The Healthcare Data Visualization Tool to Aggregate Patient’s Records

Healthcare Data Visualization Tool to combine visual data residing in different sources and providing users with a unified view of them.

Healthcare Data Visualization Tool for Public Sector Organizations Consultancy Agency

Multiple databases lead to severe problems with duplicates, coupling between the applications, or security. That’s why we designed an app to combine visual data residing in different sources and providing users with a unified view of them.

The Healthcare Data Visualization Tool aggregates information from multiple data warehouses and shares a current version of it across an organization so all shared information will flow.

Client Public sector organizations consultancy agency
Business need database integration visual tool
Scope design, UI/UX, interactive mockups, frontend
Technology Concept work

Healthcare Data Visualization Tool Overview

This image visualizes Database health dashboard for Healthcare Data Visualization Tool

Database health dashboard

The system provides a visual representation of parameters that testify to the condition of the database. Fully customizable widgets and numerous parameters allow for good quality
assessment. In the Healthcare Data Visualization Tool, it is worth paying attention to the spider chart, which compares databases with selected parameters.

Single-record view

This view of the Healthcare Data Visualization Tool focuses on a specific record to show details, such as time, personal and identification data, and aggregated statistics. The user can configure any parameters and save the patients’ cards on a hard drive or in a cloud.

This image visualizes a Single-record view for Healthcare Data Visualization Tool
This image visualizes Database connections for Healthcare Data Visualization Tool

Database connections

The presented Healthcare Data Visualization Tool dashboard views allow observation of various parameters such as temperature, CO2 concentration, and humidity level in the halls or rooms. The dispatcher (admin) can read the number of people in a given area thanks to the
LTE/4G/5G GSM receivers’ numbers logged into the network at that particular moment.

Duplicate records AI

In case of databases overlapping, the Healthcare Data Visualization Tool presents duplicated data allowing the user freedom of action. If some tiny differences appear in records, with the use of artificial intelligence, the automatic connection is on.

This image visualizes Duplicate records AI for healthcare Data Visualization Tool

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Healthcare Data Visualization Tool to Solve Complex Data Challenges

It’s common for multiple database users to experience duplicates, coupling between applications, or security problems. The presented app enables using visual data in different sources and provides users with a unified view.

The Healthcare Data Visualization Tool also aggregates datasets from multiple warehouses and shares the current version across an organization to enable correct information flow.

Benefits of Healthcare Data Visualization Tool

Enriching data records and analytics to provide the most accurate information

Security architeture diagram's builder

Database quality scoring with excluding duplicates and false information

Supporting business intelligence with interactive dashboards and diagrams

Frequently Asked Questions

Data visualization in healthcare refers to the visual representation of healthcare-related data using charts, graphs, maps, and other visual elements. It allows healthcare professionals to understand complex datasets, patterns, and trends more easily, facilitating data-driven decision-making and communication within the healthcare industry.

The four pillars of data visualization are:
a) Clarity: Ensuring that the visual representation effectively communicates the intended message without ambiguity or confusion;
b) Efficiency: Presenting information in a concise and efficient manner to quickly convey insights and facilitate understanding;
c) Intuitiveness: Designing visualizations that are intuitive and easy to interpret, enabling users to grasp information effortlessly;
d) Engagement: Creating visually appealing and engaging visualizations that capture attention and encourage exploration of the data.

Data visualization plays a crucial role in medicine for several reasons. Firstly, it helps in the exploration and analysis of large and complex datasets, allowing healthcare professionals to identify patterns, correlations, and anomalies that might be challenging to detect in raw data. Secondly, it enables effective communication and presentation of data to stakeholders, such as patients, medical professionals, researchers, and policymakers, facilitating better understanding and decision-making. Lastly, data visualization supports the dissemination of research findings and promotes data transparency, which is essential for advancing medical knowledge and improving healthcare outcomes.

There are various examples of healthcare data visualization. One common example is the use of line charts or trend graphs to track and visualize patient vital signs over time, such as heart rate, blood pressure, or glucose levels. Heat maps or choropleth maps can be employed to display regional variations in disease prevalence or healthcare access. Sankey diagrams are utilized to illustrate patient flow through different stages of care, highlighting bottlenecks or inefficiencies. Additionally, dashboards and interactive visualizations can provide an overview of hospital or population health metrics, allowing healthcare professionals to monitor key performance indicators and make informed decisions.

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