Doctors have demanding schedules that involve many responsibilities beyond just collecting and organizing patients' data. A research conducted by PwC reports that by automating repetitive stuff, such as collecting medical data, and filling reports related tasks, doctors can save 2 hours per working day.
Doctors’ time is too valuable.
Scattered Healthcare IT systems harden data gathering.
The process of gathering and analyzing data is a daunting task that can consume a significant amount of time and effort, leaving healthcare professionals with little time to focus on their primary responsibility.
Multi database systems are expensive to maintain.
Manual data dashboarding/mining is not fast enough.
Uncovering best practices and collecting reliable data requires expertise, time and adequate systems. Medical professionals are often overwhelmed with vast amounts of complex data, making it difficult to extract valuable insights that could potentially save lives.
Data mining requires programming skills.
Best practices detection requires data wrangling.
Best practices help to avoid negligence.
Reduction
of doctors' workload time
High
quality of medical data Analysis
Faster
extraction of the best medical practices
Conducts advanced analytics on patient data collected from a centralized database.
Data is processed and organized into tables with detailed percentages and characteristics. These tables are then shared with healthcare professionals for in-depth analysis on their patients.
Data can be visualized using various formats, including time trends, histograms, spider graphs, and logistic regressions to identify best practices.
By leveraging cutting-edge AI and the advanced data workflow and management capabilities of TUPL, you can convert valuable insights into best practices and establish a correlation between medical actions and outcomes.
Get started and request a demo to learn how Medical Data Unifier can help you.
Below you will find answers to the most common questions about MDU.
Medical Data Unifier (MDU) streamlines the management and analysis of diverse medical data, allowing healthcare organizations to extract reliable insights and improve patient care outcomes. It is designed to enable quick and accurate data collection, analysis, and visualization, providing real-time insights and enhancing decision-making processes. The solution leverages cutting-edge technology to transform healthcare delivery, making it more accessible, efficient, and patient-centric.
MDU is trying to solve several issues in the healthcare industry:
Medical Data Unifier SaaS is delivered in cloud service (e.g. AWS, Azure, etc.) and can also be deployed on-premises, in your private cloud, or data center.
Get started with a functional solution in operation within 2-3 weeks. Monthly subscription. No strings attached. Stop at any time.
No-code solutions for AI application development help hospitals and healthcare companies take advantage of this emerging technology without the need to hire technical specialists or investing significant time and capital.
Tupl's software has a simple and intuitive user interface that enables existing personnel to build AI Machine applications for quality assurance in very little time with relatively small datasets and with no programming required.
Get started and request a demo to learn how Medical Data Unifier can help you.
