Disability and Health Data System (DHDS) is an online source of state-level data on adults with disabilities. Users can access information on six functional disability types: cognitive (serious difficulty concentrating, remembering or making decisions), hearing (serious difficulty hearing or deaf), mobility (serious difficulty walking or climbing stairs), vision (serious difficulty seeing), self-care (difficulty dressing or bathing) and independent living (difficulty doing errands alone).

The National Health Data System (SNDS) will make it possible to link:

• health insurance data (SNIIRAM database);
• hospital data (PMSI database);
• the medical causes of death (base of the CépiDC of Inserm);
• disability-related data (from MDPH - CNSA data);
• a sample of data from complementary health insurance organisations.

The first two categories of data are already available and constitute the first version of the SNDS. The medical causes of death should feed the SNDS from the second half of 2017. The first data from the CNSA will arrive from 2018 and the sample of complementary organizations in 2019.

The purpose of the SNDS is to make these data available in order to promote studies, research or evaluations of a nature in the public interest and contributing to one of the following purposes:

• health information;
• the implementation of health policies;
• knowledge of health expenditure;
• informing professionals and establishments about their activities;
• innovation in the fields of health and medico-social care;
• monitoring, surveillance and health security.

According to a survey conducted in the fiscal year 2019, 80 community health information networks in Japan were using the system ID-Link. ID-Link is a cloud network system for medical institutions developed by Japanese technology and electronics company NEC. The community health information network is a system in which medical information of patients can be shared within the regions. The Japanese government has been promoting the system to improve comprehensive medical care offered in local areas.

This dataset solicits information about the respondents’ use health data and to what extent they understand the Cambodia Health Information Management System. Respondents were asked to identify barriers to data usage. The overall objective of this study was to assess the current data use and information needs from Health Management Information System (HMIS) to support evidence based decision making among various health managers and information needs of other external health and non-health stakeholders at both National and Sub-National levels. The study was designed to assess the current data use; identify data requirements and highlight any existing barriers and constraints to data access for the purposes of decision-making and performance monitoring.

The Austrian Health Information System (Österreichisches Gesundheitsinformationssystem, ÖGIS) presents an essential tool for health reporting and planning and is designed as a geographical information system (GIS). It offers maps and time series displays as well as simple statistical analysis methods for all epidemiological core topics (e.g. life expectancy, mortality, cancer incidence, hospital frequency, subjective health status). Furthermore, information on nearly all subsectors of the health system (e.g. acute hospitals, rehabilitation centres, general practitioners, and emergency services) is available via ÖGIS.

ÖGIS answers a wide variety of questions, such as the number of implanted hip endoprostheses in Austrian hospitals, the number of inpatients with diabetes or the subjective health perception of the population in the individual federal provinces. In addition, questions about life expectancy or cancer mortality in a particular residential district compared to the Austrian average can be answered.

According to Cognitive Market Research, the global Patient Data Management Systems market size is USD 928.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 11.80% from 2024 to 2031.

The global Patient Data Management Systems market will expand significantly by 11.80% CAGR between 2024 to 2031.
North America held the major market of more than 40% of the global revenue with a market size of USD 371.28 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 278.46 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 213.49 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.8% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 46.11 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 18.56 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.5% from 2024 to 2031.

Rising Demand for Improved Healthcare Outcomes to Increase the Demand Globally

Solutions that can improve patient outcomes while cutting costs are in greater demand as the healthcare sector moves toward value-based care. To accomplish this, Patient Data Management Systems (PDMS) are essential because they make it possible to create customized treatment plans, use extensive patient data for data-driven decision-making, and efficiently coordinate care. Improved clinical outcomes and patient experiences result from PDMSs, which enable healthcare professionals to provide more effective and efficient care by centralizing patient data and offering real-time insights. Additionally, PDMSs support cost containment strategies by streamlining processes and reducing redundancies, which aligns with the larger goals of value-based care initiatives.

