The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independentdata set, or they can be combined to cover the entire nation. The Census Bureau includes landmarks in theMTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, mountain peaks/summits, schools, and churches and other religious institutions. The Census Bureau has added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration.

Comprehensive dataset containing 54 verified Heart hospital businesses in Texas, United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 12 verified Maternity hospital businesses in Texas, United States with complete contact information, ratings, reviews, and location data.

Filename: ts_2019_2020.csv Description: Time series of the daily frequency of EMS incidents from 2019 to 2020 total_ts: the daily frequency of all EMS incidents. defunct_calls_pandemic_removed_ts: the daily frequency of non-pandemic defunct EMS incidents. Pandemic_defunct_calls_ts: the daily frequency of pandemic defunct EMS incidents. Incidents_pandemic_removed_ts: the daily frequency of non-pandemic, non-defunct EMS incidents. Pandemic_effect_ts: the daily frequency of pandemic, non-defunct EMS incidents. hospitalisation_ts: the daily frequency of the newly admitted Covid-19 patients to hospitals in the Austin-Round Rock metropolitan statistical area.

About this Dataset

A carefully curated list of “Nursing Hospital / Registered Nurse" in Austin (TX). 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

Austin Registered Nurse,Austin Nursing Hospital,Texas Nursing Hospital,Texas Registered Nurse,US Registered Nurse

Row Count

116

Price

$139.00

Hospital point data for Bowie, Cass, Delta, Franklin, Hopkins, Lamar, Morris, Red River, and Titus Counties within Texas and Miller County, Arkansas.For questions, problems, or more information, contact gis@atcog.orghttps://atcog.org/The dataset only includes hospital facilities based on data acquired from various state departments or federal sources which has been referenced in the SOURCE field. Hospital facilities which do not occur in these sources will be not present in the database. The source data was available in a variety of formats (pdfs, tables, webpages, etc.) which was cleaned and geocoded and then converted into a spatial database. The database does not contain nursing homes or health centers. Hospitals have been categorized into children, chronic disease, critical access, general acute care, long term care, military, psychiatric, rehabilitation, special, and women based on the range of the available values from the various sources after removing similarities. In this update 123 additional hospitals were added and 26 additional helipads were identified.This feature class/shapefile contains Hospitals derived from various sources (refer SOURCE field) for the Homeland Infrastructure Foundation-Level Data (HIFLD) database. (https://gii.dhs.gov/HIFLD)

Filename: Incidents2019_2020.csv Description: Problem Type, Service Time and Call Disposition of each EMS incident in 2019-2020. · Problem states the problem type of the emergency. · Time_PhonePickUp_Date states the date of the EMS call. · Time_First_Unit_Assigned (in minutes) states the length of time, in minutes, after the EMS call was picked up and before the first ambulance received notification of the emergency and was assigned. · Time_First_Unit_Enroute (in minutes) states the length of time, in minutes, after the first ambulance was assigned and before the ambulance set off toward the emergency. · Time_First_Unit_Arrived (in minutes) states the length of time, in minutes, after the first ambulance wheels began to roll and before the ambulance arrived at the emergency and the wheels stopped. · Call_Disposition states the final disposition of the event, such as cancelled call, transported to hospital, etc. If the ambulance transported the patient to a hospital, the name of the hospital would be specified. If the emergency call was from another government agency, for example, the Austin Fire Department, then the call disposition would be labelled as ”referred”. Other types of call dispositions fall into the category of ”defunct calls”; in this case, the call disposition of an incident would be labelled as its respective subcategory. · Call_Disposition states the acuity of the emergency. A 1 indicates highest priority and a 15 would indicate least priority.

Comprehensive dataset containing 160 verified Hospital department businesses in Texas, United States with complete contact information, ratings, reviews, and location data.

