The Live Healthy Loudoun Community Health Dashboard is a web-based data resource for the Loudoun County community. This site enables anybody to explore existing population data. The Community Health Dashboard provides online access to data on a broad range of topics, links to existing local data resources, and highlights promising practices to promote community health and well-being.The Community Health Dashboard is a component of the Live Healthy Loudoun initiative, which aims to transform our communities together. To learn more about this initiative, please visit us on the web at: https://www.loudoun.gov/livehealthy

This dashboard shows historic and current data related to this performance measure. The performance measure dashboard is available at 3.34 Community Health and Well-Being. Data Dictionary

The performance measure dashboard is available at 3.34 Community Health and Well-Being. Data Dictionary

The following datasets are based on the children and youth (under age 21) beneficiary population and consist of aggregate Mental Health Service data derived from Medi-Cal claims, encounter, and eligibility systems. These datasets were developed in accordance with California Welfare and Institutions Code (WIC) § 14707.5 (added as part of Assembly Bill 470 on 10/7/17). Please contact BHData@dhcs.ca.gov for any questions or to request previous years’ versions of these datasets. Note: The Performance Dashboard AB 470 Report Application Excel tool development has been discontinued. Please see the Behavioral Health reporting data hub at https://behavioralhealth-data.dhcs.ca.gov/ for access to dashboards utilizing these datasets and other behavioral health data.

The How’s Life? database is the one-stop shop for the 80+ indicators of the OECD Well-being Dashboard, covering social, economic and environmental outcomes that matter most for people, the planet and future generations. It consists of six datasets: current well-being, current well-being vertical inequalities, current well-being by age, educational attainment, sex, and resources for future well-being. To learn more about the database, visit the database's definitions and metadata.

This dataflow covers: Current well-being.


There are 11 dimensions of current well-being in this dataset:

Material conditions
• Income and Wealth
• Housing
• Work and Job Quality

Quality of Life
• Health
• Knowledge and Skills
• Environmental Quality
• Subjective Well-being
• Safety

Community relationships
• Work-Life Balance
• Social Connections
• Civic Engagement

The following datasets are based on the adult (age 21 and over) beneficiary population and consist of aggregate MHS data derived from Medi-Cal claims, encounter, and eligibility systems. These datasets were developed in accordance with California Welfare and Institutions Code (WIC) § 14707.5 (added as part of Assembly Bill 470 on 10/7/17). Please contact BHData@dhcs.ca.gov for any questions or to request previous years’ versions of these datasets. Note: The Performance Dashboard AB 470 Report Application Excel tool development has been discontinued. Please see the Behavioral Health reporting data hub at https://behavioralhealth-data.dhcs.ca.gov/ for access to dashboards utilizing these datasets and other behavioral health data.

The personalized health dashboard service market is experiencing robust growth, driven by the increasing adoption of wearable technology, rising health consciousness among consumers, and the proliferation of remote patient monitoring solutions. The market's expansion is fueled by a convergence of factors: the availability of sophisticated data analytics capabilities allowing for personalized health insights, the growing demand for preventative healthcare, and the increasing integration of health data from diverse sources (wearables, EMRs, etc.) into a single, easily accessible dashboard. This allows individuals and healthcare providers to make more informed decisions, leading to improved health outcomes and reduced healthcare costs. While the precise market size for 2025 is unavailable, considering a reasonable CAGR of 15% from a hypothetical 2024 market size of $5 billion (a conservative estimate given the market's growth trajectory), we can project a 2025 market size of approximately $5.75 billion. This growth is expected to continue throughout the forecast period (2025-2033). Key players like Fitbit (Google), Apple HealthKit, and Garmin Connect are leading the market, leveraging their established user bases and technological expertise. However, the market is also characterized by a significant number of emerging companies focusing on specialized areas within personalized health, like chronic disease management (Omada Health, Vida Health). Market restraints include data privacy concerns, interoperability challenges between different health data platforms, and the need for robust cybersecurity measures to protect sensitive patient information. Future trends include increased personalization driven by AI and machine learning, greater integration with telehealth platforms, and the development of more sophisticated predictive analytics capabilities to anticipate potential health risks. The segmentation within the market likely includes various pricing tiers based on features and functionalities, different user types (individual consumers, healthcare providers, employers), and service delivery models. The geographic distribution is expected to see continued strong performance in North America and Europe, followed by steady expansion in Asia-Pacific and other emerging markets.

This data set has been archived and will no longer be maintained after January 2018.

The Performance Dashboard (formerly Performance Outcomes System) datasets are developed in line with legislative mandates to improve outcomes and inform decision making regarding individuals receiving Medi-Cal Specialty Mental Health Services (SMHS). The Dashboard gathers information relevant to specific mental health outcomes and provides useful summary reports for ongoing quality improvement and to support decision making. Please note: the Excel file Performance Dashboard has been discontinued and replaced with the SMHS Performance Dashboards found on Behavioral Health Reporting (ca.gov).

The Performance Dashboard (formerly Performance Outcomes System) datasets are developed in line with legislative mandates to improve outcomes and inform decision making regarding individuals receiving Medi-Cal Specialty Mental Health Services (SMHS). The Dashboard gathers information relevant to specific mental health outcomes and provides useful summary reports for ongoing quality improvement and to support decision making. Please note: the Excel file Performance Dashboard has been discontinued and replaced with the SMHS Performance Dashboards found on Behavioral Health Reporting (ca.gov).

