𝖭𝖾𝗎𝗋𝗂𝖲𝗂𝗀𝗁𝗍 𝗂𝗌 𝖻𝗎𝗂𝗅𝖽𝗂𝗇𝗀 𝖺 𝗇𝗎𝗋𝗌𝖾-𝖼𝖾𝗇𝗍𝖾𝗋𝖾𝖽 𝖾𝖺𝗋𝗅𝗒-𝗐𝖺𝗋𝗇𝗂𝗇𝗀 𝗆𝖾𝖺𝗌𝗎𝗋𝖾𝗆𝖾𝗇𝗍 𝗉𝗅𝖺𝗍𝖿𝗈𝗋𝗆 𝖿𝗈𝗋 𝗂𝗇𝗉𝖺𝗍𝗂𝖾𝗇𝗍 𝗉𝗌𝗒𝖼𝗁𝗂𝖺𝗍𝗋𝗒. 𝖮𝗎𝗋 𝗀𝗈𝖺𝗅 𝗂𝗌 𝗍𝗈 𝗁𝖾𝗅𝗉 𝗍𝖾𝖺𝗆𝗌 𝗌𝗁𝗂𝖿𝗍 𝖿𝗋𝗈𝗆 𝗋𝖾𝖺𝖼𝗍𝗂𝗏𝖾 𝖼𝗋𝗂𝗌𝗂𝗌 𝗋𝖾𝗌𝗉𝗈𝗇𝗌𝖾 𝗍𝗈 𝖾𝖺𝗋𝗅𝗂𝖾𝗋 𝗋𝖾𝖼𝗈𝗀𝗇𝗂𝗍𝗂𝗈𝗇 𝖺𝗇𝖽 𝗌𝖺𝖿𝖾𝗋 𝗌𝗍𝖺𝗇𝖽𝖺𝗋𝖽𝗂𝗓𝖾𝖽 𝖾𝗌𝖼𝖺𝗅𝖺𝗍𝗂𝗈𝗇 𝗆𝖺𝗇𝖺𝗀𝖾𝗆𝖾𝗇𝗍. 𝖶𝖾 do this by fusing medical grade ambient physiological and behavioral monitoring with routine clinical documentation and machine learning, 𝗍𝗁𝖾𝗇 𝗉𝗋𝖾𝗌𝖾𝗇𝗍 𝗂𝗇𝗌𝗂𝗀𝗁𝗍𝗌 𝗂𝗇 𝖺 𝗅𝗂𝗀𝗁𝗍𝗐𝖾𝗂𝗀𝗁𝗍 𝖽𝗂𝗌𝗉𝗅𝖺𝗒 𝖽𝖾𝗌𝗂𝗀𝗇𝖾𝖽 𝗍𝗈 𝖿𝗂𝗍 𝗋𝖾𝖺𝗅 𝗎𝗇𝗂𝗍 𝗐𝗈𝗋𝗄𝖿𝗅𝗈𝗐𝗌. 

