AHA Annual Survey Database for Fiscal Year 2012 is a comprehensive hospital database for health services research and market analysis. It is derived primarily from the AHA Annual Survey of Hospitals, which has been conducted by the American Hospital Association (AHA) or its subsidiary, Health Forum, since 1946. The survey responses are supplemented by data drawn from the American Hospital Association registration database, the US Census Bureau, hospital accrediting bodies, and other organizations. The database maintains hospital characteristics across time to allow researchers to conduct time-series analyses.

AHA Annual Survey Database™ for Fiscal Year 2022 is a comprehensive hospital database for peer comparisons, market analysis, and health services research. It is produced primarily from the AHA Annual Survey of Hospitals, which has been administered by the American Hospital Association (AHA) since 1946. The survey responses are supplemented by data drawn the U.S. Census Bureau, hospital accrediting bodies, and other organizations.

Hospital characteristics by EHR status.

U.S. Hospitals represents the locations and selected attributes for hospitals included in the FY2005 edition of the American Hospital Association (AHA) Annual Survey Database.

Data on community hospital beds in the United States, by state. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

AHA Annual Survey Database for Fiscal Year 2013 is a comprehensive hospital database for health services research and market analysis. It is derived primarily from the AHA Annual Survey of Hospitals, which has been conducted by the American Hospital Association (AHA) or its subsidiary, Health Forum, since 1946. The survey responses are supplemented by data drawn from the American Hospital Association registration database, the US Census Bureau, hospital accrediting bodies, and other organizations. The database maintains hospital characteristics across time to allow researchers to conduct time-series analyses.

Data on hospital admission, average length of stay, outpatient visits, and outpatient surgery in the United States, by type of ownership and size of hospital. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

This hospitals GIS data represents the locations and selected attributes for hospitals included in the FY2005 edition of the American Hospital Association (AHA) Annual Survey Database and located in Vermont or within 25 miles of Vermont in Massachusetts, New Hampshire, or New York. Data fields detail hospital names, services, admissions, visits, beds, Medicare, health, society, structure, and location. Fields were added by the Vermont Dept. of Health (VDH) detailing hospital type and primary phone number. July 2021: Added webite hyperlinks and changed projection to WGS_1984_Web_Mercator_Auxiliary_Sphere for feeding into web maps.

U.S. Hospitals represents the locations and selected attributes for hospitals included in the FY2001 edition of the American Hospital Association (AHA) Annual Survey Database.

This layer is a component of Master County Map February 14, 2012.

© rick stieg ReGIS (901) 678.2470

The State Ambulatory Surgery Databases (SASD) contain the universe of hospital-based ambulatory surgery encounters in participating States. Some States include ambulatory surgery encounters from free-standing facilities as well. Restricted access data files are available with a data use agreement and brief online security training.

The data are translated into a uniform format to facilitate multi-State comparisons and analyses. The SASD include all patients in participating settings, regardless of payer, e.g., persons covered by Medicare, Medicaid, private insurance, and the uninsured.

The SASD contain clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and facilities (as required by data sources).

Data elements include but are not limited to: diagnoses, procedures, admission and discharge status, patient demographics (e.g., gender, age), total charges, and expected payment source (e.g., Medicare, Medicaid, private insurance, self-pay; for some States, additional discrete payer categories, such as managed care). In addition to the core set of uniform data elements common to all SASD, some include State-specific data elements, such as the patient's race. The SASD exclude data elements that could directly or indirectly identify individuals.

For some States, hospital and county identifiers are included that permit linkage to the American Hospital Association Annual Survey File and the Area Resource File.

The State Emergency Department Databases (SEDD) contain the universe of emergency department visits in participating States. The data are translated into a uniform format to facilitate multi-State comparisons and analyses. The SEDD consist of data from hospital-based emergency departments and include all patients, regardless of payer, e.g., persons covered by Medicare, Medicaid, private insurance, and the uninsured.

The SEDD contain clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and facilities (as required by data sources). Data elements include but are not limited to: diagnoses, procedures, admission and discharge status, patient demographics (e.g., gender, age), total charges, length of stay, and expected payment source (e.g., Medicare, Medicaid, private insurance, self-pay; for some States, additional discrete payer categories, such as managed care). In addition to the core set of uniform data elements common to all SEDD, some include State-specific data elements, such as the patient's race. The SEDD exclude data elements that could directly or indirectly identify individuals. For some States, hospital and county identifiers are included that permit linkage to the American Hospital Association Annual Survey File and the Area Resource File.

The Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) are a set of hospital databases that contain the universe of hospital inpatient discharge abstracts from data organizations in participating States. The data are translated into a uniform format to facilitate multi-State comparisons and analyses. The SID are based on data from short term, acute care, nonfederal hospitals. Some States include discharges from specialty facilities, such as acute psychiatric hospitals. The SID include all patients, regardless of payer and contain clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality (AHRQ), HCUP data inform decision making at the national, State, and community levels. The SID contain clinical and resource-use information that is included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). Data elements include but are not limited to: diagnoses, procedures, admission and discharge status, patient demographics (e.g., sex, age), total charges, length of stay, and expected payment source, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge’. In addition to the core set of uniform data elements common to all SID, some include State-specific data elements. The SID exclude data elements that could directly or indirectly identify individuals. For some States, hospital and county identifiers are included that permit linkage to the American Hospital Association Annual Survey File and county-level data from the Bureau of Health Professions' Area Resource File except in States that do not allow the release of hospital identifiers. Restricted access data files are available with a data use agreement and brief online security training.

