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Construction of data assetization system for pharmaceutical industry
The construction of data assetization system in the pharmaceutical industry, through the integration of product-oriented thinking and the application of asset-oriented thinking, creates a value closed loop that integrates data product launches, data resources into the table, and data asset financing.
Edited at 2024-11-16 08:17:15Construction of data assetization system for pharmaceutical industry
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- Outline
Capitalizing data in the pharmaceutical industry
Data strategic direction
Data resourceization---》Resource productization--》Product assetization
Data product launch---》Data resources are included in the table---》Data asset financing
Integrated value closed loop
Integration of product thinking
1. Data collection and compliance
Legal support (resolved)
Ensure compliance
Comply with the "Data Security Law of the People's Republic of China", "Personal Information Protection Law of the People's Republic of China" and other relevant laws and regulations to ensure the legality of data collection, processing and sharing.
patient agrees
Data classification
Sensitive data and non-sensitive data
2. data governance
Establish a data governance framework
Ensure data quality, security, and privacy
Data cleaning
Remove duplicate, incomplete, and erroneous data
Ensure data accuracy
Data encryption
Encrypt sensitive data
Keep your data safe
3. Data integration analysis
Build a data warehouse
Consolidate data from disparate sources and formats into a central data warehouse
data mining
Use statistics, machine learning and other methods to extract valuable information from data
Real-time analysis and reporting
Develop real-time data analysis systems to support hospital management and clinical decision-making
Technology support (resolved)
Asset thinking application
Data application
clinical research
Support clinical research
Promote new drug research and development
Treatment innovation
public health surveillance
Monitor disease trends
Provide a basis for public health decision-making
personalized medicine
Provide personalized treatment recommendations based on patient data
Natural language processing and computer vision technology, Integrate unstructured medical text data and medical imaging data
Smart hospital, future hospital
Data sharing and cooperation
Build a partnership
Pharmaceutical companies
research institute
Jointly develop data assets
Data sharing platform
Promote the rational use of data resources
Business model exploration
Data services
Provide data services to pharmaceutical companies
market analysis
patient insights
…
value-added services
Develop data-based value-added services
disease prediction model
health management
…
Continuous optimization
feedback mechanism
Establish a feedback mechanism for data usage and continuously optimize data assets
Technical updates
Track the development of data science and information technology, and continuously update data processing and analysis technology
Hospital data---conversion--valuable assets
Case
Shanghai Tongren Hospital
The hospital has established a hospital-wide medical equipment data sharing and management platform based on multi-modal data collection. This platform uses multi-modal data collection methods to collect information on medical equipment data, realizing cross-platform and cross-department medical equipment data interconnection. It not only breaks through the technical barriers of different brands, but also realizes the traceability of medical equipment information, greatly improving clinical work efficiency and hospital refined management level
The First Affiliated Hospital of Zhengzhou University
An integrated scientific research and management platform for digital intelligent application of medical imaging based on big data and artificial intelligence realizes the unified management of AI systems in multiple hospitals and improves the operating efficiency of business systems, and builds multi-modal disease-specific data that integrates text and image data. platform to enhance scientific research and innovation capabilities
Shanghai Tongji Hospital
This hospital has built a hospital-wide integrated scientific research platform and specialized disease database. By integrating hospital clinical record data, the platform provides clinical research data collection and analysis services for the hospital's key specialties. This project not only integrates and manages structured and unstructured data, but also provides services for the scientific research needs of different clinicians, promoting the application of medical big data in clinical research.
Capital Medical University Xuanwu Hospital
Xuanwu Hospital has implemented a full life cycle management project of medical data based on the data center. This project established data governance standards by strengthening data governance and big data mining construction, and promoted the collaboration of medical business and data management among multiple hospital districts. In addition, the project has contributed to the high-quality development of the hospital by building AI applications in clinical, scientific research, operations and other fields.