ShareMind
AI Platform for Health
ShareMind is an advanced platform allowing researchers to analyze data using machine learning models without directly accessing sensitive healthcare data. Institutions managing critical data, such as the Ministry of Health, can enable researchers to conduct data analysis and scientific studies through this platform without sharing their data. In this way, the security and privacy of their sensitive data is protected.
Benefits and Innovations
ShareMind provides a platform for performing data analysis directly, eliminating the need for data sharing, ensuring top-level security, and facilitating the scientific research process involving sensitive health data. By offering solutions to obtain clean and verified data, it overcomes the challenges of working with large volumes of health data. While preserving the security and privacy of patient data, it enhances the efficiency of data analysis and scientific research processes.
Benefits
- Reduce the Barriers to Working with Big Data
- Time-Saving for Researchers
- Scalability of Data Usage
- Preserves Sensitive Data
- Defined Machine Learning Methods
- Bridge for Academic Collaboration
- Accelerate and Support Scientific Studies
- Drive Forward Scientific Insights
- Contribution to Improving Public Health
- Analysis Directly from a Platform Without Data Sharing
Innovations
- Secure Research Without Data Sharing
- Direct Analysis Access
- Data Access Management
- Clean, Validated Data
- Anonymized Data for Research
Safe Data, Scientific Research:
ShareMind – AI Platform for Health
ShareMind is an AI platform that transforms the future of data analysis and health research by enabling secure data analysis with predefined machine learning models, without accessing sensitive health data.
Features
Scientific Studies
Through its advanced analytics and machine learning capabilities, ShareMind is critical in developing impactful healthcare solutions that can transform patient care and public health outcomes. By facilitating the analysis of complex datasets, the platform enables researchers to uncover insights that can lead to the development of more effective diagnostic tools, personalized treatment plans, and innovative healthcare services, mainly paving the way for scientific studies in health.
Secure Data Analysis
ShareMind shapes healthcare research by facilitating the analysis of sensitive health data without directly sharing it, ensuring utmost privacy and security. This secure platform allows researchers to analyze comprehensive datasets securely, maintaining patient confidentiality and compliance with global data protection regulations, thus fostering trust and integrity in healthcare research.
Predefined Machine Learning Methods
ShareMind significantly reduces the time and effort required for researchers by providing predefined machine-learning methods for analysis. These methods serve as a robust foundation, enabling researchers to either utilize defined machine learning methods for research tasks or customize them for novel inquiries, accelerating the pace of healthcare discoveries and innovation.
Data Security and Authorization
In healthcare research, where data sensitivity is essential, ShareMind provides a security framework with robust authorization mechanisms. This framework ensures that access to data is strictly controlled and granted only based on the relevance to the research topic and the credentials of the requester, thereby safeguarding the confidentiality and integrity of the data.
Advanced User Rights Management
The User Rights Management feature enables precise controls over access rights, allowing for the specification of what data sets and system modules different users can access. It utilizes formal access control rules to determine the level of access for authenticated users, ensuring secure resource management. Additionally, access rights are tailored based on user roles, enabling personalized management and viewing capabilities across various modules and screens within the application.
Big Data Usage
ShareMind tackles a critical hurdle in health research: the access and use of vast data sets. Its integration with national health systems facilitates the exploitation of comprehensive health data for scientific research purposes, unlocking new possibilities for advancements in the field.
Data Preparation and ETL
Addressing the most critical processes of data science: the accessibility and cleanliness of data, ShareMind offers tools for data management and ETL. These tools streamline the process of cleaning, validating and organizing data, significantly reducing the time researchers spend on data preparation and enabling them to dedicate more resources to data analysis and model development activities.
Collaborative Research Environment
ShareMind is not just a platform; it's a global ecosystem that encourages collaboration among researchers from various disciplines and regions. This collaborative environment enhances the collective expertise of the worldwide research community, fostering the exchange of ideas, methodologies and findings, accelerating the development of innovative solutions to healthcare challenges.
Scalable Infrastructure
Designed to meet the demands of an ever-growing user base, ShareMind's infrastructure boasts automatic scalability features. This ensures that as more researchers and institutions join the platform, the system seamlessly adapts, providing consistent performance and reliability, eliminating potential bottlenecks and ensuring that technical limitations never hinder innovation.
FaaS - Function as a Service
ShareMind, designed as a Function as a Service (FaaS) platform, excels in environments that demand versatility. It offers full functionality in both on-premise and cloud settings. This capability ensures that businesses can enhance the power of cloud-native scalability and the control of on-premise infrastructure, seamlessly integrating with existing workflows to optimize operational efficiency and innovation.
Ease of Use
Recognizing the complexity of data analysis tools and their steep learning curve, ShareMind has been designed to offer an intuitive user interface and simplified workflows. This design philosophy lowers the barrier to research for researchers, enabling them to focus more on their analytical work rather than navigating complex software, thus accessing advanced data analysis.
Benefits for Patients
Access to Effective and Quality Healthcare
Scientific advances support more effective healthcare by reducing the difficulties patients face and improving healthcare quality.
Protection of Personal Health Data
Secure data handling processes safeguard data against unauthorized access and ensure patient data security and privacy.
Access to
Innovative Treatments
By accelerating healthcare research, ShareMind contributes to developing new and innovative patient treatments.
Data-Driven Better Clinical Decisions
Secure analysis of health data provides patients with more effective treatment plans.
Benefits for Researchers and Health Professionals
Streamlined
Data Usage
Researchers and healthcare professionals can easily access and analyze vast amounts of health data, improving research efficiency.
Collaborative
Research Opportunities
ShareMind facilitates collaboration across institutions and disciplines, enabling more professionals to engage in research.
Enhanced
Patient Care
The platform helps healthcare professionals diagnose and treat diseases more effectively through scientific research.
Saving Time and
Resources
The time and effort spent on accessing health data and scientific research procedures is reduced.
Benefits for Healthcare Systems, Providers and Authorities
Data-Driven
Policy Making
Health data and machine learning models support more informed decision-making and policy development.
Improved
Healthcare Systems
Authorities can identify inefficiencies within the healthcare system, enabling resource optimization and cost reduction.
Enhanced
Public Health Management
The platform allows for monitoring health trends, improving public health response and management.
Strategic Healthcare Service Planning
Scientific studies and analyses conducted with secure data make strategic healthcare service planning more effective and accurate.