{"id":30145,"date":"2020-03-25T11:02:53","date_gmt":"2020-03-25T11:02:53","guid":{"rendered":"https:\/\/digileaders.com\/?p=30145"},"modified":"2024-03-22T18:06:34","modified_gmt":"2024-03-22T18:06:34","slug":"what-will-it-take-to-make-a-healthcare-bot-your-new-best-friend","status":"publish","type":"post","link":"https:\/\/digileaders.com\/what-will-it-take-to-make-a-healthcare-bot-your-new-best-friend\/","title":{"rendered":"What will it take to make a healthcare bot your new best friend?"},"content":{"rendered":"

Developers of smart speaker systems for healthcare consumers must address challenges like AI bias and human-centered application design.<\/p>\n

\u201cI was so tired, I started talking to Alexa.\u201d<\/p>\n

I can\u2019t tell you how many times I\u2019ve heard people refer to Alexa as something more than a digital assistant this past year. More people are talking to and asking questions of voice-activated digital assistants and cognitive-powered colleagues than ever before. Nearly\u00a019 million homes<\/a>\u00a0in the U.S. have a smart speaker. In four years,\u00a0Juniper Research predicts<\/a>\u00a0more than half of all American homes will have and use a smart speaker. That\u2019s a smart speaker in more than 70 million U.S. households by 2022.<\/p>\n

Already,\u00a0Alexa has more than 1,000 healthcare-related \u201cskills,\u201d<\/a>\u00a0which allow users to make queries, to which the bot responds. These skills let consumers ask about pharmaceutical-company-sponsored prescription medications, yoga, illnesses and much more.<\/p>\n

Before we begin asking these devices to diagnose an ailment or provide treatment suggestions, however, some advancements will be needed. In particular, all answers may not be created equal, particularly when it comes to how they may be influenced by those building the software. Secondly, these applications need to be designed in a way to be truly focused on the healthcare consumer.<\/p>\n

Head Games<\/strong><\/span><\/p>\n

Using natural language processing, smart speakers and artificial intelligence (AI), digital assistants can understand much of what we say and respond. Over time, they will get smarter, and their capabilities and the uses for smart speakers will increase dramatically.<\/p>\n

The problem is, it\u2019s well-known that societal biases, both intended and unintended,\u00a0can creep into AI systems<\/a>. Bias can emanate from humans themselves and from the historical data used to train the algorithm. Consider, for example,\u00a0algorithms used by universities to assess admissions<\/a>. If the training data reflects bias from previous admissions procedures, like gender discrimination, these biases must be corrected, or they\u2019ll persist. Bias can also stem from self-learning AI systems that create new AI systems, resulting in biases that multiply over subsequent generations of computer code.<\/p>\n

Compounding the bias problem is that although humans create AI, we don\u2019t always understand how it arrives at specific answers. This lack of transparency makes it difficult to not only eliminate bias\u00a0but also to instill trust.<\/a><\/p>\n

As we\u2019ve said\u00a0in a recent report<\/a>\u00a0and\u00a0webinar<\/a>, ethics will become particularly important as AI becomes more ubiquitous, and as AI systems increasingly learn from one another, not just from the inputs that humans provide. (Click\u00a0here<\/a>\u00a0for a summary of the webinar.)<\/p>\n

Bias Control<\/strong><\/span><\/p>\n

To eliminate or at least minimize AI bias, we need to start before the algorithm is built, with the inputs, themselves. This requires human input and control, as well as ongoing human supervision. As\u00a0we\u2019ve explained<\/a>, this is not as arcane a process as one might think. The concept is familiar to parents who provide feedback and guidance to raise their children to be good members of society, and there are well-understood tools and frameworks from the world of human sciences that can be used to instill ethics into the design and operation of AI.\u201d<\/p>\n

The need to control for bias in the AI world isn\u2019t much different from how medicine has been practiced for years. Healthcare providers are influenced by their biases, as well, and it\u2019s the healthcare consumer\u2019s responsibility (and in her best interest) to understand how a course of treatment may affect her.<\/p>\n

Further, from healthcare\u2019s point of view, bias may have nothing to do with race, gender, age or any number of other identifiers that make us all different. Instead, it may be the way healthcare consumers are perceived: Are we patients? Sufferers? Survivors? Consumers? Or some combination?<\/p>\n

Those supplying the answers to smart speakers would do well to view their customers as everyday people simply looking for information. As\u00a0Sebastian Jespersen<\/a>, who writes frequently on the relationship between brands and people,\u00a0points out<\/a>, few of us will want to know about products during our first healthcare encounter with a smart speaker. Rather we\u2019re more interested in learning about a specific illness or injury as we make a query. Digital healthcare solutions, he says, should be designed with a focus not on a product, nor on a person who\u2019s suffering, but on the consumer as a human being.<\/p>\n

