Population Health (BRFSS: HRQOL)

Examining Trends, Disparities and Determinants of Health in the US Population

By Health [source]

About this dataset

The Behavioral Risk Factor Surveillance System (BRFSS) offers an expansive collection of data on the health-related quality of life (HRQOL) from 1993 to 2010. Over this time period, the Health-Related Quality of Life dataset consists of a comprehensive survey reflecting the health and well-being of non-institutionalized US adults aged 18 years or older. The data collected can help track and identify unmet population health needs, recognize trends, identify disparities in healthcare, determine determinants of public health, inform decision making and policy development, as well as evaluate programs within public healthcare services.

The HRQOL surveillance system has developed a compact set of HRQOL measures such as a summary measure indicating unhealthy days which have been validated for population health surveillance purposes and have been widely implemented in practice since 1993. Within this study's dataset you will be able to access information such as year recorded, location abbreviations & descriptions, category & topic overviews, questions asked in surveys and much more detailed information including types & units regarding data values retrieved from respondents along with their sample sizes & geographical locations involved!

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How to use the dataset

This dataset tracks the Health-Related Quality of Life (HRQOL) from 1993 to 2010 using data from the Behavioral Risk Factor Surveillance System (BRFSS). This dataset includes information on the year, location abbreviation, location description, type and unit of data value, sample size, category and topic of survey questions.

Using this dataset on BRFSS: HRQOL data between 1993-2010 will allow for a variety of analyses related to population health needs. The compact set of HRQOL measures can be used to identify trends in population health needs as well as determine disparities among various locations. Additionally, responses to survey questions can be used to inform decision making and program and policy development in public health initiatives.

Research Ideas

• Analyzing trends in HRQOL over the years by location to identify disparities in health outcomes between different populations and develop targeted policy interventions.
• Developing new models for predicting HRQOL indicators at a regional level, and using this information to inform medical practice and public health implementation efforts.
• Using the data to understand differences between states in terms of their HRQOL scores and establish best practices for healthcare provision based on that understanding, including areas such as access to care, preventative care services availability, etc

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: rows.csv | Column name | Description | |:-------------------------------|:----------------------------------------------------------| | Year | Year of survey. (Integer) | | LocationAbbr | Abbreviation of location. (String) | | LocationDesc | Description of location. (String) | | Category | Category of survey. (String) | | Topic | Topic of survey. (String) | | Question | Question asked in survey. (String) | | DataSource | Source of data. (String) | | Data_Value_Unit | Unit of data value. (String) | | Data_Value_Type | Type of data value. (String) | | Data_Value_Footnote_Symbol | Footnote symbol for data value. (String) | | Data_Value_Std_Err | Standard error of the data value. (Float) | | Sample_Size | Sample size used in sample. (Integer) | | Break_Out | Break out categories used. (String) | | Break_Out_Category | Type break out assessed. (String) | | **GeoLocation*...

The Report Covers Global Population Health Management Solutions Market Growth and is Segmented by Component (Software, Services, and Hardware), Solution Type (Population Health Analytics, Patient Engagement Solutions, and More), Delivery Mode (On-Premise, Cloud-Based / Web-Based, and Hybrid), End User (Healthcare Providers, and Payers), and Geography

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US Population Health Management (PHM) Market Size 2025-2029

The us population health management (phm) market size is forecast to increase by USD 6.04 billion at a CAGR of 7.4% between 2024 and 2029.

The Population Health Management (PHM) market in the US is experiencing significant growth, driven by the increasing adoption of healthcare IT solutions and analytics. These technologies enable healthcare providers to collect, analyze, and act on patient data to improve health outcomes and reduce costs. However, the high perceived costs associated with PHM solutions pose a challenge for some organizations, limiting their ability to fully implement and optimize these technologies. Despite this obstacle, the potential benefits of PHM, including improved patient care and population health, make it a strategic priority for many healthcare organizations. To capitalize on this opportunity, companies must focus on cost-effective solutions and innovative approaches to addressing the challenges of PHM implementation and optimization. By leveraging advanced analytics, cloud technologies, and strategic partnerships, organizations can overcome cost barriers and deliver better care to their patient populations.

