Healthcare
Healthcare Data Analytics
Tell us about your project.
Historical Data Assisting Future Decisions
Utilizing advanced technologies and historical data to improve processes and caretaking
At Orases, we specialize in providing healthcare data analytics to optimize healthcare organization’s clinical and business processes.
The ability to access and retain patient’s data easily, enables healthcare providers the ability to improve the accuracy and effectiveness of the decisions related to treatments and diagnosis.
Why Orases?Featured Healthcare Data Analytics Services
Healthcare Analytics Outsourcing
Healthcare Analytics Consulting
Healthcare Analytics Implementation
Compliance Regulations Guaranteed
Healthcare Analytics Outsourcing
A comprehensive healthcare analytics outsourcing package is available to meet each of your specific needs. From selecting the ideal data analytics platform and tech stack to customizing the healthcare data analytics solution, you can rest assured that every aspect of your project will be executed in such a way as to ensure compliance with all industry regulations.
After implementation, we’ll also provide ongoing support and evolution services so that your cloud analytics solution continues to stay up-to-date with your business goals.
Healthcare Analytics Consulting
At Orases, we understand the power of data and its need for effective decisions. That’s why we are here to help you maximize your business potential through the use of analytics. Our team works with you to:
- Assess the current environment and define specific goals related to analytical capabilities.
- Develop an extensive strategy for leveraging data in a meaningful way.
- Map out a roadmap that outlines how these strategies can be put into action.
Healthcare Analytics Implementation
Our data analytics expertise in the area of health care is unparalleled. We strive to provide our clients with a comprehensive approach to their analytics needs, including:
- A deep dive into your current and anticipated medical data analytic requirements.
- The development of a specialized solution unique to your organization’s demands.
- Deployment of a secure and compliant medical data analytics system.
- Creation of streamlined analytics modules that integrate with existing healthcare applications.
Furthermore, we are available for ongoing technical aid for the overall IT infrastructure (as needed).
Compliance Regulations Guaranteed
A needs analysis of the current business and industry is necessary in order to productize a healthcare software concept successfully. Designing such software includes establishing the functional features, architecture, and technology stack that will be used, and generating a successful business case with cost and return-on-investment estimation.
Additionally, guidance through HIPAA, HITECH and FDA regulations must be given for compliance reasons. Furthermore, depending upon the situation development of the said software may be required in addition to post-launch support.
Featured Healthcare Analytics Solutions
Healthcare Data Structuring & Storing
The importance of a carefully designed health data structuring and storing cannot be overstated. Such structures are key to optimally querying and reporting on protected health information (PHI). Additionally, the warehouse must contain integrated storage from sources such as electronic health/medical records, enterprise resource programming systems, human resources management systems, public medical databases, research and development outcomes, etc.
Healthcare Business Intelligence
Businesses in the medical field can benefit from various analytics pursuits. These include operational analytics like staff scheduling optimization, facility maintenance, and claims management. Furthermore, patient analytics such as patient segmentation, patient journey analysis, and treatment plan optimization may help streamline operations. Finally, financial analytics like fraud detection and risk management can help minimize monetary losses.
Healthcare Software, Apps & Portals
The application of large amounts of data in the healthcare sector is a growing trend. Examples include electronic health records, medical devices, patient apps, and portals. Real-time analytics of device information can be used to monitor patients remotely while suggesting tailored care plans. Additionally, warnings can be triggered when there are shifts in a person’s condition requiring attention from a physician.
Predictive Analytics
Predictive analytics can be applied to a variety of healthcare-related scenarios, such as supply chain optimization, disease management, and insurance coverage. Through the leveraging of Machine Learning algorithms, medical professionals can better prepare for potential problems that could arise in terms of patient readmissions, diagnosis validation, or high-value losses. Furthermore, strategies for demand forecasting and supplier risk management can be implemented to facilitate efficient supply chain planning.