can be applied.[8] Predictive AI's ability to make decisions
makes it the most intriguing and divisive use case in the near future,
dramatically enhancing clinician productivity, capacity, and quality of treatment.[9]
Analysis of
existent AI Medical Devices in India
In India, while technology that could
replace doctors have the least probability of success, assistive AI has the
greatest development potential, in part due to conflicts of interest among the
medical establishment. India is a host
to many startups and large scale companies which are harnessing AI solutions in
healthcare using both the Descriptive AI as well as Predictive AI algorithms. A
review of the existent AI solutions in healthcare gives a picture of how Deep
Learning Mechanism of AI is coming handy in healthcare. India, a rapidly developing nation, is now
leveraging the power of Artificial Intelligence (AI) to improve its healthcare
sector. AI has immense potential in the healthcare industry, and in a country
like India, with its vast population and varying socioeconomic conditions, the
use of AI can revolutionize healthcare delivery, accessibility, and
affordability. Enhanced Diagnostics
AI has significantly improved
diagnostic capabilities by assisting medical professionals in accurately
identifying diseases and conditions. AI-powered tools like machine learning
algorithms can analyze large volumes of medical images and data, such as
X-rays, CT scans, and MRIs, to detect patterns that might be missed by the
human eye. In India, AI is being used to diagnose conditions like diabetic
retinopathy, tuberculosis, and various types of cancer more effectively and
efficiently.
Predictive
Analytics
Predictive analytics using AI can
help in the early detection of potential health issues and aid in preventing
the spread of infectious diseases. India has already started leveraging AI to
predict and manage disease outbreaks like dengue and malaria. AI-driven
predictive models can also identify high-risk individuals who may require
additional medical attention or intervention, ensuring that resources are
allocated effectively.
Telemedicine
and Remote Monitoring
With the current limitations in
healthcare infrastructure and a shortage of trained medical professionals in
India, telemedicine and remote monitoring have emerged as critical tools in
bridging the gap. AI-powered applications can facilitate remote consultations
with medical professionals, enabling patients in rural areas to access quality
healthcare without traveling long distances. Additionally, AI-enabled wearables
and devices can monitor vital signs and alert doctors if any significant
changes are detected.
Drug
Discovery and Development
AI has the potential to expedite drug
discovery and development, reducing the time and cost involved in the process.
In India, pharmaceutical companies and research institutions are utilizing AI
to analyze data, identify potential drug candidates, and predict their
effectiveness. This approach can result in a faster delivery of life-saving
drugs and therapies to patients.
Healthcare
Chatbots
AI-powered chatbots are being used in
India to provide instant medical advice and support to users. These chatbots
can answer health-related questions, schedule appointments, and even provide
reminders for medication. With the ability to communicate in multiple
languages, healthcare chatbots have the potential to provide essential
healthcare information and assistance to millions of people across the country.
Few successful AI solutions in
healthcare sector in India are enumerated herein to understand the scope and
extreme potential of it bring success to the medical fraternity.
Thermalytix, an artificial
intelligence-powered computer-aided diagnostic engine is the main component of Niramai
Health Analytix which uses thermal analysis and machine intelligence driven
automated device to detect early stages of breast cancer.[10]
Advenio Tecnosys diagnoses Tuberculosis from chest
X-Rays and uses ultrasound pictures to detect chest infections by giving
solution by using a high -resolution thermal sensor device and tool with cloud
hosted analytics for analysing the thermal images.[11]
Qure.ai diagnoses diseases and recommends
personalized data plans by using deep learning technology on healthcare imaging
data.[12]
Through a smartphone app, Cureskin
can identify and diagnose six different types of common skin issues, including
pimples, acne, scars, dark spots, pigmentation, and dark circles. It asserts
that for the six skin disorders it currently treats, the accuracy of its deep
learning algorithms is at dermatologist level.[13]
Such AI devices are already in use in
India and have gain progressive outcomes. India is among the top 20 markets for
medical equipment in the world. In Asia, it ranks fourth in terms of market
size for medical devices, behind South Korea, China, and Japan. The automatic route allows for up to 100% of
Foreign Direct Investment (FDI) in medical devices. The majority of the equipment
used in the manufacturing of medical devices is imported, with foreign sources
accounting for around 75% of the total.[14] Between
2011–12 and 2014–15, both medical equipment imports and exports increased by
more than 10% (according to a report by the department of pharmaceuticals).
With a compound annual growth rate (CAGR) of 15.8%, the country's medical
devices business increased from $2.02 billion in 2009 to $3.9 billion in 2015.[15]
However, even after these
advancements, there are still a lot of challenges at the hand of the use of AI
in healthcare sector which are needed to be addressed in the light of legal as
well as other aspects.
Challenges
and Future Outlook
Despite the numerous benefits that AI
brings to the healthcare sector in India, there are challenges that need to be
addressed. These include the availability of quality healthcare data, privacy
concerns, and the digital divide between urban and rural areas. Moreover, AI algorithms
need to be developed with cultural and regional diversity in mind to ensure
equitable access and benefits.
To overcome these challenges, the
government, private sector, and academia must work together to create an
ecosystem that encourages research, innovation, and the ethical use of AI in
healthcare. By prioritizing AI integration and addressing these challenges,
India has the potential to transform its healthcare sector and improve the
quality of life for its citizens.
3.
Navigation Legal Conundrum: AI in Medical Sector in
India
The rapid advancement of Artificial
Intelligence (AI) in the Indian healthcare sector presents numerous benefits,
such as improved diagnostics, personalized medicine, and efficient resource
allocation. However, the integration of AI in healthcare also raises several
legal concerns that need to be addressed to ensure its responsible and ethical
deployment. This article will delve into the main legal drawbacks for the use
of AI in India's healthcare sector and discuss potential solutions.
