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Healthcare Picture Archiving and Communication System (PACS) Market: Analysis of Upcoming Trends and Current Growth Scenario by 2031

Markets and Research 2024

Markets and Research 2024

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The "Healthcare Picture Archiving and Communication System (PACS) Market" research report for 2024 delivers a meticulous and comprehensive analysis of the industry, focusing on Types, Applications and Regions. With [101] pages of insightful information, the report illuminates’ current trends, emerging opportunities, potential risks, and key drivers shaping market expansion. Emphasizing the Compound Annual Growth Rate (CAGR) status, it provides invaluable insights into historical and anticipated performance. Serving as a vital resource for businesses, the report offers a holistic overview of market dynamics, a robust SWOT analysis, and a strategic roadmap to empower companies in navigating their future path with confidence and success in the dynamic landscape of the Healthcare Picture Archiving and Communication System (PACS) market.

Who is the largest manufacturers of Healthcare Picture Archiving and Communication System (PACS) Market worldwide?

  • Agfa-Gevaert
  • Fujifilm
  • Siemens Healthineers
  • Change Healthcare
  • Carestream Health
  • Ashva Digital Healthcare
  • Visage Imaging
  • CERNER
  • Esaote SpA
  • PaxeraHealth
  • INFINITT Healthcare
  • Dell
  • Koninklijke Philips (Philips Healthcare)
  • Sectra AB
  • GE Healthcare

 

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Global Healthcare Picture Archiving and Communication System (PACS) Market size was valued at USD Million in 2023 and is expected to reach USD Million in 2032, growing at a CAGR from 2023 to 2032.

What are the factors driving the growth of the Healthcare Picture Archiving and Communication System (PACS) Market?

Growing demand for below applications around the world has had a direct impact on the growth of the Healthcare Picture Archiving and Communication System (PACS)

  • Hospital
  • Clinics
  • Others

 

What are the types of Healthcare Picture Archiving and Communication System (PACS) available in the Market?

Based on Product Types the Market is categorized into Below types that held the largest Healthcare Picture Archiving and Communication System (PACS) market share In 2024.

  • Cloud-based PACS
  • On-premise PACS

 

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Short Description about Healthcare Picture Archiving and Communication System (PACS) Market:

Global Healthcare Picture Archiving and Communication System (PACS) market report provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market. The Healthcare Picture Archiving and Communication System (PACS) industry trends and marketing channels are analyzed. Finally, the feasibility of new investment projects is assessed and overall research conclusions offered. The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.

Regional Segmentation:

  • North America (United States, Canada and Mexico)
  • Europe (Germany, UK, France, Italy, Russia and Turkey etc.)
  • Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
  • South America (Brazil, Argentina, Columbia etc.)
  • Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

 

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Healthcare Picture Archiving and Communication System (PACS) Market: Drivers and Restraints:

The report provides valuable information on the production costs, supply chain dynamics, and raw materials that are essential to the Healthcare Picture Archiving and Communication System (PACS) market. It also analyses the impact of COVID-19 on the industry and provides recommendations on how businesses can adapt to the changing market conditions. The report identifies key market restraints, such as economic constraints in emerging countries and business market obstacles. By understanding these risks and challenges, businesses can develop strategies to mitigate them and achieve long-term success in this exciting and dynamic industry.

Healthcare Picture Archiving and Communication System (PACS) Market Report Highlights:

  • A comprehensive look at the Healthcare Picture Archiving and Communication System (PACS) Industry
  • Changing Healthcare Picture Archiving and Communication System (PACS) market trends in the global industry
  • Historical and forecast size of the Healthcare Picture Archiving and Communication System (PACS) market in terms of Revenue (USD Million)
  • Detailed market segmentation analysis at a various level such as type, application, end-user, and regions
  • Current Healthcare Picture Archiving and Communication System (PACS) industry growth and market trends
  • Key player analysis and Competitive Landscape analysis for the Healthcare Picture Archiving and Communication System (PACS) market
  • Key Product presents by Major players and business strategies used
  • Key challenges encountered by operating players in the market space
  • Analysis of major opportunities and risk factors linked with the market operations

 

Following Key Questions Covered:

  • What are the primary growth catalysts within the Healthcare Picture Archiving and Communication System (PACS) market, and how do they exhibit variations across different regions and segments?
  • How do ongoing technological advancements and innovations impact the Healthcare Picture Archiving and Communication System (PACS) market, and what fresh prospects and challenges do they usher in?
  • Which market participants currently dominate in terms of market share and pioneering product developments, and what strategies do they employ to sustain their market positions?
  • What foreseeable shifts in regulations and policies might influence the Healthcare Picture Archiving and Communication System (PACS) market, and how are industry stakeholders adapting in response?
  • What emerging trends and disruptive factors are poised to mold the future of the Healthcare Picture Archiving and Communication System (PACS) market, and how can businesses proactively position themselves to stay ahead?
  • How are evolving consumer preferences and behaviors shaping the Healthcare Picture Archiving and Communication System (PACS) landscape, and what implications do these evolving trends hold for market players?

