Spain Healthcare Financial Analytics Market Analysis

Spain Healthcare Financial Analytics Market Analysis


$ 3999

Spain Healthcare Financial Analytics market size was valued at $xx Mn in 2022 and is estimated to expand at a CAGR of 5.8% from 2022-30 and will reach $xx Mn in 2030. The market is segmented by type, component, and deployment. Spain’s Healthcare Financial Analytics market will grow as the demand for data-driven decision-making is rising, and financial analytics. The key market players are Salumedia Tecnologías, Datadec, Dicompacs, Biocryptology, Health in Code, and others.

ID: IN10ESDH082 CATEGORY: Digital Health GEOGRAPHY: Spain AUTHOR: Chandani Patel

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Spain Healthcare Financial Analytics Market Executive Summary

Spain Healthcare Financial Analytics market size was valued at $xx Mn in 2022 and is estimated to expand at a CAGR of 5.8% from 2022-30 and will reach $xx Mn in 2030. In Spain, public expenditure is the primary source of funding for health (69.8% of total health expenditure). Public funds come mostly from general taxes and the ACs manage most of the public health resources (92.2% of public health expenditure and 64% of total health expenditure.

The market for healthcare financial analytics is anticipated to increase as a result of the latest technology’s growing influence in the healthcare industry. The advantages that analytics offer will also lead to a rise in their utilization, which will spur the market for healthcare financial analytics to grow.

Big data analytics are being used more and more frequently in the healthcare industry. The market for healthcare financial analytics will see this element act as a growth catalyst. Big data analytics also guarantee excellent efficiency and low error rates in spending. The need for healthcare financial analytics is therefore anticipated to rise significantly in the coming years based on these factors.

The increased use of electronic health records by numerous healthcare institutions would significantly boost the market for healthcare financial analytics' growth prospects. Also, numerous laws are being passed that support electronic health records and related technology. As a result, these elements will have a significant impact on the market for healthcare financial analytics.

Market Dynamics

Market Growth Drivers

This law establishes the legal framework for the organization, management, and financing of the Spanish National Health System (SNS). It also sets out the principles and guidelines for the use of health data for research, evaluation, and planning purposes. This law regulates the processing of personal data in Spain, including health data. It sets out the requirements for obtaining consent, the purposes for which data can be processed, and the rights of data subjects. Healthcare financial analytics companies must comply with this law when handling sensitive health data.

Furthermore, this strategy sets out the guidelines and objectives for the development and implementation of health information systems in Spain. It includes measures to improve the quality and availability of health data, as well as to ensure the interoperability and security of health information systems. This decree regulates the technical requirements for healthcare information systems in Spain, including those used for financial analytics. It sets out the standards and protocols for data exchange, security, and privacy. Additionally, this plan outlines the strategies and actions to improve the quality, effectiveness, and efficiency of the Spanish National Health System. It includes measures to promote the use of health information systems and analytics to support decision-making and performance management.

Market Restraints:

Healthcare data in Spain is often fragmented and stored in different systems, which can make it difficult to integrate and analyze. This can limit the effectiveness of healthcare financial analytics. The processing and sharing of healthcare data raise privacy and security concerns, particularly in the context of sensitive health information. Healthcare financial analytics companies must comply with strict data protection regulations in Spain. Moreover, despite the high demand for healthcare services, the funding for the healthcare sector in Spain is limited. This can limit the investment in healthcare financial analytics and the adoption of digital technologies.

Competitive Landscape

Key Players

  • Salumedia Tecnologías
  • Datadec
  • Dicompacs
  • Biocryptology
  • Health in Code
  • Medtep
  • Bionline
  • Pervasive Technologies
  • Quiron Prevención
  • Savana Medica

Recent Developments

June 2021: Savana Medica raised €15 million in a funding round led by Cathay Innovation and Adara Ventures. The company offers AI-powered clinical decision support tools and financial analytics solutions for healthcare providers and payers.

February 2021: Medtep announced a partnership with Sanitas, a leading healthcare insurer in Spain, to provide a digital health platform for chronic disease management. The platform includes financial analytics tools for insurers to track patient outcomes and reduce costs.

Healthcare Policies and Regulatory Landscape

In Spain, healthcare financial analytics is regulated by several laws and regulations. Here are some of the key regulations that apply to healthcare financial analytics in Spain:

  • Law on Autonomy and Responsibility of the Health System: This law establishes the legal framework for the organization, management, and financing of the Spanish National Health System (SNS). It also sets out the principles and guidelines for the use of health data for research, evaluation, and planning purposes.
  • Data Protection Law: This law regulates the processing of personal data in Spain, including health data. It sets out the requirements for obtaining consent, the purposes for which data can be processed, and the rights of data subjects. Healthcare financial analytics companies must comply with this law when handling sensitive health data.
  • Health Information Systems Strategy: This strategy sets out the guidelines and objectives for the development and implementation of health information systems in Spain. It includes measures to improve the quality and availability of health data, as well as to ensure the interoperability and security of health information systems.
  • Royal Decree on Healthcare Information Systems: This decree regulates the technical requirements for healthcare information systems in Spain, including those used for financial analytics. It sets out the standards and protocols for data exchange, security, and privacy.
  • National Health System Quality and Cohesion Plan: This plan outlines the strategies and actions to improve the quality, effectiveness, and efficiency of the Spanish National Health System. It includes measures to promote the use of health information systems and analytics to support decision-making and performance management. In general, healthcare financial analytics companies in Spain must comply with a range of regulations related to data protection, health information systems, and the organization and financing of the healthcare system. These regulations are aimed at ensuring the privacy, security, and quality of healthcare data and promoting the efficient and effective use of healthcare resources.

