31 datasets found
  1. m

    Wei Zhu_QDU MSC Dataset

    • data.mendeley.com
    Updated Dec 24, 2020
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    Wei Zhu (2020). Wei Zhu_QDU MSC Dataset [Dataset]. http://doi.org/10.17632/5v2mbp2sdx.1
    Explore at:
    Dataset updated
    Dec 24, 2020
    Authors
    Wei Zhu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This file is related to Piezo1-mechanically sensitive channel study

  2. S

    Masters

    • health.data.ny.gov
    application/rdfxml +5
    Updated Jul 12, 2025
    + more versions
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    New York State Department of Health (2025). Masters [Dataset]. https://health.data.ny.gov/Health/Masters/trxt-4gb8
    Explore at:
    csv, application/rssxml, application/rdfxml, json, xml, tsvAvailable download formats
    Dataset updated
    Jul 12, 2025
    Authors
    New York State Department of Health
    Description

    This data includes the name and location of active food service establishments and the violations that were found at the time of the inspection. Active food service establishments include only establishments that are currently operating. This dataset excludes inspections conducted in New York City (https://data.cityofnewyork.us/Health/Restaurant-Inspection-Results/4vkw-7nck), Suffolk County (http://apps.suffolkcountyny.gov/health/Restaurant/intro.html) and Erie County (http://www.healthspace.com/erieny). Inspections are a “snapshot” in time and are not always reflective of the day-to-day operations and overall condition of an establishment. Occasionally, remediation may not appear until the following month due to the timing of the updates. Update frequencies and availability of historical inspection data may vary from county to county. Some counties provide this information on their own websites and information found there may be updated more frequently. This dataset is refreshed on a monthly basis. The inspection data contained in this dataset was not collected in a manner intended for use as a restaurant grading system, and should not be construed or interpreted as such. Any use of this data to develop a restaurant grading system is not supported or endorsed by the New York State Department of Health. Historical inspection data through 2005 is also available. Inactive (closed) establishments can be found at: https://health.data.ny.gov/Health/Food-Service-Establishment-Inspections-Beginning-2/aaxz-j6pj. For more information, visit http://www.health.ny.gov/regulations/nycrr/title_10/part_14/subpart_14-1.htm or go to the “About” tab.

  3. f

    Table 1_Self-reported data validity for assessment of systemic and oral...

    • frontiersin.figshare.com
    docx
    Updated Mar 6, 2025
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    Alessandra Neves-Guimaraes; Ruzan Udumyan; Kartheyaene Jayaprakash Demirel; Pernilla Larsson Gran; Carin Starkhammar; Carina Källestål (2025). Table 1_Self-reported data validity for assessment of systemic and oral health as risk for dependency in old age: a cohort profile of elderly individuals in mid Sweden.docx [Dataset]. http://doi.org/10.3389/froh.2025.1491723.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    Frontiers
    Authors
    Alessandra Neves-Guimaraes; Ruzan Udumyan; Kartheyaene Jayaprakash Demirel; Pernilla Larsson Gran; Carin Starkhammar; Carina Källestål
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Sweden
    Description

    PurposeThe Mid Sweden Cohort (MSC) was established to investigate self-perceived oral and general health among two groups of aging individuals in two counties (Örebro and Östergötland) in Sweden. For internal and external data validation, we linked collected data on health status, behavior, sociodemographic circumstances, and dependency with national register data from Statistics Sweden and compared non-respondents and those lost to follow-up to respondents.ParticipantsMSC is based on a longitudinal multiwave study of aging men and women who answered a cross-sectional questionnaire from MSC: (1) the 1992 cohort including participants aged 50 years in 1992 and (2) the 2007 cohort including participants aged 75 years in 2007. After the baseline surveys, data collection was conducted every 5 years, with the latest wave from 2017 included in our validation. Between 1992 and 2017, 8,879 participants were included in cohort 1, while 5,191 individuals were included in cohort 2 between 2007 and 2017.ResultsAfter linking self-reported data with national register-based data and analyzing loss to follow-up and non-response numbers, we found that, besides age, factors such as being male, having immigrant status, lower income and education level, being single, and being in poor health were predictors of non-response and loss to follow-up, aligning with the findings of other studies. Based on our results, we conclude the MSC is reliable for further research, provided the observed bias is taken into account.Future plansUsing the MSC, we aim to analyze self-reported oral health changes as a predictor of dependency in the elderly and track oral health status over time. Furthermore, we plan to link data with register-based clinical oral health records. We also intend to add the 2022 wave data and future waves into the existing dataset.

