Discover the booming medical database software market, projected to reach $45 billion by 2033, with a CAGR of 12%. This analysis explores key drivers, trends, restraints, and regional insights for EHR and HIM systems, featuring leading companies like NextGen and Epic. Learn more about this rapidly evolving sector.

The Health Information Exchange (HIE) Platform market is booming, projected to reach $46.23 billion by 2033 with a 15% CAGR. Learn about key drivers, trends, and major players shaping this vital sector of healthcare technology. Explore market segmentation, regional analysis, and future growth prospects in our comprehensive market analysis.

Characteristics of hospitalized patients with or without hyponatremia.

The US Health Information Exchange (HIE) market, currently valued at approximately $400 million (estimated based on the global market size of $660 million and assuming a significant US market share), is projected to experience robust growth, boasting a Compound Annual Growth Rate (CAGR) of 12.12% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing prevalence of chronic diseases necessitates efficient coordination of patient care across different healthcare providers, making HIE a crucial tool. Furthermore, government initiatives promoting interoperability and data exchange, alongside the rising adoption of electronic health records (EHRs) and the growing demand for improved healthcare quality and cost efficiency, are significantly bolstering market growth. The shift towards value-based care further emphasizes the need for seamless data sharing, propelling HIE adoption. Technological advancements, including cloud computing and artificial intelligence, are also streamlining HIE operations and expanding functionalities, such as advanced analytics and predictive modeling for better patient outcomes. However, challenges remain. Concerns surrounding data security and privacy, particularly with the increasing volume of sensitive patient information being exchanged, pose significant restraints. Implementation complexities and the need for substantial upfront investments in infrastructure and technology can also hinder widespread adoption, particularly among smaller healthcare providers. Despite these obstacles, the long-term outlook for the US HIE market remains positive. The market is witnessing a gradual shift towards hybrid models, combining the benefits of centralized and decentralized approaches, offering greater flexibility and scalability. This trend, coupled with continued technological innovation and regulatory support, is poised to drive substantial market growth in the coming years, making HIE a cornerstone of the evolving US healthcare landscape. Recent developments include: In October 2022, Mpowered Health launched its xChange, the United States consumer-mediated healthcare data exchange. The exchange enables health plans, health systems, and other healthcare organizations to request and obtain medical records from consumers with their consent., In March 2022, mpro5 Inc announced its launch into the United States market with a strategy of enabling the collection and leverage of real-time data to simplify the most complex operational challenges in healthcare and hospitals.. Key drivers for this market are: Increasing Demand for Electronic Health Records Resulting in the Expansion of the Market, Government Support via Various Programs and Incentives; Reduction in Healthcare Cost and Improved Efficacy. Potential restraints include: Increasing Demand for Electronic Health Records Resulting in the Expansion of the Market, Government Support via Various Programs and Incentives; Reduction in Healthcare Cost and Improved Efficacy. Notable trends are: The Decentralized/Federated Model is Expected to Hold a Notable Market Share Over the Forecast Period.

Explore the dynamic Electronic Health Record (EHR) System for Primary Care market, analyzing growth drivers, key trends like cloud adoption, and regional insights. Discover market size, CAGR, and leading companies shaping the future of primary healthcare data management from 2025-2033.

Abstract Assessing prevalent comorbidities is a common approach in health research for identifying clinical differences between individuals. The objective of this study was to validate and compare the predictive performance of two variants of the Elixhauser comorbidity measures (ECM) for inhospital mortality at index and at 1-year in the Cerner Health Facts® (HF) U.S. database. We estimated the prevalence of select comorbidities for individuals 18 to 89 years of age who received care at Cerner contributing health facilities between 2002 and 2011 using the AHRQ (version 3.7) and the Quan Enhanced ICD-9-CM ECMs. External validation of the ECMs was assessed with measures of discrimination [c-statistics], calibration [Hosmer–Lemeshow goodness-of-fit test, Brier Score, calibration curves], and overall model performance [R2]. Of 3,273,298 patients with a mean age of 43.9 years and a female composition of 53.8%, 1.0% died during their index encounter and 1.5% were deceased at 1-year. Calibration measures were equivalent between the two ECMs. Calibration performance was acceptable when predicting inhospital mortality at index, although recalibration is recommended for predicting inhospital mortality at 1 year. Discrimination was marginally better with the Quan ECM compared the AHRQ ECM when predicting inhospital mortality at index (cQuan=0.887, 95% CI: 0.885 - 0.889 vs. cAHRQ=0.880, 95% CI: 0.878 - 0.882; p <.0001) and at 1-year (cQuan=0.884, 95% CI: 0.883 - 0.886 vs. cAHRQ=0.880, 95% CI: 0.878-0.881, p <.0001). Both the Quan and the AHRQ ECMs demonstrated excellent discrimination for inhospital mortality of all-causes in Cerner Health Facts®, a HIPAA compliant observational research and privacy-protected data warehouse. While differences in discrimination performance between the ECMs were statistically significant, they are not likely clinically meaningful.

