Newark, NJ, June 24, 2021 (GLOBE NEWSWIRE) – According to the report published by Fior Markets, the global healthcare data interoperability market is expected to increase from $ 2.83 billion in 2020 and reach $ 5.80 billion by 2028, with a CAGR of 9.38% during the forecast period 2021-2028.
The major reasons driving the growth of the healthcare interoperability market include increasing attention to patient care, a growing need to reduce healthcare costs, and government measures to improve performance. experience of treating patients. The interoperability of systems, the exchange of information and the availability of data are all important factors in improving health outcomes. Individual health data is mobilized by all healthcare providers in healthcare organizations, enabling coordinated, safe and high-quality processing that supports payment reforms, transparency efforts and individuals’ ability to monitor their health. health.
In healthcare, interoperability simply refers to the ability of a device or system to exchange and use electronic data from other devices and systems without requiring special human effort. Healthcare interoperability, also referred to as healthcare data interoperability, refers to the technologies used in patient care to enable the exchange of data to achieve the goals of providing individualized treatment and effective management of the disease. population health.
The use of EHR software is increasing in developed and emerging countries, which will benefit the healthcare data interoperability industry. Due to the growing demand to provide efficient healthcare services, data interoperability software has gained popularity in recent years. Rising healthcare spending will increase demand for data interoperability software, which enables healthcare facilities to access patient medical data, reducing the frequency of repeat testing, and facilitating coordination of healthcare professionals between healthcare providers. services.
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The major players operating in the global healthcare data interoperability market include Orion Health, Allscripts, Cerner Corporation, Smith Medical, Teletracking Technologies. To gain significant market share in the global healthcare data interoperability market, major players are now focusing on adopting strategies such as product innovations, mergers and acquisitions, recent developments, joint ventures , collaborations and partnerships.
The core interoperability segment is expected to be valued at around $ 2.13 billion by 2028
The level segment includes the fundamental, semantic, structural elements. By 2028, the core segment of interoperability is expected to be valued at around $ 2.13 billion. Fundamental interoperability software is used by small hospitals and clinics that cannot afford structural and semantic interoperability software.
Cloud-Based Segment Expected to Show Highest Value of 3.40 Billion by 2028
Based on the deployment, the market has been divided into on-premise, cloud-based. By 2028, the cloud-based interoperability software industry is expected to have the highest value of around $ 3.40 billion. The abundance of benefits provided by cloud-based software may be linked to robust segment expansion.
Treatment segment expected to have highest share of 52.06% by 2028
The application segment includes treatment, diagnosis. By 2028, the processing segment is expected to hold the largest market share of 52.06%. The number of people receiving treatment is increasing as reimbursement is offered for a variety of chronic conditions.
The hybrid segment is expected to have the largest market share of 39.48% in 2028
The models segment includes centralized, decentralized and hybrid models. By 2028, the hybrid segment is expected to have the largest market share of 39.48%. This type of model makes it easy to create a virtual data center that does not require the use of a separate consolidated data center, such as a centralized system, thereby reducing lead times.
Outpatient Surgery Centers Segment Expected to Have Highest Share of 57.05% by 2028
On the basis of end users, the market has been segmented into hospitals, outpatient surgery centers. By 2028, outpatient surgery centers are expected to have the highest market share of 57.05%. Outpatient surgery centers have a number of advantages, including low costs and high quality care, which are expected to lead to an increase in surgical treatment preferences in the years to come. Over the projected period, segment expansion will be fueled by an increase in the number of procedures and the resulting collection of massive amounts of patient data.
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Regional Segment Analysis of Healthcare Data Interoperability Market
- North America (United States, Canada, Mexico)
- Europe (Germany, France, United Kingdom, Italy, Spain, rest of Europe)
- Asia-Pacific (China, Japan India, Rest of APAC)
- South America (Brazil and rest of South America)
- Middle East and Africa (UAE, South Africa, rest of MEA)
On the basis of geography, the global healthcare data interoperability market is classified into North America, Europe, South America, Asia-Pacific, Middle East and Africa. The Asia-Pacific healthcare data interoperability market is expected to peak at 1.46 billion by 2028. Major drivers of regional growth include expansion of medical tourism, increased demand for better health care and increased government investment in health facilities. A large patient pool in densely populated countries like China and India generates a substantial volume of patient data every year, requiring efficient data exchange between hospitals and pharmacies.
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About the report:
Global Healthcare Data Interoperability Market is analyzed on the basis of Value (USD Billion). All segments were analyzed on a global, regional and national basis. The study includes an analysis of more than 30 countries for each segment. The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges to gain key insights into the market. The study includes the model of the five forces of the wearer, the analysis of attractiveness, the analysis of raw materials and the analysis of the positioning grid of the competitors.
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