Growing Adoption of Electronic Health Records (EHRs) to Propel Market Growth

By digitizing patient data, the widespread use of Electronic Health Records (EHRs) has completely changed the healthcare industry. Nonetheless, efficient administration is required due to the volume of data collected. This need is met by patient data management systems (PDMS), which offer a consolidated platform for EHR data storage, access, and analysis. Proactive discharge management systems (PDMSs) improve treatment continuity and efficiency by combining data from several sources into one system. Instantaneous access to complete patient records enables healthcare providers to make well-informed decisions and create customized treatment programs.

Moreover, PDMSs increase operational efficiency by streamlining administrative tasks like billing and appointment scheduling. The usage of PDMSs is anticipated to increase further due to the increasing dependence on EHRs to power healthcare delivery. This will guarantee that patient data is efficiently managed to maximize care results.

Market Restraints of the Patient Data Management Systems Market

Data Security and Privacy Concerns to Limit the Sales

Given the sensitivity of patient data, data security, and privacy issues are crucial in the healthcare industry. To protect data integrity and confidentiality, Patient Data Management Systems (PDMS) must prioritize strong security measures. This entails access restrictions, encryption techniques, and routine security audits to identify and address problems. It is imperative to adhere to rules like the Health Insurance Portability and Accountability Act (HIPAA) to safeguard patients' privacy rights and prevent legal implications. Furthermore, PDMS providers should prioritize openness and provide patients authority over their data by implementing procedures for obtaining consent before disclosing it. By addressing these issues, healthcare professionals, patients, and stakeholders can develop trust, increasing the efficacy and uptake of PDMS solutions in healthcare settings. It also assures regulatory compliance.

Impact of COVID-19 on the Patient Data Management Systems Market

Patient data management systems (PDMS) have seen tremendous expansion and implementation globally due to the COVID-19 pandemic. Due to the crisis overtaxing healthcare inf...

In Cambodia, the Futures Group, a US-based International development firm is implementing the Health Information, Policy and Advocacy (HIPA) Project as part of health system strengthening to improve data completeness, quality, and usage of data by policy makers. The overall objective of this study was to assess the current data use and information needs from Health Management Information System (HMIS) to support evidence based decision making among various health managers and information needs of other external health and non-health stakeholders at both National and Sub-National levels. The study was designed to assess the current data use; identify data requirements and highlight any existing barriers and constraints to data access for the purposes of decision-making and performance monitoring.

The size and share of the market is categorized based on Application (Patient Records Management, Appointment Scheduling, Health Data Access) and Product (Electronic Health Records (EHR) Systems, Practice Management Software, Patient Portals) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

COVID-19 has highlighted issues that make it a challenge to collect, share, and use health data for the benefit of Canadians. 'Health data' includes public health, health system and population health data. Reliable, timely and relevant public health data are crucial to help public health officials provide their best advice in public health emergencies. Good health data also leads to improvements in health outcomes for Canadians in the longer term. Health data is collected and shared now, but there are important gaps.

BackgroundIncreasingly, researchers need to demonstrate the impact of their research to their sponsors, funders, and fellow academics. However, the most appropriate way of measuring the impact of healthcare research is subject to debate. We aimed to identify the existing methodological frameworks used to measure healthcare research impact and to summarise the common themes and metrics in an impact matrix.Methods and findingsTwo independent investigators systematically searched the Medical Literature Analysis and Retrieval System Online (MEDLINE), the Excerpta Medica Database (EMBASE), the Cumulative Index to Nursing and Allied Health Literature (CINAHL+), the Health Management Information Consortium, and the Journal of Research Evaluation from inception until May 2017 for publications that presented a methodological framework for research impact. We then summarised the common concepts and themes across methodological frameworks and identified the metrics used to evaluate differing forms of impact. Twenty-four unique methodological frameworks were identified, addressing 5 broad categories of impact: (1) ‘primary research-related impact’, (2) ‘influence on policy making’, (3) ‘health and health systems impact’, (4) ‘health-related and societal impact’, and (5) ‘broader economic impact’. These categories were subdivided into 16 common impact subgroups. Authors of the included publications proposed 80 different metrics aimed at measuring impact in these areas. The main limitation of the study was the potential exclusion of relevant articles, as a consequence of the poor indexing of the databases searched.ConclusionsThe measurement of research impact is an essential exercise to help direct the allocation of limited research resources, to maximise research benefit, and to help minimise research waste. This review provides a collective summary of existing methodological frameworks for research impact, which funders may use to inform the measurement of research impact and researchers may use to inform study design decisions aimed at maximising the short-, medium-, and long-term impact of their research.

