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Published on: Jul 29, 2022
3 minute read
By: Second Medic Expert

Artificial Intelligence Use Cases In Healthcare

There is a lot of discussion about the role of artificial intelligence in healthcare. Some people believe that it will play a huge role in the future of healthcare, while others are not so sure. There are many different applications for AI in healthcare, from helping doctors to diagnose diseases to guiding patients through their treatment plans.

One of the benefits of using AI in healthcare is that it can help to reduce the burden on doctors. For example, AI can be used to help doctors with diagnostics. It can also be used to analyze data gathered from patients in order to help doctors make more informed decisions about their treatment plans.

Artificial intelligence is becoming more prevalent in the healthcare industry as doctors and other providers look for ways to cut costs and improve patient care. In some cases, AI can be used to automate tasks such as data entry or to provide decision support to clinicians. In other cases, AI can be used to analyze large data sets in order to identify patterns or trends that might not be noticed by humans. There are still some challenges to overcome before AI can become a ubiquitous part of the healthcare industry, but there is no doubt that it will play an increasingly important role in the years ahead.

One example is the use of AI to help doctors with diagnoses. AI can look at data from patients' cand tests and compare it with data from other patients to help doctors come up with a diagnosis. AI is also being used to help improve treatments. For example, AI can be used to analyze patient data to see how different treatments are working and whether they are effective or not. This information can then be used to improve treatments for future patients.

AI is also being used to help plan surgeries. AI can look at data from scans of a patient's body and plan the best surgery possible based on that data. Artificial intelligence (AI) is a field of computer science and engineering focused on the creation of intelligent agents, which are systems that can reason, learn, and act autonomously.

In the healthcare industry, AI applications can be used for tasks such as disease diagnosis, treatment planning, and personalized medicine. Additionally, AI technology can help to improve patient care by reducing the workload of healthcare workers and by providing decision support for clinical staff. Overall, AI has the potential to revolutionize the way healthcare is delivered and could play a significant role in improving patient outcomes.

It is estimated that AI could help the healthcare industry save as much as $150 billion annually by 2026. This is because AI can help to identify patterns and correlations in data that humans are unable to see, which can help to improve the accuracy of diagnoses, streamline treatment plans, and increase efficiency across the board. In addition, AI has been shown to be effective in helping to identify potentially harmful drug interactions, predicting patient outcomes, and even diagnosing some diseases that are incredibly difficult to detect (such as ovarian cancer). The possibilities for AI in healthcare are endless, and it's clear that this technology is poised to play a major role in the future of healthcare.

It is estimated that around 80% of all healthcare data is unstructured. This makes it a difficult proposition for current health information systems to process and use effectively. However, with the advent of artificial intelligence (AI), this may be about to change. AI can be used to sift through and make sense of vast amounts of data very quickly, meaning that it can help identify patterns and trends that would otherwise be missed. It can also help to predict future events and outcomes, allowing for preventative action to be taken where necessary. In the field of healthcare, AI has already been used in areas such as diagnosis, treatment planning, drug development and patient care.

There is a lot of excitement around the potential for artificial intelligence (AI) to improve healthcare. AI has the ability to process large amounts of data quickly, making it ideally suited to helping identify patterns and trends that could lead to new treatments or better outcomes for patients. Some early examples of AI being used in healthcare include Google DeepMind's work with the UK's National Health Service (NHS). DeepMind has been using machine learning algorithms to help doctors diagnose eye diseases and predict which patients are most at risk of developing kidney failure.

There is no doubt that artificial intelligence (AI) will play an increasingly important role in healthcare in the years ahead. In fact, AI is already starting to be used to help doctors diagnose diseases, to improve patient care, and even to help patients manage their own health.

Some of the ways that AI is being used in healthcare include:

-Automated image recognition for diagnosing diseases such as cancer

-Analysis of large data sets for predicting patient outcomes and developing new treatments

-Virtual assistants that can help patients manage their own health or answer questions about their medical condition

-Modeling how diseases progress over time in order to better predict how a patient will respond to treatment

There is no doubt that AI will have a profound impact on the healthcare industry. In some ways, it is already starting to play a role. For example, IBM's Watson is being used in a number of cancer centers to help doctors make treatment decisions. AI can be used in a number of ways in the healthcare industry. For example, it can be used to improve diagnoses, to help doctors plan treatments, to monitor patients' health and to provide feedback on how patients can improve their health.

AI has the potential to revolutionize the healthcare industry and it is likely that we will see even more amazing applications of AI in this field in the years ahead. There is no doubt that artificial intelligence (AI) will play a significant role in the future of healthcare. The potential uses of AI in healthcare are endless and include tasks such as diagnostics, treatment planning, patient monitoring, and more. One of the areas where AI is already making a big impact is in diagnostics. For example, IBM's Watson can now diagnose certain types of cancer with up to 99?curacy. And AI systems are also being used to develop new treatments for diseases. In the near future, AI will likely become an integral part of patient care and will help to improve the quality and efficiency of healthcare delivery.

