{"id":225410,"date":"2024-07-23T14:10:05","date_gmt":"2024-07-23T21:10:05","guid":{"rendered":"https:\/\/zpesystems.com\/?p=225410"},"modified":"2024-07-23T14:10:12","modified_gmt":"2024-07-23T21:10:12","slug":"edge-computing-use-cases-in-healthcare-zs","status":"publish","type":"post","link":"https:\/\/zpesystems.com\/edge-computing-use-cases-in-healthcare-zs\/","title":{"rendered":"Edge Computing Use Cases in Healthcare"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.16″ da_disable_devices=”off|off|off” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on”][et_pb_row _builder_version=”4.17.4″ _module_preset=”default” width=”100%” custom_margin=”0px||||false|false” custom_padding=”0px||||false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/zpesystems.com\/wp-content\/uploads\/2024\/07\/A-closeup-of-an-IoT-pulse-oximeter-one-of-many-edge-computing-use-cases-in-healthcare.jpg” alt=”A closeup of an IoT pulse oximeter, one of many edge computing use cases in healthcare” title_text=”A closeup of an IoT pulse oximeter, one of many edge computing use cases in healthcare” admin_label=”Image” _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]The healthcare industry enthusiastically adopted Internet of Things (IoT) technology to improve diagnostics, health monitoring, and overall patient outcomes. The data generated by healthcare IoT devices is processed and used by sophisticated data analytics and artificial intelligence applications, which traditionally live in the cloud or a centralized data center. Transmitting all this sensitive data back and forth is inefficient and increases the risk of interception or compliance violations.<\/p>\n

Edge computing deploys data analytics applications and computing resources around the edges of the network, where much of the most valuable data is created. This significantly reduces latency and mitigates many security and compliance risks. In a healthcare setting, edge computing enables real-time medical insights and interventions while keeping HIPAA-regulated data within the local security perimeter. This blog describes six potential edge computing use cases in healthcare that take advantage of the speed and security of an edge computing architecture<\/a>.<\/p>\n

6 Edge computing use cases in healthcare<\/h2>\n

Edge computing use cases for EMS<\/h3>\n

Mobile emergency medical services (EMS) teams need to make split-second decisions regarding patient health without the benefit of a doctorate and, often, with spotty Internet connections preventing access to online drug interaction guides and other tools. Installing edge computing resources on cellular edge routers gives EMS units real-time health analysis capabilities as well as a reliable connection for research and communications. Potential use cases include:
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1. Real-time health analysis en route<\/span><\/p>\n<\/td>\n

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Edge computing applications can analyze data from health monitors in real-time and access available medical records to help medics prevent allergic reactions and harmful medication interactions while administering treatment. <\/span><\/p>\n<\/td>\n<\/tr>\n

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2. Prepping the ER with patient health insights<\/span><\/p>\n<\/td>\n

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Some edge computing devices use 5G\/4G cellular to livestream patient data to the receiving hospital, so ER staff can make the necessary arrangements and begin the proper treatment as soon as the patient arrives.<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

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Edge computing use cases in hospitals & clinics<\/h3>\n

Hospitals and clinics use IoT devices<\/a> to monitor vitals, dispense medications, perform diagnostic tests, and much more. Sending all this data to the cloud or data center takes time, delaying test results or preventing early intervention in a health crisis, especially in rural locations with slow or spotty Internet access. Deploying applications and computing resources on the same local network enables faster analysis and real-time alerts. Potential use cases include:
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3. AI-powered diagnostic analysis<\/span><\/p>\n<\/td>\n

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Edge computing allows healthcare teams to use AI-powered tools to analyze imaging scans and other test results without latency or delays, even in remote clinics with limited Internet infrastructure. <\/span><\/p>\n<\/td>\n<\/tr>\n

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4. Real-time patient monitoring alerts<\/span><\/p>\n<\/td>\n

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Edge computing applications can analyze data from in-room monitoring devices like pulse oximeters and body thermometers in real-time, spotting early warning signs of medical stress and alerting staff before serious complications arise.<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

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Edge computing use cases for wearable medical devices<\/h3>\n

Wearable medical devices give patients and their caregivers greater control over health outcomes. With edge computing, health data analysis software can run directly on the wearable device, providing real-time results even without an Internet connection. Potential use cases include:
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5. Continuous health monitoring<\/span><\/p>\n<\/td>\n

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An edge-native application running on a system-on-chip (SoC) in a wearable insulin pump can analyze levels in real-time and provide recommendations on how to correct imbalances before they become dangerous.<\/span><\/p>\n<\/td>\n<\/tr>\n

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6. Real-time emergency alerts<\/span><\/p>\n<\/td>\n

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Edge computing software running on an implanted heart-rate monitor can give a patient real-time alerts when activity falls outside of an established baseline, and, in case of emergency, use cellular and ATT FirstNet<\/a> connections to notify medical staff.<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

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The benefits of edge computing for healthcare<\/h2>\n

Using edge computing in a healthcare setting as described in the use cases above can help organizations:<\/p>\n