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Key Takeaways of Indian Insurance Summit & Awards 2019

India, despite being the 2nd most populous country on the planet, accounts for only 1.5% of the World insurance premiums, and 2% of World life insurance premiums. But, with the increasing numbers to serve, the insurance market in India promises huge growth and exciting potential – were only about 20% of Indians were insured last year.

Key challenges like market penetration, product innovation, risk and fraud need to be mitigated, for insurance players to achieve better growth, customer satisfaction and profitability.

The recently concluded Indian Insurance Summit and Awards 2019 aimed at having robust and key focused area discussions on these challenges, brought together the entire insurance industry network in front of a global audience.

Here are some of the highlights and takeaways from the two-day conference:

Key takeaways of India Insurance Summit and Awards 2019

  • Application of AI beyond claims and underwriting:

AI has paved its way far beyond claims and underwriting policies. The rising InsurTech wave is marking this change by tailoring solutions for individual customers and replacing the one-size-fits-all type of product that is currently available. AI also plays a major role in fraud detection and risk management strategies.

AI in insurance will allow carriers to deliver scalable and customized solutions for members and policyholders,”

 says Ramon Lopez, Vice President of Property & Casualty Claims and Innovation at USAA.

Although, India represents a smaller share of this market, in terms of revenue in comparison to the North American region; India, (along with the rest of Asia) is expected to outperform Europe over the next five-year period.

  • Product innovation for the ease of insurance processes:

While the insurance landscape is experiencing radical changes in product innovation; innovation in technology is the next frontier.

Predicting the probability of future losses can help insurers improve pricing and accuracy; which precisely can be useful in case of risk, with little historical data from which estimates have to be drawn. Around 44% of the insurers say that they have started deploying predictive analytics solution.

California based InsurTech, Carpe Data, has fully automated systems that leverage social media to detect claim frauds and ease out specific insurance processes. Allstate insurance partnered with Carpe Data to generate meaningful insights and help them to mitigate risks in insurance processing.

“The insurance industry is used to working with historical data—the most important                challenge before them is to move from that model to a predictive one.”

Gilles Ferreol, Managing Director, CNP Partners

Bajaj Allianz introduced usage-based auto insurance called ‘DriveSmart Service’. The service monitors the car through a vehicle tracking-device and provides relevant diagnostics data on the performance of the driver.

  • Cognitive Insurance is a new wave of innovation:

Data is a vital ingredient for going Cognitive. The cognitive insurance business is one that allows underwriters to be equipped with a repertoire of AI enabled tools, empowering them to make better and more informed decisions about their customer.AXA Insurance has implemented a Google Tensor Flow-based application to optimise pricing by predicting large-loss traffic accidents with over 78% of accuracy. By leveraging a deep analysis of their customer profiles, AXA was able to understand which clients were are at a higher risk of large-loss cases requiring payment of more than 10,000 – which means, they were able to optimize the pricing of its policies.

Cognitive computing is at the “peak of inflation” on the Gartner Hype Cycle. The Cognitive approach to insurance business after the digital insurance business is the new wave to bring innovation and transformation purpose of going cognitive was created solely with the purpose of reducing human effort and refining the existing process across various insurance verticals.

  • Use a Sandbox approach to test customer’s interest:

To keep pace with the fast-evolving world of InsurTech, insurance companies should consider testing their products in a controlled environment or a “Sandbox”. This approach can provide certain advantages such as allowing insurers to launch unconventional products on a pilot-basis before seeking necessary approval.

The first insurance plan launched under this method, called “Insurance Khata” was directed towards those with seasonal incomes, mostly belonging to the underserved sections of Indian society. The buyers can pool multiple single plans in one account.

 “We want insurers to think out-of-the-box,” said Nilesh Sathe, a member at the IRDAI.

This rather unique proposition encourages insurance companies to place the policyholder right at the front of their approach, consequently not allowing regulation in being a constricting force in their innovation journey.

Data, by its very nature, is both an asset and a liability, which presents inherent risks in its handling and management. Risks that can be quite severe, in a business foundationally based on dealing with uncertainties.
Insurance is one of the richest data-driven businesses, and the consequences of a data breach extend far beyond the reputational damage that results from negative news headlines.

On July 2018, SingHealth, the largest network of healthcare institutions in Singapore, came under a severe cyber-attack and the personal data of around 1.5 million patients, including those of the Singapore PM, Lee Hsien Loong, were stolen.-Straits Times reports

In the past couple of years, the insurance industry has fallen short, by being on the defensive, of handing cyber-attacks and cyber-frauds. The industry cannot afford to take be reactive for much longer – at some point, they need to be thinking ahead of their adversaries.