 

1. Executive Summary
1.1 Digital Health Overview
1.2 Global Scenario
1.3 Country Overview
1.4 Healthcare Scenario in Country
1.5 Digital Health Policy in Country
1.6 Recent Developments in the Country

2. Market Size and Forecasting
2.1 Market Size (With Excel and Methodology)
2.2 Market Segmentation (Check all Segments in Segmentation Section)

3. Market Dynamics
3.1 Market Drivers
3.2 Market Restraints

4. Competitive Landscape
4.1 Major Market Share

4.2 Key Company Profile (Check all Companies in the Summary Section)

4.2.1 Company
4.2.1.1 Overview
4.2.1.2 Product Applications and Services
4.2.1.3 Recent Developments
4.2.1.4 Partnerships Ecosystem
4.2.1.5 Financials (Based on Availability)

5. Reimbursement Scenario
5.1 Reimbursement Regulation
5.2 Reimbursement Process for Diagnosis
5.3 Reimbursement Process for Treatment

6. Methodology and Scope

Healthcare Financial Analytics Market Segmentation

By Type

  • Claim Analytics
  • Revenue Cycle Management
  • Risk Management Analytics
  • Others

By Component

  • Hardware
  • Software & Services

By Deployment

The market is divided into on-premises and cloud-based deployments. Because cloud platforms are being adopted at a faster rate, the cloud-based category is anticipated to experience stronger growth throughout the projected period. The growing use of cloud analytics, which enables businesses to include data from all sources, is what is driving the financial analytics industry. Additionally, the market for healthcare financial analytics is anticipated to benefit from the desire for better claims and revenue management systems in healthcare and the acceptance of cloud computing across numerous industries. Some governments in Europe are starting programmes to promote the growth of information technology in healthcare.

  • On-premise
  • Cloud-based

Methodology for Database Creation

Our database offers a comprehensive list of healthcare centers, meticulously curated to provide detailed information on a wide range of specialties and services. It includes top-tier hospitals, clinics, and diagnostic facilities across 30 countries and 24 specialties, ensuring users can find the healthcare services they need.​

Additionally, we provide a comprehensive list of Key Opinion Leaders (KOLs) based on your requirements. Our curated list captures various crucial aspects of the KOLs, offering more than just general information. Whether you're looking to boost brand awareness, drive engagement, or launch a new product, our extensive list of KOLs ensures you have the right experts by your side. Covering 30 countries and 36 specialties, our database guarantees access to the best KOLs in the healthcare industry, supporting strategic decisions and enhancing your initiatives.

How Do We Get It?

Our database is created and maintained through a combination of secondary and primary research methodologies.

1. Secondary Research

With many years of experience in the healthcare field, we have our own rich proprietary data from various past projects. This historical data serves as the foundation for our database. Our continuous process of gathering data involves:

  • Analyzing historical proprietary data collected from multiple projects.
  • Regularly updating our existing data sets with new findings and trends.
  • Ensuring data consistency and accuracy through rigorous validation processes.

With extensive experience in the field, we have developed a proprietary GenAI-based technology that is uniquely tailored to our organization. This advanced technology enables us to scan a wide array of relevant information sources across the internet. Our data-gathering process includes:

  • Searching through academic conferences, published research, citations, and social media platforms
  • Collecting and compiling diverse data to build a comprehensive and detailed database
  • Continuously updating our database with new information to ensure its relevance and accuracy

2. Primary Research

To complement and validate our secondary data, we engage in primary research through local tie-ups and partnerships. This process involves:

  • Collaborating with local healthcare providers, hospitals, and clinics to gather real-time data.
  • Conducting surveys, interviews, and field studies to collect fresh data directly from the source.
  • Continuously refreshing our database to ensure that the information remains current and reliable.
  • Validating secondary data through cross-referencing with primary data to ensure accuracy and relevance.

Combining Secondary and Primary Research

By integrating both secondary and primary research methodologies, we ensure that our database is comprehensive, accurate, and up-to-date. The combined process involves:

  • Merging historical data from secondary research with real-time data from primary research.
  • Conducting thorough data validation and cleansing to remove inconsistencies and errors.
  • Organizing data into a structured format that is easily accessible and usable for various applications.
  • Continuously monitoring and updating the database to reflect the latest developments and trends in the healthcare field.

Through this meticulous process, we create a final database tailored to each region and domain within the healthcare industry. This approach ensures that our clients receive reliable and relevant data, empowering them to make informed decisions and drive innovation in their respective fields.

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Last updated on: 30 January 2024
Updated by: Bhanu Pratap Singh

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