Global Digital Assistant in Healthcare Market Share, Trends and Forecast to 2026

The global digital assistant in healthcare market is projected to exhibit a significant growth, at a CAGR of around 35.0%, during the forecast period. AI-based chat bots and other applications further support in providing care to an individual by offering nursing assistance facility even after discharge from the hospital. This feature aids in simplifying the facility of outpatient services along with an increase in monitoring patient compliance after discharge of a patient. AI-enabled virtual nursing assistance services can be accessed on smartphones and on other wearable devices, through which it reminds patient regarding their routinely medications, and encourage patient to follow routine exercises. Furthermore, it has an ability to answer medical clarifications posed by patients and inform care providers regarding unforeseen incidents such as sudden increase or decrease in blood pressure and others.

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AI is further used to make bots which assist in the areas such as scheduling an appointment, medical billing, and other clinical requests, which significantly reduces the overall time and administrative costs for hospitals. The use of AI technology in health care is anticipated to soar over the globe in the near future, which includes a supportive care at patient’s home. Moreover, people are gradually becoming more comfortable regarding the sharing of their personal data, owing to increasing social media sector and the introduction of a range of consumer health monitors such as Fitbit. However, the number is anticipated to increase with the rising adoption of voice-enabled assistant devices such as the Amazon Echo and Google Home, which in turn, will offer growth to the global digital assistant in healthcare market.
University Hospital of Montreal Research Center (CRCHUM) has developed the first virtual nursing assistance program, named TAVIE, aimed at providing self-care facility, which further includes providing skills to the patients for insuring proper management of their diseases. The program consists of providing skills to patients for managing their chronic health problems via interactive web-sessions assigned by a nurse. TAVIE further focuses on assisting patients in self-observation, self-management, emotional-regulation, along with social-skills learning processes. Furthermore, the program has been suggested to the HIV patients, with a separate program developed for them, named HIV-TAVIE, which focuses on aiding patients to improve the management of their antiretroviral medications.

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NLP assists in the discovery and analysis of medical information and access the data. It provides diagnostic assistance to patients as it enables in providing diagnostic suggestions. Through the NLP technology, the models are trained on medical terminology and data, which in turn, creates conversation between doctor and patient. It automates image captioning and generates report through images or X-rays. The AI understands electronic health records and medical images that are being captured by NLP technology. Furthermore, the NLP technology provides real time vocal communication which will be expanded through AI conversational solutions.

Global Digital Assistant in Healthcare Market-Segmentation

By Product

• Smart Speakers
• Chatbots

By Application

• Diagnosis
• Virtual Nursing Assistance
• Patient Tracking
• Drug Dosage
• Others (Medical Calculators and Reference)

Global Digital Assistant in Healthcare Market– Segment by Region

North America

• The US
• Canada

Europe

• Germany
• UK
• France
• Spain
• Italy
• Rest of Europe

Asia-Pacific

• China
• Japan
• India
• Rest of Asia-Pacific

Rest of the World

• Latin America
• Middle East & Africa

Company Profiles

• Amazon Web Services, Inc.
• Babylon Healthcare Services Ltd.
• Care Angel, Inc.
• Cisco Systems, Inc.
• eGain Corp.
• IBM Corp.
• Infermedica Sp. z o.o.
• Kore.ai, Inc.
• Medwhat.com, Inc.
• Microsoft Corp.
• Next IT Corp.
• Notable Health (Zealth, Inc.)
• Nuance Communications, Inc.
• Orbita, Inc.
• Rx.Health, Inc.
• Sensely, Inc.
• Suki AI, Inc.
• Zebra Medical Vision Ltd.

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