About this Dataset

A carefully curated list of “Nursing Hospital / Registered Nurse" in San Antonio (TX). 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

San Antonio Nursing Hospital,Texas Nursing Hospital,Texas Registered Nurse,US Registered Nurse,San Antonio Registered Nurse

Row Count

143

Price

$139.00

IntroductionGiven limited evidence of previous studies, we evaluated the role of environmental justice (EJ) burden (i.e., a neighborhood characterized by both increased environmental burden and socioeconomic deprivation) in Black-White disparities in spontaneous preterm birth (sPTB) in Harris County, Texas and compared results that evaluated neighborhood-level socioeconomic deprivation alone.MethodsWe conducted a retrospective analysis using PeriBank, a database and biospecimen repository of gravidae giving birth at two hospitals in the Texas Medical Center. We included 3,703 non-Hispanic Black and 5,475 non-Hispanic white gravidae who were U.S.-born, delivered from August 2011-December 2020, and resided in Harris County, TX. We used data from the U.S. EPA EJScreen to characterize the EJ burden of participant's zip code of residence from fine particulate matter (PM2.5), ozone, and proximity to National Priorities List (NPL) sites and calculated zip-code level Area Deprivation Index (ADI). We assessed the contribution of neighborhood-level variables to the Black-White disparity in sPTB by evaluating attenuation of the odds ratio (OR) representing the effect of race in multivariable logistic regression models, controlling for individual-level characteristics. We also conducted race-stratified analyses between each neighborhood variable and sPTB. Exposure indices were treated as continuous variables; in stratified models, ORs and 95% Confidence Intervals (CIs) are presented per 10-unit increase in the neighborhood variable.ResultsAccounting for individual-level variables, Black gravidae had 79% higher odds of sPTB than white gravidae (OR = 1.79, 95%CI = 1.32, 2.44); the disparity was moderately attenuated when accounting for EJ burden or ADI (ORs ranged from 1.58 to 1.69). Though we observed no association between any of the EJ burden indices and sPTB among white gravidae, we found increased risks among Black gravidae, with ORs of similar magnitude for each EJ variable. For example, Black gravidae experienced 17% increased odds of sPTB associated with a 10-unit increase in the EJ burden index for PM2.5 (OR = 1.17, 95%CI = 0.97, 1.40). No racial differences were observed in the association of ADI with sPTB.DiscussionThough we observed limited evidence of the contribution of living in EJ neighborhoods to the Black-White disparity in sPTB, our study suggests living in an EJ neighborhood may differentially impact Black and white gravidae.

Multiple Harmful Algae Bloom (HAB) (K. brevis) data sets were obtained for this data layer, including Harmful Algal BloomS Observing System data (HABSOS) from NCEI (1953-2018) and the NOAA HAB Operational Forecast System Dataset (2007-2018). Data includes samples from Texas Parks and Wildlife Department (TPWD) the Louisiana Department of Health and Hospitals, Florida Fish and Wildlife Conservat...

IntroductionHealthcare resources are often crucial but limited, requiring careful consideration and informed allocation based on population needs and potential healthcare access. In resource allocation settings, availability and accessibility of resources should be examined simultaneously. The two-step floating catchment area (2SFCA) method has been previously used to evaluate spatial accessibility to healthcare resources and services, and to address health-related disparities. The 2SFCA methods have regained significant popularity during the COVID-19 pandemic, as their application proved crucial in addressing priority public health data analysis, modeling, and accessibility challenges. However, comprehensive comparisons of the 2SFCA method input parameters in the context of public health concerns in Texas are lacking. Our study aims to (a) perform a comparative analysis of 2SFCA input parameters on patterns of spatial accessibility and (b) identify a 2SFCA method to guide evaluation of equitable allocation of scarce mental health resources for children and adolescents in Texas.MethodsWe used the Texas Child Psychiatry Access Network (CPAN) data to assess county-level, regional patterns in access to pediatric psychiatric care, and to identify areas to expand CPAN to mitigate access-related disparities. Using the 2SFCA method, we further compared accessibility patterns across two kernel density distance decay functions for 10 catchment area specifications.ResultsAs expected, spatial accessibility measures, such as the spatial accessibility ratio (SPAR), are sensitive to input parameters, particularly the catchment area. However, across all catchment area thresholds, two clusters of counties in southern and central Texas had particularly low accessibility, highlighting the opportunity for expanding the provider network in these areas.DiscussionIdentifying areas with low accessibility can help public health initiatives prioritize regions in need of improved services and resources. The incorporation of additional data on supply capacity and care-seeking behavior would aid in the refinement of estimates for spatial accessibility at the regional level and within larger urban centers.