  4. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 6, 2025
    + more versions
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Health%20Systems%20Management%20&%20Masters%20In%20Business%20Administration
    Explore at:
    Dataset updated
    Apr 6, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Health Systems Management & Masters In Business Administration from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Health Systems Management & Masters In Business Administration relative to other fields. This data is essential for students assessing the return on investment of their education in Health Systems Management & Masters In Business Administration, providing a clear picture of financial prospects post-graduation.

  5. P

    Global Umbilical Cord Mesenchymal Stem Cell Storage Market Industry Best...

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Umbilical Cord Mesenchymal Stem Cell Storage Market Industry Best Practices 2025-2032 [Dataset]. https://www.statsndata.org/report/umbilical-cord-mesenchymal-stem-cell-storage-market-283383
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Jun 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Umbilical Cord Mesenchymal Stem Cell (UC-MSC) storage market is an emerging segment within the broader field of regenerative medicine, drawing significant interest from both healthcare professionals and expectant parents. This market revolves around the collection and cryogenic storage of mesenchymal stem cells

  6. 4

    Data underlying the MSc thesis: Deep learning segmentation of 3D ultrasound...

    • data.4tu.nl
    zip
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    Roxane Munsterman, Data underlying the MSc thesis: Deep learning segmentation of 3D ultrasound thyroid imaging [Dataset]. http://doi.org/10.4121/265d24f7-a02f-43bd-9807-aa731dad6431.v1
    Explore at:
    zipAvailable download formats
    Dataset provided by
    4TU.ResearchData
    Authors
    Roxane Munsterman
    License

    https://data.4tu.nl/info/fileadmin/user_upload/Documenten/4TU.ResearchData_Restricted_Data_2022.pdfhttps://data.4tu.nl/info/fileadmin/user_upload/Documenten/4TU.ResearchData_Restricted_Data_2022.pdf

    Time period covered
    Feb 2023
    Area covered
    Enschede
    Description

    3D ultrasound data acquired with a matrix probe and philips system in february 2023.

    Dataset_PHILIPS_save3D_and_saveMPR:

    Left and right thyroid lobe scan of 57 healthy volunteers.

    Data is ordered by participant numbers, containing 10 files per patient:

    3 MPR files (axial, coronal and saggital orientation) per lobe (higher resolution)

    1 Save3D DICOM (philips) file per lobe (more slices)

    This data was not altered after collection from the US system.


    Annotated 27 subjects:

    Contains the first 27 subjects of the folder Dataset_PHILIPS_save3D_and_saveMPR_35GB. Philips DICOM tags were changed to regular DICOM tags and samples were rotated. Contains one annotation file per subject containing thyroid, jugular vein and cartid artery.


    More information can be found in my thesis: deep learning segmentation of 3D ultrasound thyroid imaging

  7. N

    RTLS in Healthcare Market Size and Share | Statistics - 2030

    • nextmsc.com
    pdf,excel,csv,ppt
    Updated May 23, 2025
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    Next Move Strategy Consulting (2025). RTLS in Healthcare Market Size and Share | Statistics - 2030 [Dataset]. https://www.nextmsc.com/report/rtls-healthcare-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Next Move Strategy Consulting
    License

    https://www.nextmsc.com/privacy-policyhttps://www.nextmsc.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    RTLS in Healthcare Market is predicted to reach USD 8.02 billion by 2030 with a CAGR of 18.1%

  8. MHPE applicants data

    • figshare.com
    bin
    Updated Apr 29, 2023
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    Adnan (2023). MHPE applicants data [Dataset]. http://doi.org/10.6084/m9.figshare.22721728.v1
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    binAvailable download formats
    Dataset updated
    Apr 29, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Adnan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is the data set for the study on the characteristics and motivational factors of applicants of Masters of Health Professions Education program.

