Future Of Health: Voice-Activated Devices Provide Diagnoses At Home
Our partners at Dieste developed the concept for an AI plug-in for voice-activated devices that provides first-step diagnostics in the comfort of your home
In our latest report, The Future of Health, we explore how the role of data in healthcare has evolved from a static into a living profile that grows with patients. To help bring the ideas and actionable take-aways to life, PSFK invited creative studios to leverage report findings and ideate new ways to approach health. The following is a concept our friends at Dieste, who developed the concept for an AI plug-in for voice-activated devices that provides first-step diagnostics in the comfort of your home.
Early signs of health issues often go unnoticed by consumers and only get recognized once they have developed into severe symptoms. In order to improve overall health and prevent the occurrence of illness, consumer vitals need to be monitored more closely.
Laliá is a plug-in for Siri, Alexa and Google Home programmed to listen continuously to the household members and identify inconsistencies in speech and predict early warning signs of illness. Laliá is uploaded to all of the connected voice-activated devices in the home so she can gather the most data on each family member. Laliá is equipped with an algorithm that learns the frequency and amplitude of each voice to determine a baseline of healthy breathing for each member. When she analyzes speech, she looks for patterns of deviation and abnormalities and compares them to the contextual factors. With the Laliá update, Siri tells users that they are short of breath but haven’t registered any physical activity, which prompts questions to help discover if they need emergency help. The plug-in could help listen for emphysema, colds, the flu, bronchitis, lung cancer and speech problems associated with brain tumors, infections or aneurysms.
- Laliá listens to each member of the family and gathers speech data.
- Laliá identifies a baseline for a healthy voice. Whenever Laliá measures a difference in wavelengths and calculates that the consumer’s current voice isn’t matching their normal voice, it begins identifying what is causing the problem.
- Laliá recognizes highly irregular, erratic or random speech patterns and starts listening to other symptoms, pulling contextual data to identify if there is a larger problem developing.
- Laliá diagnoses the problem and makes recommendations to the consumer, either to seek professional healthcare, buy over-the-counter medication or contact emergency services.
Download the Future of Health report now!
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Halle Tecco is a founder and managing director of Rock Health, the first seed fund devoted exclusively to digital health companies. Prior to Rock Health, Halle worked as a business analyst at Intel before moving on to Apple where she worked in the health and medical vertical. Halle is also an adjunct professor at Columbia Business School.
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