HTTP Interface and External Systems for Nursing Management

Data Characteristics in Nursing Management

Nursing management data centers on individualized patient care plans, execution records, and outcome evaluations. Data originates from diverse sources: Electronic Medical Record (EMR) systems, vital sign monitoring devices, physician order systems, and nurse entries via mobile terminals for patient status and interventions. Data updates frequently; vital signs might update hourly, while medication records and nursing operation logs generate in real-time. Document structures typically include structured data (e.g., patient ID, bed number, diagnosis, medication dosage, care type codes) and extensive unstructured text (e.g., nurse assessment notes, patient feedback, nursing observation logs). Field units involve measurement units (e.g., mg, ml, mmHg, ℃), time units (h, min), and status descriptions (e.g., "awake," "drowsy"). This data collectively paints a dynamic health picture of a patient during a specific care cycle.

Constraints Imposed by These Characteristics on HTTP Interfaces and External Systems

The diversity and high update frequency of nursing management data impose specific requirements on HTTP interface design. Structured data requires efficient field mapping and type conversion to ensure data consistency. Unstructured text data, especially nursing observation logs, varies in length and contains extensive specialized terminology. Interfaces must support large text transfers. Upstream processing needs to consider text embedding and semantic understanding. Real-time requirements dictate that interface designs support high concurrency and low-latency responses. For instance, patient vital sign abnormality alerts or urgent physician orders require data transmission delays to be in the millisecond range. Standardization of field units is crucial; different systems might use varying abbreviations or expressions. The interface layer must unify these conversions to prevent data confusion. Furthermore, given data sensitivity, robust authentication and authorization mechanisms (Authorization header, API Key) are essential for compliant data transmission.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale
`requestTimeout`	`60000 ms`	Accommodates potential delays from unstructured text transfer and large-volume data synchronization.
`maxConnections`	`100`	Supports real-time data updates and queries in high-concurrency scenarios, such as multiple nurses entering data simultaneously.
`payloadSizeLimit`	`50 MB`	Handles request body sizes that include large nursing logs, images, and other unstructured data.
`retryAttempts`	`3`	Enhances data transmission reliability, addressing transient network fluctuations or brief external system unavailability.
`authTokenRefreshInterval`	`3600 seconds`	Balances security with ease of interface calls, reducing frequent authentication overhead.

Three Common Pitfalls

Symptom: Nursing log text received by the external system appears truncated or garbled. Reason: The interface did not correctly set Content-Type to application/json; charset=UTF-8 or failed to properly encode large text fields.
Symptom: After vital sign data updates, the model's response in FastGPT still relies on old data. Reason: The external system's data synchronization interface triggers too infrequently, or FastGPT's internal caching strategy does not invalidate in a timely manner.
Symptom: Calling an external system API returns an HTTP 401 Unauthorized error. Reason: The API Key or Bearer Token configuration is incorrect, or its validity period has expired and was not refreshed promptly.

Verification Steps

Simulate high-concurrency requests. Observe the HTTP interface's response time and success rate to ensure stable operation under peak load.
Cross-reference FastGPT's model query results. Verify that it accurately references the latest synchronized nursing plans, medication records, and other critical information.
Examine external system logs and FastGPT's interface call logs. Confirm that the request body size, response status code, and transmission duration for data transfers meet expectations.

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.