What will be the size of the US Population Health Management (PHM) Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The Population Health Management (PHM) market in the US is experiencing significant advancements, integrating various elements to improve patient outcomes and reduce healthcare costs. Public health surveillance and data governance ensure accurate population health data, enabling healthcare leaders to identify health disparities and target interventions. Quality measures and health literacy initiatives promote transparency and patient activation, while data visualization and business intelligence facilitate data-driven decision-making. Behavioral health integration, substance abuse treatment, and mental health services address the growing need for holistic care, and outcome-based contracts incentivize providers to focus on patient outcomes. Health communication, community health workers, and patient portals enhance patient engagement, while wearable devices and mHealth technologies provide real-time data for personalized care plans. Precision medicine and predictive modeling leverage advanced analytics to tailor treatment approaches, and social service integration addresses the social determinants of health. Health data management, data storytelling, and healthcare innovation continue to drive market growth, transforming the industry and improving overall population health.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ProductSoftwareServicesDeploymentCloudOn-premisesEnd-userHealthcare providersHealthcare payersEmployers and government bodiesGeographyNorth AmericaUS

By Product Insights

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

Population Health Management (PHM) software in the US gathers patient data from healthcare systems and utilizes advanced analytics tools, including data visualization and business intelligence, to predict health conditions and improve patient care. PHM software aims to enhance healthcare efficiency, reduce costs, and ensure quality patient care. By analyzing accurate patient data, PHM software enables the identification of community health risks, leading to proactive interventions and better health outcomes. The adoption of PHM software is on the rise in the US due to the growing emphasis on value-based care and the increasing prevalence of chronic diseases. Machine learning, artificial intelligence, and predictive analytics are integral components of PHM software, enabling healthcare payers to develop personalized care plans and improve care coordination. Data integration and interoperability facilitate seamless data sharing among various healthcare stakeholders, while data visualization tools help in making informed decisions. Public health agencies and healthcare providers leverage PHM software for population health research, disease management programs, and quality improvement initiatives. Cloud computing and data warehousing provide the necessary infrastructure for storing and managing large volumes of population health data. Healthcare regulations mandate the adoption of PHM software to ensure compliance with data privacy and security standards. PHM software also supports care management services, patient engagement platforms, and remote patient monitoring, empowering patients to take charge of their health. Welln

Healthcare Provider Population Health Management Software Market Outlook

According to our latest research, the global Healthcare Provider Population Health Management Software market size reached USD 15.2 billion in 2024. The market is projected to expand at a robust CAGR of 13.8% from 2025 to 2033, reaching approximately USD 47.2 billion by 2033. This impressive growth is primarily driven by the rising demand for value-based care, increasing healthcare data volumes, and the critical need for efficient patient management across diverse healthcare settings. The ongoing digital transformation in healthcare, coupled with regulatory mandates for data interoperability and quality reporting, continues to accelerate the adoption of advanced population health management solutions among providers worldwide.

One of the most significant growth factors propelling the Healthcare Provider Population Health Management Software market is the global shift from fee-for-service to value-based care models. Healthcare systems and providers are under increasing pressure to improve patient outcomes while controlling costs, necessitating robust tools for data aggregation, risk stratification, and care coordination. Population health management (PHM) software enables providers to analyze large datasets, identify at-risk populations, and proactively manage chronic diseases. The integration of electronic health records (EHRs), claims data, and social determinants of health into PHM platforms allows for a more holistic approach to patient care, driving better clinical and financial outcomes. Additionally, government initiatives and reforms, such as the Affordable Care Act in the United States and similar policies in Europe and Asia Pacific, are further incentivizing the adoption of PHM solutions by linking reimbursement to quality metrics and patient satisfaction.

Another critical driver is the rapid advancement of healthcare IT infrastructure and the proliferation of digital health technologies. The increasing adoption of cloud computing, artificial intelligence, and machine learning in healthcare is transforming the way providers manage patient populations. Modern PHM software platforms leverage these technologies to deliver predictive analytics, automate care management workflows, and facilitate real-time decision support. This technological evolution enables healthcare organizations to efficiently aggregate and analyze disparate data sources, streamline patient engagement, and optimize resource allocation. The growing emphasis on interoperability and data exchange standards, such as HL7 FHIR, is also fostering a more connected and integrated healthcare ecosystem, further enhancing the value proposition of PHM software.