Objectives: We sought to work collaboratively with public health stakeholders who use evidence in their work to identify practical ways that cross-sectoral data sharing and linkage could be used to best effect to improve health and reduce health inequalities.

Methods: We undertook three sequential stakeholder workshops with participants from local and central government, public health teams, Health and Social Care Partnerships, the third sector, organisations which support data-intensive research, and public representatives from across Scotland. The workshops were informed by a scoping review on use of evidence in public health policy and practice, searching Medline, Scopus, SSCI, and key institutional websites, and by three case studies of existing cross-sectoral linkage projects.

Details of data collection: The data collection comprises de-identified transcripts of stakeholder workshops and a copy of the visual map produced as part of the workshops. Stakeholders comprised people We held workshops to bring together people working in public health practice; in policy sectors potentially relevant to health; and in information governance, infrastructure and/or support for data and research; as well as a number of public representatives. Potential attendees were identified through a stakeholder mapping exercise with the project advisory group, followed by review of relevant organisational websites and advice from gatekeeper organisations such as Administrative Data Scotland.

Background Secondary data from different sectors can provide unique insights into the social, environmental, economic, and political determinants of health. This is especially pertinent in the context of whole-systems approaches to public health, which typically combine cross-sectoral collaboration with the application of theoretical insights from systems science. However, sharing and linkage of data between different sectors to inform healthy public policy is still relatively rare. Previous research has documented the perspectives of researchers and members of the public on data sharing, especially healthcare data, but has not engaged with decision-makers working in public health practice and public policy. Objective(s) We sought to work collaboratively with public health stakeholders who use evidence in their work to identify practical ways that cross-sectoral data sharing and linkage could be used to best effect to improve health and reduce health inequalities. Methods We undertook three sequential stakeholder workshops with participants from local and central government, public health teams, Health & Social Care Partnerships, the third sector, organisations which support data-intensive research, and public representatives from across Scotland. The workshops were informed by a scoping review on use of evidence in public health policy and practice, searching Medline, Scopus, SSCI, and key institutional websites, and by three case studies of existing cross-sectoral linkage projects. Findings were synthesised using thematic analysis. Setting and scope Scotland; public and third sector data.

Clinical Data Analytics in Healthcare Market Outlook

The Clinical Data Analytics in Healthcare Market is experiencing a significant surge in demand, with a market size valued at $12 billion in 2023 and projected to reach approximately $35 billion by 2032, expanding at an impressive compound annual growth rate (CAGR) of 12.5%. The driving force behind this robust growth is the increasing need for data-driven decision-making processes in healthcare that enhance operational efficiency and improve patient outcomes. This demand is further fueled by the global shift towards value-based healthcare, which emphasizes the quality of care provided and patient satisfaction over the quantity of services rendered.

A primary growth factor propelling this market is the technological advancements in data processing and storage capacities, allowing healthcare providers to manage and analyze vast amounts of clinical data efficiently. The integration of technologies such as artificial intelligence and machine learning into healthcare data analytics has revolutionized the way data is interpreted, enabling predictive analytics and personalized medicine. These technologies aid in early disease detection and facilitate the creation of tailored treatment plans, which are proving to be more effective than traditional approaches in managing chronic diseases and improving patient care outcomes.

