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What are the latest developments in AR connectivity and data management for healthcare?

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Augmented reality (AR) is a technology that overlays digital information onto the real world, creating an immersive and interactive experience. AR has many potential applications in healthcare, such as enhancing medical education, improving diagnosis and treatment, and facilitating remote collaboration. However, AR also poses some challenges in terms of connectivity and data management, especially in the context of privacy, security, and interoperability. In this article, we will explore some of the latest developments in AR connectivity and data management for healthcare, and how they can address these challenges and enable more effective and efficient use of AR in healthcare settings.

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Pooja Yadav

Product Manager

1 5G and edge computing

One of the key factors that affect the performance and quality of AR applications is the network speed and latency. AR requires high bandwidth and low latency to deliver smooth and realistic graphics, audio, and haptics. However, most current networks, such as 4G and Wi-Fi, cannot meet these demands, especially in areas with limited coverage or congestion. This is where 5G and edge computing can make a difference. 5G is the next generation of mobile network that offers faster speed, lower latency, and higher capacity than 4G. Edge computing is a distributed computing model that brings data processing closer to the source, reducing the need to send data to the cloud or central servers. Together, 5G and edge computing can enable more reliable and responsive AR applications for healthcare, such as real-time image guidance, remote surgery, and telemedicine.

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Pooja Yadav

Product Manager
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AR Healthcare Developments -Cloud systems enable real-time patient data access on AR headsets during procedures. -Hospital network integration and APIs allow smooth AR headset and record linkage. Centralises data. -Blockchain secures medical AR data like patient scans used live in surgery. Prevents tampering. -Federated learning shares relevant AR insights across hospitals securely. Maintains privacy. -Data transmission optimisations provide lag-free AR experiences for smooth healthcare usage.

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2 Blockchain and smart contracts

Another challenge that AR faces in healthcare is the security and privacy of the data that is generated, transmitted, and stored by AR devices and applications. AR data can include sensitive information, such as personal health records, biometric data, and location data, which can be vulnerable to hacking, theft, or misuse. Blockchain and smart contracts can offer a solution to this challenge. Blockchain is a distributed ledger technology that records transactions in a secure, transparent, and immutable way. Smart contracts are self-executing agreements that are encoded on the blockchain and executed automatically when certain conditions are met. Together, blockchain and smart contracts can enable more secure and trustworthy AR data management for healthcare, such as verifying the identity and credentials of users, ensuring the consent and compliance of data sharing, and facilitating the payment and reimbursement of services.

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Andrew Ahachinsky

Following no doctrine, but a purpose.
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Let's consider integration of blockchain into AR ecosystem that will aid to better data security and trust. How this will be integrated is yet to be seen...

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3 Cloud and fog computing

A third challenge that AR faces in healthcare is the interoperability and scalability of the data that is used and produced by AR devices and applications. AR data can come from various sources, such as electronic health records, medical images, sensors, and wearables, which can have different formats, standards, and protocols. AR data can also be large in volume and variety, which can pose difficulties in storing, processing, and analyzing. Cloud and fog computing can offer a solution to this challenge. Cloud computing is a service model that provides on-demand access to shared resources, such as storage, processing, and analytics, over the internet. Fog computing is a hybrid model that extends the cloud to the edge of the network, providing more local and distributed resources. Together, cloud and fog computing can enable more interoperable and scalable AR data management for healthcare, such as integrating and harmonizing data from multiple sources, enabling real-time and offline data access, and supporting advanced data analytics and artificial intelligence.

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4 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the latest developments in AR connectivity and data management for healthcare?

1

2

3

4

1 5G and edge computing

2 Blockchain and smart contracts

3 Cloud and fog computing

4 Here’s what else to consider

Augmented Reality

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What are the latest developments in AR connectivity and data management for healthcare?

1

2

3

4

1 5G and edge computing

2 Blockchain and smart contracts

3 Cloud and fog computing

4 Here’s what else to consider

Augmented Reality

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