Population Health Management is increasingly becoming a cornerstone in the healthcare industry, as it focuses on improving the health outcomes of entire populations. This approach involves the systematic collection and analysis of health-related data to identify patterns and trends that can inform healthcare strategies. By leveraging Population Health Management, providers can better understand the needs of their patient populations, tailor interventions to specific groups, and ultimately enhance the quality of care delivered. As healthcare systems worldwide continue to shift towards value-based care, the role of Population Health Management in driving efficiency and effectiveness in healthcare delivery is more critical than ever. This paradigm shift is not only improving patient outcomes but also helping to control rising healthcare costs by promoting preventive care and reducing unnecessary hospitalizations.

The COVID-19 pandemic has also played a pivotal role in accelerating the adoption of population health management solutions. The need for remote patient monitoring, telehealth, and coordinated care during the pandemic highlighted the importance of robust PHM platforms. Providers leveraged these tools to track disease outbreaks, manage high-risk patient cohorts, and allocate resources more effectively. As healthcare systems continue to adapt to the post-pandemic landscape, the focus on preventive care, chronic disease management, and population-level analytics is expected to remain strong, sustaining the long-term growth trajectory of the market. Furthermore, the increasing prevalence of chronic diseases, aging populations, and rising healthcare expenditures

Public Health Indicators in Chicago

Natality, Mortality, Infectious Disease, Lead Poisoning and Economic Status

By City of Chicago [source]

About this dataset

This public health dataset contains a comprehensive selection of indicators related to natality, mortality, infectious disease, lead poisoning, and economic status from Chicago community areas. It is an invaluable resource for those interested in understanding the current state of public health within each area in order to identify any deficiencies or areas of improvement needed.

The data includes 27 indicators such as birth and death rates, prenatal care beginning in first trimester percentages, preterm birth rates, breast cancer incidences per hundred thousand female population, all-sites cancer rates per hundred thousand population and more. For each indicator provided it details the geographical region so that analyses can be made regarding trends on a local level. Furthermore this dataset allows various stakeholders to measure performance along these indicators or even compare different community areas side-by-side.

This dataset provides a valuable tool for those striving toward better public health outcomes for the citizens of Chicago's communities by allowing greater insight into trends specific to geographic regions that could potentially lead to further research and implementation practices based on empirical evidence gathered from this comprehensive yet digestible selection of indicators

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How to use the dataset

In order to use this dataset effectively to assess the public health of a given area or areas in the city: - Understand which data is available: The list of data included in this dataset can be found above. It is important to know all that are included as well as their definitions so that accurate conclusions can be made when utilizing the data for research or analysis. - Identify areas of interest: Once you are familiar with what type of data is present it can help to identify which community areas you would like to study more closely or compare with one another. - Choose your variables: Once you have identified your areas it will be helpful to decide which variables are most relevant for your studies and research specific questions regarding these variables based on what you are trying to learn from this data set.
- Analyze the Data : Once your variables have been selected and clarified take right into analyzing the corresponding values across different community areas using statistical tests such as t-tests or correlations etc.. This will help answer questions like “Are there significant differences between two outputs?” allowing you to compare how different Chicago Community Areas stack up against each other with regards to public health statistics tracked by this dataset!

Research Ideas

• Creating interactive maps that show data on public health indicators by Chicago community area to allow users to explore the data more easily.
• Designing a machine learning model to predict future variations in public health indicators by Chicago community area such as birth rate, preterm births, and childhood lead poisoning levels.
• Developing an app that enables users to search for public health information in their own community areas and compare with other areas within the city or across different cities in the US

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: public-health-statistics-selected-public-health-indicators-by-chicago-community-area-1.csv | Column name | Description | |:-----------------------------------------------|:--------------------------------------------------------------------------------------------------| | Community Area | Unique identifier for each community area in Chicago. (Integer) | | Community Area Name | Name of the community area in Chicago. (String) | | Birth Rate | Number of live births per 1,000 population. (Float) | | General Fertility Rate | Number of live births per 1,000 women aged 15-44. (Float) ...