Another significant growth factor is the increasing adoption of electronic health records (EHRs) across healthcare facilities worldwide. EHRs play a crucial role in data collection, providing a comprehensive view of patient histories that is essential for effective data analytics. The widespread implementation of EHRs improves data accuracy and accessibility, which are critical for successful clinical data analytics. Furthermore, healthcare regulations globally are increasingly mandating the digital recording and sharing of patient data, further accelerating the adoption of EHRs and subsequently driving the demand for data analytics solutions.

The growing emphasis on population health management is also a strong catalyst for market growth. As healthcare systems shift towards a more holistic approach to patient care, there is a heightened focus on understanding and managing the health of entire populations. Clinical data analytics provides the tools necessary for identifying health trends and risk factors within populations, allowing healthcare providers to develop targeted interventions and preventive measures. This trend is especially pertinent amid the increasing prevalence of lifestyle-related diseases, which require ongoing monitoring and management to mitigate their impact on healthcare systems.

In the realm of healthcare, operational analytics plays a pivotal role in streamlining processes and enhancing the efficiency of healthcare delivery systems. By leveraging Healthcare Operational Analytics, healthcare organizations can optimize resource allocation, reduce operational costs, and improve patient flow management. This approach enables healthcare providers to identify bottlenecks and inefficiencies within their operations, allowing for data-driven decisions that enhance overall service delivery. As healthcare systems continue to face increasing demands and financial pressures, the adoption of operational analytics becomes essential in maintaining high standards of care while ensuring sustainability and cost-effectiveness.

Regionally, North America dominates the Clinical Data Analytics in Healthcare Market, accounting for the largest market share due to advanced healthcare infrastructure and significant investments in R&D. The region's well-established EHR systems and the presence of major market players spearheading technological innovations further bolster this dominance. However, Asia Pacific is expected to witness the highest growth rate, driven by the rapid adoption of healthcare IT solutions, increasing government initiatives towards digital health transformation, and the growing burden of chronic diseases. Europe follows closely, benefiting from stringent healthcare regulations and a strong focus on improving healthcare outcomes through data analytics.

Component Analysis

The component segment of the Clinical Data Analytics in Healthcare Market is bifurcated into software and services, both integral to the effective deployment of data analytics solutions. Software, the larger of the two segments, encompasses a range of applications designed to

In 2022, most healthcare data breaches in the United States happened as a result of hacking or IT-related incidents. The number of such cases was 555 in the examined year. The next-most common cause for data breaches was unauthorized access or disclosure, detected in 113 cases. Loss and theft of data were less common causes of data breaches in the U.S. healthcare system in 2022. Overall, in 2022, there were 707 data breaches of over 500 records in the U.S. healthcare industry.

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Healthcare Information Software Market Size 2024-2028

The healthcare information software market size is forecast to increase by USD 8.75 billion at a CAGR of 5.65% between 2023 and 2028.

In the dynamic healthcare landscape, smaller healthcare organizations and outpatient care facilities are increasingly adopting advanced information management systems to streamline operations and enhance patient care. The information-intensive nature of healthcare necessitates the use of efficient and integrated solutions for effective data exchange and decision-making. The clinical solutions segment, including revenue cycle management (RCM) solutions, is witnessing significant growth due to the need for cost reduction and improved patient care. The healthcare industry in the US is undergoing a digital transformation, with a significant focus on implementing advanced software solutions to enhance patient care, improve healthcare quality, and reduce costs.
Moreover, key trends include the adoption of AI in healthcare for improved diagnostics and patient outcomes, as well as the integration of consumer technology companies' offerings for better patient engagement. However, challenges persist, such as ensuring usability, interoperability, and data security in the face of growing cyberattacks. Health systems are focusing on IT architecture and data communication standards to address these concerns and provide comprehensive healthcare provider solutions. The cost of care and the need for efficient data exchange remain critical factors driving market growth.

What will be the Size of the Market During the Forecast Period?