Cogs-Excluding-Depreciation-and-Amortization Time Series for Tenet Healthcare Corporation. Tenet Healthcare Corporation operates as a diversified healthcare services company in the United States. The company operates through two segments: Hospital Operations and Services, and Ambulatory Care. Its general hospitals offer acute care services, operating and recovery rooms, radiology and respiratory therapy services, clinical laboratories, and pharmacies. The company also provides intensive and critical care, and/or coronary care units; cardiovascular, digestive disease, neurosciences, musculoskeletal, and obstetrics services; outpatient services, including physical therapy; tertiary care services, such as cardiothoracic surgery, complex spinal surgery, neonatal intensive care, and neurosurgery services; pediatric quaternary care services in heart, liver, and kidney transplants; and limb salvaging vascular procedure, acute level 1 trauma, intravascular stroke care, minimally invasive cardiac valve replacement, imaging technology, surgical robotic, and telemedicine access services. In addition, it offers a range of procedures and services, such as orthopedics, total joint replacement, and spinal and other musculoskeletal procedures; gastroenterology; pain management; otolaryngology; ophthalmology; and urology. It operates hospitals, ambulatory surgery centers, urgent care centers, imaging centers, surgical hospitals, off-campus emergency departments, and micro-hospitals. Tenet Healthcare Corporation was founded in 1967 and is headquartered in Dallas, Texas.

Operating-Expenses Time Series for Tenet Healthcare Corporation. Tenet Healthcare Corporation operates as a diversified healthcare services company in the United States. The company operates through two segments: Hospital Operations and Services, and Ambulatory Care. Its general hospitals offer acute care services, operating and recovery rooms, radiology and respiratory therapy services, clinical laboratories, and pharmacies. The company also provides intensive and critical care, and/or coronary care units; cardiovascular, digestive disease, neurosciences, musculoskeletal, and obstetrics services; outpatient services, including physical therapy; tertiary care services, such as cardiothoracic surgery, complex spinal surgery, neonatal intensive care, and neurosurgery services; pediatric quaternary care services in heart, liver, and kidney transplants; and limb salvaging vascular procedure, acute level 1 trauma, intravascular stroke care, minimally invasive cardiac valve replacement, imaging technology, surgical robotic, and telemedicine access services. In addition, it offers a range of procedures and services, such as orthopedics, total joint replacement, and spinal and other musculoskeletal procedures; gastroenterology; pain management; otolaryngology; ophthalmology; and urology. It operates hospitals, ambulatory surgery centers, urgent care centers, imaging centers, surgical hospitals, off-campus emergency departments, and micro-hospitals. Tenet Healthcare Corporation was founded in 1967 and is headquartered in Dallas, Texas.

This dataset tracks annual white student percentage from 2001 to 2005 for Medical Center Hospital vs. Texas and Northside Independent School District

This dataset consists of 29 standardized hospital admission orders. These admission orders are developed by the family medicine department of the Scott & White Clinic at College Station, Texas. These orders are updated every two years.

The number of services delivered to people experiencing homelessness through Austin/Travis County Emergency Medical Services' Pop Up Resource Clinics. From November 2017 to the present.