Population Health Management Market is currently reached a valuation of USD 24.96 billion in 2021. The global sales are projected to be worth of USD 74.91 billion by 2030.

Population Health Management Market Outlook

According to our latest research, the global population health management market size reached USD 34.7 billion in 2024, reflecting a robust expansion driven by technological integration and evolving healthcare needs. The market is expected to grow at a CAGR of 12.8% from 2025 to 2033, reaching a projected value of USD 102.3 billion by 2033. This impressive growth rate is primarily attributed to the increasing prevalence of chronic diseases, the shift toward value-based care models, and the rising adoption of digital health solutions by healthcare providers and payers worldwide. As per our latest research, the market is witnessing a significant transformation, with a strong emphasis on data-driven decision-making and patient-centric care models.

One of the most significant growth factors propelling the population health management market is the surging incidence of chronic diseases such as diabetes, cardiovascular disorders, and respiratory illnesses. As populations age and lifestyle-related health risks escalate globally, healthcare systems are under mounting pressure to deliver more effective and coordinated care. Population health management solutions offer a holistic approach by integrating clinical, financial, and operational data, enabling healthcare stakeholders to identify at-risk populations, implement targeted interventions, and monitor health outcomes in real-time. This proactive approach not only reduces the overall cost of care but also improves patient outcomes, making it a critical component in the transition from fee-for-service to value-based care models.

Another crucial driver for the population health management market is the rapid advancement and adoption of digital health technologies. The proliferation of electronic health records (EHRs), wearable health devices, telemedicine platforms, and artificial intelligence-powered analytics tools has revolutionized how healthcare data is collected, shared, and analyzed. These technologies empower healthcare providers to gain deeper insights into population health trends, personalize care plans, and enhance patient engagement. Furthermore, government initiatives and regulatory mandates supporting interoperability and data sharing are accelerating the adoption of population health management software and services, especially in developed regions. The integration of advanced analytics and machine learning further amplifies the ability to predict disease outbreaks and manage resource allocation efficiently.

A third major growth factor is the increasing focus on preventive healthcare and wellness programs by both public and private sector stakeholders. Employers, insurers, and government bodies are investing heavily in population health management solutions to reduce long-term healthcare expenditures and improve workforce productivity. Preventive health initiatives, such as vaccination programs, health risk assessments, and wellness coaching, are being seamlessly integrated into population health platforms. These efforts are supported by favorable reimbursement policies and incentives for adopting value-based payment models, which reward healthcare organizations for improving population health metrics. As a result, the market is experiencing widespread adoption across various end-user segments, including healthcare providers, payers, employer groups, and government organizations.

From a regional perspective, North America continues to dominate the population health management market, accounting for the largest share in 2024. This dominance is driven by the presence of advanced healthcare infrastructure, high healthcare IT adoption rates, and supportive government policies such as the Affordable Care Act in the United States. Europe follows closely, benefiting from strong regulatory frameworks and increasing investments in digital health transformation. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rising healthcare expenditure, expanding insurance coverage, and the growing burden of chronic diseases. Latin America and the Middle East & Africa are also witnessing gradual adoption, although challenges such as limited healthcare IT infrastructure and regulatory complexities persist. Overall, the global market landscape is characterized by rapid technological advancements, evolving care delivery models, and a growing emphasis on population health outcomes.

The size of the Population Health Management Solutions market was valued at USD XXX million in 2023 and is projected to reach USD XXX million by 2032, with an expected CAGR of XX% during the forecast period.

Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.

Demographic Trends and Health Outcomes in the U.S

Inequalities,Risk Factors and Access to Care

By Data Society [source]