The Healthcare Information Exchange (HIE) Solution market is booming, projected to reach $40 billion by 2033 with a 12% CAGR. Discover key trends, market drivers, and leading companies shaping this rapidly evolving sector, including Allscripts, Epic, and Cerner. Learn more about HIE solutions, data exchange, and the future of healthcare interoperability.

The Public Health Information Exchange (HIE) market is booming, driven by EHR adoption, value-based care, and government initiatives. Explore market size, growth trends, key players (Epic, Cerner), and regional analysis (North America, Europe, Asia Pacific) in this comprehensive report. Discover the potential of centralized, decentralized, and hybrid HIE models.

BackgroundHyponatremia is the most common electrolyte disorder among hospitalized patients. Controversies still exist over the relationship between hyponatremia and outcomes of hospitalized patients.MethodsTo analyze the association of low serum sodium levels at hospital admission with in-hospital mortality and patient disposition and to compare the distribution of the risk of death associated with hyponatremia across the lifespan of hospitalized patients, we conducted an observational study of 2.3 million patients using data extracted from the Cerner Health Facts database between 2000 and 2014. Logistic regression models were used in the analyses.ResultsAt hospital admission 14.4% of hospitalized patients had serum sodium levels [Na]

Basic Explanation

It is important to know if a patient will be readmitted in some hospital. The reason is that you can change the treatment, in order to avoid a readmission.

In this database, you have 3 different outputs:

1. No readmission;
2. A readmission in less than 30 days (this situation is not good, because maybe your treatment was not appropriate);
3. A readmission in more than 30 days (this one is not so good as well the last one, however, the reason can be the state of the patient.

In this context, you can see different objective functions for the problem. You can try to figure out situations where the patient will not be readmitted, or if their are going to be readmitted in less than 30 days (because the problem can the the treatment), etc... Make your choice and let's help them creating new approaches for the problem.

Content

"The data set represents 10 years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. It includes over 50 features representing patient and hospital outcomes. Information was extracted from the database for encounters that satisfied the following criteria.

1. It is an inpatient encounter (a hospital admission).
2. It is a diabetic encounter, that is, one during which any kind of diabetes was entered to the system as a diagnosis.
3. The length of stay was at least 1 day and at most 14 days.
4. Laboratory tests were performed during the encounter.
5. Medications were administered during the encounter.

The data contains such attributes as patient number, race, gender, age, admission type, time in hospital, medical specialty of admitting physician, number of lab test performed, HbA1c test result, diagnosis, number of medication, diabetic medications, number of outpatient, inpatient, and emergency visits in the year before the hospitalization, etc."

• https://archive.ics.uci.edu/ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008

Source

The data are submitted on behalf of the Center for Clinical and Translational Research, Virginia Commonwealth University, a recipient of NIH CTSA grant UL1 TR00058 and a recipient of the CERNER data. John Clore (jclore '@' vcu.edu), Krzysztof J. Cios (kcios '@' vcu.edu), Jon DeShazo (jpdeshazo '@' vcu.edu), and Beata Strack (strackb '@' vcu.edu). This data is a de-identified abstract of the Health Facts database (Cerner Corporation, Kansas City, MO).

Original source of the data set

https://archive.ics.uci.edu/ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008

The global Healthcare IT market is booming, projected to reach $754.45 billion by 2033 with a CAGR of 12%. This comprehensive analysis explores market drivers, trends, restraints, and key players like Optum and Cerner, covering segments such as EHRs and telehealth. Discover regional insights and future growth projections.

The global Medical Data Integration Analysis Platform market is experiencing robust growth, projected to reach $23.43 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 23.8% from 2025 to 2033. This expansion is driven by several key factors. The increasing volume of patient data generated through Electronic Health Records (EHRs) and wearable devices necessitates sophisticated platforms for integration and analysis. Furthermore, the rising adoption of value-based care models demands more efficient data utilization for improved patient outcomes and cost reduction. Hospitals and clinics are increasingly investing in these platforms to enhance operational efficiency, improve clinical decision-making, and comply with stringent data privacy regulations. The market is segmented by application (hospitals, clinics, etc.) and type (Electronic Medical Record Systems, Health Information Exchange Platforms, and others), with Electronic Medical Record Systems currently dominating the market share due to their widespread adoption. Growth is also spurred by technological advancements in artificial intelligence (AI) and machine learning (ML), which enable more precise data analysis and predictive modeling for personalized medicine initiatives. Competitive forces among established players like Cerner, Epic Systems, and Athenahealth, along with the emergence of innovative startups, contribute to continuous market innovation and expansion. Geographical distribution shows a significant concentration in North America, driven by high healthcare spending and early adoption of advanced technologies. However, other regions like Europe and Asia-Pacific are demonstrating rapid growth, fueled by increasing healthcare investments and improving healthcare infrastructure. While data security and interoperability challenges pose some restraints, the overall market outlook remains overwhelmingly positive. The continued focus on improving patient care, enhancing research capabilities through data analysis, and strengthening healthcare regulatory compliance will all significantly contribute to the sustained growth of the Medical Data Integration Analysis Platform market in the coming years.