The non-partisan agenda of the Summit was to explore challenges and their deterrents like market penetration, product innovation, risk, and fraud. The discussions were designed to draw out clear outcomes for the industry together – in order to realize growth, customer satisfaction, profitability and deliver definitive business value. Mantra Labs was proud to sponsor the successful Summit and partake in the insightful conversations held between insurance leaders from all corners of the industry.

We hope to see you all again, in the next edition!

https://www.insurancebusinessmag.com/asia/features/interviews/protecting-the-insurance-sector-from-cyber-threats-109124.aspx

Together Towards AI: Notes from InsureTech Connect 2017

Strategic Technology Trends in Insurance

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CX Innovations in Healthcare: Doctor Engagement Strategies in the USA

The importance of customer experience (CX) in healthcare cannot be overstated. A positive CX is crucial not only for patient satisfaction but also for the overall efficiency and success of healthcare providers. One critical aspect of CX in healthcare is doctor engagement, which refers to the strategies and practices used to involve doctors in the healthcare delivery process actively.

Doctor engagement is essential for several reasons. Firstly, engaged doctors are more likely to be committed to their work, leading to better patient care and outcomes. Secondly, effective doctor engagement can improve communication and collaboration among healthcare professionals, enhancing the quality of healthcare services. Finally, engaged doctors can provide valuable insights and feedback, helping healthcare organizations to continuously improve their services and adapt to changing patient needs.

State of Doctor Engagement: Pre-Innovation Era

Traditionally, doctor engagement in healthcare was primarily focused on face-to-face interactions and personal relationships. Doctors were engaged through regular meetings, conferences, and direct communication with hospital administrators and other healthcare staff. While these methods were effective to some extent, they had several limitations.

One major limitation was the lack of scalability. As healthcare organizations grew and the number of doctors increased, it became challenging to maintain the same level of personal engagement with each doctor. Additionally, traditional engagement methods were often time-consuming and resource-intensive, making them unsustainable in the long term.

Another limitation was the lack of data-driven insights. Traditional engagement practices relied heavily on anecdotal evidence and personal experiences, which did not always provide a complete or accurate picture of doctor engagement levels. This made it difficult for healthcare organizations to measure the effectiveness of their engagement strategies and identify areas for improvement.

Furthermore, the pre-innovation era of doctor engagement often lacked customization and flexibility. Engagement strategies were typically one-size-fits-all, failing to account for the diverse needs and preferences of individual doctors. This lack of personalization could lead to disengagement among doctors who felt that their unique contributions and perspectives were not being valued.

Emerging Problems and the Need for Innovation

As the healthcare industry continued to evolve, several emerging problems highlighted the need for innovation in doctor engagement strategies. One significant issue was the increasing complexity of healthcare delivery. With advancements in medical technology and the growing diversity of patient needs, doctors were required to navigate more complex treatment options and care protocols. Traditional engagement methods often fell short in providing the support and resources needed to manage this complexity effectively.

Another problem was the rising demand for healthcare services, fueled by factors such as an aging population and the prevalence of chronic diseases. This increased demand put pressure on doctors, leading to burnout and dissatisfaction. Without effective engagement strategies, healthcare organizations struggle to retain skilled doctors and maintain high levels of patient care.

The digital transformation of healthcare also posed challenges for doctor engagement. The adoption of electronic health records (EHRs), telemedicine, and other digital tools required doctors to adapt to new ways of working. However, the lack of proper training and support for these digital tools often led to frustration and resistance among doctors, hindering their engagement.

Moreover, the shift towards value-based care, which focuses on patient outcomes rather than the volume of services provided, required a more collaborative approach to healthcare. Traditional doctor engagement methods were not always conducive to fostering teamwork and shared decision-making, making it difficult to align doctors with the goals of value-based care.

These emerging problems underscored the need for innovative solutions that could address the changing dynamics of healthcare delivery and support effective doctor engagement in the modern era.

Innovative Solutions: Transforming Doctor Engagement

In response to these challenges, a range of innovative solutions emerged to transform doctor engagement in healthcare. One key innovation was the development of digital platforms and tools designed specifically for doctor engagement. These platforms provided a centralized hub for communication, collaboration, and access to resources, making it easier for doctors to connect with their peers and stay informed about the latest developments in their field.

Another significant innovation was the use of data analytics and artificial intelligence (AI) in doctor engagement. By analyzing data on doctor behavior, preferences, and performance, healthcare organizations could gain insights into what drives doctor engagement and tailor their strategies accordingly. AI-powered tools could also help identify patterns and trends in doctor engagement, enabling proactive interventions to prevent disengagement.