About this dataset

This dataset contains key demographic, health status indicators and leading cause of death data to help us understand the current trends and health outcomes in communities across the United States. By looking at this data, it can be seen how different states, counties and populations have changed over time. With this data we can analyze levels of national health services use such as vaccination rates or mammography rates; review leading causes of death to create public policy initiatives; as well as identify risk factors for specific conditions that may be associated with certain populations or regions. The information from these files includes State FIPS Code, County FIPS Code, CHSI County Name, CHSI State Name, CHSI State Abbreviation, Influenza B (FluB) report count & expected cases rate per 100K population , Hepatitis A (HepA) Report Count & expected cases rate per 100K population , Hepatitis B (HepB) Report Count & expected cases rate per 100K population , Measles (Meas) Report Count & expected cases rate per 100K population , Pertussis(Pert) Report Count & expected case rate per 100K population , CRS report count & expected case rate per 100K population , Syphilis report count and expected case rate per 100k popuation. We also look at measures related to preventive care services such as Pap smear screen among women aged 18-64 years old check lower/upper confidence intervals seperately ; Mammogram checks among women aged 40-64 years old specified lower/upper conifence intervals separetly ; Colonosopy/ Proctoscpushy among men aged 50+ measured in lower/upper limits ; Pneumonia Vaccination amongst 65+ with loewr/upper confidence level detail Additionally we have some interesting trend indicating variables like measures of birth adn death which includes general fertility ratye ; Teen Birth Rate by Mother's age group etc Summary Measures covers mortality trend following life expectancy by sex&age categories Vressionable populations access info gives us insight into disablilty ratio + access to envtiromental issues due to poor quality housing facilities Finally Risk Factors cover speicfic hoslitic condtiions suchs asthma diagnosis prevelance cancer diabetes alcholic abuse smoking trends All these information give a good understanding on Healthy People 2020 target setings demograpihcally speaking hence will aid is generating more evience backed policies

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How to use the dataset

What the Dataset Contains

This dataset contains valuable information about public health relevant to each county in the United States, broken down into 9 indicator domains: Demographics, Leading Causes of Death, Summary Measures of Health, Measures of Birth and Death Rates, Relative Health Importance, Vulnerable Populations and Environmental Health Conditions, Preventive Services Use Data from BRFSS Survey System Data , Risk Factors and Access to Care/Health Insurance Coverage & State Developed Types of Measurements such as CRS with Multiple Categories Identified for Each Type . The data includes indicators such as percentages or rates for influenza (FLU), hepatitis (HepA/B), measles(MEAS) pertussis(PERT), syphilis(Syphilis) , cervical cancer (CI_Min_Pap_Smear - CI_Max\Pap \Smear), breast cancer (CI\Min Mammogram - CI \Max \Mammogram ) proctoscopy (CI Min Proctoscopy - CI Max Proctoscopy ), pneumococcal vaccinations (Ci min Pneumo Vax - Ci max Pneumo Vax )and flu vaccinations (Ci min Flu Vac - Ci Max Flu Vac). Additionally , it provides information on leading causes of death at both county levels & national level including age-adjusted mortality rates due to suicide among teens aged between 15-19 yrs per 100000 population etc.. Furthermore , summary measures such as age adjusted percentage who consider their physical health fair or poor are provided; vulnerable populations related indicators like relative importance score for disabled adults ; preventive service use related ones ranging from self reported vaccination coverage among men40-64 yrs old against hepatitis B virus etc...

Getting Started With The Dataset

To get started with exploring this dataset first your need to understand what each column in the table represents: State FIPS Code identifies a unique identifier used by various US government agencies which denote states . County FIPS code denotes counties wi...

The global population health management market is expected to grow at a CAGR of 15-17% in the next 5 years. The aging patient population and growing burden of chronic diseases, the need to reduce healthcare costs, the growing focus on preventive care, and the shift from fee-for-service to a value-based care model are some of […]

Age-adjustment mortality rates are rates of deaths that are computed using a statistical method to create a metric based on the true death rate so that it can be compared over time for a single population (i.e. comparing 2006-2008 to 2010-2012), as well as enable comparisons across different populations with possibly different age distributions in their populations (i.e. comparing Hispanic residents to Asian residents). Age adjustment methods applied to Montgomery County rates are consistent with US Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS) as well as Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). PHS Planning and Epidemiology receives an annual data file of Montgomery County resident deaths registered with Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). Using SAS analytic software, MCDHHS standardizes, aggregates, and calculates age-adjusted rates for each of the leading causes of death category consistent with state and national methods and by subgroups based on age, gender, race, and ethnicity combinations. Data are released in compliance with Data Use Agreements between DHMH VSA and MCDHHS. This dataset will be updated Annually.