Human-Centered Solutions<\/strong><\/span><\/p>\n

In addition to the problem of bias, to make a significant impact on healthcare delivery, smart speakers must do more, more quickly, than what we\u2019d expect from a human-based encounter.<\/p>\n

For example,\u00a0one hospital uses smart speakers in patient rooms to expedite answers<\/a>\u00a0to common questions. But does it really work in a new way? Or is the smart speaker just a different way of getting the same old answers? Patients can ask for a nurse, but the smart speaker still can\u2019t tell the patient how long the wait will be. Or they can ask \u201cwhat is my diet<\/a>,\u201d and the response will be a \u201cbland diet.\u201d But is this really the wording most patients would use, or would they say, \u201cWhat can I eat today?\u201d And do they want to know what type of diet to follow, or specific foods and meals they can safely eat?\u00a0 Both the answer and the question are constructed from the healthcare provider\u2019s point of view, not the patient\u2019s. The system would be better off being more empathetic toward what people really need at that moment in time.<\/p>\n

With the number of smart speakers worldwide expected to grow \u2013 and\u00a0retailers slashing prices to push acceptance<\/a>\u00a0\u2013 there\u2019s no doubt a smart speaker will become your BFF sooner or later.<\/p>\n

But as is the case with many emerging technologies, we\u2019re not quite there yet. Developers of these systems must address challenges like AI bias, providing answers that are customer-focused and, finally, designing applications that are truly focused on the healthcare consumer.<\/p>\n

\n

Originally published here.<\/a><\/p>\n

More thought leadership <\/i><\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Developers of smart speaker systems for healthcare consumers must address challenges like AI bias and human-centered application design. \u201cI was so tired, I started talking to Alexa.\u201d I can\u2019t tell you how many times I\u2019ve heard people refer to Alexa as something more than a […]<\/p>\n","protected":false},"author":11,"featured_media":30259,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"class_list":["post-30145","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","topic-healthtech","topic-ai"],"acf":[],"yoast_head":"\nWhat will it take to make a healthcare bot your new best friend? | Digital Leaders<\/title>\n<meta name=\"description\" content=\"Developers of smart speaker systems for healthcare consumers must address challenges like AI bias and human-centered application design.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/digileaders.com\/what-will-it-take-to-make-a-healthcare-bot-your-new-best-friend\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What will it take to make a healthcare bot your new best friend?\" \/>\n<meta property=\"og:description\" content=\"Developers of smart speaker systems for healthcare consumers must address challenges like AI bias and human-centered application design.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/digileaders.com\/what-will-it-take-to-make-a-healthcare-bot-your-new-best-friend\/\" \/>\n<meta property=\"og:site_name\" content=\"Digital Leaders\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/digitalleadersprogramme\" \/>\n<meta property=\"article:published_time\" content=\"2020-03-25T11:02:53+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-22T18:06:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/digileaders.com\/wp-content\/uploads\/2020\/03\/photo-1572460041714-49f1f551ad38-2.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"800\" \/>\n\t<meta property=\"og:image:height\" content=\"381\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"helena.larsen\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"What will it take to make a healthcare bot your new best friend?\" \/>\n<meta name=\"twitter:description\" content=\"Developers of smart speaker systems for healthcare consumers must address challenges like AI bias and human-centered application design.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/digileaders.com\/wp-content\/uploads\/2020\/03\/photo-1572460041714-49f1f551ad38-2.jpeg\" \/>\n<meta name=\"twitter:creator\" content=\"@DigiLeaders\" \/>\n<meta name=\"twitter:site\" content=\"@DigiLeaders\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"helena.larsen\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/digileaders.com\/what-will-it-take-to-make-a-healthcare-bot-your-new-best-friend\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/digileaders.com\/what-will-it-take-to-make-a-healthcare-bot-your-new-best-friend\/\"},\"author\":{\"name\":\"helena.larsen\",\"@id\":\"https:\/\/digileaders.com\/#\/schema\/person\/2da837c2b8c9912d5c8e0c6ba7458c1e\"},\"headline\":\"What will it take to make a healthcare bot your new best friend?\",\"datePublished\":\"2020-03-25T11:02:53+00:00\",\"dateModified\":\"2024-03-22T18:06:34+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/digileaders.com\/what-will-it-take-to-make-a-healthcare-bot-your-new-best-friend\/\"},\"wordCount\":1018,\"publisher\":{\"@id\":\"https:\/\/digileaders.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/digileaders.com\/what-will-it-take-to-make-a-healthcare-bot-your-new-best-friend\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/digileaders.com\/wp-content\/uploads\/2020\/03\/photo-1572460041714-49f1f551ad38-1.jpeg\",\"inLanguage\":\"en-GB\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/digileaders.com\/what-will-it-take-to-make-a-healthcare-bot-your-new-best-friend\/\",\"url\":\"https:\/\/digileaders.com\/what-will-it-take-to-make-a-healthcare-bot-your-new-best-friend\/\",\"name\":\"What will it take to make a healthcare bot your new best friend? 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