The Electronic Health Records Market size was valued at USD 29.06 billion in 2023 and is projected to reach USD 38.50 billion by 2032, exhibiting a CAGR of 4.1 % during the forecasts period. Recent developments include: In July 2023, NextGen Healthcare announced the expansion of its collaboration with the American Podiatric Medical Association (APMA). As per this collaboration, the ‘NextGen Office’ cloud-based small practice EHR and practice management solution is the sole platform to incorporate blueprints exclusively developed with APMA. These podiatry blueprints address several issues, including diabetes, dermatitis, infection, and injuries. , In June 2023, CPSI and the MidCoast Health System expanded their four-year partnership, through the implementation of CPSI’s EHR, accounts receivables services, and IT-managed services at the ‘Crockett Medical Center’ critical access hospital in Texas. Other MidCoast Health System hospitals to successfully implement CPSI healthcare solutions in recent years include the El Campo Memorial Hospital and the Palacios Community Medical Center, among others. , In May 2023, MEDITECH announced an agreement with Canada Health Infoway to connect with the latter’s e-prescribing service ‘PrescribeIT’. This agreement would allow prescribers in Canada to electronically transmit a prescription directly from MEDITECH’s Expanse EHR to the patient’s preferred choice of pharmacy. The functionality would allow ease of creation of new prescriptions, allow existing prescription renewal, and also cancel prescription requests. , In April 2023, Microsoft announced an expansion of its strategic partnership with Epic for the development and integration of generative AI into healthcare, through the combination of Epic’s advanced electronic health record software and the scale of Microsoft’s Azure OpenAI Service. The resulting generative AI solutions would help enhance patient care, increase productivity, and improve the financial integrity of health systems worldwide. , In February 2023, King’s College Hospital London - Dubai announced a strategic partnership with Oracle Cerner to accelerate innovation, through the utilization of Oracle Cloud Infrastructure (OCI) services via the Oracle Cloud Dubai Region for operating and managing the upgraded and enhanced electronic medical records system for KCH Dubai. , In February 2023, Oracle Cerner announced that the province of Nova Scotia, in partnership with Nova Scotia Health Authority (NSHA) and IWK Health (IWK), had signed a 10-year agreement for implementing an integrated electronic care record in the entire province. Known in Nova Scotia as “One Person One Record”, it is intended to provide clinicians easier access to real-time health information and allow healthcare workers to spend more time with their patients. , In January 2023, Veradigm (formerly Allscripts) announced that the Veradigm Network EHR Data would be available within the OMOP CDM format. Veradigm Network EHR is a complete statistically de-identified dataset with three integrated EHR sources. This transformation is expected to facilitate data sales for clients who require it to be delivered in OMOP format. , In January 2022, Health Information Management Systems, launched AxiaGram, a mobile communication care app, which can seamlessly work with an existing EHR platform. The company expanded its product portfolio with this. , In May 2022, CPSI entered into a partnership agreement with Medicomp Systems to launch Quippe Clinical Lens. The new technology aims to empower EHR users with proper access to clinical information at PoC. .

C. difficile is an endospore-forming pathogen, which is becoming a common cause of microbial health-care associated gastrointestinal disease in the United States. Both healthy and symptomatic patients can shed C. difficile spores into the environment, which can survive for long periods, being resistant to desiccation, heat, and disinfectants. In healthcare facilities, environmental contamination with C. difficile is a major concern as a potential source of exposure to this pathogen and risk of disease in susceptible patients. Although hospital-acquired infection is recognized, community-acquired infection is an increasingly recognized health problem. Primary care clinics may be a significant source of exposure to this pathogen; however, there are limited data about presence of environmental C. difficile within clinics. To address the potential for primary care clinics as a source of environmental exposure to virulent C. difficile, we measured the frequency of environmental contamination with spores in clinic examination rooms and hospital rooms in Dallas-Fort Worth (DFW) area of Texas. The ribotypes and presence of toxin genes from some environmental isolates were compared. Our results indicate primary care clinics have higher frequencies of contamination than hospitals. After notification of the presence of C. difficile spores in the clinics and an educational discussion to emphasize the importance of this infection and methods of infection prevention, environmental contamination in clinics was reduced on subsequent sampling to that found in hospitals. Thus, primary care clinics can be a source of exposure to virulent C. difficile, and recognition of this possibility can result in improved infection prevention, potentially reducing community-acquired C. difficile infections and subsequent disease.