  9. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 3, 2025
    + more versions
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Dds%20Doctor%20Of%20Dental%20Surgery%20Masters%20Of%20Public%20Health%20%20Dental%20Public%20Health%20Residency
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Dds Doctor Of Dental Surgery Masters Of Public Health Dental Public Health Residency from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Dds Doctor Of Dental Surgery Masters Of Public Health Dental Public Health Residency relative to other fields. This data is essential for students assessing the return on investment of their education in Dds Doctor Of Dental Surgery Masters Of Public Health Dental Public Health Residency, providing a clear picture of financial prospects post-graduation.

  10. Data from: Do privacy assurances work? A study of truthfulness in healthcare...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    csv, txt
    Updated Apr 28, 2023
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    Tamara M. Masters; Tamara M. Masters; Mark Keith; Mark Keith; Rachel Hess; Rachel Hess; Jeffrey Jenkins; Jeffrey Jenkins (2023). Do privacy assurances work? A study of truthfulness in healthcare history data collection [Dataset]. http://doi.org/10.5061/dryad.qrfj6q5k8
    Explore at:
    txt, csvAvailable download formats
    Dataset updated
    Apr 28, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Tamara M. Masters; Tamara M. Masters; Mark Keith; Mark Keith; Rachel Hess; Rachel Hess; Jeffrey Jenkins; Jeffrey Jenkins
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Patients often provide untruthful information about their health to avoid embarrassment, evade treatment, or prevent financial loss. Privacy disclosures (e.g. HIPAA) intended to dissuade privacy concerns may actually increase patient lying. We used new mouse tracking-based technology to detect lies through mouse movement (distance and time to response) and patient answer adjustment in an online controlled study of 611 potential patients, randomly assigned to one of six treatments. Treatments differed in the notices patients received before health information was requested, including notices about privacy, benefits of truthful disclosure, and risks of inaccurate disclosure. Increased time or distance of device mouse movement and greater adjustment of answers indicate less truthfulness. Mouse tracking revealed a significant overall effect (p < 0.001) by treatment on the time to reach their final choice. The control took the least time indicating greater truthfulness and the privacy + risk group took the longest indicating the least truthfulness. Privacy, risk, and benefit disclosure statements led to greater lying. These differences were moderated by gender. Mouse tracking results largely confirmed the answer adjustment lie detection method with an overall treatment effect (p < .0001) and gender differences (p < .0001) on truthfulness. Privacy notices led to decreased patient honesty. Privacy notices should perhaps be administered well before personal health disclosure is requested to minimize patient untruthfulness. Mouse tracking and answer adjustment appear to be healthcare lie-detection methods to enhance optimal diagnosis and treatment.

  11. Occupational and personal-related characteristics of health care providers...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Fisha Alebel GebreEyesus; Tadesse Tsehay Tarekegn; Baye Tsegaye Amlak; Bisrat Zeleke Shiferaw; Mamo Solomon Emeria; Omega Tolessa Geleta; Tamene Fetene Terefe; Mtiku Mammo Tadereregew; Melkamu Senbeta Jimma; Fatuma Seid Degu; Elias Nigusu Abdisa; Menen Amare Eshetu; Natnael Moges Misganaw; Ermias Sisay Chanie (2023). Occupational and personal-related characteristics of health care providers in Gurage Zone, SNNPR, South West, Ethiopia, 2020. [Dataset]. http://doi.org/10.1371/journal.pone.0259906.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Fisha Alebel GebreEyesus; Tadesse Tsehay Tarekegn; Baye Tsegaye Amlak; Bisrat Zeleke Shiferaw; Mamo Solomon Emeria; Omega Tolessa Geleta; Tamene Fetene Terefe; Mtiku Mammo Tadereregew; Melkamu Senbeta Jimma; Fatuma Seid Degu; Elias Nigusu Abdisa; Menen Amare Eshetu; Natnael Moges Misganaw; Ermias Sisay Chanie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Southern Nations, Nationalities and Peoples, South West Ethiopia Peoples' Region, Ethiopia, Gurage
    Description

    Occupational and personal-related characteristics of health care providers in Gurage Zone, SNNPR, South West, Ethiopia, 2020.

