Graph and download economic data for Rate of Preventable Hospital Admissions (5-year estimate) in Orange County, CA (DISCONTINUED) (DMPCRATE006059) from 2008 to 2015 about Orange County, CA; preventable; admissions; hospitals; Los Angeles; CA; 5-year; rate; and USA.

Financial overview and grant giving statistics of Childrens Hospital Los Angeles

The COVID-19 Vulnerability and Recovery Index uses Tract and ZIP Code-level data* to identify California communities most in need of immediate and long-term pandemic and economic relief. Specifically, the Index is comprised of three components — Risk, Severity, and Recovery Need with the last scoring the ability to recover from the health, economic, and social costs of the pandemic. Communities with higher Index scores face a higher risk of COVID-19 infection and death and a longer uphill economic recovery. Conversely, those with lower scores are less vulnerable.

The Index includes one overarching Index score as well as a score for each of the individual components. Each component includes a set of indicators we found to be associated with COVID-19 risk, severity, or recovery in our review of existing indices and independent analysis. The Risk component includes indicators related to the risk of COVID-19 infection. The Severity component includes indicators designed to measure the risk of severe illness or death from COVID-19. The Recovery Need component includes indicators that measure community needs related to economic and social recovery. The overarching Index score is designed to show level of need from Highest to Lowest with ZIP Codes in the Highest or High need categories, or top 20th or 40th percentiles of the Index, having the greatest need for support.

The Index was originally developed as a statewide tool but has been adapted to LA County for the purposes of the Board motion. To distinguish between the LA County Index and the original Statewide Index, we refer to the revised Index for LA County as the LA County ARPA Index.

*Zip Code data has been crosswalked to Census Tract using HUD methodology

Indicators within each component of the LA County ARPA Index are:Risk: Individuals without U.S. citizenship; Population Below 200% of the Federal Poverty Level (FPL); Overcrowded Housing Units; Essential Workers Severity: Asthma Hospitalizations (per 10,000); Population Below 200% FPL; Seniors 75 and over in Poverty; Uninsured Population; Heart Disease Hospitalizations (per 10,000); Diabetes Hospitalizations (per 10,000)Recovery Need: Single-Parent Households; Gun Injuries (per 10,000); Population Below 200% FPL; Essential Workers; Unemployment; Uninsured PopulationData are sourced from US Census American Communities Survey (ACS) and the OSHPD Patient Discharge Database. For ACS indicators, the tables and variables used are as follows:

Indicator

ACS Table/Years

Numerator

Denominator

Non-US Citizen

B05001, 2019-2023

b05001_006e

b05001_001e

Below 200% FPL

S1701, 2019-2023

s1701_c01_042e

s1701_c01_001e

Overcrowded Housing Units

B25014, 2019-2023

b25014_006e + b25014_007e + b25014_012e + b25014_013e

b25014_001e

Essential Workers

S2401, 2019-2023

s2401_c01_005e + s2401_c01_011e + s2401_c01_013e + s2401_c01_015e + s2401_c01_019e + s2401_c01_020e + s2401_c01_023e + s2401_c01_024e + s2401_c01_029e + s2401_c01_033e

s2401_c01_001

Seniors 75+ in Poverty

B17020, 2019-2023

b17020_008e + b17020_009e

b17020_008e + b17020_009e + b17020_016e + b17020_017e

Uninsured

S2701, 2019-2023

s2701_c05_001e

NA, rate published in source table

Single-Parent Households

S1101, 2019-2023

s1101_c03_005e + s1101_c04_005e

s1101_c01_001e

Unemployment

S2301, 2019-2023

s2301_c04_001e

NA, rate published in source table

The remaining indicators are based data requested and received by Advancement Project CA from the OSHPD Patient Discharge database. Data are based on records aggregated at the ZIP Code level:

Indicator

Years

Definition

Denominator

Asthma Hospitalizations

2017-2019

All ICD 10 codes under J45 (under Principal Diagnosis)

American Community Survey, 2015-2019, 5-Year Estimates, Table DP05

Gun Injuries

2017-2019

Principal/Other External Cause Code "Gun Injury" with a Disposition not "Died/Expired". ICD 10 Code Y38.4 and all codes under X94, W32, W33, W34, X72, X73, X74, X93, X95, Y22, Y23, Y35 [All listed codes with 7th digit "A" for initial encounter]

American Community Survey, 2015-2019, 5-Year Estimates, Table DP05

Heart Disease Hospitalizations

2017-2019

ICD 10 Code I46.2 and all ICD 10 codes under I21, I22, I24, I25, I42, I50 (under Principal Diagnosis)

American Community Survey, 2015-2019, 5-Year Estimates, Table DP05

Diabetes (Type 2) Hospitalizations

2017-2019

All ICD 10 codes under E11 (under Principal Diagnosis)

American Community Survey, 2015-2019, 5-Year Estimates, Table DP05

For more information about this dataset, please contact egis@isd.lacounty.gov.