Gamification techniques were also applied to doctor engagement, leveraging the principles of game design to make engagement activities more interactive and rewarding. For example, doctors could earn points or badges for participating in training sessions, contributing to research, or achieving certain performance metrics. This approach helped to motivate doctors and make engagement more enjoyable.

In addition, there was a growing emphasis on personalized engagement strategies that recognized the individual needs and preferences of doctors. Personalized communication, tailored training programs, and flexible engagement options allowed doctors to engage in ways that suited their unique circumstances and preferences.

These innovative solutions represented a significant shift in how healthcare organizations approached doctor engagement. By leveraging technology, data, and personalization, they could create more effective and sustainable engagement strategies that address the challenges of modern healthcare delivery.

To illustrate the impact of these innovative solutions, let’s examine some case studies of healthcare organizations that have successfully implemented new doctor engagement strategies:

Digital Collaboration Platform

A large hospital system introduced a digital collaboration platform for its doctors. This platform allowed physicians to easily communicate with each other, share knowledge, and access patient information securely. As a result, the hospital saw improved coordination among doctors, leading to better patient outcomes and increased doctor satisfaction. A real-world example can be given of Connect2Clinic, a doctors’ portal developed by Mantra Labs for Alkem Labs. The solution allows doctors to manage their patients efficiently with lots of handy features and effectively run operations. It is a complete clinic management solution.

AI-Driven Feedback Tool

Another healthcare provider implemented an AI-driven tool that collected and analyzed feedback from doctors in real time. This tool helped identify areas for improvement in hospital operations and doctor support services. By addressing these issues promptly, the healthcare provider was able to enhance doctor engagement and reduce turnover rates.

Personalized Learning Programs

A specialty clinic developed personalized learning programs for its doctors, offering courses and resources tailored to their interests and career goals. This approach led to higher participation rates in training programs and a more engaged medical staff who felt valued and supported in their professional development.

Challenges and Considerations in Implementing Innovations

While innovative solutions for doctor engagement offer numerous benefits, healthcare organizations may encounter challenges in their implementation. Here are some key considerations:

  1. Resistance to Change: Doctors, like any other professionals, may resist new technologies or processes. Addressing concerns, providing adequate training, and demonstrating the value of innovations are crucial steps in overcoming resistance.
  2. Integration with Existing Systems: New engagement tools must seamlessly integrate with existing healthcare systems, such as EHRs, to avoid disruption and ensure smooth operation.
  3. Data Privacy and Security: With the increased use of digital platforms, protecting patient and doctor data is paramount. Healthcare organizations must adhere to strict data privacy regulations and ensure robust security measures are in place.
  4. Cost and Resource Allocation: Implementing new technologies can be costly. Organizations must carefully plan their budgets and resources to support the adoption of innovative engagement strategies.
  5. Measuring Impact: It’s essential to have metrics in place to evaluate the effectiveness of engagement initiatives. Regular monitoring and adjustment of strategies based on data are necessary for long-term success.

Future of Doctor Engagement in Healthcare

Looking ahead, the future of doctor engagement in healthcare is likely to be shaped by ongoing technological advancements and evolving healthcare needs. Here are some potential trends:

  1. Increased Use of Telemedicine: The COVID-19 pandemic has accelerated the adoption of telemedicine. This trend is expected to continue, offering new opportunities for engaging doctors remotely.
  2. Personalized Engagement Platforms: As technology advances, we can expect more sophisticated platforms that offer personalized engagement experiences for doctors, tailored to their individual needs and preferences.
  3. Collaborative Healthcare Ecosystems: The future may see more integrated and collaborative healthcare ecosystems, where doctors, patients, and other stakeholders are closely connected through digital platforms, enhancing engagement and communication.
  4. Focus on Well-being: With growing awareness of doctor burnout, future engagement strategies may place a greater emphasis on supporting doctors’ well-being and work-life balance.
  5. Leveraging AI and Machine Learning: These technologies will continue to play a significant role in analyzing engagement data, predicting trends, and providing insights for improving doctor engagement strategies.

As healthcare continues to evolve, staying ahead of these trends and adapting engagement strategies accordingly will be crucial for healthcare organizations seeking to foster a highly engaged and motivated medical workforce.

Doctor engagement is a critical component of delivering high-quality healthcare. As the healthcare landscape evolves, so too must the strategies for engaging doctors. The innovations discussed in this blog, from digital collaboration platforms to personalized learning programs, offer promising solutions to the challenges of doctor engagement in the modern era.

The success stories and data presented highlight the tangible benefits of these innovative strategies, including improved patient outcomes, increased doctor satisfaction, and enhanced operational efficiency. However, healthcare organizations must navigate challenges such as resistance to change, data privacy concerns, and the integration of new technologies with existing systems.

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