  12. d

    Replication Data for: Are Mechanical Turk worker samples representative of...

    • search.dataone.org
    Updated Nov 22, 2023
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    Wright, Davene R. (2023). Replication Data for: Are Mechanical Turk worker samples representative of health status and health behaviors in the U.S.? [Dataset]. http://doi.org/10.7910/DVN/I7U3GT
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Wright, Davene R.
    Description

    A cross-sectional survey comprised of questions from the nationally-representative 2014 Behavioral Risk Factor Surveillance System (BRFSS) and 2014 National Health and Nutrition Examination Survey (NHANES) was administered to 591 MTurk workers and 393 masters in 2016. Health status (asthma, depression, BMI, and general health), health behaviors (influenza vaccination, health insurance, smoking, and physical activity), and demographic characteristics of the two MTurk populations (workers and masters) were compared to each other and, using Poisson regression, to a nationally-representative BRFSS and NHANES samples.

  13. m

    Shiraz Women's Healthy Ageing Cohort Project(SWHACP©)

    • data.mendeley.com
    Updated Nov 28, 2019
    + more versions
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    Abdolrahim Asadollahi, PhD, MSC., GGCP (2019). Shiraz Women's Healthy Ageing Cohort Project(SWHACP©) [Dataset]. http://doi.org/10.17632/tzzfkpffrf.2
    Explore at:
    Dataset updated
    Nov 28, 2019
    Authors
    Abdolrahim Asadollahi, PhD, MSC., GGCP
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The attached data-set is a comprehensive and expanded study on women's health and ageing in the city of Shiraz in mid-2019. The statistical population includes all elderly women over 60 years of age living in Shiraz, southern Iran. The sample includes 9117 elderly female and data was collected over the years 2017 till now.

  14. f

    Data from: Average salary

    • froghire.ai
    + more versions
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    FrogHire.ai, Average salary [Dataset]. https://www.froghire.ai/major/Pharmacy%20Also%20Has%20Masters%20Of%20Health%20Care%20Mgmnt%20Degree2011%20From%20California%20Takshila%20University%2C%20Ca
    Explore at:
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Pharmacy Also Has Masters Of Health Care Mgmnt Degree2011 From California Takshila University, Ca from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Pharmacy Also Has Masters Of Health Care Mgmnt Degree2011 From California Takshila University, Ca relative to other fields. This data is essential for students assessing the return on investment of their education in Pharmacy Also Has Masters Of Health Care Mgmnt Degree2011 From California Takshila University, Ca, providing a clear picture of financial prospects post-graduation.

  15. f

    Factors associated with anxiety among health care providers in Gurage Zone...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Fisha Alebel GebreEyesus; Tadesse Tsehay Tarekegn; Baye Tsegaye Amlak; Bisrat Zeleke Shiferaw; Mamo Solomon Emeria; Omega Tolessa Geleta; Tamene Fetene Terefe; Mtiku Mammo Tadereregew; Melkamu Senbeta Jimma; Fatuma Seid Degu; Elias Nigusu Abdisa; Menen Amare Eshetu; Natnael Moges Misganaw; Ermias Sisay Chanie (2023). Factors associated with anxiety among health care providers in Gurage Zone health institutions, SNNPR, South West, Ethiopia, 2020. [Dataset]. http://doi.org/10.1371/journal.pone.0259906.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Fisha Alebel GebreEyesus; Tadesse Tsehay Tarekegn; Baye Tsegaye Amlak; Bisrat Zeleke Shiferaw; Mamo Solomon Emeria; Omega Tolessa Geleta; Tamene Fetene Terefe; Mtiku Mammo Tadereregew; Melkamu Senbeta Jimma; Fatuma Seid Degu; Elias Nigusu Abdisa; Menen Amare Eshetu; Natnael Moges Misganaw; Ermias Sisay Chanie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Southern Nations, Nationalities and Peoples, South West Ethiopia Peoples' Region, Ethiopia, Gurage
    Description

    Factors associated with anxiety among health care providers in Gurage Zone health institutions, SNNPR, South West, Ethiopia, 2020.