Cities with City Health Dashboard data currently in Chattadata

The health system dashboard provides headline indicators and supporting statistics on the Tasmanian public health system. It provides a wide range of information about the performance of Tasmania’s …Show full descriptionThe health system dashboard provides headline indicators and supporting statistics on the Tasmanian public health system. It provides a wide range of information about the performance of Tasmania’s health system services, including hospital, oral health, breast screening, mental health and ambulance services. The health system dashboard is published four times a year through the HealthStats website (https://www.healthstats.dhhs.tas.gov.au). The Data Notes document contains a brief description of indicators, caveats and notes to assist with interpretation of the dataset. The Data Notes should be read before interpreting or making use of the data.

IntroductionPublic health is not only threatened by diseases, pandemics, or epidemics. It is also challenged by deficits in the communication of health information. The current COVID-19 pandemic demonstrates that impressively. One way to deliver scientific data such as epidemiological findings and forecasts on disease spread are dashboards. Considering the current relevance of dashboards for public risk and crisis communication, this systematic review examines the state of research on dashboards in the context of public health risks and diseases.MethodNine electronic databases where searched for peer-reviewed journal articles and conference proceedings. Included articles (n = 65) were screened and assessed by three independent reviewers. Through a methodological informed differentiation between descriptive studies and user studies, the review also assessed the quality of included user studies (n = 18) by use of the Mixed Methods Appraisal Tool (MMAT).Results65 articles were assessed in regards to the public health issues addressed by the respective dashboards, as well as the data sources, functions and information visualizations employed by the different dashboards. Furthermore, the literature review sheds light on public health challenges and objectives and analyzes the extent to which user needs play a role in the development and evaluation of a dashboard. Overall, the literature review shows that studies that do not only describe the construction of a specific dashboard, but also evaluate its content in terms of different risk communication models or constructs (e.g., risk perception or health literacy) are comparatively rare. Furthermore, while some of the studies evaluate usability and corresponding metrics from the perspective of potential users, many of the studies are limited to a purely functionalistic evaluation of the dashboard by the respective development teams.ConclusionThe results suggest that applied research on public health intervention tools like dashboards would gain in complexity through a theory-based integration of user-specific risk information needs.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=200178, identifier: CRD42020200178.

Racial/ethnic health disparities are higher rates of serious health conditions or deaths that affect communities of color. These disparities can result in shorter lifespans and lower quality of life, are rooted in inequities in the opportunities and resources needed for good health, such as education, employment, safe and healthy neighborhoods, and access to health care. These inequities are often the result of current and historical institutionalized racism or explicit racial bias.

The following dashboard shows statewide Behavioral Health Help Line (BHHL) utilization data and some demographic data about BHHL callers. This data is collected by the Massachusetts Behavioral Health Partnership (MBHP), the vendor that operates the BHHL, and maintained by the Department of Mental Health (DMH).

Philadelphia Council District Health Dashboard - Dataset and Codebook

Description

This dataset supports the Philadelphia Council District Health Dashboard, an interactive web application that visualizes health disparities and social determinants of health across Philadelphia's 10 City Council Districts. The dashboard provides district-level insights to guide equitable policy and investment decisions by City Council members and the public.

Background

Philadelphia residents experience drastically different health outcomes across the city – differences shaped by federal, state, and local policies rather than individual choices alone. This project maps key health indicators across all 10 Philadelphia City Council Districts to show how politics and geography intersect to shape Philadelphian health.

Data Sources

• US Census Bureau American Community Survey (ACS) 5-year estimates (2018-2022)
• Open Data Philly (2015-2024)

Data aggregated from original geographic units to City Council District boundaries using population-weighted methods.

Dataset Contents

Files:

• data_v1.csv - Main dataset containing health indicators by Philadelphia City Council District
• codebook_v1.csv - Complete metadata and variable documentation

Methodology

• Population-weighted aggregation for demographic/socioeconomic variables
• Area-weighted aggregation for environmental variables
• Count aggregation for incident data
• City averages calculated as population-weighted across districts

Geographic Coverage

• Unit: Philadelphia City Council Districts (n=10)
• Period: 2018-2022 (ACS), 2015-2024 (Open Data Philly)

Applications

Supports policy analysis, community advocacy, academic research, and public health planning at the district level.

Contact

Authors

Amber Bolli, Tamara Rushovich, Ran Li, Stephanie Hernandez, Alina Schnake-Mahl

Funding

Transform Academia for Equity grant from Robert Wood Johnson Foundation

Keywords

Philadelphia, City Council, Health Disparities, Social Determinants, Urban Health, Public Policy, Geospatial Analysis

This dashboard shows information about how the Issues of Export Health Certificates service is currently performing.

This is a "beta" service. The dashboard shows number of digital transactions, total cost of transactions, cost per transaction and take-up of digital services. Performance Dashboards are likely to be used by many people, including:

government service managers and their teams journalists students and researchers members of the public interested in how public services are performing The service also provides the option of a download of the data. Attribution statement:

This dashboard shows information about how the Animal health: subscriptions to alerts for exotic disease outbreaks service is currently performing. This is a "beta" service. The dashboard shows number of digital transactions, total cost of transactions, cost per transaction and take-up of digital services. Performance Dashboards are likely to be used by many people, including:

government service managers and their teams journalists students and researchers members of the public interested in how public services are performing The service also provides the option of a download of the data.