Digital health dashboards are technology platforms that collect, organize, and show health data from many sources in a clear and easy-to-use way. They offer a central place where people like hospital administrators and public health officials can see up-to-date information on health risks, resource needs, and access to services.
During public health emergencies, these dashboards use data from both citizens and healthcare workers. Citizens report problems such as COVID-19 risks, food shortages, or troubles getting healthcare through special web apps called Progressive Web Applications (PWAs). This data is made anonymous to protect privacy and stored securely using cloud services like Amazon Elastic Compute Cloud (AWS).
The dashboards use tools like Microsoft Power BI to turn large amounts of data into visual charts and graphs. This helps spot trends, dangers, and urgent needs in communities. Showing information visually allows leaders and policymakers to act quickly and send help where it is most needed.
The healthcare system in the U.S. is complicated, with different levels of care available in different areas. Digital health dashboards help by providing flexible solutions that fit specific regions or communities. According to researcher Tarun Reddy Katapally and others, these dashboards are useful because they focus on what citizens need and help health officials make decisions.
During the COVID-19 pandemic, three main needs were found by a Citizen Scientist Advisory Council: managing COVID-19 risks at home, supporting food security, and improving access to public services. Dashboards that track these needs update data regularly, helping community leaders respond fast.
For healthcare managers, this means better planning for resources and risks. It helps keep patients organized and improve safety rules. IT managers also benefit because the cloud system keeps data secure. Only authorized users can see sensitive information, which lowers the chance of data being leaked or misused.
By using data from community members, digital health dashboards give a better picture of public health than old methods that often used delayed or missing information.
Dashboard projects also create clear communication between the public and officials. This helps build trust and makes people more likely to follow health advice during emergencies.
Digital health dashboards work well because they use artificial intelligence (AI) and automation. These tools help handle lots of data fast and reduce the work health staff must do by hand.
For healthcare practice owners, AI-enabled dashboards are useful because they improve work efficiency without needing many new employees or equipment. By automating simple jobs and offering clear data, healthcare teams can focus more on patient care and public health work.
Protecting data privacy and security is very important when working with health information. These dashboards use cloud systems and safe software to meet strict rules like HIPAA in the U.S.
IT managers in medical offices or health agencies benefit from these platforms because they combine strong security and the ability to grow. Both small clinics and large health departments get a smooth user experience and reliable data.
Public health in the United States faces ongoing problems, such as unequal access to care, health differences among groups, and the need to act fast in emergencies. Digital health dashboards help with these issues by:
Tarun Reddy Katapally and colleagues say that success with these dashboards comes from involving regular citizens in data collection. This creates a shared responsibility where both officials and people work together to manage public health.
Those in charge of medical offices and IT teams can think about using or adding digital health dashboards as part of their planning for public health emergencies. Some things to remember are:
Using AI tools and detailed data analysis can change how healthcare groups understand and act on new health issues. This can improve patient care and reduce stress for healthcare workers handling tough situations.
Digital health dashboards represent progress in how the United States handles public health emergencies. By combining citizen input, big data, cloud computing, and AI automation, these tools give medical leaders and IT staff clearer and faster data for decision making. Using secure and interactive platforms makes it possible to meet community needs carefully and fairly, improving health safety during difficult times.
The main goal of digital health dashboards is to facilitate rapid decision-making by providing real-time data analytics that inform public health crisis management.
Digital health dashboards utilize global digital citizen science by engaging citizens to collect and analyze big data, which is then visualized to aid decision-making.
The dashboard prioritizes three critical needs: management of household COVID-19 risk, food security facilitation, and accessibility of public services.
The dashboard was created using Microsoft Power Business Intelligence and hosted on Amazon Elastic Compute Cloud for secure data management and visualization.
Data security is ensured through anonymization and aggregation of big data collected via the Progressive Web Application, along with delegated access and secure connections.
The digital health dashboard features a bidirectional engagement system that allows decision makers to interact directly with citizens, addressing their queries in real time.
Key features include real-time risk management alerts, citizen issue reporting capabilities, and a food security management system.
These dashboards can transform public health policy by prioritizing community needs and enabling swift, informed responses to public health crises.
Big data is central to the dashboard’s functionality, providing insights that reflect citizen behavior and needs, essential for rapid decision-making.
A replicable and scalable methodology was utilized to ensure that the dashboard meets jurisdiction-specific needs, integrating systems beyond healthcare.