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Up, down or out? Perspectives on artificial intelligence in health care today

Up, down or out? Perspectives on artificial intelligence in health care today

Two-thirds of the attendees polled at a recent innovation summit by The Economist agreed on one thing: health care is the sector that will benefit most from artificial intelligenceArtificial Intelligence knows many different definitions, but in general it can be defined as a machine completing complex tasks intelligently, meaning that it mirrors human intelligence and evolves with time. or artificial intelligence () technologies.

SwissCognitiveIn health care, which is in the midst of an industry transformation and a digitalizationDigitalization describes the process of digitalizing everything which can be digitalized. This process is found in workplaces but also in every day home life. For example, less paper is used, as letter are replaced by emails. of key aspects of patient engagement and care management, the role of data, analytics and are central to the organizational mission. However, it is easy to get caught up in one aspect or another when extolling (or decrying) the role of , while ignoring the near-term potential as well as the limitations of the technology.

How can play a role in health care today? In the words of S. Somasegar, a venture capitalist, there are three ways in which can impact a business today. Upwards, meaning that can take on intelligent capabilities that enable a higher level of interaction with humans; downwards, implying an ability to reduce costs; and outwards, which is to take to the edges of our computing infrastructure. 

recognition and () technologies help us move up in health care by enabling remote-monitoring and home health care through a “natural” interface with humans. In the health care enterprise, technologies can “read” complex medical literature and provide doctors and clinicians with intelligent choices for diagnosis and treatment options.

With the emergence of cheap computing and storage infrastructure, technologies help manage vast arrays of servers and networking equipment, detecting and remediating the most common problems without human intervention. “Purpose-built” hardware with inbuilt capabilities are becoming the norm in high-volume and time-sensitive operations that require running machine- algorithmsAn algorithm is a fixed set of instructions for a computer. It can be very simple like "as long as the incoming number is smaller than 10, print "Hello World!". It can also be very complicated such as the algorithms behind self-driving cars. on large data sets and doing it at low costs.

The notion of edge computing, a paradigm that takes analytics and to the edges of a computing infrastructure, has lately become important in the context of the Internet of Things (IoT) and smart devices. In health care, the proliferation of intelligent devices, in and out of hospital settings, has created many new opportunities. Tom Bianculli, Chief Technology Officer of Zebra Technologies, a firm that provides a mobile devices, scanners and RFID-enabled tags used in hospital environments, talks about “digital diaries” that can log every minute and every second of a device’s operation in the context of patient care. Using a network of tags and near-field communication equipment, Bianculli is now able to track a mobile device in a caregiver’s hands as she makes her way through a hospital floor, recording and analyzing everything from her precise location to her pace of walking to the direction in which she is headed with the device. Extending it to outpatient or even home health care, the deployment of intelligent devices that can analyze data at the “end point” and sending it back to a back-end system can save lives by reducing the time involved in alerting caregivers to medical emergencies. […]

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