About this Dataset

A carefully curated list of “Nursing Hospital / Registered Nurse" in Los Angeles (CA). We strive to keep our customers satisfied, so they no longer have to worry about finding quality leads. Which is why we offer a 100% data guarantee. If there is any information missing or incorrect we will replace it for you. Contact us immediately. What you will find below: - Contact Name - Company - Email - Website - Contact no. & more

Category

Health & Medicine

Keywords

Los Angeles Registered Nurse,California Registered Nurse,California Nursing Hospital,Los Angeles Nursing Hospital,US Registered Nurse

Row Count

118

Price

$139.00

Data is from the California Department of Public Health (CDPH) Respiratory Virus Weekly Report.

The report is updated each Friday.

Laboratory surveillance data: California laboratories report SARS-CoV-2 test results to CDPH through electronic laboratory reporting. Los Angeles County SARS-CoV-2 lab data has a 7-day reporting lag. Test positivity is calculated using SARS-CoV-2 lab tests that has a specimen collection date reported during a given week.

Laboratory surveillance for influenza, respiratory syncytial virus (RSV), and other respiratory viruses (parainfluenza types 1-4, human metapneumovirus, non-SARS-CoV-2 coronaviruses, adenovirus, enterovirus/rhinovirus) involves the use of data from clinical sentinel laboratories (hospital, academic or private) located throughout California. Specimens for testing are collected from patients in healthcare settings and do not reflect all testing for influenza, respiratory syncytial virus, and other respiratory viruses in California. These laboratories report the number of laboratory-confirmed influenza, respiratory syncytial virus, and other respiratory virus detections and isolations, and the total number of specimens tested by virus type on a weekly basis.

Test positivity for a given week is calculated by dividing the number of positive COVID-19, influenza, RSV, or other respiratory virus results by the total number of specimens tested for that virus. Weekly laboratory surveillance data are defined as Sunday through Saturday.

Hospitalization data: Data on COVID-19 and influenza hospital admissions are from Centers for Disease Control and Prevention’s (CDC) National Healthcare Safety Network (NHSN) Hospitalization dataset. The requirement to report COVID-19 and influenza-associated hospitalizations was effective November 1, 2024. CDPH pulls NHSN data from the CDC on the Wednesday prior to the publication of the report. Results may differ depending on which day data are pulled. Admission rates are calculated using population estimates from the P-3: Complete State and County Projections Dataset provided by the State of California Department of Finance (https://dof.ca.gov/forecasting/demographics/projections/). Reported weekly admission rates for the entire season use the population estimates for the year the season started. For more information on NHSN data including the protocol and data collection information, see the CDC NHSN webpage (https://www.cdc.gov/nhsn/index.html).

CDPH collaborates with Northern California Kaiser Permanente (NCKP) to monitor trends in RSV admissions. The percentage of RSV admissions is calculated by dividing the number of RSV-related admissions by the total number of admissions during the same period. Admissions for pregnancy, labor and delivery, birth, and outpatient procedures are not included in total number of admissions. These admissions serve as a proxy for RSV activity and do not necessarily represent laboratory confirmed hospitalizations for RSV infections; NCKP members are not representative of all Californians.

Weekly hospitalization data are defined as Sunday through Saturday.

Death certificate data: CDPH receives weekly year-to-date dynamic data on deaths occurring in California from the CDPH Center for Health Statistics and Informatics. These data are limited to deaths occurring among California residents and are analyzed to identify influenza, respiratory syncytial virus, and COVID-19-coded deaths. These deaths are not necessarily laboratory-confirmed and are an underestimate of all influenza, respiratory syncytial virus, and COVID-19-associated deaths in California. Weekly death data are defined as Sunday through Saturday.

Wastewater data: This dataset represents statewide weekly SARS-CoV-2 wastewater summary values. SARS-CoV-2 wastewater concentrations from all sites in California are combined into a single, statewide, unit-less summary value for each week, using a method for data transformation and aggregation developed by the CDC National Wastewater Surveillance System (NWSS). Please see the CDC NWSS data methods page for a description of how these summary values are calculated. Weekly wastewater data are defined as Sunday through Saturday.