The Healthcare Cost and Utilization Project (HCUP) State Emergency Department Databases (SEDD) contain the universe of emergency department visits in participating States. The data are translated into a uniform format to facilitate multi-State comparisons and analyses. The SEDD consist of data from hospital-based emergency department visits that do not result in an admission. The SEDD include all patients, regardless of the expected payer including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge’. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality (AHRQ), HCUP data inform decision making at the national, State, and community levels. The SEDD contain clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and facilities (as required by data sources). Data elements include but are not limited to: diagnoses, procedures, admission and discharge status, patient demographics (e.g., sex, age, race), total charges, length of stay, and expected payment source, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge’. In addition to the core set of uniform data elements common to all SEDD, some include State-specific data elements. The SEDD exclude data elements that could directly or indirectly identify individuals. For some States, hospital and county identifiers are included that permit linkage to the American Hospital Association Annual Survey File and the Bureau of Health Professions' Area Resource File except in States that do not allow the release of hospital identifiers. Restricted access data files are available with a data use agreement and brief online security training.

The AHA Annual Survey Information Technology hospital database contains current information on healthcare technology adoption and indicators in response to the Health Information Technology for Economic and Clinical Health (HITECH) Act. The AHA Annual Survey IT database is used to report hospital statistics on adoption of HER systems.

This dataset contains the industry payments and financial relationships with U.S. physicians from 432 for-profit companies that publically reported data. These data were derived from Kyruus, is a software-based solutions company that uses big data to optimize patient access and provider network operations for large health systems across the country. These data contain individual-level information on physicians’ financial relationships with industry in 2011, including companies from whom they received money, the monetary value of these interactions, and the reason for the financial tie (consulting, research funding, meals and travel, etc.). Additionally, these data include demographic information such as age, gender, medical specialty and primary location. We merged these individual-level data with institution-level data from the American Hospitals Association (AHA) 2011 Annual Survey (which has to be obtained independently due to liscense restrictions) and the National Institutes of Health (NIH) 2011 publically searchable database. Kyruus provided permission for data sharing.

According to Cognitive Market Research, the global Healthcare Contract Development and Manufacturing Organization Market size will be USD 312820 million in 2025. It will expand at a compound annual growth rate (CAGR) of 10.20% from 2025 to 2033.

North America held the major market share for more than 37% of the global revenue with a market size of USD 115743.40 million in 2025 and will grow at a compound annual growth rate (CAGR) of 8.6% from 2025 to 2033.
Europe accounted for a market share of over 29% of the global revenue with a market size of USD 90717.80 million.
APAC held a market share of around 24% of the global revenue with a market size of USD 75076.80 million in 2025 and will grow at a compound annual growth rate (CAGR) of 13.0% from 2025 to 2033.
South America has a market share of more than 4% of the global revenue with a market size of USD 11887.16 million in 2025 and will grow at a compound annual growth rate (CAGR) of 10.9% from 2025 to 2033.
Middle East had a market share of around 4.00% of the global revenue and was estimated at a market size of USD 12512.80 million in 2025 and will grow at a compound annual growth rate (CAGR) of 11.5% from 2025 to 2033.
Africa had a market share of around 2.20% of the global revenue and was estimated at a market size of USD 6882.04 million in 2025 and will grow at a compound annual growth rate (CAGR) of 10.5% from 2025 to 2033.
Large Molecule category is the fastest growing segment of the Healthcare Contract Development and Manufacturing Organization industry

Market Dynamics of Healthcare Contract Development and Manufacturing Organization Market

Key Drivers for Healthcare Contract Development and Manufacturing Organization Market

Rising need for Contract Research Organization (CRO) services to Boost Market Growth

The need for Contract Research Organization (CRO) services has been significantly fueled by the growing number of clinical trials being carried out worldwide. In an effort to expedite and lower costs, pharmaceutical and biotechnology companies frequently contract out different phases of clinical trials to CROs as they work to create new medications and treatments1. Pharmaceutical businesses may concentrate on their core skills thanks to CROs' specific knowledge of handling data, conducting clinical trials, guaranteeing regulatory compliance, and providing logistical support. The need for CRO services has also increased due to a growth in clinical trial activity brought on by the aging population, the rise in chronic diseases, and the need for novel treatments. For instance, The American Journal of Managed Care states that unmet needs in a variety of conditions will propel the pharmaceutical industry, and that research and development efforts for creating orphan medicines will rise as the orphan drug market is attributed to reach USD 262 billion by 2024. By 2019, the Office of Rare Diseases Research at the National Institutes of Health had identified almost 7,000 orphan diseases. It was stated that there were around 1,043 orphan disease projects in the development stage, 822 of which were in clinical development.

https://pmc.ncbi.nlm.nih.gov/articles/PMC8717920/

Increase Demand for Pharmaceutical and Biopharmaceutical Products To Boost Market Growth

One of the main factors propelling market expansion in the healthcare sector is the growing demand for pharmaceutical and biopharmaceutical products. The need for novel and efficient therapies is rising as the world's population ages and the incidence of chronic illnesses rises. In order to find and create novel medications and treatments, this demand has prompted large investments in research and development (R&D). Because they can target particular disease pathways and provide more individualized and effective therapy options, biopharmaceuticals in particular are becoming more and more well-known.

Restraint Factor for the Healthcare Contract Development and Manufacturing Organization Market

Stringent Regulatory Scenarios and Limited Funds for R&D in Healthcare Contract Development and Manufacturing Organization Market Growth, Will Limit Market Growth

Examiners must adhere to stringent administrative, ethical, and regulatory standards when setting up a study site. The safety of the chosen patients depends on these administrative procedures. Additionally, there would be delays in the recruitment process and the start of clinical trials i...