How AI and personalised health records are transforming healthcare management

Aug. 21, 2024, 9:38 a.m.

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Health is a cornerstone of our lives, but it often takes a backseat to other priorities. While many readily track their finances, the same level of attention isn't always directed towards their well-being. This disparity highlights the critical need for advancing healthcare practices, especially in the area of data management.

Role of AI and personalised health records

The current healthcare system often relies on Medical Health Records (MHR) to address medical conditions, which are typically controlled by the industry and not always shared. The transition towards Personalized Health Records (PHR), owned and managed by individuals, offers a novel approach. This shift could enable AI to support a more integrated healthcare system, where data is shared across various processes, including personal well-being, professional practice management, and clinical life cycle management.

Advertisement AI has the potential to enhance several healthcare processes. In personal well-being, AI could analyse data from medical devices, wearables and sensors to provide insights into an individual’s health. For professional practice management, AI could pair healthcare professionals with individuals based on preferences and needs, allowing for more precise collaboration.

AI could streamline clinical workflows, improving diagnostics and treatment efficiency by utilizing comprehensive patient histories. In administrative management, AI can assist in organizing and coordinating medical work, workforce, and workplaces, ensuring a smoother transition from admission to discharge. Additionally, AI could support revenue cycle management, optimizing costs, insurance, and claims processes.

Emerging challenges and opportunities

The COVID-19 pandemic highlighted the critical importance of effective disease management. AI could play a crucial role in early detection and localized treatment strategies. AI also holds promise in drug discovery and genomic management by enabling seamless collaboration across various healthcare processes. This collaboration could aid research efforts in disease investigation and treatment development.

The recent adoption of the ICD-11 classification system by the World Health Organisation is expected to boost health data analysis, leading to improved healthcare solutions. Hospital-acquired conditions remain a concern, and AI-powered personalized healthcare could potentially reduce hospital admissions by enabling greater home-based care.

The author is the Founder and CEO of Giggr Technologies. The opinions expressed in this article are personal and solely those of the author. They do not necessarily reflect the views of Firstpost.

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