Between January and September 2024, healthcare organizations in the United States saw 491 large-scale data breaches, resulting in the loss of over 500 records. This figure has increased significantly in the last decade. To date, the highest number of large-scale data breaches in the U.S. healthcare sector was recorded in 2023, with a reported 745 cases.

Diagnosis data of patients and patients in hospitals.

The hospital diagnosis statistics are part of the hospital statistics and have been collected annually from all hospitals since 1993. The statistics include information on the main diagnosis (coded according to ICD-10), length of stay, department and selected sociodemographic characteristics such as age, gender and place of residence, among others.

Basic data of hospitals and preventive care or rehabilitation facilities.

The basic data statistics are part of the hospital statistics. The material and personnel resources of hospitals and preventive or rehabilitation facilities and their specialist departments have been reported annually since 1990.

The aggregated data are freely accessible.

The amount of global healthcare data is expected to increase dramatically by the year 2020. Early estimates from 2013 suggest that there were about 153 exabytes of healthcare data generated in that year. However, projections indicate that there could be as much as 2,314 exabytes of new data generated in 2020.

This table provides an overview of the key figures on health and care available on StatLine. All figures are taken from other tables on StatLine, either directly or through a simple conversion. In the original tables, breakdowns by characteristics of individuals or other variables are possible. The period after the year of review before data become available differs between the data series. The number of exam passes/graduates in year t is the number of persons who obtained a diploma in school/study year starting in t-1 and ending in t.

Data available from: 2001

Status of the figures:

2024: Most available figures are definite. Figures are provisional for: - causes of death; - youth care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university).

2023: Most available figures are definite. Figures are provisional for: - perinatal mortality at pregnancy duration at least 24 weeks; - diagnoses known to the general practitioner; - hospital admissions by some diagnoses; - average period of hospitalisation; - supplied drugs; - AWBZ/Wlz-funded long term care; - physicians and nurses employed in care; - persons employed in health and welfare; - average distance to facilities; - profitability and operating results at institutions. Figures are revised provisional for: - expenditures on health and welfare.

2022: Most available figures are definite. Figures are revised provisional for: - expenditures on health and welfare.

2021: Most available figures are definite, Figures are revised provisional for: - expenditures on health and welfare.f

2020 and earlier: All available figures are definite.

Changes as of 4 July 2025: More recent figures have been added for: - causes of death; - life expectancy; - life expectancy in perceived good health; - self-perceived health; - hospital admissions by some diagnoses; - sickness absence; - average period of hospitalisation; - contacts with health professionals; - youth care; - smoking, heavy drinkers, physical activity; - overweight; - high blood pressure; - physicians and nurses employed in care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university); - expenditures on health and welfare; - profitability and operating results at institutions.

Changes as of 18 december 2024: - Distance to facilities: the figures withdrawn on 5 June have been replaced (unchanged). - Youth care: the previously published final results for 2021 and 2022 have been adjusted due to improvements in the processing. - Due to a revision of the statistics Expenditure on health and welfare 2021, figures for expenditure on health and welfare care have been replaced from 2021 onwards. - Due to the revision of the National Accounts, the figures on persons employed in health and welfare have been replaced for all years. - AWBZ/Wlz-funded long term care: from 2015, the series Wlz residential care including total package at home has been replaced by total Wlz care. This series fits better with the chosen demarcation of indications for Wlz care.

When will new figures be published? New figures will be published in December 2025.

The Big Data in Healthcare Market Report is Segmented by Component (Software, Services), Deployment (On-Premise, Cloud), Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Application (Financial Analytics, and More), End User (Healthcare Providers, and More), and Geography (North America, Europe, Asia-Pacific, and More). The Market Forecasts are Provided in Terms of Value (USD).

The US Healthcare Visits Statistics dataset includes data about the frequency of healthcare visits to doctor offices, emergency departments, and home visits within the past 12 months in the United States by age, race, Hispanic origin, poverty level, health insurance status, geographic region and other characteristics between 1997 and 2016.

Introduction

Medical Technology and Innovation Statistics: In recent years, there has been a remarkable acceleration in the pace of medical technology advancements. These are driven by factors such as technological advancements, increased funding for research and development, and the growing demand for innovative solutions to address healthcare challenges.

These advancements have the potential to revolutionize various aspects of healthcare delivery, from diagnostics and treatment to patient monitoring and disease prevention.

Premier Pts is a company that specializes in providing real-time sports data and analytics to various clients. As a leading provider of sports data, Premier Pts offers a vast array of information, including team and player statistics, game scores, and betting odds.

The company's data collection process involves scraping relevant information from various sports websites, online publications, and official sports organizations. With a strong focus on accuracy and timeliness, Premier Pts ensures that its data is up-to-date and reliable, making it a go-to source for sports enthusiasts, researchers, and businesses alike.

A 2024 survey found that over half of U.S. individuals indicated the cost of accessing treatment was the biggest problem facing the national healthcare system. This is much higher than the global average of 32 percent and is in line with the high cost of health care in the U.S. compared to other high-income countries. Bureaucracy along with a lack of staff were also considered to be pressing issues. This statistic reveals the share of individuals who said select problems were the biggest facing the health care system in the United States in 2024.

As of February 2022, 71 percent of healthcare leaders surveyed globally said they have confidence in the actionable insights their hospital/healthcare facility is able to extract from available data. Overall, healthcare leaders had high confidence in the data utilization process of their organization and the value that data can bring to their work.