Data
Privacy and Protection
AI relies on vast amounts of data to
function effectively, and in healthcare, this means accessing sensitive patient
information.[16] India's
current data protection framework, the Information Technology (Reasonable
Security Practices and Procedures and Sensitive Personal Data or Information)
Rules, 2011, is inadequate to address the unique challenges posed by AI. The
Personal Data Protection Bill, 2019, aims to strengthen the data protection
landscape in India, but its passage and implementation remain pending.
Liability
and Accountability
Determining liability in cases where
AI-driven healthcare tools cause harm or misdiagnose patients is complex.
Traditional medical malpractice laws focus on human negligence, making it
challenging to hold AI systems, their developers, or healthcare providers
accountable.
Moreover, there is complexity of
AI-driven decision-making. AI systems in healthcare can make highly complex
decisions based on large volumes of data, making it difficult to trace the
reasoning behind specific outcomes. This lack of transparency, often referred
to as the "black box" problem, complicates assigning responsibility
when errors occur. [17]
Current medical malpractice laws in
India are centered around human negligence and may not be well-suited to
address the unique challenges posed by AI-driven healthcare tools. Assigning
liability to heahcare providers, AI developers, or manufacturers may be
difficult when AI systems make errors or cause harm.
Determining the appropriate standard
of care for AI-driven healthcare tools is crucial in assessing liability. As AI
technologies become more sophisticated, it may be challenging to determine
whether a particular tool meets the expected standard of care or if a human
healthcare provider could have achieved a better outcome.
In cases where AI systems and human
healthcare providers both contribute to errors or harm, assigning liability
becomes even more complex. Shared liability scenarios may arise, requiring a
reevaluation of traditional liability structures.
Intellectual
Property (IP) Rights
AI's involvement in drug discovery
and medical innovation raises questions about IP rights. Current Indian patent
laws do not provide clear guidance on whether AI-generated inventions qualify
for patent protection, creating uncertainty for AI-driven healthcare startups
and companies.[18]
Ethical
Considerations
AI in healthcare can inadvertently
perpetuate biases present in the data used for training. This may lead to
disparities in treatment recommendations and access to healthcare services for
certain demographic groups.
Regulatory
Framework
The Indian healthcare sector lacks a
comprehensive regulatory framework for AI applications. Without proper
guidelines, there is a risk of adopting substandard AI technologies, which
could compromise patient safety and the overall quality of healthcare delivery.
4.
Recommendations and Suggestions
India must expedite the adoption of
comprehensive data protection legislation, ensuring that AI applications in
healthcare adhere to strict privacy standards and informed consent protocols. Legislators
need to develop clear guidelines that establish responsibility in cases
involving AI errors, possibly considering new forms of liability that recognize
the role of both human and AI actors in healthcare decision-making. To address
the black box problem, AI developers should strive for algorithmic
transparency, providing clear explanations for AI-generated outcomes. This will
enable healthcare providers and patients to better understand the
decision-making process and more easily identify the responsible parties in
cases of errors.
India's legal framework must evolve
to consider the role of AI in healthcare decision-making. Lawmakers should
consider new forms of liability that recognize the involvement of both human
and AI actors in healthcare outcomes. This may include introducing laws that
specifically address AI malpractice or updating existing regulations to
accommodate AI's role in healthcare.
Establishing clear guidelines and
industry standards for AI-driven healthcare tools can help clarify the expected
standard of care. This may involve collaboration between healthcare providers,
AI developers, and regulatory authorities to develop performance benchmarks and
best practices for AI in healthcare.
Lawmakers should consider creating
legal frameworks that accommodate shared liability, taking into account the
contributions of both AI systems and human healthcare providers in cases of
errors or harm. This may involve adapting existing negligence laws or creating
new legal categories that specifically address AI's role in healthcare.
Indian IP laws need to be updated to
clarify the patentability of AI-generated inventions, ensuring that AI
developers and healthcare organizations receive appropriate recognition and
protection for their innovations.
To address ethical concerns,
healthcare organizations and AI developers should adopt inclusive data
collection and algorithmic fairness practices, ensuring that AI tools are free
from biases and provide equitable healthcare solutions for all.
India needs to develop a robust
regulatory framework specific to AI in healthcare, setting rigorous standards
for AI-driven tools and technologies, and providing a clear pathway for their
approval and implementation.
5.
Conclusion
With the rapid inclusion of AI in
every industry worldwide, from ChatGpt to MusicLM which turns text into music,
it is time to explore the mind-boggling results of using AI in healthcare.
India is already on the way of adding new AI solutions to healthcare industry
which makes it important to analyse every facet of it. Artificial intelligence
plays an important role in the healthcare offerings of the future. In the form
of machine learning, it is the primary capability behind the development of
precision medicine, which is widely recognized as a much-needed advance in
care. Although early efforts to provide diagnostic and treatment
recommendations have proven challenging, we expect AI to eventually master this
domain as well. Given the rapid advances in AI for imaging analysis, it seems
likely that most radiology and pathology images will be examined by a machine
at some point. Speech and text recognition are already used for tasks such as
patient communication and clinical note capture, and their use will increase. As
AI continues to transform India's healthcare sector, addressing these legal
challenges is essential to ensure that its deployment is responsible and
beneficial to all. By establishing comprehensive data protection laws,
clarifying liability and IP issues, addressing ethical concerns, and developing
a robust regulatory framework, India can harness the full potential of AI in
healthcare, while safeguarding the interests of patients, healthcare providers,
and AI developers.
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