DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Healthcare: Intellectual Property Landscape" report has been added to ResearchAndMarkets.com's offering.
This report features an extensive study of the historical and current collection of granted patents, patent applications and affiliated documents associated with the upcoming suite of intuitive software and automation enabling solutions, which are designed for use within the healthcare industry.
The information in this report has been presented across two deliverables, namely an Excel sheet, featuring an interactive dashboard, and a PowerPoint presentation, summarizing the ongoing activity in this domain, and key insights drawn from the available data.
The global healthcare sector has been overtly reluctant to embrace technology. This may partially be due to the failure of early digitization efforts, which were fraught with challenges and turned out to be more of a liability rather than a path forward. In fact, according to a study, clinicians ended up spending more than twice as much time on administrative work (49%), such as updating electronic medical records, than on seeing patients (27%). The delivery of modern healthcare services is, therefore, still in many ways obsolete, relying on analog systems and manual execution on simple, repetitive operations.
This situation is challenging for both healthcare providers (resulting in long and arduous work hours, causing medical staff to burn themselves out) and consumers (which is reflected in hurried, inappropriate diagnosis, lack of proper care and delays in treatment administration). Further, experts have predicted that if things don't change significantly, there is likely to be a severe shortage of healthcare workers in the mid to long term.
Similar inefficiencies exist in the pharmaceutical development segment as well, with over USD 800 million being spent on drug discovery alone; a typical product development cycle in this domain lasts close to a decade and costs USD 2.5 billion, on average. However, advances in automation and intuitive software have made it possible for stakeholders to markedly improve operational efficiencies and cut-down on both operational and administrative expenses.
Today, self-learning algorithms are being used to develop AI that can not only help automate various simple and complex tasks but can also assist clinicians in making critical diagnosis / treatment related decisions. It is estimated that over 33% of the tasks that are performed manually by clinicians can be automated, and there are artificially intelligent solutions that are capable of carrying out specialized functions, such as patient triage, without human supervision.
Over the last couple of decades, computer scientists and medical researchers have successfully demonstrated the applications of AI in several diverse aspects of healthcare delivery, including (but not limited to) surgery, drug discovery and hospital / patient data management. The use of self-improving algorithms also guarantees cost savings; experts estimate that savings worth over USD 150 billion can be achieved by 2026, through the adoption of AI-enabled technologies, in the US alone. As a result, a lot of capital and effort are being invested by innovators across the world in this burgeoning field of research. This report attempts to identify key trends that describe the pace and focus of innovation related to healthcare focused AI technologies and solutions.
Companies Mentioned
- 20/20 GeneSystems
- 23andMe
- 360 Knee Systems
- 3D Smile
- 3M
- 3SI Security Systems
- 410Ai
- 7D Surgical
- Aarhus University
- Abbott
- Abiomed
- Abraxis Bioscience
- Accenture
- Access Radiology
- Accessible Conseils
- Acto
- Acupath Laboratories
- Advanced Medical Imaging Development
- Advanced Mobile Payment
- Advanced Neuromodulation Systems
- Advanced Solutions Life Sciences
- AdviNOW Medical
- Advisory Board
- AetharAI
- Affymetrix
- Agency for Science, Technology and Research
- Agilent Technologies
- Agility Capital
- Agios Pharmaceuticals
- Agricultural Information Institute (AII) of Chinese Academy of Agricultural Sciences
- AI Fluidics
- AI Technology
- Aidot
- Air Products
- Ajinomoto
- Akili Biosystems
- Akili Interactive
- Akitra
- Aktana
- AlayaCare
- Alcaris Theranostics
- Alegeus
- Algotec
- Alibaba Group
- Align Technology
- And Many More Companies!
For more information about this report visit https://www.researchandmarkets.com/r/42wjux
