Today, healthcare delivery pivots on the active involvement of all stakeholders – patients, providers, and payers. It centers on using digital technologies to bring real-time insights from patient behavior and medication, allowing healthcare providers to reassess treatment plans and payers to realign premiums dynamically. The focus is now on keeping patients engaged with timely health information, available treatment options, and health insurance plans customised to their needs.

Engaged patients take an active role in their care, tend to continue with the same healthcare provider for more extended periods, and experience better health outcomes.

Phone calls and emails have been the traditional outreach methods. While effective, they are often time-consuming and challenging to scale as per personalised patient needs. They are reactive, healthcare providers typically wait for a missed appointment, checkup, or medication intake. To keep patients engaged, real-time monitoring and data analysis, these outreach methods need to be proactive. This calls for technological intervention in the way healthcare programs are managed.

How data analytics, cloud, and automation could help with patient engagement?

Wearable devices collect real time data on patients’ health behaviors, such as heart rate, sleep patterns, and physical activity. This data proves critical in assessing treatment effectiveness when analysed in real time with machine learning models that can make predictions about health concerns by studying historical patterns.

By storing patient data in the cloud, healthcare providers can derive specific insights with cloud native capabilities such as big data analytics and artificial intelligence, co-relating data from past cases to identify health concerns before they manifest, leading to earlier disease detection and preventive care. Cloud also offers benefits such as data security, compliance with data privacy regulations, scalability, and reduced costs for the provider.

Automating routine tasks such as appointment reminders, patient registration, billing, and prescription refills can free up healthcare providers’ time to focus on more complex and value-added tasks such as care coordination or disease management.

Generative AI: The new disruptor

Generative AI and ML promises immense potential for patient engagement. They can analyse copious amounts of data on patients’ health behaviors to identify patterns and make predictions about future health concerns.

Healthcare providers can use this information to personalise patient care plans and engage patients more effectively.

For example, chatbots can communicate intelligently with patients while considering the context. They can answer everyday health and disease queries, book doctor appointments, provide detailed directions to a specific department, generate personalised content such as diet and exercise plans, and even understand voice commands.

Generative AI helps healthcare providers by enabling faster and more accurate diagnoses by leveraging diverse data such as patient history, diagnostic images, and similar patient cases to accelerate prognosis.

To conclude, technology has revolutionised patient engagement in the Indian healthcare landscape, and the entry of Generative AI will only accelerate this further. These technologies offer numerous benefits for patients and providers alike. Patients can experience increased convenience, personalised care, and improved health outcomes. Providers and payers can reduce costs by streamlining processes, reducing human intervention, and increasing the overall patient lifetime value.

Views expressed by Mukul Tripathi, Principal – Offerings & Solutions, Life Science and Healthcare, Persistent Systems Limited, and Parimal Muli, Principal – Offerings & Solutions, Life Science and Healthcare Sales, Persistent Systems Limited

To know more about Persistent Systems Healthcare & Life Sciences Solutions, simply log on to www.persistent.com/industries/healthcare.

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