1. Case Overview
Zhejiang Nurotron Biotechnology is a benchmark enterprise in the field of high-end cochlear implant medical devices in China, specializing in the R&D and production of neuroelectronic medical equipment with products breaking international monopoly. The entire production process strictly complies with medical device GMP and 21 CFR Part 11 standards. To solve industrial pain points of traditional paper-based batch records such as low filling efficiency, easy tampering, difficult traceability and poor regulatory adaptability, Nurotron cooperated with Hippocrates to launch the electronic batch record (EBR) digital project. Relying on Hippocrates Aotai intelligent platform, it builds a paperless production record system with AI assistance, process locking, full-process error prevention and auditable traceability, realizing digitalized production records, standardized processes and closed-loop compliance, and effectively improving production quality control accuracy and international audit adaptability.
2. Project Background
As an enterprise engaged in high-end implantable medical devices, Nurotron features complex production procedures and stringent process standards, requiring extremely high levels of production data integrity, record authenticity and full-process traceability. Traditional paper-based batch record management has prominent drawbacks: manual filling is time-consuming, error-prone and tamperable with difficult review; unstandardized templates for diverse products and procedures; disconnection between production records, work orders, equipment and processes leading to failure of process locking; lack of complete audit trails and electronic signature systems that cannot meet domestic and overseas drug regulatory compliance requirements. The traditional digital transformation mode of paper records carries high risks and costs, restricting the enterprise’s intelligent manufacturing and compliance upgrading. Therefore, Nurotron urgently needs to build a professional, iterative and highly compliant electronic batch record management system.
3. Solution
Nurotron cooperated with HippocratesHippocrates to deploy the GMP intelligent Electronic Batch Record (EBR) system, building a paperless compliance solution adapted to medical device production based on the Aotai digital platform. The system retains the original standard Word layout without rearrangement and realizes digital implementation in a lightweight and progressive compliance mode. Its core capabilities cover six key links, equipped with AI assistance, full-process error prevention, controlled changes and a complete audit system.
3.1 Core Functional Architecture
The system builds an end-to-end full-process EBR management system covering six modules: template management, field configuration, data entry, process execution, review and release, and archiving traceability. It supports one-click electronic conversion of offline templates, customizable field rules, hierarchical permissions and dynamic verification; implements strict process locking to intercept out-of-order and skip operations; adopts electronic signature and hierarchical review mechanisms to realize full online closed-loop of record filling, review, release and archiving.
3.2 Intelligent Error Prevention & Process Control
The system builds a full-dimensional production error prevention system to avoid human deviations from the source. It supports process locking interception, real-time verification of filling rules, and feeding tolerance access control; links material quality status to prohibit feeding of unqualified and expired materials; realizes linkage management of personnel qualifications, equipment status and instrument data, with automatic data collection of balance, PH and other equipment to eliminate manual transcription errors. It also supports cross-shift record continuation, closed-loop exception handling and attachment evidence retention to ensure compliant and controllable production processes in all aspects.
3.3 AI-assisted Compliance & Phased Implementation
Relying on AI intelligence, the system automatically parses templates, generates input interfaces, provides filling drafts and risk prompts, and only assists operations without replacing manual reviews, fully complying with GMP requirements. It adopts a pre-review controlled change mechanism to accurately analyze change impacts; locks the process of in-production batches without interference from subsequent version changes. It supports phased and progressive compliance verification and on-demand functional implementation, effectively reducing digital transformation costs and compliance risks.
3.4 IoT-linked Paperless Management
Combined with IoT technology, it realizes online management of all elements including personnel, equipment, materials and processes. Through labeling and scanning verification of personnel, equipment and materials, it achieves accurate material traceability, equipment status monitoring and personnel permission control. It optimizes workshop handover and material distribution processes, realizes paperless records in all production scenarios, completely replaces traditional paper accounts, and improves refined workshop management level.
4. Project Value
After project implementation, Nurotron completely eliminates the drawbacks of traditional paper-based batch record management and realizes full-process digital, standardized and auditable management of production records. Through pre-process error prevention, it avoids various human errors and compliance risks in advance and greatly reduces the production deviation rate; AI-assisted operation and automatic data collection significantly improve the efficiency of production record filling, review and archiving. The complete system of audit trails, electronic signatures and data traceability fully meets GMP and 21 CFR Part 11 regulatory requirements, consolidating the data integrity compliance foundation for medical device production. It realizes controllable, traceable and auditable full-process production quality, helping the enterprise deepen its layout in the high-end medical device track and consolidate its benchmark position in industrial intelligent manufacturing.