𝖶𝗁𝖺𝗍 𝗐𝖾 𝖽𝗈:
• 𝖣𝖾𝗏𝖾𝗅𝗈𝗉 𝗋𝖾𝗌𝖾𝖺𝗋𝖼𝗁-𝗀𝗋𝖺𝖽𝖾 𝖽𝖺𝗍𝖺 𝗉𝗂𝗉𝖾𝗅𝗂𝗇𝖾𝗌 𝗍𝗁𝖺𝗍 𝖼𝖺𝗇 𝗈𝗉𝖾𝗋𝖺𝗍𝖾 𝗂𝗇 𝗋𝖾𝖺𝗅 𝗂𝗇𝗉𝖺𝗍𝗂𝖾𝗇𝗍 𝗐𝗈𝗋𝗄𝖿𝗅𝗈𝗐𝗌.
• 𝖢𝗋𝖾𝖺𝗍𝖾 𝗍𝗋𝖺𝗇𝗌𝗉𝖺𝗋𝖾𝗇𝗍, 𝗇𝗎𝗋𝗌𝖾-𝖼𝖾𝗇𝗍𝖾𝗋𝖾𝖽 𝗋𝖾𝗌𝖾𝖺𝗋𝖼𝗁 𝖽𝗂𝗌𝗉𝗅𝖺𝗒𝗌 𝖿𝗈𝗋 𝖾𝗌𝖼𝖺𝗅𝖺𝗍𝗂𝗈𝗇 𝗅𝖺𝖻𝖾𝗅𝗂𝗇𝗀 𝖺𝗇𝖽 𝗆𝖾𝖺𝗌𝗎𝗋𝖾𝗆𝖾𝗇𝗍.
• 𝖰𝗎𝖺𝗇𝗍𝗂𝖿𝗒 𝖿𝖾𝖺𝗌𝗂𝖻𝗂𝗅𝗂𝗍𝗒 𝖻𝖾𝗇𝖼𝗁𝗆𝖺𝗋𝗄𝗌 (𝖽𝖺𝗍𝖺 𝗒𝗂𝖾𝗅𝖽, 𝗌𝗂𝗀𝗇𝖺𝗅 𝗊𝗎𝖺𝗅𝗂𝗍𝗒, 𝗅𝖺𝖻𝖾𝗅𝗂𝗇𝗀 𝗋𝖾𝗅𝗂𝖺𝖻𝗂𝗅𝗂𝗍𝗒, 𝗎𝗉𝗍𝗂𝗆𝖾, 𝗎𝗌𝖺𝖻𝗂𝗅𝗂𝗍𝗒) 𝖺𝗇𝖽 𝖾𝗆𝗉𝗂𝗋𝗂𝖼𝖺𝗅𝗅𝗒 𝗀𝗋𝗈𝗎𝗇𝖽𝖾𝖽 𝗅𝖾𝖺𝖽-𝗍𝗂𝗆𝖾 𝖽𝗂𝗌𝗍𝗋𝗂𝖻𝗎𝗍𝗂𝗈𝗇𝗌 𝗍𝗈 𝗂𝗇𝖿𝗈𝗋𝗆 𝖿𝗎𝗍𝗎𝗋𝖾 𝗌𝖾𝗋𝗏𝗂𝖼𝖾𝗌/𝗂𝗆𝗉𝗅𝖾𝗆𝖾𝗇𝗍𝖺𝗍𝗂𝗈𝗇 𝗌𝗍𝗎𝖽𝗂𝖾𝗌.

𝖶𝗁𝗈 𝗐𝖾 𝗉𝖺𝗋𝗍𝗇𝖾𝗋 𝗐𝗂𝗍𝗁:
I𝗇𝗉𝖺𝗍i𝖾𝗇𝗍 𝗉𝗌𝗒𝖼𝗁𝗂𝖺𝗍𝗋𝗂𝖼 𝗎𝗇𝗂𝗍𝗌, 𝗁𝗈𝗌𝗉𝗂𝗍𝖺𝗅 𝗂𝗇𝗇𝗈𝗏𝖺𝗍𝗂𝗈𝗇 𝗍𝖾𝖺𝗆𝗌, 𝖺𝗇𝖽 𝖺𝖼𝖺𝖽𝖾𝗆𝗂𝖼 𝖼𝗈𝗅𝗅𝖺𝖻𝗈𝗋𝖺𝗍𝗈𝗋𝗌 𝗂𝗇𝗍𝖾𝗋𝖾𝗌𝗍𝖾𝖽 𝗂𝗇 𝗌𝖺𝖿𝖾𝗍𝗒, 𝗊𝗎𝖺𝗅𝗂𝗍𝗒 𝗂𝗆𝗉𝗋𝗈𝗏𝖾𝗆𝖾𝗇𝗍, 𝖺𝗇𝖽 𝗆𝖾𝖺𝗌𝗎𝗋𝖾𝗆𝖾𝗇𝗍 𝗂𝗇𝖿𝗋𝖺𝗌𝗍𝗋𝗎𝖼𝗍𝗎𝗋𝖾.

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