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SleepScore Labs 推出了基于證據(jù)的睡眠 API 套件，為健康和保健應(yīng)用程序從睡眠數(shù)據(jù)中受益創(chuàng)造了機(jī)會。

SleepScore Labs 已添加該套件作為其軟件即服務(wù) (SaaS) 產(chǎn)品的擴(kuò)展。

SleepScore Labs 與 Lake Nona Impact Forum 合作，推出了 SleepScore API，將其睡眠數(shù)據(jù)與健康和保健應(yīng)用程序無縫鏈接。

這些 API 準(zhǔn)備提供基于證據(jù)的睡眠解決方案，提高參與度，并為用戶帶來更好的結(jié)果。

SleepScore 從 iPhone、Apple Watch、Garmin、Oura 和許多其他設(shè)備收集睡眠數(shù)據(jù) - 也來自其自己的聲納技術(shù)。

SleepScore 首席執(zhí)行官 Colin Lawlor 在給 VentureBeat 的電子郵件中表示，將 SleepScore API 添加到應(yīng)用程序“意味著最終用戶可以獲得有關(guān)睡眠的見解和個性化指導(dǎo)。

更好的睡眠是幾乎所有健康領(lǐng)域結(jié)果的重要驅(qū)動力。

無論是心理健康、健身、減肥還是管理任何慢性疾病，應(yīng)用程序都很難吸引用戶并提供基于證據(jù)的內(nèi)容。”

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我們很高興為我們在洛杉磯舉辦的旗艦活動 GamesBeat Summit 2024 招募發(fā)言人，我們將探討“復(fù)原力和適應(yīng)”的主題。

在此申請發(fā)言

勞勒說，高達(dá) 70% 的美國人對自己的睡眠不滿意，并且不知道如何解決問題。

這是一個如此大的問題，以至于“睡眠”現(xiàn)在成為谷歌搜索排名第一的詞（兩倍于節(jié)食，四倍于運(yùn)動）。

“通過添加這些 API，應(yīng)用程序可以為其服務(wù)提供基于證據(jù)的睡眠見解、內(nèi)容和指導(dǎo)，從而提供更好的結(jié)果。

我們的 SleepScore API 的獨特之處在于它們建立在德國現(xiàn)已批準(zhǔn)報銷的相同證據(jù)基礎(chǔ)之上。

我們的 API 比大多數(shù)健康和保健應(yīng)用程序?qū)崿F(xiàn)了更好的參與度，”Lawlor 說。

該公告是與諾娜湖影響論壇聯(lián)合發(fā)布的，此前 SleepScore Labs 早些時候在其 2019 年論壇上介紹了關(guān)鍵睡眠研究成果。

該公司在以創(chuàng)新和技術(shù)為基礎(chǔ)的健康之家（WHIT）中亮相，這是一個旨在將健康和保健技術(shù)融入日常生活的生活實驗室。

SleepScore API 定位為健康和保健應(yīng)用程序的工具，可挖掘改善睡眠結(jié)果的潛力，同時提高用戶參與度和保留率。

SleepScore Labs 表示，睡眠是 Google 上搜索次數(shù)最多的與健康相關(guān)的詞。

Drawing on a wealth of sleep-related data, including 230-plus scientific studies, 61 peer-reviewed publications, and over 360 million hours of contextual sleep data, SleepScore Labs aims to transform the way users approach sleep.

The SleepScore APIs have demonstrated impressive results, including three to four daily engagements, over 60% retention after 30 days (compared to an 8% industry average), and an additional 10 to 26 hours of sleep per month. Moreover, the APIs have shown a significant up to 48% increase in fitness activity and pioneered the world’s first permanently reimbursed sleep improvement program in Germany, accessible to 74 million publicly insured individuals.

Uma Shivanand, head of product at SleepScore Labs, said in a statement, “We are delighted to bring the power of our evidence-based sleep improvement solutions to the many great health and wellness apps that would benefit from improved engagement, retention, and outcomes. It’s our mission to make a meaningful impact in this vital aspect of people’s lives.”

The SleepScore APIs enable partners to deliver hyper-personalized sleep journeys and coaching deeply rooted in the latest behavioral sleep and circadian science. Backed by two independent studies, including a randomized control trial, these APIs leverage user sleep data to drive transformative sleep habits and outcomes.

While the primary goal of many health and wellness companies may not be improving sleep, numerous independent peer-reviewed publications have emphasized the profound impact of sleep on health and wellness outcomes across various sectors, including fitness, nutrition, mental health, women’s health, longevity, skin care, and chronic conditions.

SleepScore Labs, a trusted sleep research and technology partner, has collaborated with global leaders such as Therabody, Mattress Firm, L’Oreal, IFF, Serta, Malouf, Dormeo, Myndstream, Win Brands, Alen, Swanwick, Smart Nora, and Flexsteel, positioning itself as an industry frontrunner and standard-setter.

Each app makes its own pricing and subscription decisions – our aim being to provide flexible business model options for health & wellness apps as they incorporate the power of sleep into their services.

SleepScore’s DTC app offers a freemium model and full personalized services coaching costs $10 per month or $60 per year.

SleepScore Labs was founded in 2016 by a team of sleep experts from places such as ResMed, Apple, Philips and Harvard. SleepScore Labs has 35 people and it has raised $13 million to date. SleepScore APIs pioneered the world’s first permanently reimbursed sleep improvement program – accessible to 74 million publicly insured people in Germany.

SleepScore has a million users and 360 million hours of sleep data.

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