Electronic Health Record Quality Control for

Data Characteristics

Raw data for electronic health record (EHR) quality control in pharmacovigilance originates from healthcare institutions' Electronic Medical Record (EMR) or Electronic Health Record (EHR) systems. This data typically includes patient demographics, diagnoses, medication records, lab and imaging results, and adverse event descriptions. Update frequency depends on clinical operations, with data generated in real-time or near real-time after patient visits or adverse event reporting.

Document structure is complex. It contains structured data such as ICD-10 diagnosis codes, generic drug names, dosages, administration routes, and MedDRA adverse reaction codes. It also includes large amounts of unstructured free-text descriptions, like detailed accounts from medical staff regarding adverse event occurrences, symptoms, and signs. Numerous fields involve medical terminology, units of measurement (e.g., milligrams, milliliters, international units), and timestamps. Field definitions and encodings may vary across different healthcare institutions, requiring standardization and mapping.

Constraints on HTTP Interfaces and External Systems

The complexity and diversity of EHR quality control data impose specific requirements on HTTP interface design and external system integration.

First, large data volumes and frequent updates demand high-concurrency processing capabilities and stable data synchronization mechanisms from interfaces. This prevents data loss or delays.

Second, the coexistence of structured and unstructured data requires interfaces to support complex data structures for transmission, such as JSON or XML formats. These formats must nest hierarchical relationships within medical records and efficiently handle the encoding and transmission of free-text fields.

Third, standardizing medical terminology and units of measurement means interfaces need robust data cleansing and transformation modules on the receiving end. This ensures data consistency across different sources.

Finally, sensitive patient information requires interfaces to comply with strict data security and privacy regulations (e.g., HIPAA, GDPR). This mandates HTTPS encrypted transmission and strict authentication and access control mechanisms. Interface timeout settings require adjustment based on data packet size and processing complexity to prevent request failures due to excessive transmission or processing times.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale
`HTTP_REQUEST_TIMEOUT_SECONDS`	`120 seconds`	Allows sufficient response time for large EHR data packets and complex backend processing.
`MAX_PAYLOAD_SIZE_MB`	`20 MB`	Accommodates EHR data transmission needs, including large amounts of free text and image links.
`CONCURRENT_REQUEST_LIMIT`	`Calibrate by actual measurement`	Determine this value after stress testing based on the external EMR system's concurrency and internal processing resources.
`RETRY_ATTEMPTS`	`3 times`	Handles network fluctuations or transient external system failures, improving data transmission success rates.
`AUTH_HEADER_TYPE`	`Bearer Token`	Provides stateless, JWT-based authentication, simplifying external system integration.
`DATA_ENCODING`	`UTF-8`	Ensures correct transmission and parsing of multilingual and special medical characters.

Common Pitfalls

An interface request returns a 504 Gateway Timeout error after 60 seconds. This occurs when server-side processing of complex EHR data exceeds the default gateway timeout setting.
Received adverse event description fields appear garbled. This happens when the Content-Type header of the HTTP request is not correctly set or negotiated, leading to character encoding parsing errors.
Some EHR data is not successfully received, but no obvious errors appear in the logs. This may occur if the external system sends data in batches, and the receiving end does not fully aggregate all batched data.

Verification Steps

Simulate requests by sending typical EHR data packets. Check if the system fully receives and processes them within the expected response time after setting HTTP_REQUEST_TIMEOUT_SECONDS.
Send test data containing special medical characters and multilingual descriptions. Verify that the received free-text content shows no garbling after setting DATA_ENCODING.
Compare the total data volume sent by the external system with the total data received and stored by the internal system. Use data checksums or record counts to confirm data transmission integrity under the MAX_PAYLOAD_SIZE_MB and RETRY_ATTEMPTS settings.

Note: The values provided are common starting points. Measure them against your own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.