Combining our user-centric philosophy with composable architecture, gorgeous design, and raw innovation, we’re on a quest to change the way sites are built.
United Kingdom
Healthcare
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Healthcare Data Analytics Platform
Dedicated Team Engagement
Ongoing since 4 Years
Healthcare professionals, data analysts, and administrative staff.
The given United Kingdom healthcare organization needed to enhance the volume of patient data that they could analyze and visualize. Their core objective was to enhance the accuracy of diagnoses, accelerate decision-making, and thus enhance patient care. They were experiencing significant challenges in converting gargantuan health care data into actionable insights in terms of regulatory compliance and recommendation of personalized treatment strategies. They need a scalable solution that allows them to process, analyze, and represent data properly.
Volume of Data: The health care group was dealing with enormous patient-related files and diagnostic information. The existing system made it a headache to process the large data volumes.
Integration Issues: For example, patient data was flowing in through various sources, such as hospital records and wearable devices, creating difficulties in extracting a single view.
Compliance with Regulatory Issues: All these were expected to be strictly adherent to HIPAA, going into minute details.
Lack of Real-Time Analytics: The constraint of real-time data analytics was that it could not provide instant, accurate diagnoses and subsequent treatment programs.
Construction of Big Data Infrastructure: We developed a Big Data scalable architecture using Apache Spark. Because of this, the system is now processing large numbers of patient data with real-time analysis. Data was being pulled out from a variety of health systems and later placed in a central repository.
Java & RoR Integration: Java at the back end ensured that data processing was reliable in every sense, and Ruby on Rails allowed agile development of the web application such that data access was made available to healthcare professionals efficiently.
Complex Data Visualization with Tableau: It is through integration with Tableau that there was intuitive and action-oriented visualization of the data. The healthcare providers could analyze the trends in condition of patients, treatment outcome, and operational efficiency in a highly user-friendly environment.
Real-Time Analytics: Through Spark, we presented real-time data insights to the clinicians who could see the live patient data and then give the much-needed treatment recommendations with more accuracy and also support from the backend data.
Improved Decision Making: Healthcare providers were able to improve their decisions through this portal as there was a 35% rise in proper diagnosis. Data Processing Time Reduced: Data of large volumes was processed in the shortest time possible, by 50%, thanks to Spark and Big Data architecture.
Real-time insights: These insights helped diagnose patients quicker with more customized treatment plans, thus enhancing the outcome in terms of patient care by 30%.
Operational Efficiency: Massed data from multiple sources were integrated and streamlined effectively so that their overall operational efficiency at the health institution improved by 40%.
Adorebits’s approach addressed the needs of data processing for the client while revolutionizing their approach toward patient care and giving them a competitive edge in healthcare analytics.
Drop us a message or book a quick call. Whether it’s revamping a full-blown site or nurturing the kernel of an idea, we’re here to make it happen.
Hop on a quick call and turn half an hour into the start of something great.