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What will ‘Behavioural Changes’ Mean for India’s Digital Health Future

We are in the middle of a global pandemic, facing a threat unlike one never seen before. COVID-19 has been a reason for global concern since it has negatively impacted economies, shut down workplaces, and forced cities into lockdowns.

But history also tells us  that times of uncertainty also foster innovation. The pandemic has forced consumers and businesses to rethink how they behave both physically and digitally. As per McKinsey, COVID-19 has speeded up the adoption of digital technologies.

India, which was on the cusp of a ‘digital health’ revolution, has now been forced to embrace innovation and emerging trends. The healthcare sector holds great promise since new-age technologies like telemedicine, robotics, artificial intelligence (AI), genomics, etc. are transforming healthcare services.

There have been unprecedented changes in consumer behaviour as well. People are now increasingly relying on using the internet to find clinical information or engage with healthcare professionals digitally. Moreover, online consultations, telemedicine, and e-pharmacies have seen a rise in popularity.

Companies will thus need to capitalize on the changing patterns of consumption and health-seeking behaviour.

This article focuses on how changing patient behaviour will affect India’s digital health future.

A growing Indian healthcare market

According to a report by Future Health Index, India is a leader in the adoption of digital health technology. As per India Brand Equity Foundation (IBEF), the Indian healthcare market is expected to grow at a compound annual growth rate of 22% to reach a valuation of USD 372 billion by 2022. This growth can be attributed to the following –

  • Growing health awareness
  • Aging population
  • Lifestyle-related diseases
  • Rising income levels
  • Growth of internet availability

The rise of digital health start-ups is also playing a role in the growth of the healthcare sector. Indian health tech startup landscape has now matured.

Over the last few years, telemedicine has emerged as a fast-growing sector in India. Prominent start-ups like Practo, mfine, and Lybrate have established themselves in the telehealth market. McKinsey estimates that India could save up to USD10 billion by 2025 by using telemedicine instead of in-person doctor appointments.

COVID-induced behavioural changes

The COVID-19 pandemic has brought about changes to patient behaviour. The fear of leaving homes to get treatment has led to the growth of virtual care and telemedicine. 

As per a report by Accenture, almost 70% of the patients canceled or postponed their treatments due to the COVID-19 pandemic. Technology, therefore, played a crucial role in helping patients continue their care. Healthcare providers were even able to improve the experience for patients by delivering them faster response time, personalized interactions, and the convenience of getting consultation from home.

The same report by Accenture highlights some key behavioural changes that are being observed in patients – 

  • Nearly half of the patients now get their treatment at their homes instead of visiting a clinic.
  • Almost 60% of patients want to continue using technology for communicating with healthcare providers.
  • About 41% of patients now use video conferencing to connect with their healthcare providers. Of these, for almost 70% of patients, it’s their first-time using video conferencing for healthcare.
  • Almost 44% of patients used new apps or devices during the pandemic to manage their health conditions.

All this highlights the need for healthcare providers to reimagine their patient engagement strategies in keeping with the changing patient behavior.

Future of digital health in India

New digital technologies and tools are making an impact across the healthcare sector. They hold great promise in improving the efficiency of healthcare services while delivering better patient care. Below are some of the technological developments that are expected to revolutionize the way we seek healthcare.

Telemedicine

About 68% of India’s population lives in rural areas where healthcare services are not usually up to the mark. This barrier can be overcome by telemedicine that offers an excellent way for patients to consult a doctor in a much shorter duration. Telemedicine can cut waiting times and allow patients to avoid traveling to a clinic or hospital. Some other benefits of telemedicine include –

  • Immediate access to specialist healthcare providers.
  • Cost-effectiveness.
  • Improved quality of care.
  • Convenience to the patients.
  • Improved patient engagement.

Internet of medical things (IoMT)

The rapid growth of IoMT devices is rapidly changing healthcare delivery by playing an important role in tracking and preventing chronic illnesses.

It not only helps eliminate the need for in-person medical visits but also helps reduce costs. Goldman Sachs estimates IoMT to save USD 300 billion annually for the healthcare industry. IoMT will benefit those patients the most who are unable to get access to quality healthcare due to remote location.

Big data in healthcare

There has been dramatic growth in the amount of medical and health data in the last few years. These massive datasets can be used to draw insights and opportunities for healthcare organizations. Analysis of healthcare data can help discover warning signs and create preventive plans.

The widespread adoption of IoT devices also makes it easier to monitor heart rate, blood pressure, etc. This can help in the early detection of diseases like hypertension, asthma, heart problems, etc.

Electronic medical records

Electronic medical records or EMRs help collect, digitalize patients’ information, and store it in a single place. EMRs store various types of medical data like medical history, prescriptions, drug allergies, etc. and allow doctors to make accurate disease prognosis in a much shorter time. Some other benefits of EMRs include – 

  • Effective medical decisions.
  • Easy data recovery.
  • Improved collaboration.
  • Portability.
  • Security of medical data.

Artificial intelligence

Artificial intelligence (AI) has a big role to play in improving healthcare since growing digitization leads to the availability of a large amount of health data. AI has the potential to transform everyday health management in the following ways –

  • Improved accessibility of healthcare services (for example – the AI-based mobile app Ada is available across 140 countries and makes it possible for anyone to have access to medical guidance).
  • Improved efficiency.
  • Accurate disease diagnosis.
  • Improved insights to reveal early disease risks (for example – a popular app Verily can forecast noncontagious and hereditary genetic diseases).
  • Time and cost savings.

mHealth

Mobile health or mHealth refers to the monitoring and sharing of health data via mobile technology like health tracking apps or wearables. 

mHealth apps can prove to be beneficial in increasing patient engagement, providing health education, and offering remote consultations to patients. It can also use the data from wearable devices to improve the quality of care. Some other benefits of mHealth include – 

  • Faster access to physicians.
  • Improved medication adherence.
  • Remote patient monitoring.
  • Increased medication reconciliation accuracy.
  • Improved coordination between healthcare providers and patients.

Conclusion

It’s quite clear that COVID-19 has significantly impacted patient behaviour. There has been a growing preference for telehealth and mHealth apps. But all of this has also compelled healthcare organizations to put in more effort in adapting to these behavioural changes. Healthcare providers are opting to rely more on new technologies to continue delivering patient care. A more affordable standard of high-quality care is in the works for India’s digital health future.

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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