 

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Some Point covered From TOC:

1 Healthcare Picture Archiving and Communication System (PACS) Market Overview

2 Global Healthcare Picture Archiving and Communication System (PACS) Market Landscape by Player

3 Healthcare Picture Archiving and Communication System (PACS) Upstream and Downstream Analysis

4 Healthcare Picture Archiving and Communication System (PACS) Manufacturing Cost Analysis

5 Market Dynamics

6 Players Profiles

7 Global Healthcare Picture Archiving and Communication System (PACS) Sales and Revenue Region Wise (2017-2024)

8 Global Healthcare Picture Archiving and Communication System (PACS) Sales, Revenue (Revenue), Price Trend by Type

9 Global Healthcare Picture Archiving and Communication System (PACS) Market Analysis by Application

10 Global Healthcare Picture Archiving and Communication System (PACS) Market Forecast (2024-2031)

11 Research Findings and Conclusion

12 Appendix

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A Completely Cohesive Radiology Workflow – RIS, PACS, AND AI

Script All DNA Technologies

Script All DNA Technologies

3,345 followers

Just a couple of days back, Script All DNA Technologies had conducted a poll regarding integrating AI with RIS, and how that could support radiologists in making final decisions and diagnoses. Participants were asked if they would be apprehensive / somewhat concerned / perfectly OK with AI impacting radiologists’ decisions, especially with the controversies surrounding AI bias. 70% of the participants responded that they were somewhat concerned, 10% were downright apprehensive, and 20% were perfectly OK having AI support radiologists.

Even though the participants who responded that they were concerned/apprehensive are justified in their thinking, the fact remains that more and more radiology centers are opting to have AI integrated in their workflow. Using AI allows for more dynamic and scalable solutions, providing radiologists with additional support and data to make more informed, deeper, and relevant decisions regarding patient health.

According to the study entitled ‘Artificial intelligence in radiology’ released by Ahmed Hosy, Chintan Parmer et al, in Nature Reviews Cancer, AI methods excel at ‘automatically recognizing complex patterns in imaging data and providing quantitative, rather than qualitative, assessments of radiographic characteristics’. Another study, ‘Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison with 101 Radiologists’ by Rodriguez-Ruiz et al, found that ‘the performance of the AI system was statistically noninferior to that of the average of the 101 radiologists’. The AI system had a 0.840 (95% confidence interval [CI] = 0.820 to 0.860) area under the ROC curve and the average of the radiologists was 0.814 (95% CI = 0.787 to 0.841). In layman language, this basically means that AI can substantially maximize a radiologist’s decision-making ability when integrated with the PACS/RIS system. However, this by no means indicates that AI will replace radiologists, but yes, radiologists that utilize AI will be able to deliver greater value.

How does AI support a radiology workflow?

AI has the ability to take over simple and repetitive tasks that radiologists usually need to do. This gives the radiologist more free time for consultations and conversations with patients, resulting in increased value and efficiency. The Department of Imaging at University of Antwerp is using an AI-integrated radiology workflow for a few years. With the help of AI, the radiologists are able to detect intracranial hemorrhages; AI identifies high-density lesions and highlights them to the radiologists so they can easily spot the abnormalities. This drastically reduces the chances of a radiologist missing out on the lesions with the naked eye and causing a judgmental error.

What does integrating AI with PACS/RIS look like?

Interested in learning how an AI-integrated radiology workflow will function? It all depends on how seamless the integration is, without any downtime or heavy IT support. Those imaging centers using AI will have a smoother experience in terms of generating results. This is because the AI software is always going to be on, functioning in the background, and collecting, analyzing, and categorizing data for the radiologists before the day even begins. In addition to this, AI-integrated system will flag the urgent cases first, ensuring that cases are dealt with on a priority-basis.

There are significant benefits to integrating AI with RIS/PACS. In addition to what has already been outlined, having an integrated workflow results in faster, more accurate, consistent, and patient-centric diagnosis that has been completed within defined-parameters, keeping urgency in mind. AI is no doubt critical in radiology and will pave the way for radiologists in the future by redefining collaborative patient care alongside deeper medical capability.