Population Health Management Software Market Outlook

According to our latest research, the global population health management software market size reached USD 35.6 billion in 2024, demonstrating robust expansion driven by the increasing need for value-based care and digital transformation in the healthcare sector. The market is forecasted to grow at a CAGR of 13.7% from 2025 to 2033, reaching an estimated USD 110.2 billion by 2033. This remarkable growth is primarily attributed to the surge in chronic disease prevalence, rising healthcare costs, and the growing adoption of healthcare IT solutions worldwide.

A key growth factor fueling the population health management software market is the global shift toward value-based healthcare models. Healthcare systems are increasingly moving away from fee-for-service frameworks, instead prioritizing patient outcomes and cost-efficiency. Population health management software plays a pivotal role in this transition by aggregating and analyzing patient data from multiple sources, enabling healthcare providers to identify at-risk populations, optimize care delivery, and reduce unnecessary expenditures. The integration of advanced analytics and artificial intelligence within these platforms is further enhancing their ability to deliver actionable insights, improve patient engagement, and support preventive care strategies, which collectively drive market expansion.

Another significant driver for the market is the escalating burden of chronic diseases such as diabetes, cardiovascular disorders, and respiratory illnesses. With aging populations and lifestyle changes, the prevalence of these conditions is rising globally, necessitating proactive population health strategies. Population health management software empowers healthcare organizations to monitor patient cohorts, track disease progression, and implement targeted interventions. This not only improves clinical outcomes but also supports regulatory compliance and reimbursement requirements, particularly as governments and payers increasingly incentivize the management of chronic conditions through coordinated care and patient engagement initiatives.

The rapid digitalization of healthcare infrastructure, coupled with favorable government initiatives and funding, is also propelling the adoption of population health management software. Many countries are investing in electronic health records (EHRs), health information exchanges (HIEs), and interoperability standards to facilitate seamless data sharing across the care continuum. These developments are creating a fertile environment for the deployment of population health management solutions, which thrive on the availability of comprehensive, real-time patient data. Furthermore, the COVID-19 pandemic has accelerated the adoption of digital health tools, highlighting the critical importance of population health management in tracking outbreaks, managing resources, and improving public health outcomes.

From a regional perspective, North America continues to dominate the population health management software market, accounting for the largest share in 2024. This leadership is underpinned by advanced healthcare IT infrastructure, significant investments in digital health, and strong regulatory support for value-based care. However, the Asia Pacific region is expected to exhibit the fastest growth over the forecast period, driven by rising healthcare expenditure, expanding insurance coverage, and increasing focus on healthcare modernization in countries such as China, India, and Japan. Europe also remains a key market, benefiting from robust government initiatives aimed at improving healthcare quality and efficiency through digital solutions.

Component Analysis

The population health management software market is segmented by component into software and services, each playing a critical role in the overall ecosystem. The software segment encompasses a wide range of solutions, including data aggregation, analytics, care coordinatio

Check Market Research Intellect's Healthcare Provider Population Health Management Software Market Report, pegged at USD 3.5 billion in 2024 and projected to reach USD 9.1 billion by 2033, advancing with a CAGR of 11.2% (2026-2033).Explore factors such as rising applications, technological shifts, and industry leaders.

Context

Health care in the United States is provided by many distinct organizations. Health care facilities are largely owned and operated by private sector businesses. 58% of US community hospitals are non-profit, 21% are government owned, and 21% are for-profit. According to the World Health Organization (WHO), the United States spent more on healthcare per capita ($9,403), and more on health care as percentage of its GDP (17.1%), than any other nation in 2014. Many different datasets are needed to portray different aspects of healthcare in US like disease prevalences, pharmaceuticals and drugs, Nutritional data of different food products available in US. Such data is collected by surveys (or otherwise) conducted by Centre of Disease Control and Prevention (CDC), Foods and Drugs Administration, Center of Medicare and Medicaid Services and Agency for Healthcare Research and Quality (AHRQ). These datasets can be used to properly review demographics and diseases, determining start ratings of healthcare providers, different drugs and their compositions as well as package informations for different diseases and for food quality. We often want such information and finding and scraping such data can be a huge hurdle. So, Here an attempt is made to make available all US healthcare data at one place to download from in csv files.

