The data base is subject to audit, based on clinical foundation models, real world studies, pathological reconstruction and medical data management.
From single medical access to a traceable patient-level event sequence
Targeted long-term trend smoothing and capture at key clinical nodes; patients are required to meet the continuous acceptance requirements of hospitalization, outpatient and clinical spacing, according to the criteria of need.
Focused event sequence density and clinical business closed loops are suitable for project selection by disease, queue, observation window and task label.
(c) Covering critical recording areas such as emergency door care, hospitalization, medical procedures, surgery, examination, medication and non-pharmacological medical advice, and supporting data dictionary level verification.
The first check-up, frequency of admissions, frequency of visits and completeness of key forms is done by the acceptance programme.
Continuous records of research organizations such as pathologies, clinical event predictions, real world queue analysis; field or form overlay configurations with clear mass marks are allowed.
Provides a qualitative control calibration of the linkage keys, time sequence, range, text integrity and closed loops of clinical events, supporting the dictionaries of data by project, quality reports and list of issues.
All fields, forms and availability by specific batch data dictionary, data source licences and acceptance confirmation of projects
| データ域 | Typical records and key relationships | Data-oriented work |
|---|---|---|
| Index of patients and clients | (c) To mark patient code, clinic number, type of visit, time, agency or section to mark information. | Patient-level vertical cascades, queue definition, time window construction and data blood testing. |
| Emergency door medical records | The main complaint, current medical history, past history, medical examination, diagnosis, examination and treatment programme. | (c) Disease signs, form extraction, the structuring of clinical texts and clinical trajectories. |
| Hospitalization and procedure | (c) The home page, admission records, first medical procedure, routine/supervised check-ups, transfer, discussion, discharge or death records. | Re-establishment of hospitalization, incident sequence modelling, complex pathology and clinical process analysis. |
| Checking for tests and surgical incidents | Records of examinations of images, pathology, ultrasound, CT, MRI etc., laboratory results, surgical operations and information on anaesthesia. | Multi-sourced clinical evidence aggregation, event sequence verification and research variable construction. |
| Medicines and non-pharmaceuticals | Name, dose, unit, frequency, type of medical advice, opening and termination time, as well as examination, examination, disposal, treatment and surgical advice. | Treatment path analysis, medical advice, exposure window construction and business integrity check. |
Common definition of availability by completeness, accuracy, business closed circle and auditability
Check the uniqueness of the patient ' s attendance signs, the connection of the primary external key, the type of visit, the section and the standard time fields, avoiding isolated events or misspelled.
Identification of the principal complaint, current history, past history, medical examination, abnormal cut-off of hospital records and the body of the medical procedure, mixed fields and non-publicized dictionary values.
Check the logic of admission, surgery, examination of sampling and reporting, medical advice opening and termination time, and verify age, diagnosis and field values.
For transfer, surgery and complex pathology, the relevant procedure, pre-operative/post-operative, consultation, discussion or other associated record support is verified.
Combining the system rules with manual sampling to verify output coverage, missing, abnormal, downgraded or disallowed recommendations; quality slotting and receiving and inspection thresholds are implemented by project programme.
Data preparation, validation and research support are the main ones that do not replace clinical judgement
Data preparation for time-sensitive representations, long context modelling, event prediction and model assessment.
Supports the definition of observation windows, index events, treatment of exposures, outcome events and continuous follow-up structures.
Rules designed, sample review and batch assessment for correlation, time, text, domain and clinical process closed loops.
Supporting data dictionary, field mapping, task stratification and project-based retrospective data governance processes.
Identification of research issues, target population, observation windows, data domains, de-marking requirements, quality slotting and delivery boundaries with data experts, and access to data catalogues and acceptance recommendations for appropriate missions.