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ASUS Life Upgrades Zenbo to Become a Care Nurse by Integrating AiNurse to Provide Solutions for Smart Healthcare and Telecare

ASUS' Zenbo will no longer just be a care assistant at home. In the future, it will become a nurse for patients and caregiver for seniors. In March this year, ASUS Life and IBM Watson announced AiNurse, which significantly upgraded Zenbo's AI system...

ASUS Life Upgrades Zenbo to Become a Care Nurse by Integrating AiNurse to Provide Solutions for Smart Healthcare and Telecare
In March this year, ASUS Life and IBM Watson announced AiNurse, which significantly upgraded ASUS Zenbo's AI system. The Zenbo will no longer just be a care assistant at home. In the future, it will become a nurse for patients and caregiver for seniors. After measuring physiological data using smart medical devices in real-time, Zenbo can analyze the data using AiNurse and provide general disease consultation for the user. Zenbo can also monitor the user's health to expand its service from home to medical and long-term care facilities, providing a complete service from inpatient care assistance to postoperative care tracking. Currently, at least 5 medical centers in Taiwan have adopted Zenbo for medical care applications.
 
In addition, AiNurse can also be turned into virtual care robots. When integrated into a webpage or doll, it can interact with users through text or voice messages. In the hospital, AiNurse integrates electronic patient records to help medical staff with allocating tasks. With all of the measured physiological data synced to the OmniCare data platform, the solutions provided by AiNurse offer a glimpse of the revolution that AI is expected to bring to medical and care applications.
 
ASUS Life says that AiNurse makes long-term care more convenient and efficient for hospitals. As it gradually rounds out its functions in personalized care, it will be able to satisfy more needs of the health care system. In addition to demonstrating the AI functions of AiNurse, ASUS Life will be seeking partners to join the Internet of Medical Devices ecosystem for its OmniCare big data platform at this year's Taiwan Healthcare Expo. ASUS Life is offering medical institutions assistance in introducing and developing smart healthcare applications while also looking for collaborators in providing precision medicine solutions.  More integrated applications for AI and the big data platform are expected to be announced at the Expo at the end of the year. The ASUS group is currently focusing on using the two major platforms - Omnicare and PhenoFinder - to develop new forms of smart medical devices, AI robots, and precision medicine solutions.
 
 
OmniCare - Building a Medical IoT Ecosystem
The OmniCare big data platform connects multiple smart medical devices to perform measurements and tracking. It helps to inform hospitals or health management institutes of the patients' physiological conditions, strengthens telemedicine and health management services, and helps hospitals to develop precision medicine. If the OmniCare API is adopted by hospital systems, hospital data can be transformed into information about clinical needs through big data algorithms in the future. At last year's expo, ASUS Life has found 8 partners for cooperations on integrating smart medical devices.
 
PhenoFinder - A Distributed Database for Clinical Trial
PhenoFinder is a global medical service network developed jointly by ASUS Life and Clinerion. By utilizing its exclusive global cloud infrastructure, the platform solves the issue of integrating information in multinational clinical trials through a data integration platform to improve the efficiency of clinical trials. Meanwhile, pharmaceutical companies developing new drugs can obtain summarized statistical reports through the platform to effectively improve the efficiency of clinical research and shorten new drug development time, ensuring that drugs reach the market faster. A medical center in Taiwan has already joined the PhenoFinder service network, which has now been introduced in nearly 150 hospitals across 8 countries.
 
(Editing by Jim Shih, Research Center for Biotechnology and Medicine Policy)
 
 
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