The global healthcare IT market is experiencing robust growth, driven by the increasing adoption of electronic health records (EHRs), the expanding need for interoperability between healthcare systems, and the rising demand for telehealth solutions. The market, estimated at $250 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $450 billion by 2033. This expansion is fueled by several key factors. Firstly, government initiatives promoting digital health infrastructure and interoperability standards are significantly influencing market expansion. Secondly, the rising prevalence of chronic diseases is demanding more efficient and data-driven healthcare management, boosting demand for sophisticated healthcare IT solutions. Finally, the increasing adoption of cloud-based solutions and artificial intelligence (AI) within healthcare is accelerating innovation and improving the efficiency of healthcare delivery. The market is segmented by application (hospitals, clinics, household) and type (Personal Health Record (PHR), Health Information Exchange (HIE), others). Hospitals currently represent the largest segment, but the household segment is expected to see the fastest growth due to the rising adoption of consumer-focused health tracking and management tools. Major players like Optum, Cerner, McKesson, and Epic Systems are actively competing in this space, driving innovation through continuous product development and strategic acquisitions. While the market presents significant opportunities, certain restraints need to be considered. These include the high initial investment costs associated with implementing new healthcare IT systems, concerns around data security and privacy, and the need for robust cybersecurity measures to protect sensitive patient information. Furthermore, the integration of disparate legacy systems into new, unified platforms presents considerable technical challenges. Despite these hurdles, the long-term outlook remains positive, fueled by ongoing technological advancements, increased government support, and growing consumer demand for convenient, accessible, and personalized healthcare services. The continued evolution of telehealth and remote patient monitoring capabilities further strengthens the market's growth trajectory.

Source

https://archive.ics.uci.edu/ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008

The data are submitted on behalf of the Center for Clinical and Translational Research, Virginia Commonwealth University, a recipient of NIH CTSA grant UL1 TR00058 and a recipient of the CERNER data. John Clore (jclore '@' vcu.edu), Krzysztof J. Cios (kcios '@' vcu.edu), Jon DeShazo (jpdeshazo '@' vcu.edu), and Beata Strack (strackb '@' vcu.edu). This data is a de-identified abstract of the Health Facts database (Cerner Corporation, Kansas City, MO).

Context

The dataset represents 10 years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. It includes over 50 features representing patient and hospital outcomes. Information was extracted from the database for encounters that satisfied the following criteria.

(1) It is an inpatient encounter (a hospital admission).

(2) It is a diabetic encounter, that is, one during which any kind of diabetes was entered to the system as a diagnosis.

(3) The length of stay was at least 1 day and at most 14 days.

(4) Laboratory tests were performed during the encounter.

(5) Medications were administered during the encounter.

The data contains such attributes as patient number, race, gender, age, admission type, time in hospital, medical specialty of admitting physician, number of lab test performed, HbA1c test result, diagnosis, number of medication, diabetic medications, number of outpatient, inpatient, and emergency visits in the year before the hospitalization, etc.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

The Public Health Information Exchange (HIE) market is booming, driven by EHR adoption, telehealth, and government initiatives. Discover key trends, market size projections (2025-2033), leading companies, and regional analysis in this comprehensive market report. Explore the growth potential of HIE solutions across various deployment models and applications.

The global Health Information Systems (HIS) market is booming, projected to reach $60 billion by 2033, driven by EHR adoption, chronic disease prevalence, and value-based care. Explore market trends, key players (Cerner, Epic, McKesson), and regional growth in this comprehensive analysis.

The top health IT companies in the U.S. as of 2018 includes Optum, Cerner Corp. and Cognizant Technology Solutions. The top company, Optum, generated about 8.1 billion dollars in revenue during that year. Optum generated significantly more revenue than the second health IT company, Cerner Corp., which generated 5.1 billion dollars in revenue during that year.

Health IT

Health IT in the U.S. is a multifaceted industry with many different parts and specializations. Health IT includes a variety of sectors including electronic health records (EHR), personal health records (PHR), electronic prescribing and privacy and security, to name a few. The percentage of U.S. physicians that had EHR systems in their practices has increased dramatically in recent years. Likewise, the number of e-prescriptions made in the U.S. is on the rise in recent years.

Health data breaches

Health care data breaches are one of the primary concerns among health IT companies. Recent data suggests that the number of data breaches in the U.S. health and medical sector have increased over the last decade. Compared to other industries, data breaches in the healthcare segment are significantly more expensive. Despite the number of health data breaches increasing, the number of U.S. residents that have been affected seems to vary considerably from year to year.

Relationship between serum sodium levels at hospital admission and in-hospital mortality, discharge to hospice or to nursing facility.

The booming Healthcare Compliance Software market, projected at $2.5B in 2025 and growing at a strong CAGR, is analyzed in this report. Discover key drivers, trends, restraints, and regional insights. Learn about leading companies and market segmentation (cloud-based, on-premise, hospitals, clinics).

The booming Healthcare Information Technology (HIT) market is projected for significant growth through 2033, driven by telehealth, EHR adoption, and AI. Explore market size, CAGR, key players (Optum, Cerner, Epic), and regional trends in this comprehensive analysis.