  16. f

    Prevalence of perceived stress among health care providers in Gurage Zone,...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Fisha Alebel GebreEyesus; Tadesse Tsehay Tarekegn; Baye Tsegaye Amlak; Bisrat Zeleke Shiferaw; Mamo Solomon Emeria; Omega Tolessa Geleta; Tamene Fetene Terefe; Mtiku Mammo Tadereregew; Melkamu Senbeta Jimma; Fatuma Seid Degu; Elias Nigusu Abdisa; Menen Amare Eshetu; Natnael Moges Misganaw; Ermias Sisay Chanie (2023). Prevalence of perceived stress among health care providers in Gurage Zone, SNNPR, South West, Ethiopia, 2020. [Dataset]. http://doi.org/10.1371/journal.pone.0259906.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Fisha Alebel GebreEyesus; Tadesse Tsehay Tarekegn; Baye Tsegaye Amlak; Bisrat Zeleke Shiferaw; Mamo Solomon Emeria; Omega Tolessa Geleta; Tamene Fetene Terefe; Mtiku Mammo Tadereregew; Melkamu Senbeta Jimma; Fatuma Seid Degu; Elias Nigusu Abdisa; Menen Amare Eshetu; Natnael Moges Misganaw; Ermias Sisay Chanie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South West Ethiopia Peoples' Region, Gurage, Southern Nations, Nationalities and Peoples, Ethiopia
    Description

    Prevalence of perceived stress among health care providers in Gurage Zone, SNNPR, South West, Ethiopia, 2020.

  17. R

    Data from: Effects of MSC on Psychometric tests and an Empathy for pain task...

    • redata.anii.org.uy
    ods
    Updated Mar 5, 2024
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    Tamara Liberman; Martín Bidegain; Andrea Berriel; Francisco López; Alexander Ibarra; Mikaela Pisani; Sol Polero; Gonzalo Brito; Ana Carolina Pereira; Silvana López; María Castelló; Tamara Liberman; Martín Bidegain; Andrea Berriel; Francisco López; Alexander Ibarra; Mikaela Pisani; Sol Polero; Gonzalo Brito; Ana Carolina Pereira; Silvana López; María Castelló (2024). Effects of MSC on Psychometric tests and an Empathy for pain task in Uruguayan teachers. [Dataset]. http://doi.org/10.60895/redata/6PG4F4
    Explore at:
    ods(22833)Available download formats
    Dataset updated
    Mar 5, 2024
    Dataset provided by
    Repositorio de datos abiertos de investigación de Uruguay
    Authors
    Tamara Liberman; Martín Bidegain; Andrea Berriel; Francisco López; Alexander Ibarra; Mikaela Pisani; Sol Polero; Gonzalo Brito; Ana Carolina Pereira; Silvana López; María Castelló; Tamara Liberman; Martín Bidegain; Andrea Berriel; Francisco López; Alexander Ibarra; Mikaela Pisani; Sol Polero; Gonzalo Brito; Ana Carolina Pereira; Silvana López; María Castelló
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Uruguay
    Dataset funded by
    Agencia Nacional de Investigación e Innovación (ANII)
    Description

    This research base includes: 1) self-reported data from the following tests: i) Five-facet Mindfulness Questionnaire (FFMQ; Baer et al, 2006; Cebolla et al., 2012; Quintana et al., 2017), ii) Scale self-pity (SCS; Neff, 2003a; García-Campayo, 2014); iii) Interpersonal Reactivity Index (IRI; Davis, 1980, 1983; Fernández et al., 2011), iv) Perceived Stress Scale (PSS; Cohen et al., 1983; Tapia et al., 2007); and v) World Health Organization-5 Well-being Index (WHO-5; World Health Organization, 1998; Topp et al., 2015). 2) data from the in-person pain empathy task, according to Baez et al. (2017). These data were collected within the framework of a research project whose objectives were to evaluate the effects of virtual training in conscious self-compassion (MSC) on mindfulness, self-compassion, stress, well-being, and empathy in Uruguayan primary school teachers. For this, a quasi-experimental, longitudinal study was carried out. The volunteer teachers were randomly assigned to virtual nine-week MSC or Kundalini Yoga (KY; active control) trainings. They completed self-reports and performed the pain empathy task (PTT) before, after training, and at follow-up (3 months).