Financial overview and grant giving statistics of California Hospital Medical Center Los Angeles

This dataset tracks annual graduation rate from 2013 to 2023 for Orthopaedic Hospital vs. California and Los Angeles Unified School District

Data is from the California Department of Public Health (CDPH) Respiratory Virus Weekly Report. The report is updated each Friday. Laboratory surveillance data: California laboratories report SARS-CoV-2 test results to CDPH through electronic laboratory reporting. Los Angeles County SARS-CoV-2 lab data has a 7-day reporting lag. Test positivity is calculated using SARS-CoV-2 lab tests that has a specimen collection date reported during a given week. Laboratory surveillance for influenza, respiratory syncytial virus (RSV), and other respiratory viruses (parainfluenza types 1-4, human metapneumovirus, non-SARS-CoV-2 coronaviruses, adenovirus, enterovirus/rhinovirus) involves the use of data from clinical sentinel laboratories (hospital, academic or private) located throughout California. Specimens for testing are collected from patients in healthcare settings and do not reflect all testing for influenza, respiratory syncytial virus, and other respiratory viruses in California. These laboratories report the number of laboratory-confirmed influenza, respiratory syncytial virus, and other respiratory virus detections and isolations, and the total number of specimens tested by virus type on a weekly basis. Test positivity for a given week is calculated by dividing the number of positive COVID-19, influenza, RSV, or other respiratory virus results by the total number of specimens tested for that virus. Weekly laboratory surveillance data are defined as Sunday through Saturday. Hospitalization data: Data on COVID-19 and influenza hospital admissions will be included after the National Healthcare Safety Network (NHSN) Hospitalization Data reporting requirement goes into effect on November 1, 2024. Data will not be available immediately after November 1, 2024, to account for data preparation and quality checks. CDPH collaborates with Northern California Kaiser Permanente (NCKP) to monitor trends in RSV admissions. The percentage of RSV admissions is calculated by dividing the number of RSV-related admissions by the total number of admissions during the same period. Admissions for pregnancy, labor and delivery, birth, and outpatient procedures are not included in total number of admissions. These admissions serve as a proxy for RSV activity and do not necessarily represent laboratory confirmed hospitalizations for RSV infections; NCKP members are not representative of all Californians. Weekly hospitalization data are defined as Sunday through Saturday. Death certificate data: CDPH receives weekly year-to-date dynamic data on deaths occurring in California from the CDPH Center for Health Statistics and Informatics. These data are limited to deaths occurring among California residents and are analyzed to identify influenza, respiratory syncytial virus, and COVID-19-coded deaths. These deaths are not necessarily laboratory-confirmed and are an underestimate of all influenza, respiratory syncytial virus, and COVID-19-associated deaths in California. Weekly death data are defined as Sunday through Saturday. Wastewater data: This dataset represents statewide weekly SARS-CoV-2 wastewater summary values. SARS-CoV-2 wastewater concentrations from all sites in California are combined into a single, statewide, unit-less summary value for each week, using a method for data transformation and aggregation developed by the CDC National Wastewater Surveillance System (NWSS). Please see the CDC NWSS data methods page for a description of how these summary values are calculated. Weekly wastewater data are defined as Sunday through Saturday.

The reference group is individuals with no comorbidity, , and non-smoking.

This dataset tracks annual reduced-price lunch eligibility from 2006 to 2022 for Orthopaedic Hospital vs. California and Los Angeles Unified School District

Financial overview and grant giving statistics of Pasadena Guild of Childrens Hospital of Los Angeles

Financial overview and grant giving statistics of Westside Guild of Childrens Hospital of Los Angeles

This dataset tracks annual white student percentage from 2005 to 2022 for Orthopaedic Hospital vs. California and Los Angeles Unified School District

In the second quarter of 2025, Portland and San Francisco were some of the most expensive cities in the United States for the construction of general hospitals. The cost of building a hospital in Portland ranged between ***** and ***** U.S. dollars. Boston and Los Angeles were the next cities in the ranking. Meanwhile, Las Vegas was one of the cheapest city in the list to build a general hospital.

