Diagonstic Order Filler
Diagonstic Order Filler
Introduction
The Diagnostic_Order_Filler data model is a crucial component of healthcare information systems, designed to capture and manage diagnostic orders filled by diagnostic service providers or entities. It focuses on the OBR (Observation Request) and PV1 (Patient Visit) segments of HL7 messages, providing comprehensive information about diagnostic order fulfilment. This model plays a critical role in ensuring that ordered diagnostic tests are executed accurately, results are reported efficiently, and patient care is optimized.
Use Case
Developers can harness the capabilities of the Diagnostic Order Filler data model for various technical use cases, facilitating the effective handling of diagnostic order fulfillment within healthcare systems:
- Order Fulfillment: Developers can use this model to query filler IDs, order numbers, and batch IDs, allowing them to efficiently fulfill diagnostic orders. This ensures that the right tests are conducted and results are reported promptly.
- Order Status Monitoring: Healthcare systems often require real-time monitoring of diagnostic order fulfillment. Developers can query filler IDs, visit numbers, and batch IDs to track the status of orders, ensuring timely reporting of results.
- Quality Assurance: Developers can use this model to monitor and ensure the quality and accuracy of diagnostic order fulfillment. By querying filler IDs and order numbers, they can verify that tests are conducted correctly and results are reliable.
- Result Reporting: Developers can extract information such as patient IDs and encounter IDs to support the reporting of diagnostic test results. This enables timely communication of critical information to healthcare providers and patients.
- Integration with Diagnostic Devices: In laboratory and diagnostic settings, developers can integrate diagnostic devices with the model, allowing automated data exchange between devices and the healthcare system. This streamlines the testing process.
- Data Enrichment: Developers can combine diagnostic order fulfillment data with other healthcare data models, such as patient and provider data, to create comprehensive patient profiles. This enriched data supports better-informed clinical decisions.
- Billing and Claims Processing: Developers can extract order-related information, such as patient IDs and encounter IDs, to support billing and claims processing systems. This ensures accurate and timely reimbursement for diagnostic services.
- Compliance and Auditing: Developers can use this model to support compliance with healthcare regulations by querying order fulfillment data for auditing and reporting purposes. This aids in maintaining regulatory compliance.
- Telemedicine and Remote Services: In telemedicine and remote healthcare scenarios, developers can use this model to facilitate remote diagnostic order fulfillment, ensuring seamless communication between patients, providers, and diagnostic service entities.
- Research and Analytics: Researchers can access diagnostic order fulfillment data for research and analytics purposes through APIs and data interfaces provided by this model. This data can drive insights into healthcare trends, diagnostic accuracy, and treatment effectiveness.
Data Fields
| Attribute Name | Description | HL7 Mapping | Data Type | Label | Use Case |
|---|---|---|---|---|---|
| lineage | This is lineage attribute | Fixed - HL7 | string | Lineage | "lineage" refers to the information about the origin or source of a message. It helps trace the path of the message, indicating where it originated, how it was transmitted, and any intermediate systems or components it passed through before reaching its destination. |
| encounter_id | Encounter ID | PV1+MSH-10 | string | Encounter ID | This unique identifier is used to associate various HL7 messages with a specific patient encounter or visit. It ensures that data and events are accurately linked to the correct patient's healthcare journey. |
| batch_id | Batch id | System Generated | string | Batch ID | "batch ID" is a unique identifier assigned to a group of messages that are logically grouped together for processing or transmission. Batching messages is a common practice in healthcare systems to efficiently manage and transmit multiple messages as a single unit |
| filler_field_1 | Filler Field 1 | OBR-20 | string | Filler Field 1 | This field can include information such as the laboratory's unique identifier, location code, or other facility-specific details. |
| filler_supplemental_service_information | Filler Supplemental Service Information | OBR-47 | string | Filler Supplemental Service Information | This field can include supplementary information that provides further clarification or instructions related to the test or observation. This information can be specific to the service being requested. |
| alternate_visit_id | Alternative visit id | PV1-50/PID-18 | string | Alternate Visit Id | This field provides an alternate identifier for a patient's visit. It is used for tracking and cross-referencing patient visits and records, especially in scenarios requiring multiple identifiers or references. This field is recorded during patient registration and aids in accurate record linkage. |
| bundle_id | ID of bundle | MSH-10 | string | Bundle ID | “bundle ID" typically refers to a unique identifier assigned to a group or bundle of related messages or data elements. This identifier is used to associate multiple messages or pieces of information that are related to a specific patient, event, or transaction. |
| diagnostics_id | This is diagnostics_id attribute | ORC+MSH-10, SCH+MSH-10 | string | Diagnostics ID | This field often contains a code or identifier that uniquely represents the diagnostic test or procedure being requested. This code can be used to identify the test. |
| xc_visit_id | XC visit id | Based on alternate_visit_id followed by visit_number followed by system generated ID | string | XC visit id | The "xc_visit_id" is a unique identifier used to group together all the interactions, procedures, tests, and check-ups associated with a single patient visit in a healthcare setting. This identifier helps in organising and managing various activities and data related to that specific patient encounter. |
| visit_number | Id of the visit | PV1-19-1 | string | Visit Number | The visit number serves as a unique identifier for a specific patient visit or encounter within a healthcare facility. It distinguishes one visit from another. |
| patient_id | Id of the patient | PID-3-1 | string | Patient ID | The patient ID is a unique identifier assigned to a patient within the healthcare system. It is used to accurately identify and link a patient's medical records, treatments, and history. |
| filler_order_number | Filler Order Number | OBR-3, SCH-27, ORC-3 | string | Filler Order Number | This field is used to uniquely identify the observation request. It is assigned by the system that is responsible for filling the order (e.g., a laboratory or facility). This identifier helps track and manage the request, ensuring that the correct observations are performed and reported. |
| filler_id | This is filler_id attribute | System Generated | string | Filler ID | This field is an identifier associated with a specific order, observation, or event. It is typically assigned by the system that is responsible for managing and processing the order. This identifier is used for tracking and managing orders and results within the healthcare system. |
| filler_field_2 | Filler Field 2 | OBR-21 | string | Filler Field 2 | This field can include supplementary information, comments, or notes that provide further context or instructions related to the test or observation being requested. It allows healthcare providers to convey specific details to the laboratory or facility. |