5 Emerging Technologies Driving Mind Informatics

Health informatics is an integration of information technology and health care services design and delivery. The emergence of new health care technologies provides lots of data to assist professionals to offer quality patient care.
Health informatics professionals must comprehend how data is leveraged, develop effective information tech systems, and share insightful findings and access to information across health organizations.
Various technologies have been driving mind and health informatics over the years. They include:

Artificial Intelligence (AI)

AI is a technology that mimics the cognitive processes of humans. It’s a form of deep learning that makes use of multi-layered neural networks to analyze complex data in large volumes.
The AI market globally was forecasted to increase between 2018 and 2025 from $21.46 billion to $190.61 billion. The AI-based healthcare market was also forecasted to increase between 2016 and 2022 from $667.1 million to $7988.8 million.

 Application in the healthcare industry

 Google DeepMind Health creates mobile and AI tools for mining medical data. It’s aimed at enhancing how health care professionals and hospitals deliver patient care.
DeepMind has partnered with Moorfields Eye Hospital in London to research how an AI algorithm that has been trained with thousands of retinal scans can accurately, promptly, and efficiently assess eye scans than human professionals.
It has also partnered with UCLH, based in London, to study and find out how AI can be used to efficiently identify cancerous cells and other healthy issues through MRI and CT scans of patients. The research targets patients with neck and head cancer for radiotherapy treatment that’s more targeted.
Similarly, Atomwise deploys neural networks for deep learning to identify effective pre-clinical drug candidates that chemists can use to accurately research and make the medication.
With the Atomwise AI technology, chemical compounds are analyzed in billions to maximize effective compounds discovery. This helps reduce the time it takes to do research and make discoveries.

3D Bio-printing

3D bioprinting is the process of printing solid, 3D objects from digital files. The technology utilizes an additive process that involves the use of various materials. They include:

  • Living cells
  • Liquid metals
  • Ceramics
  • Polymers
  • Epoxy resin

The 3D bio-printing market worldwide was forecasted to hit $1.8 billion by 2027. The technology supports related studies that use testing models based on human tissue cells printed in 3D to screen the molecular nature of diseases.

Application in the healthcare industry

Stem cell bio-ink can be used to bio-print living human tissues. The technology has the potential to cut the organ shortage for transplants used to save lives.
The Organovo Company used 3D bio-printed liver tissues to create a human liver model for application in testing and development of medication.
Moreover, patients can receive custom 3D-printed drugs tailored to their unique needs. The FDA-approved Sprint is a good example.

Robotics

Robotics is the use of robotic machines through engineering and design to do fully- or partially-automated physical cognitive functions.
The robotics market globally was forecasted to increase between 2015 and 2019 from $71 billion to $135.4 billion at a 17% rate, annually. The robotics health care market was also projected to increase between 2016 and 2021 from $1.7 billion to $2.8 billion.

Application in the healthcare industry

Da Vinci, a robot-based surgeon-controlled surgical system, is among the robotic machines driving the health and mind informatics market. Designed to use 3D high-definition visuals and minimally-invasive surgical tools to improve control and accuracy.
The market has also seen the emergence of wearable robots such as robot prostheses. They’re used to replace missing limbs. Another example is the robot exoskeletons to help the paralyzed to rehabilitate. They also improve the physical capabilities of patients.
Together with health informatics, robotics allow autonomous data collection. It’s aimed at offering continual and accurate data for professionals in health informatics.
The professionals work in diverse areas of health care, including drug delivery, surgery, patient management, and cognitive rehabilitation.

Cloud Computing

This technology provides access to and delivery of computing services and resources through the internet. The resources include databases, developmental platforms, and analytics.
The global market of cloud computing was projected to rise between 2016 and 2020 from $219.6 to $411.4 billion. The health care cloud computing market was also forecasted to grow between 2017 and 2022 from $20.2 billion to $35 billion.

Application in the healthcare industry

Cloud computing allows for the storage of data in high volumes, reducing costs for healthcare organizations. It also supports real-time sharing of information, improving communication. This is truer when disasters strike.
The technology, doctor interactions, and remote monitoring of patients support the delivery of better patient care. Medical research also improves due to the faster sharing of data.
It’s the same technology that businesses use to store their catalogs and other product details online. For instance, a business selling guns and related accessories has its barrel choices like those at https://www.minutemanreview.com/best-65-creedmoor-barrels/ posted online. A backup of the same data can be stored in the cloud for remote access.

Nanomedicine

Based on nanotechnology, nanomedicine is a molecular structure study. It’s used to create accurate devices for supporting biomedical research and related clinical practice.
Nanomedicine informatics integrates large, complex sets of data at nano levels, smart drug delivery, and deployment of nanoparticles in living organisms.
Cancer research data is shared through a collaborative network of scientists through projects that the Biomedical Informatics Grid of the National Cancer Institute started.

Application in the healthcare industry

Patients can be injected with nanorobots to monitor diseases and deliver drugs into their bloodstream. Therapeutic nanoparticles are also beneficial for cancer patients in delivering more sensitive imaging and diagnosis and enhancing blood circulation.
Mind and health informatics are dependent on patient electronic records (EHRs) and medical data in large volumes. This data can be stored affordably and safely for professionals to access it from anywhere. The technology makes sure professionals have access to data that’s useful, available, and easy to manage.