Healthcare Technology with Faster Insights, Improved Outcomes, and Lower Cost

Globally, healthcare systems are facing a massive rise in chronic conditions and experiencing increased pressure on costs. Everyone in the healthcare delivery chain—from pharmaceutical companies to clinicians to physicians and patients—is looking for ways to deliver a more efficient healthcare system and better patient outcomes. 


Healthcare technology offers an answer to this: It can help transform healthcare from reactive to proactive. It can deliver the critical data and clinical insight that can help relieve some of the issues faced across the industry. At Arm, our role is to provide cost-effective enablers for low-power electronic devices across healthcare to help improve patient outcomes and people’s lives.

Perspective
Better Care at Lower Cost

Healthcare today is primarily based on face-to-face doctor-patient interactions, with the burden resting heavily on the patient. Patients with chronic diseases must monitor their own vitals and look for abnormalities that might trigger a call to a physician, or worse yet, an emergency visit costing the healthcare system tens of thousands of dollars.

 

Now device manufacturers can develop small, battery-powered monitors, smart patches, and even inhalers that incorporate machine learning within the device; this innovation allows healthcare diagnosis, delivery, or monitoring to take place remotely. Whether an off-the-shelf device or a custom system on chip (SoC), Arm and the Arm ecosystem provide the foundational technology, including robust processing power in a small footprint, for devices that are transforming lives.

Learning from Interventions

When clinicians prescribe medications, patients may choose not to take the medicine or take it incorrectly; that means poor adherence to a prescription isn’t caught until something goes wrong. However, technology can help with early intervention, which makes a big difference: It helps medical teams keep people out of the hospital, helps the doctor to provide better direction, helps pharmaceutical companies offer better drugs, and helps family members give support. Arm technology provides the compute power needed for an effective closed-loop system, capturing data and insight to drive better patient outcomes.

Population Health to Personalized Medicine

Allowing more people to be genetically sequenced at lower cost will provide the insight needed for faster medical diagnoses and more reliable drug development. However, equipment is getting smaller, too, with sequencing technology in the doctor’s office that demands low power, and even battery-powered solutions.

 

Arm partners are using algorithms to drive further performance optimizations, drastically increasing computing speed and scale for genomic sequencing, so medical analysis and treatment can be tailored to a specific individual. These advances are made possible by ultra-fast, ultra-low power CPUs, such as the Arm Cortex-A processors, as well as Arm Mali graphics processors and machine learning.

Physical and Emotional Human Assistance

Robotics will play a critical role in healthcare in areas like precision surgery, elder care, and emotional companionship. Surgical robots, for example, are ideal for complex, invasive procedures where extreme motion control is required.

 

The level of complexity and compute in these applications is diverse, covering both decision-making faculties and precise motion. Scalable, real-time Arm processors and multimedia technology, combined with a vibrant ecosystem of application and algorithm providers, enable these evolving robotics applications.

Machine Learning at the Edge

Given the mountains of health care data piling up around the world, the medical industry stands to be one of the first great proving grounds for artificial intelligence (AI) technology.

 

For healthcare, we’re not just talking about systems such as the DeepMind or IBM Watson, which give doctors AI support to offer better care. Medical devices right at the edge increasingly use AI systems, with machine learning capabilities on a variety of battery-powered devices, from blood pressure monitors to autoinjectors to mobile phones with multiple data sources—all connecting to the electronic patient record.

Use Cases
Where Innovation and Ideas Come to Life

Respiro sensors are the world’s first commercial devices to effectively monitor inhalation technique and frequency, capturing parameters such as inhalation flow rate, flow acceleration, inhalation volume, and inspiration time, as well as the patient’s handling of the inhaler. The sensors collect inhaler use data, even when the inhaler is offline, without changing the use of the inhaler or disrupting the medication delivery pathway; it transmits data when it reconnects. 
 
The processing power of the Cortex-M processor family enables the intelligence and connectivity to be deployed in the sensor and allows it to run a real-time machine learning algorithm.

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