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The market is witnessing notable growth due to various factors. Patient Safety and Quality: The need for enhanced patient safety and improved healthcare quality is a major driver for the adoption of healthcare information software. These solutions enable healthcare providers to access centralized medical records, ensuring accurate and timely diagnosis and treatment. Additionally, healthcare IT infrastructure, including telehealth and e-prescribing systems, facilitates remote patient monitoring and teleconsultation, enabling better care for patients with chronic diseases.
Moreover, the integration of healthcare systems is another key trend in the market. Healthcare organizations are investing in software solutions that enable seamless data exchange between different healthcare providers and departments. This not only enhances patient care but also reduces administrative costs and improves overall efficiency. The widespread use of smartphones and improved internet coverage in the US is fueling the growth of the market. Remote patient monitoring and teleconsultation are becoming increasingly popular, enabling patients to access healthcare services from the comfort of their homes. Furthermore, smartphones and mobile applications are being used to facilitate e-prescribing and other clinical solutions.
However, the rising healthcare costs in the US are also driving the adoption of healthcare information software. These solutions enable healthcare providers to streamline their operations, reduce administrative costs, and improve patient outcomes, leading to cost savings in the long run. The use of big data analytics and artificial intelligence (AI) in healthcare is a growing trend. These technologies enable healthcare providers to analyze patient data and identify patterns and trends, leading to better diagnosis and treatment. Additionally, AI-powered chatbots and virtual assistants are being used to provide patients with personalized healthcare advice and support.
In conclusion, the market is witnessing significant growth due to factors such as the need for enhanced patient safety and quality, the integration of healthcare systems, the widespread use of smartphones and internet coverage, and rising healthcare costs. The use of big data analytics and AI is also a growing trend, enabling healthcare providers to provide more personalized and effective care to their patients.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  HIS
  PIS


Deployment

  On premises
  Cloud based


Geography

  North America

    US


  Europe

    Germany
    UK


  Asia

    China
    Japan


  Rest of World (ROW)

By Application Insights

The HIS segment is estimated to witness significant growth during the forecast period.

Healthcare Information Software (HIS) is a vital solution for managing the intricate requirements of healthcare systems globally. A significant component of HIS is Electronic Health Records (EHR), which offers digital solutions for patie

Electronic health records (EHR) are expected to boost the market value of smart hospitals. In 2021, the global smart hospital market was valued at 35.9 billion U.S. dollars, from which 7.6 billion were linked to EHR and the consequent clinical workflow. According to future estimations, this market was forecast to increase in value and reach nearly 18 billion U.S. dollars in 2026.

The use of electronic health records in hospitals

EHR systems improve the quality and efficiency of healthcare delivery and enable patients more autonomy in their treatment. In 2020, over 80 percent of surveyed European clinicians used electronic health records in their practice. According to the same survey, in countries such as the Netherlands or Denmark, nearly all practicians used EHRs. The implementation of these medical records plays a central role in the emergence of smart hospitals.

Data privacy and electronic health records

Although the global EHR market is projected to steadily increase in the future, EHR use still raises some issues. Indeed, an electronic health record encompasses private information on a patient that can be shared across a range of healthcare settings. Thus, it presents challenges in terms of access control to ensure data privacy and confidentiality. These risks need to be addressed through legal frameworks, optimal access controls, quality training, and standards shared across all EHR users.

The primary purpose for the Provider Network Data System is to collect data needed to evaluate the provider networks including physicians, hospitals, labs, home health agencies, durable medical equipment providers, etc., for all types of Managed Care plans in New York State, including HIV Special Need Plans (SNP), Family Health Plus (FHP) Buy-In, Programs of All-Inclusive Care for the Elderly (PACE), and Non-PACE Managed Long-Term Care (MLTC) plans. This dataset reflects individual provider data. Provider Network Data System information is self-reported. For more information, check out http://www.health.ny.gov/health_care/managed_care/.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company National-Health-Data-Systems-Inc..

Healthcare Information Software Market size was valued at USD 26512.59 Million in 2024 and is projected to reach USD 41309.71 Million by 2031, growing at a CAGR of 5.70% from 2024 to 2031.