Content

• Nhanes Survey (National Health and Nutrition Examination Survey) - The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The survey is unique in that it combines interviews and physical examinations. NHANES is a major program of the National Center for Health Statistics (NCHS). NCHS is part of the Centers for Disease Control and Prevention (CDC) and has the responsibility for producing vital and health statistics for the Nation. The NHANES interview includes demographic, socioeconomic, dietary, and health-related questions. The examination component consists of medical, dental, and physiological measurements, as well as laboratory tests administered by highly trained medical personnel. The diseases, medical conditions, and health indicators to be studied include: Anemia, Cardiovascular disease, Diabetes, Environmental exposures, Eye diseases, Hearing loss, Infectious diseases, Kidney disease, Nutrition, Obesity, Oral health, Osteoporosis, Physical fitness and physical functioning, Reproductive history and sexual behavior, Respiratory disease (asthma, chronic bronchitis, emphysema), Sexually transmitted diseases, Vision. 10000 individuals are surveyed to represent US statistics. Five files in this datasets represent current recent Nhanes data -
  Nhanes_2005_2006.csv
  Nhanes_2007_2008.csv
  Nhanes_2009_2010.csv
  Nhanes_2011_2012.csv
  Nhanes_2013_2014.csv
  
  • Data fields' description -
    • Nhanes_2005_2006.csv - Demographic, Dietary, Examinations, Laboratory
    • Nhanes_2007_2008.csv - Demographic, Dietary, Examinations, Laboratory
    • Nhanes_2009_2010.csv - Demographic, Dietary, Examinations, Laboratory
    • Nhanes_2011_2012.csv - Demographic, Dietary, [Examinations](http://https://wwwn.cdc.gov/nchs/nhanes/search/variab...

The global Population Based Health Services market is poised for significant expansion, projected to reach an estimated market size of $180 million by 2025, and is expected to grow at a Compound Annual Growth Rate (CAGR) of 18% through 2033. This robust growth is primarily driven by the increasing emphasis on preventative care, the need to manage chronic diseases more effectively, and the growing adoption of value-based healthcare models. Healthcare providers are increasingly leveraging population health management solutions to gain deeper insights into patient populations, identify at-risk individuals, and implement targeted interventions. Government bodies worldwide are also recognizing the long-term cost savings and improved health outcomes associated with proactive population health strategies, further fueling market demand. The shift towards data-driven healthcare, coupled with advancements in analytics and interoperability, is creating a fertile ground for these services. The market is characterized by diverse applications, with healthcare providers forming the largest segment due to their direct involvement in patient care and their need for tools to manage patient populations efficiently. The "Others" segment, encompassing payers, employers, and public health organizations, is also witnessing substantial growth as these entities seek to optimize health outcomes and reduce healthcare expenditures. Cloud-based solutions are dominating the market, offering scalability, accessibility, and cost-effectiveness compared to traditional on-premise systems. Key players like IBM, Verisk Analytics, Health Catalyst, and Cerner are at the forefront, offering comprehensive platforms that integrate data from various sources, provide advanced analytics, and support care coordination. However, challenges such as data privacy concerns, integration complexities with legacy systems, and the need for skilled personnel to effectively utilize these platforms may present some restraints to an even faster growth trajectory. This comprehensive report provides an in-depth analysis of the global Population Based Health Services market, spanning the historical period from 2019 to 2024, the base and estimated year of 2025, and a robust forecast period extending to 2033. The market is projected to witness significant expansion, driven by the increasing adoption of proactive healthcare strategies and the need for efficient management of large patient populations.

The Population Health Management (PHM) services market is booming, projected to reach $53.41 billion in 2025, with an 18.89% CAGR. Discover key drivers, trends, and regional insights for this rapidly growing market, dominated by cloud-based solutions and major players like Allscripts and Cerner. Explore the future of PHM and its impact on healthcare. Key drivers for this market are: , Need to Build a Comprehensive Single Platform for Patient Record and Management; Rising Population Suffering from Chronic Diseases Requires Long Period of Surveillance; Increasing Support and Investments from Public and Private Organizations. Potential restraints include: , Need to Build a Comprehensive Single Platform for Patient Record and Management; Rising Population Suffering from Chronic Diseases Requires Long Period of Surveillance; Increasing Support and Investments from Public and Private Organizations. Notable trends are: Cloud-based Segment is Found Dominating the Population Health Management Market.