This dataset contains data for the Healthcare Payments Data (HPD) Snapshot visualization. The Enrollment data file contains counts of claims and encounter data collected for California's statewide HPD Program. It includes counts of enrollment records, service records from medical and pharmacy claims, and the number of individuals represented across these records. Aggregate counts are grouped by payer type (Commercial, Medi-Cal, or Medicare), product type, and year. The Medical data file contains counts of medical procedures from medical claims and encounter data in HPD. Procedures are categorized using claim line procedure codes and grouped by year, type of setting (e.g., outpatient, laboratory, ambulance), and payer type. The Pharmacy data file contains counts of drug prescriptions from pharmacy claims and encounter data in HPD. Prescriptions are categorized by name and drug class using the reported National Drug Code (NDC) and grouped by year, payer type, and whether the drug dispensed is branded or a generic.

The big data in healthcare market size is estimated to grow from USD 78 billion in 2024 to USD 540 billion by 2035, representing a CAGR of 19.20% till 2035

The HCUP Summary Trend Tables include monthly information on hospital utilization derived from the HCUP State Inpatient Databases (SID) and HCUP State Emergency Department Databases (SEDD). Information on emergency department (ED) utilization is dependent on availability of HCUP data; not all HCUP Partners participate in the SEDD. The HCUP Summary Trend Tables include downloadable Microsoft® Excel tables with information on the following topics: Overview of monthly trends in inpatient and emergency department utilization All inpatient encounter types Inpatient stays by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection Inpatient encounter type -Normal newborns -Deliveries -Non-elective inpatient stays, admitted through the ED -Non-elective inpatient stays, not admitted through the ED -Elective inpatient stays Inpatient service line -Maternal and neonatal conditions -Mental health and substance use disorders -Injuries -Surgeries -Other medical conditions Emergency department treat-and-release visits Emergency department treat-and-release visits by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection Description of the data source, methodology, and clinical criteria

Graph and download economic data for Expenditures: Healthcare by Income Before Taxes: $20,000 to $29,999 (CXUHEALTHLB0206M) from 1984 to 2015 about healthcare, health, tax, expenditures, income, and USA.

Our North American Healthcare Sector Data is used by doctors, clinics, insurance companies, businesses, researchers, and governments to improve healthcare outcomes and drive innovation. This dataset helps identify gaps in care, plan new health programs, and track medical trends. It includes names, addresses, contact details, job titles, services offered, patient numbers, treatment types, costs, and performance scores. The information comes from hospitals, government agencies, and insurance groups and is updated regularly for accuracy. Whether you?re improving care, creating new health plans, or conducting research, this product saves time, delivers insight, and supports smarter decisions.

• Format: Excel / CSV
• Fields: Name, Address, Job Title, Contact Details, Services, Patient Data
• Coverage: U.S. & Canada (Healthcare Providers, Insurance, Agencies)
• Use Cases: Care Improvement, Policy Planning, Research, Marketing

North American Healthcare Sector Database

Our North American Healthcare Sector Database helps businesses and organizations grow with verified healthcare contacts. Sourced from trusted providers, this database enables you to run targeted marketing, sales, or outreach campaigns with confidence. It is fully GDPR-compliant and updated frequently to ensure accuracy. With this tool, you can reach genuine professionals, strengthen your business strategy, and achieve faster results in the healthcare sector.

• Accuracy: Verified & GDPR-Compliant
• Delivery: Instant Download (Excel / CSV)
• Best For: Healthcare Marketing, Partnerships, Research, Policy Planning
• Benefits: Real Leads ? Trusted Sources ? High ROI

Buy North American Healthcare Sector Data

Buy North American Healthcare Sector Data today and connect with the right people in the healthcare industry. This dataset provides the most effective way to grow your business, increase deals, and boost ROI. Our expert team carefully verifies each contact to ensure authenticity. Available at competitive pricing, this product is designed for companies, researchers, and policymakers who need accurate and actionable healthcare insights. Get it now from List to Data and take advantage of this powerful resource.

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This dataset contains data for the Healthcare Payments Data (HPD): Medical Out-of-Pocket Costs and Chronic Conditions report. The data covers three measurement categories: annual member count, annual median out-of-pocket count, annual median claim count. The annual member count quantify the number of unique individuals who received at least one medical service in the reporting year. Annual median out-of-pocket measurements quantifies the sum of copay, coinsurance, and deductible incurred by members. Annual median claim count measurements quantifies the number of distinct claims or encounters associated with members. Both 25th and 75th percentiles for out-of-pocket cost and claim count are also included. Measures are grouped by payer types, chronic conditions flag, chronic condition types, and chronic condition numbers.

The Healthcare Data Monetization Market Report is Segmented by Type (Direct and Indirect), Deployment (On-Premises, Cloud), Application (Population Health Management, Drug Discovery & Development, and More), End User (Pharmaceutical & Biotechnology Companies, and More), Pricing Model (Subscription/Licensing, and More)), and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

The global big data in healthcare market is expected to reach $130,132.1 million by the end of 2031, growing at a CAGR of 13.96% during the forecast period 2022-2031.

Introduction

Medical Imaging Statistics: Medical imaging is essential for visualizing internal body structures to aid in diagnosis, monitoring, and treatment.

Key modalities include X-ray imaging, which highlights bones and some soft tissues; and computed tomography (CT).

Which provides cross-sectional images for detecting fractures and tumors; Teleradiology (MRI). It is known for its detailed soft tissue images; and ultrasound, widely used in obstetrics and cardiology.

Nuclear medicine employs radioactive materials to evaluate organ function, while positron emission tomography (PET) helps assess metabolic activity in cancer.

Recent advancements, such as hybrid imaging techniques and the integration of artificial intelligence. Further, enhances diagnostic accuracy and treatment efficacy, solidifying the role of medical imaging in modern healthcare.