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Lower Premiums for Health Score Achievers: How Preventive Wellness Rewards Healthy Choices

Healthcare costs are rising steadily across India, driven largely by lifestyle-related diseases and late-stage diagnosis. In response, organisations and insurers are shifting focus from reactive treatment to prevention. One of the most effective approaches emerging from this shift is offering lower premiums for health score achievers.

This model aligns personal health responsibility with financial incentives, creating a win–win situation for individuals, employers and insurers.

What Is a Health Score?

A health score is a composite indicator that reflects an individual’s overall health status.

It typically considers:

preventive health checkup results
lifestyle habits such as physical activity and sleep
key biomarkers like blood sugar, cholesterol and blood pressure
body composition indicators

The focus is on risk reduction, not perfection.

Why Health Score–Based Premiums Are Gaining Importance

According to NITI Aayog and EY-FICCI reports, preventive healthcare can reduce long-term medical costs by up to 30–40 percent.

Health score–linked premiums:

reward proactive behaviour
reduce claim frequency
encourage early detection

This shifts healthcare from illness management to health preservation.

The Preventive Healthcare Gap in India

NFHS-5 and ICMR data show:

many chronic diseases remain undiagnosed until advanced stages
preventive screenings are underutilised
lifestyle risks are increasing among working adults

Health score incentives help close this gap.

How Lower Premiums Motivate Behaviour Change

Financial Incentives Drive Consistency

When healthy habits are rewarded financially, individuals are more likely to:

attend regular screenings
improve diet and activity
monitor health metrics

Behaviour change becomes sustainable.

Focus on Improvement, Not Punishment

Modern health score models emphasise:

gradual improvement
personalised targets
achievable milestones

This avoids discouragement and promotes inclusion.

Benefits for Individuals

Reduced Insurance Costs

Lower premiums directly reduce out-of-pocket insurance expenses.

Better Health Awareness

Tracking health scores increases understanding of:

personal risk factors
lifestyle impact
preventive actions

Knowledge leads to better choices.

Early Disease Detection

Regular monitoring identifies:

prediabetes
early hypertension
lipid abnormalities

Early intervention prevents complications.

Benefits for Employers

Lower Healthcare Claims

Preventive health programs reduce:

hospitalisations
long-term treatment costs

This improves corporate insurance sustainability.

Improved Productivity

Healthier employees experience:

fewer sick days
better energy levels
improved focus

Wellbeing translates to performance.

Stronger Wellness Culture

Reward-based programs signal genuine employer commitment to health.

Benefits for Insurers

Health score–based premiums help insurers:

manage risk more accurately
reduce high-cost claims
promote preventive engagement

This supports long-term viability of insurance models.

Role of Preventive Health Checkups

Preventive screenings form the backbone of health scoring.

They help track:

metabolic health
cardiovascular risk
nutritional deficiencies

NITI Aayog identifies screening as the most cost-effective health intervention.

Addressing Privacy and Fairness Concerns

Responsible programs ensure:

data confidentiality
voluntary participation
non-discriminatory design

Transparency builds trust and engagement.

Making Health Scores Inclusive

Inclusive programs:

adjust for age and baseline health
reward progress
offer support for high-risk individuals

Equity is essential for success.

Integration with Digital Health Platforms

Digital tools enable:

real-time health tracking
personalised insights
long-term trend monitoring

This improves engagement and accuracy.

Long-Term Impact on Public Health

Widespread adoption of health score incentives can:

reduce lifestyle disease burden
shift focus to prevention
improve population health outcomes

WHO supports incentive-based preventive health strategies globally.

Challenges and How to Overcome Them

Common challenges include:

low initial engagement
lack of awareness
resistance to change

Solutions involve education, simplicity and continuous support.

Why Lower Premiums Are More Effective Than Penalties

Positive reinforcement:

motivates sustained behaviour change
reduces anxiety
builds trust

Punitive models often discourage participation.

Future of Health Score–Linked Premiums in India

As digital health infrastructure expands, health score–based models are expected to:

become more personalised
integrate AI-driven insights
support nationwide preventive strategies

This marks a shift toward value-based healthcare.

Conclusion

Lower premiums for health score achievers represent a powerful shift toward preventive, value-driven healthcare. By rewarding healthy behaviours, early screening and consistent wellness practices, these programs benefit individuals, employers and insurers alike. Financial incentives aligned with health outcomes encourage long-term behaviour change, reduce disease burden and create a sustainable healthcare ecosystem. In a country facing rising lifestyle diseases, health score–linked premiums are not just an incentive—they are a strategic investment in healthier futures.

References

World Health Organization (WHO) – Preventive Healthcare and Incentive Models
Indian Council of Medical Research (ICMR) – Lifestyle Disease and Prevention
National Family Health Survey (NFHS-5) – Adult Health Indicators
NITI Aayog – Preventive Healthcare and Insurance Reform Reports
EY-FICCI – Corporate Wellness and Healthcare Cost Studies

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