  18. Hospital Chargemasters

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    zip
    Updated Oct 7, 2024
    + more versions
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    Department of Health Care Access and Information (2024). Hospital Chargemasters [Dataset]. https://data.chhs.ca.gov/dataset/chargemasters
    Explore at:
    zip(564467341), zip(243189626), zip(242190556), zip(271072163), zip(263064822), zip(237780723), zip(226308410), zip(264486994), zip(256914973), zip(271130648), zip(261492388), zip(367638205), zip(883069869), zip(689244251)Available download formats
    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description

    This dataset contains Hospital Chargemasters with prices in effect as of June 1 of their reporting year. Chargemasters consists of a list of average charges for 25 common outpatient procedures, and the estimated percentage change in gross revenue due to price changes each July 1.

    For more on HCAI Chargemaster Data.

  19. D

    Digital Transformation Healthcare Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jan 21, 2025
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    Pro Market Reports (2025). Digital Transformation Healthcare Market Report [Dataset]. https://www.promarketreports.com/reports/digital-transformation-healthcare-market-8281
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Digital Transformation Healthcare Market can be segmented into the following products:**Hardware: Hardware includes devices such as computers, servers, and medical equipment that are used to support digital transformation initiatives.Software: Software includes applications and platforms that are used to manage healthcare data, improve patient outcomes, and automate administrative tasks.Services: Services include consulting, implementation, and support services that are provided by vendors to help healthcare providers and insurers implement and manage digital transformation initiatives. Recent developments include: In February 2021, HCL Technologies and Alteryx, Inc., a leader in analytic process automation, have formed a strategic relationship (APA). The alliance's goal is to help businesses all over the world achieve their analytics mechanisation and digitalization goals. HCL has also been classified as an Alteryx Elite Alliance Partner as a result of this strategic engagement., In May 2022, In order to enable a significant business change encompassing crucial business processes, Ducati announced a partnership in which it had chosen the RISE with SAP solution. The goal of this collaboration is to create an intelligent business network that enhances the quality and timeliness of the information while extending the digitalization of processes., In April 2022, Projection with IBM Watson was launched thanks to a partnership between IBM and the Masters tournament. It generates daily predictions for each golfer taking part in the Masters. In order to create the Players insights and Projections, the IBM Consulting team used the AutoAl capabilities in IBM Watson Studio to train Al models using Masters data spanning six years (2016-2021), including data from more than 120,000 golf shots.. Key drivers for this market are: The growing global population and aging demographics are increasing the demand for healthcare services, pushing organizations to adopt digital solutions for better scalability and efficiency.. Potential restraints include: The initial cost of implementing digital healthcare solutions, including technology infrastructure, training, and maintenance, can be a barrier for smaller healthcare providers.. Notable trends are: The use of telemedicine and remote patient monitoring technologies is growing rapidly, providing patients with convenient, cost-effective healthcare options, especially in underserved areas..

  20. f

    Data underlying the MSc thesis: An Interactive Suicide Ideation Self-Test...

    • figshare.com
    xlsx
    Updated Jun 6, 2023
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    Siyu Chen (2023). Data underlying the MSc thesis: An Interactive Suicide Ideation Self-Test Service for Helping People Resolve Barriers towards Contacting a Suicide Prevention Helpline [Dataset]. http://doi.org/10.4121/16566954.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    4TU.ResearchData
    Authors
    Siyu Chen
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The dataset is a result of the master thesis 'An Interactive Suicide Ideation Self-Test Service for Helping People Resolve Barriers towards Contacting a Suicide Prevention Helpline'. It also includes an R script with details of the analysis. An experimental research was conducted for the topic with measures of participants' motivation levels towards seeking professional psychological help, feeling of being heard, satisfaction with the service and perceived usefulness. The data was collected from participants recruited from Prolific.The type of data is discrete quantitative data.

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Link copied
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Wei Zhu (2020). Wei Zhu_QDU MSC Dataset [Dataset]. http://doi.org/10.17632/5v2mbp2sdx.1

Wei Zhu_QDU MSC Dataset

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Dataset updated
Dec 24, 2020
Authors
Wei Zhu
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This file is related to Piezo1-mechanically sensitive channel study

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