North America has the largest market share of cloud in healthcare technologies market. Most of the market players are based in North America and there is awareness about advantages of using the cloud in healthcare technologies techniques, better healthcare infrastructure, government push for incorporating healthcare in IT and high healthcare expenditure. Europe also has a good market share due to high awareness and good healthcare infrastructure.
The global cloud in healthcare technologies market is poised to grow in 2017-2023. The various reasons for the growth of the cloud in healthcare technologies market are increased need to improve healthcare services, availability of high-speed internet, growing demand for strict regulatory compliance and higher investment from private players and government organizations.
Cloud is used in healthcare technologies to manage the huge amount of data that is generated as a result of healthcare services. Cloud computing improves real-time data collection and increases efficiency and accessibility to data. It is widely used in remote patient monitoring. Cloud computing stores manage and process data for various locations and provide hosted services over the Internet.
Patients are becoming more aware of their health and demand a bigger level of interaction. They want to be able to access information, products, and services from their mobile devices and desktops. Cloud computing can help out healthcare companies with interaction and provide customer satisfaction.
Cloud in healthcare technologies market is segmented on the basis of geography, end user, service model, deployment model, and application. End users for cloud computing in healthcare are either healthcare provider or healthcare payer. Various service models that are offered are software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). Deployment model for healthcare cloud computing can be a public cloud or private cloud or hybrid cloud.
Classification of healthcare cloud computing on the basis of applications is either Clinical Information System (CIS) or Nonclinical information System (NCIS). CIS is further classified into Electronic Medical Records (EMR), Picture Archiving and Communication System (PACS), Radiology Information System (RIS), Computerized Physician Order Entry (CPOE), Laboratory Information System (LIS) and Pharmacy Information System (PIS). NCIS is further classified into Revenue Cycle Management (RCM), Automatic Patient Billing (APB), Cost Accounting, Payroll Management Systems and Claims Management.
Market drivers for cloud in healthcare technologies are business agility in the healthcare segment, need for a healthcare organization to store big data, growth of remote patient monitoring, availability of high-speed internet, growing demand for strict regulatory compliance, reforms for health care IT in various countries and higher investment from private players and government organizations.
Clinical information system (CIS) has the largest market share in terms of application and it is expected to continue growing at a steady pace in the forecast period. The private cloud has the highest market share currently and it will report good growth during 2017-2023. SaaS and healthcare provider segments have the largest market share, currently, for deployment model and end user respectively.
Factors that will restrain market growth are the security of patient data that is on the cloud, data portability complications, rising number of cloud data breaches, legal barriers, and ethical issues.
The major market players for cloud in healthcare technologies are Athena health Inc., Carecloud Corporation, Cleardata Networks Inc., Carestream Health, Dell Inc., GNAX Health, IBM Corporation, Iron Mountain Inc., Merge Healthcare Inc. and VMWare Inc. Companies are forming alliances and are going for mergers and acquisitions to strengthen their market position. Organizations are investing in research and development to come up with novel and innovative products that will capture new market share.
1. RESEARCH SCOPE
1.1. STUDY GOALS
1.2. SCOPE OF THE MARKET STUDY
1.3. WHO WILL FIND THIS REPORT USEFUL?
1.4. STUDY AND FORECASTING YEARS
2. RESEARCH METHODOLOGY
2.1. SOURCES OF DATA
2.2. BOTTOM UP APPROACH
2.3. TOP DOWN APPROACH
2.4. DATA TRIANGULATION
3. EXECUTIVE SUMMARY
3.1. MARKET SUMMARY
3.2. KEY FINDINGS
3.3. PRODUCT BENCHMARKING
4. MARKET OVERVIEW
4.1. DRIVERS AND IMPACT
4.2. RESTRAINS AND IMPACT
5. NORTH AMERICA
5.1.3. REST OF NORTH AMERICA
6. MARKET BY SERVICE MODEL
6.1. SOFTWARE AS A SERVICE (SAAS)
6.2. INFRASTRUCTURE AS A SERVICE (IAAS)
6.3. PLATFORM AS A SERVICE (PAAS)
7. MARKET BY END USER
7.1. HEALTHCARE PROVIDER
7.2. HEALTHCARE PAYER
8. MARKET BY APPLICATION
8.1. CLINICAL INFORMATION SYSTEM (CIS)
8.1.1. ELECTRONIC MEDICAL RECORD (EMR)
8.1.2. PICTURE ARCHIVING & COMMUNICATION SYSTEM (PACS)
8.1.3. RADIOLOGY INFORMATION SYSTEM (RIS)
8.1.4. COMPUTERIZED PHYSICIAN ORDER ENTRY (CPOE)
8.1.5. LABORATORY INFORMATION MANAGEMENT SYSTEM (LIMS)
8.1.6. PHARMACY INFORMATION SYSTEM (PIS)
8.2. NON CLINICAL INFORMATION SYSTEM (NCIS)
8.2.1. REVENUE CYCLE MANAGEMENT (RCM)
8.2.2. AUTOMATIC PATIENT BILLING (APB)
8.2.3. PAYROLL MANAGEMENT SYSTEM
8.2.4. CLAIMS MANAGEMENT
8.2.5. COST ACCOUNTING
9. MARKET BY DEPLOYMENT MODEL
9.1. PRIVATE CLOUD
9.2. PUBLIC CLOUD
9.3. HYBRID CLOUD
10. KEY ANALYTICAL
10.1. 5 FORCE ANALYSIS
10.2. TOP THREE MARKET TRENDS
10.3. TOP THREE GEOGRAPHIES
10.4. TOP THREE MARKET ANALYSIS
10.5. MERGERS AND ACQUISITIONS
11. COMPETITIVE ANALYSIS
11.1. ATHENAHEALTH, INC.
11.2. CARECLOUD CORPORATION
11.3. CLEARDATA NETWORKS, INC.
11.4. CARESTREAM HEALTH
11.5. DELL INC.
1.1. NORTH AMERICA
1.1.3. REST OF NORTH AMERICA
2. MARKET BY SERVICE MODEL
2.1. SOFTWARE AS A SERVICE (SAAS)
2.2. INFRASTRUCTURE AS A SERVICE (IAAS)
2.3. PLATFORM AS A SERVICE (PAAS)
3. MARKET BY END USER
3.1. HEALTHCARE PROVIDER
3.2. HEALTHCARE PAYER
4. MARKET BY APPLICATION
4.1. CLINICAL INFORMATION SYSTEM (CIS)
4.1.1. ELECTRONIC MEDICAL RECORD (EMR)
4.1.2. PICTURE ARCHIVING & COMMUNICATION SYSTEM (PACS)
4.1.3. RADIOLOGY INFORMATION SYSTEM (RIS)
4.1.4. COMPUTERIZED PHYSICIAN ORDER ENTRY (CPOE)
4.1.5. LABORATORY INFORMATION MANAGEMENT SYSTEM (LIMS)
4.1.6. PHARMACY INFORMATION SYSTEM (PIS)
4.2. NON CLINICAL INFORMATION SYSTEM (NCIS)
4.2.1. REVENUE CYCLE MANAGEMENT (RCM)
4.2.2. AUTOMATIC PATIENT BILLING (APB)
4.2.3. PAYROLL MANAGEMENT SYSTEM
4.2.4. CLAIMS MANAGEMENT
4.2.5. COST ACCOUNTING
5. MARKET BY DEPLOYMENT MODEL
5.1. PRIVATE CLOUD
5.2. PUBLIC CLOUD
5.3. HYBRID CLOUD
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