Beyond the Pill – Key Disruptive Forces in the Healthcare Industry 5.0

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Key Disruptive Forces in Healthcare Report Overview

The implementation of tailored medicine and virtual healthcare services propel tech-led innovations in healthcare.

Beyond the pill: key disruptive forces in healthcare 5.0, FutureTech series research report categorizes key innovation areas in healthcare as emerging, accelerating, and maturing based on their rate of growth in innovation. It also casts light on patent publications, major geographies, top players, and recent developments in emerging innovation areas such as robotic surgery systems, 3D modeling and rendering, EMR natural language processing, RFID-enabled patient data tracker, and AI-assisted medical imaging. The awareness, knowledge, and expertise in these innovation areas can transform business models, decision-making, and strategic thinking that directly influence research and development, collaboration, acquisition, and investment decisions.

Healthcare Innovation Curve

Healthcare Innovation Curve

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Key Emerging Areas of Innovation in Healthcare

Some of the key emerging areas of innovation in the healthcare sector are AI-assisted magnetic resonance imaging (MRI), AI-assisted medical imaging, 3D modeling and rendering, and RFID-enabled patient data tracker.

AI-assisted magnetic resonance imaging (MRI): AI-assisted magnetic resonance imaging (MRI) refers to the use of AI technologies to help improve the accuracy and efficiency of MRI scans.

AI-assisted medical imaging: AI-assisted medical imaging refers to the use of AI technologies, such as machine learning algorithms and computer vision, to analyze and interpret medical images.

3D modeling and rendering: 3D modeling and rendering refer to the use of various modeling and rendering software technologies to produce 3D models of patient anatomical structures, medical devices, and healthcare facilities.

RFID-enabled patient data tracker: An RFID-enabled patient data tracker refers to a tracker and a system behind it for real-time monitoring of the patient and medical assets associated with them.

To know more about the key emerging areas of innovation in the healthcare sector, download a free report sample

Key Accelerating Areas of Innovation in Healthcare

Some of the key accelerating areas of innovation in the healthcare sector are chiropractic treatment devices, Software as a Medical Device (SaMD), microscopic image analysis models, and clinical decision analysis.

Chiropractic treatment devices: Chiropractic treatment devices are specialized medical devices that are designed to aid chiropractors in the diagnosis, treatment, and management of musculoskeletal conditions.

Software as a Medical Device (SaMD): Software as a Medical Device (SaMD) refers to software products that are intended for use in medical diagnosis, treatment, or management of diseases or conditions.

Microscopic image analysis models: Microscopic image analysis models refer to algorithms or machine learning models that are designed to analyze images captured through microscopy.

Clinical decision analysis: Clinical decision analysis is an approach to decision-making in healthcare, which involves evaluating the evidence and analyzing the risks and benefits of different treatment options.

To know more about the key accelerating areas of innovation in the healthcare sector, download a free report sample

Key Maturing Areas of Innovation in Healthcare

Some of the key maturing areas of innovation in the healthcare sector are interactive exercise system, smart inhalers, medical image processing systems and clinical data management systems.

Interactive exercise system: An interactive exercise system is a software application that provides users with a platform to engage in physical or mental activities through a computer or other electronic device.

Smart inhalers: Smart inhalers are medical devices that use advanced technology to monitor and manage respiratory conditions such as asthma and chronic obstructive pulmonary disease.

Medical image processing systems: Medical image processing systems are a set of software applications that are designed to manipulate, analyze, and visualize medical images.

Clinical data management systems: Clinical data management systems are software applications designed to collect, store, manage, and analyze clinical data in a standardized and efficient manner.

