How Can Your Team Leverage the Growth Opportunities in the Non-Surgical Healthcare Robots Industry?

Regulatory approvals, reimbursement policies, and leasing plans are driving transformational growth by supporting healthcare centers in implementing hospital operations, nursing assistant, and patient assistant robots

Overview

Developed nations and their high-tech hospitals are using various internal logistic robots for managing staff shortages. Larger hospitals adopt these technologies for better inventory management and staff utilization, and for improving workflow efficiency. Developing nations' adoption is still low. There is a growth of smart dispensing robots for out-patients in homes or elder care facilities.

They are modular in design and have inbuilt sensors and AI algorithms that can deliver precise doses and can also send reminders and connect patients to caregivers in case of missed doses or reminders. The internal logistic robots will have applications beyond carrying meals and medications.

It will be able to assist nurses in performing precise tasks such as pipetting, and liquid handling. Smaller and agile robots for faster navigation, and the use of advanced navigation technologies and sensors will be the industry focus in the next 2-3 years.

Due to a lack of interoperability, companies often find difficulty in the integration of new robotic systems with existing infrastructure. Hence it hampers efficiency and productivity due to increased costs in terms of both time and resources. As developers and manufacturers are often confined to proprietary technologies, a lack of interoperability raises challenges in terms of leveraging advancements made by others.

  • As businesses look to expand or diversify robotic operations, What are the various use cases where multiple robot systems might need to work alongside each other, and how will they impact growth?
  • With manufacturing and other industrial processes deploying custom, bespoke robot systems to tackle unique challenges, how can you leverage offerings from multiple OEMs and embrace interoperability to achieve growth?
  • How can your team integrate the data from lab diagnostics, medical records, and wearables into a single platform using AI-based application programming interfaces (APIs) and ensure the growth of robotic assistants used for personalized assistance?

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