Global Radiology Information System Forecast A radiology information system is a software that manages the data for the hospital's radiology department, clinics, and physicians in an electronic form. This software helps in performing various tasks like scheduling, billing, medical imaging, the track record of patients. It becomes an easier task for the hospital to keep statistical data of a patient or a group of patients from admission to discharge. The radiology information system records a particular financial transaction, electronic claims, and automatic payments. The global demand for a radiology information system is expected to rise due to the rising aging population, improved efficiency, consolidation of healthcare providers, cost-effectiveness, web-based solutions, increased use of cloud computing, increase in the number of chronic diseases, and better results. The physicians and hospitals from anywhere can access the data stored on the radiology information system.
Table of Contents
Chapter 1: Introduction to Radiology Information System Market o
Market Definition
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Market Segmentation
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Macro Economic Factor Analysis
Chapter 2: Executive Summary
Chapter 3: Market Factor Analysis
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Porter’s Five Forces Analysis
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PESTEL Analysis
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Value Chain Analysis
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SWOT Analysis
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Pricing Analysis
Chapter 4: Global Radiology Information System Market Estimation & Forecast By Mode o
Web-Based
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On-Premises
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Cloud-Based
Chapter 5: Global Radiology Information System Market Estimation & Forecast By Product o
Integrated
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Standalone
Chapter 6: Global Radiology Information System Market Estimation & Forecast By End-User o
Outpatient Department (OPD) Clinics
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Hospitals and Clinics
Chapter 7 Global Radiology Information System Market Estimation & Forecast By Region o
North America
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Asia Pacific
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Europe
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EMEA
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Latin America
Chapter 8 Competitive Landscape o
Competition Mapping
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Company Profiles (Suppliers)
Allscripts
Cerner Corporation
Epic Systems
McKesson Corporation
GE Healthcare
Siemens Healthcare
IBM Watson Health
Philips Healthcare
Merge Healthcare
Medinformatix
Chapter 9 Recommendations
Chapter 10 Acronyms and Assumptions
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