To know more about the key maturing areas of innovation in the healthcare sector, download a free report sample

Key Disruptive Forces in Healthcare Report Overview

Key Emerging Areas AI-Assisted Magnetic Resonance Imaging (MRI), AI-Assisted Medical Imaging, 3D Modeling and Rendering, and RFID-Enabled Patient Data Tracker
Key Accelerating Areas Chiropractic treatment devices, Software as a Medical Device (SaMD), Microscopic Image Analysis Models, and Clinical Decision Analysis.
Key Maturing Areas Interactive Exercise System, Smart Inhalers, Medical Image Processing Systems and Clinical Data Management Systems

Scope

  • Key disruptive forces in the healthcare sector – presents the major drivers, trends, and emerging, accelerating, and maturing innovation areas with disruptive potential in healthcare.
  • Emerging innovation areas – overview of select emerging innovation areas to capture their disruptive potential, innovation drivers, recent developments, patents trends, and top players.
  • Outlook – anticipated tech advancements in healthcare.

Key Highlights

Healthcare major drivers, trends, select innovation areas in healthcare and their leading patent filers, and the disruptive potential of eleven innovation areas as highlighted by innovation drivers, recent developments, patent trends, top players, and forecast for healthcare.

Reasons to Buy

  • GlobalData’s FutureTech Series Reports are aimed at capturing futuristic technologies which have the potential to disrupt tomorrow. These technologies are constantly changing, adapting, and progressing to enable a paradigm shift in our daily lives. The awareness, knowledge, and expertise of these topics help transform business models and strategic thinking with an in-depth understanding of megatrends that can directly influence patenting, collaboration, acquisition, and investment decisions.

3M
77Kc
Abbott Laboratories
Accenture
AcelRx Pharmaceuticals
adidas
Align Technology
Allscripts Healthcare Solutions
Apple
ARC Devices
Arterys
Attenborough Dental Laboratories
Baxter
Bayer
Becton Dickinson
BelfricsBT
BioIntelliSense
Bluefin Payment Systems
Boston Scientific
BostonGene Corp
Brain Trust Innovations I
Canon
Carl Zeiss Stiftung
Ceragem
Chordate Medical Holding
Colgate-Palmolive
Consensus cloud solutions
Corning
Danaher
DEKA Research and Development
Delos Living
Dentsply Sirona
DexCom
EBM
Ekso Bionics Holdings
Embleema
Emovi
Endolumik
Enlitic
Epredia
Expanse Bioinformatics
F. Hoffmann-La Roche
FedEx
Fresenius
Fujifilm
General Electric
Getinge
GuardRFID
Heartflow
HeartVista
HID Global
Hitachi
IBM
iFIT Health & Fitness
Illuminate
InVita Healthcare Technologies
JennyCo
Johnson & Johnson
kaleo
Kardium
Koninklijke Philips
Laboratory Corp of America
Labrador Diagnostics
Lifecycle Technologie
Lifetrack Medical Systems
Masimo Corp
Mate Fertility
Medic vision
Medtronic
Melax Tech
MEPS Real-Time
MHUA
Microsoft
NIKE
Novarad
Novartis
Olympus
Optimized Ortho
Ortoma
Panasonic
Peloton Interactive
Pentax of America
People.ai
Pneuma Respiratory
Qritive
Reactive Robotics
Recruit Holdings
Samsung
sequencing.com
Shanghai United Imaging Healthcare
Siemens
Smith & Nephew
SoftBank Group
Sony
Stryker
Surgical Theater
Synaptive Medical
Tandem Diabetes
Teijin Ltd
Teva Pharmaceutical
The Cleveland Clinic Foundation
Toshiba
UCSF Health
Viz.ai
Waters Corp
YourBio Health
Zimmer Biomet

Table of Contents

Table of Contents

1. Key disruptive forces in the healthcare sector – major drivers, trends, S curve highlighting the emerging, accelerating, and maturing innovation areas, 3-year vs 1-year growth in patent publications for innovation areas, and innovation areas definitions, patent publication trend, and major patent filers.

2. Emerging innovation areas – the disruptive potential of key innovation areas as highlighted by the underlying data signals involving patents, innovation drivers, recent developments, and top players.

3. Outlook – anticipated tech advancements in healthcare.

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