Global Healthcare Information Software Market Drivers

The market drivers for the Healthcare Information Software Market can be influenced by various factors. These may include:

Growing Need for Cutting-Edge Medical Solutions: The use of healthcare information software is driven by the growing need for better patient care, more streamlined healthcare processes, and efficient management of patient data.
Technological Advancements: Healthcare information software is becoming more capable and efficient, which attracts healthcare providers. This is due to innovations in cloud computing, big data analytics, artificial intelligence, and machine learning.
Regulatory Compliance: To guarantee data security and privacy, strict laws like the General Data Protection Regulation (GDPR) in Europe and the Health Insurance Portability and Accountability Act (HIPAA) in the United States demand the use of reliable healthcare information software.
Growing Prevalence of Chronic Diseases: Healthcare information software plays a key role in the efficient management and surveillance of chronic diseases, such as diabetes, cardiovascular disease, and cancer, which is becoming more common.
Government Initiatives and Incentives: The use of electronic health records (EHRs) and other healthcare IT systems is encouraged by government programmes and financial incentives, which have a major impact on market growth.
Better Patient Outcomes and Operational Efficiency: Improving patient outcomes and cutting expenses are top priorities for healthcare providers. Healthcare information software’s extensive data management and analytics features aid in the accomplishment of these objectives.
Telemedicine and Remote Monitoring: The COVID-19 pandemic has contributed to the growing use of telemedicine and remote patient monitoring, which has raised the need for integrated healthcare information systems.
Ageing Population: As the world’s population ages, more people will need healthcare services, which means that effective healthcare information systems are needed to handle the growing amount of patient data and services.
Interoperability and Integration: The adoption of complete healthcare information software solutions is driven by the requirement for smooth interoperability and integration of diverse healthcare systems, including EHRs, pharmacy information systems (PIS), and laboratory information systems (LIS).
Cost-Reduction and Efficiency: Healthcare companies want to cut expenses while increasing operational effectiveness. As a result, they require software that can streamline processes, cut down on errors, and improve resource management.

Graph and download economic data for Medical Services Expenditures by Disease: Diseases of the Respiratory System Price Index, Blended Account Basis (DIRESYPIBLEND) from 2000 to 2021 about respiratory, disease, healthcare, medical, health, expenditures, services, price index, indexes, price, and USA.

The global Healthcare Information Systems (HIS) market is experiencing robust growth, projected to reach $219.77 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 9.5% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of electronic health records (EHRs) and the rising demand for improved patient care are major contributors. Government initiatives promoting digital healthcare transformation and interoperability across different healthcare systems are further fueling market growth. Moreover, the growing need for efficient revenue cycle management, enhanced diagnostic capabilities through advanced medical imaging systems, and the increasing complexity of pharmaceutical and laboratory data management are all pushing the demand for sophisticated HIS solutions. The market's segmentation reflects this diverse demand, with revenue cycle management, hospital information systems, medical imaging information systems, pharmacy information systems, and laboratory information systems all representing significant market segments. Competition is intense, with leading companies employing various strategies to gain market share, including mergers and acquisitions, strategic partnerships, and the development of innovative software and services. While the market faces certain challenges, such as data security concerns and the need for substantial IT infrastructure investment, the overall outlook remains positive, indicating a substantial increase in market value by 2033. North America, particularly the US, currently holds a significant share of the global HIS market due to advanced healthcare infrastructure and high adoption rates of technology. However, the Asia-Pacific region, driven by rapidly growing economies and increasing healthcare spending in countries like India and China, is expected to witness the fastest growth in the coming years. Europe also presents a significant market opportunity, with growing government investments in digital health initiatives and a rising demand for improved healthcare efficiency. The continued development of cloud-based HIS solutions, artificial intelligence (AI)-powered diagnostic tools, and telemedicine integration are poised to further shape the market landscape, leading to greater efficiency, improved patient outcomes, and cost reduction within the healthcare industry. The competitive landscape is dynamic, with companies focusing on providing comprehensive and integrated solutions to cater to the diverse needs of various healthcare providers.