Healthcare Provider Population Health Management Software Market Outlook

As of 2023, the global market size for Healthcare Provider Population Health Management (PHM) Software was valued at approximately USD 12 billion and is projected to grow at a compound annual growth rate (CAGR) of 15% over the forecast period, reaching nearly USD 35 billion by 2032. This significant growth is driven by several factors, including the increasing prevalence of chronic diseases, the rising demand for cost-effective healthcare solutions, and the growing adoption of healthcare IT systems.

One of the primary growth factors for the Healthcare Provider Population Health Management Software market is the increasing burden of chronic diseases worldwide. Chronic diseases such as diabetes, heart disease, and cancer require continuous monitoring and management, which can be efficiently handled through PHM software. These tools allow healthcare providers to analyze large volumes of patient data to identify trends and make informed decisions, ultimately improving patient outcomes and reducing healthcare costs. Furthermore, the aging global population contributes to a higher prevalence of chronic conditions, further driving the demand for effective PHM solutions.

Another significant growth driver is the rising demand for cost-effective healthcare solutions. With healthcare costs continuing to rise, both providers and payers are looking for ways to deliver high-quality care more efficiently. PHM software enables healthcare providers to identify high-risk patient populations and proactively manage their care, thereby reducing hospital readmissions and emergency department visits. By focusing on prevention and early intervention, these tools help lower overall healthcare costs while improving patient health outcomes. Additionally, the shift towards value-based care models incentivizes healthcare organizations to invest in PHM solutions to meet performance metrics and achieve financial incentives.

The growing adoption of healthcare IT systems is also a crucial factor contributing to the market's growth. As healthcare organizations increasingly recognize the benefits of digital transformation, the implementation of electronic health records (EHRs), telehealth services, and other health IT solutions has become more widespread. PHM software integrates seamlessly with these systems, enabling healthcare providers to leverage data from various sources to create comprehensive patient profiles and deliver personalized care. The interoperability of PHM software with existing healthcare IT infrastructure enhances its appeal and drives market growth.

From a regional perspective, North America is expected to hold the largest market share for Healthcare Provider Population Health Management Software, driven by advanced healthcare infrastructure, high adoption of digital health technologies, and supportive government initiatives. The Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, fueled by increasing healthcare investments, improving healthcare infrastructure, and rising awareness about the benefits of PHM solutions. Europe and Latin America are also expected to experience significant growth, albeit at a slightly slower pace, due to ongoing healthcare reforms and the increasing focus on population health management.

Component Analysis

The Healthcare Provider Population Health Management Software market can be segmented into Software and Services based on components. The software segment is expected to dominate the market, driven by the increasing need for advanced analytics, data integration, and interoperability solutions. PHM software provides healthcare providers with tools to analyze large datasets, identify trends, and make data-driven decisions to improve patient outcomes. The software segment includes various solutions such as care management software, patient engagement tools, and analytics platforms, all of which play a crucial role in population health management.

Within the software segment, care management software is particularly important as it enables healthcare providers to coordinate care for patients with chronic conditions or complex medical needs. These tools help identify high-risk patients, develop personalized care plans, and monitor patient progress. By facilitating better care coordination, care management software can reduce hospital readmissions and emergency department visits, ultimately improving patient outcomes and reducing healthcare costs. The growing emphasis on value-based care models further drives the demand for care m

Access Market Research Intellect's Population Health Management Systems Market Report for insights on a market worth USD 45 billion in 2024, expanding to USD 88 billion by 2033, driven by a CAGR of 8.5%.Learn about growth opportunities, disruptive technologies, and leading market participants.

The Healthcare Provider Population Health Management Software market is booming, projected to reach $40 billion by 2033 with a 12% CAGR. Learn about market drivers, trends, key players (Qlik, Cerner, Epic), and regional insights in this comprehensive analysis.