This dataset tracks annual hispanic student percentage from 2006 to 2022 for Orthopaedic Hospital vs. California and Los Angeles Unified School District

AdventHealth Orlando in Florida stands as the largest hospital in the United States, boasting an impressive 2,247 beds as of August 2024. This expansive facility exemplifies the scale of modern healthcare infrastructure, with Jackson Memorial Hospital, also in Florida, following as the second-largest. Evolving landscape of U.S. hospitals Despite the decline in the total number of hospitals since 1980, the healthcare sector continues to grow in other ways. U.S. hospitals now employ about 7.5 million workers and generate a gross output of around 1,161 billion U.S. dollars. The Hospital Corporation of America, based in Nashville, Tennessee, leads the pack as the largest health system in the country, operating 222 hospitals as of February 2025. This reflects a trend towards consolidation and the rise of for-profit hospital chains, which gained prominence in the 1990s. Specialization and emergency care While bed count is one measure of hospital size, institutions also distinguish themselves through specialization and emergency care capabilities. For instance, the University of California at Los Angeles Medical Center performed 22,287 organ transplants between January 1988 and March 2025, making it the leading transplant center in the nation. In terms of emergency care, Parkland Health and Hospital System in Dallas recorded the highest number of emergency department visits in 2022, with 226,178 patients seeking urgent care.

The Healthcare Architecture Marketsize was valued at USD 8.17 USD Billion in 2023 and is projected to reach USD 11.34 USD Billion by 2032, exhibiting a CAGR of 4.8 % during the forecast period. Healthcare architecture is the process of conceptualizing and implementing healthcare facilities to improve the delivery of services to the patients and healthcare systems' performance. Examples include training facilities such as; hospitals, clinics, nursing homes among others, and specialized treatment units among others. According to the components, it is based on patient-oriented layouts, measures against infections, flexibility of space designs, and high technological applications. Habits that can be sustained are focused on together with the creation of healthy environments that include the use of natural light as well as greenery. They range from basic primary care to sophisticated services, including oncology, cardiology, and rehabilitation services. A safe, accessible, and comfortable environment for patients and healthcare personnel is provided by effective healthcare architecture. The proponents of this approach expect enhanced health status of patients and effective delivery of healthcare services bearing in mind that design plays a central role in designing the practice. Recent developments include: August 2023 - HKS Inc. announced the opening of its first office in Seattle, Pacific Northwest. The establishment of the new office is focused on technology and the healthcare sector and is a part of the company’s expansion to an existing network of 27 offices globally. , June 2023 – HDR announced its expansion in Southern California owing to the region's increased demand for biotechnology, life sciences, and healthcare facilities. The recent healthcare projects served by the company included a design showroom-turned-laboratory in the iconic Pacific Design Center, a three-phase masterplan and replacement hospital for Sharp HealthCare in San Diego, and Marina Del Rey Hospital for Cedars-Sinai in Los Angeles., March 2023 - HDR announced that Henry Ford Health selected the company to lead the collaborative architectural engineering team to design its transformative hospital campus expansion in Detroit. The hospital campus would cover a one-million-square-foot-plus area., November 2022 – CannonDesign announced that the company was selected by Memorial Sloan Kettering (MSK) Cancer Center to design its new 30+ story Cancer Care Pavilion devoted exclusively to cancer patient care., March 2022 – Stantec announced that the company was selected by Trillium Health Partners to plan and design the Mississauga Hospital facility in Ontario. The project would provide specialized care and tackle future challenges associated with healthcare infrastructure.. Key drivers for this market are: Increasing Rate of Hospitalizations is Driving the Growth of the Market Globally. Potential restraints include: High Cost and Technical Requirements to Limit the Market Growth. Notable trends are: Increasing Number of Hospitals and ASCs Identified as Significant Market Trend.

This dataset tracks annual two or more races student percentage from 2016 to 2022 for Orthopaedic Hospital vs. California and Los Angeles Unified School District

ObjectivesAn accurate prognostic score to predict mortality for adults with COVID-19 infection is needed to understand who would benefit most from hospitalizations and more intensive support and care. We aimed to develop and validate a two-step score system for patient triage, and to identify patients at a relatively low level of mortality risk using easy-to-collect individual information.DesignMulticenter retrospective observational cohort study.SettingFour health centers from Virginia Commonwealth University, Georgetown University, the University of Florida, and the University of California, Los Angeles.PatientsCoronavirus Disease 2019-confirmed and hospitalized adult patients.Measurements and Main ResultsWe included 1,673 participants from Virginia Commonwealth University (VCU) as the derivation cohort. Risk factors for in-hospital death were identified using a multivariable logistic model with variable selection procedures after repeated missing data imputation. A two-step risk score was developed to identify patients at lower, moderate, and higher mortality risk. The first step selected increasing age, more than one pre-existing comorbidities, heart rate >100 beats/min, respiratory rate ≥30 breaths/min, and SpO2

In the last quarter of 2024, Portland and San Francisco were some of the most expensive cities in the United States for the construction of general hospitals. The cost of building a hospital in Portland ranged between 900 and 1,200 U.S. dollars. Boston and Los Angeles were the next cities in the ranking. Meanwhile, Las Vegas was one of the cheapest city in the list to build a general hospital.