Top 5 Technology Trends Shaping Modern Healthcare in 2024, Health News, ET HealthWorld


By Vaishali Nambiar

The interconnection of healthcare with IT has gotten deeper than one could have ever imagined. In 2022, the global healthcare IT market size was valued at $ 174.3 billion, with an expected CAGR of 18.2 per cent from 2023 to 2030, reaching $ 644.9 billion by 2030

In the realm of healthcare, the fusion of innovation and technology is reshaping the landscape, ushering in an era where patient care is not just a service but a personalised, data-driven experience.

Today, as we navigate the intricate web of modern healthcare, many groundbreaking technologies have emerged as the vanguards of change, each contributing to a more efficient, accessible, and patient-centric system, that’s nothing short of a revolution. Here are the top 5 technology trends that we see shaping the modern healthcare landscape in the coming year.

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Electronic Health Records (EHR)

Electronic Health Records (EHR) have become the backbone of modern healthcare systems. These digital versions of patients’ paper charts contain comprehensive and real-time information about their medical history, diagnoses, medications, treatment plans, immunisation dates, allergies, radiology images, and laboratory test results. EHR systems facilitate seamless communication among healthcare providers, ensuring that patient data is accessible and secure.

The benefits of EHR include improved patient care coordination, reduced errors, increased patient engagement, data availability through interoperability, compliance to regulatory requirements, clinical decision support and thereby, enhanced overall healthcare quality. These systems streamline administrative processes, reduce paperwork, can interchange data with other systems and result in a more efficient and patient-centered healthcare environment.

Telemedicine and Remote Patient Monitoring

Telemedicine and remote patient monitoring have gained immense traction, especially in the wake of global events that necessitated a reevaluation of healthcare delivery. Telemedicine enables healthcare professionals to provide medical services remotely, leveraging digital communication tools. This approach has proven invaluable for routine check-ups, follow-up appointments, geriatric care, and even urgent care consultations, thus facilitating increased access to care, improved continuity of care, increased flexibility and convenience and higher patient satisfaction while reducing costs

Remote Patient Monitoring (RPM) takes telemedicine a step further by allowing healthcare providers to monitor patients’ vital signs and health data from a distance. Wearable devices and other connected health technologies facilitate continuous monitoring, enabling early detection of potential issues and timely intervention. This not only enhances patient outcomes but also reduces the burden on healthcare facilities.

Artificial Intelligence (AI), Machine Learning (ML) and Generative AI in Healthcare

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare has ushered in a new era of personalised and data-driven medicine. AI algorithms analyse vast datasets, identify patterns, and provide insights that aid in the diagnosis, treatment planning, and predictive modeling.

In diagnostics, AI-powered imaging tools enhance the accuracy of medical imaging, assisting radiologists in detecting anomalies and diseases at an early stage. Machine Learning algorithms can predict patient outcomes, recommend personalised treatment plans, and optimise resource allocation in healthcare facilities. As these technologies continue to evolve, their potential to transform healthcare is boundless.

Apart from diagnosis, AI and ML algorithms are being developed to solve challenges around Claims Management, Operations Optimisation including scheduling, supply chain, etc.,

The more recent development in the field of AI has been Generative AI. Gen AI strives to create entirely new data that resembles human-created content with predictive patterns. Generative AI is being extensively used in medical research to diagnose disease by analysing medical images and CT scans. In addition to that, there are a number of use cases like personalised medicine, Clinical Decision Support, Drug Discovery, Clinical documentation, etc. where Gen AI is being explored.

Despite its potential, generative AI technologies have well-known risks around data privacy and data accuracy. These risks make adoption in highly regulated industries like healthcare particularly complicated.

Internet of Medical Things (IoMT) and Wearable Devices

The Internet of Medical Things (IoMT) refers to the interconnected network of medical devices and applications that collect, transmit, and analyse health data. Wearable devices, a subset of IoMT, have become increasingly popular among consumers for tracking various health metrics such as heart rate, activity levels, and sleep patterns.

These devices empower individuals to actively participate in their health management and provide healthcare professionals with valuable real-time data. From smartwatches to fitness trackers, wearable devices contribute to preventive care, chronic disease management, and a more holistic approach to healthcare.

Again, Generative AI algorithms can leverage the wealth of data generated by wearables to identify patterns and anomalies that might elude human observation.

Predictive Analytics in Healthcare

Predictive analytics involves using statistical algorithms and machine learning techniques to analyse historical data and predict future outcomes. In healthcare, predictive analytics is applied to anticipate disease outbreaks, identify high-risk patients, and optimise treatment plans.

By leveraging large datasets, healthcare providers can proactively address potential health issues, allocate resources efficiently, and improve patient outcomes. Predictive analytics also plays a crucial role in population health management, helping healthcare organisations tailor interventions to specific groups and enhance preventive care initiatives.

Envisioning Healthcare 2024: Personalised, Precise, and Interconnected

In the future as healthcare technology evolves, more and more diagnosis, treatment, and care plan will be personalised, precise, and seamlessly interconnected. These transformative technologies promise a future where wellness is proactive, diseases are preempted, and patient empowerment becomes the center. Where we anticipate patient needs before they arise and all this with reduced costs and higher affordability.

These are interesting times for technology in healthcare as there is a growing need for technology adoption that enables both care givers and patients to work hand in hand to create a healthier world.

Vaishali Nambiar, Executive Vice President, CitiusTech

(DISCLAIMER: The views expressed are solely of the author and does not necessarily subscribe to it. shall not be responsible for any damage caused to any person/organisation directly or indirectly).

  • Published On Dec 24, 2023 at 01:53 PM IST

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