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EHR Patient Journey and Diagnostic Outcome Data
Healthcare Providers & Services Utilization
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About
Electronic health records provide a vital framework for understanding patient flow and clinical outcomes within a hospital environment. By capturing a thorough range of patient demographics alongside specific hospital stay details, the data allows for an in-depth exploration of healthcare delivery. It documents the journey from admission to discharge, tracking specific variables such as disease diagnosis, ward assignments, and physical measurements like height and weight. This resource is essential for identifying patterns in hospital admissions, assessing the duration of stays, and evaluating patient discharge statuses across various medical units.
Columns
- patientunitstayid: A unique numerical identifier for a patient's stay within a specific hospital unit.
- patienthealthsystemstayid: A unique identifier for the patient’s overall stay within the wider healthcare system.
- gender: The gender of the patient, categorised as Male, Female, or Unknown.
- age: The age of the patient at the time of hospital admission.
- ethnicity: The ethnic background of the patient, with categories including Caucasian and African American.
- hospitalid: A unique identification number assigned to each individual hospital facility.
- wardid: The specific identifier for the ward where the patient received treatment.
- apacheadmissiondx: The primary disease or condition diagnosed at the point of admission, such as pulmonary sepsis.
- admissionheight: The recorded height of the patient upon entering the facility.
- hospitaladmittime24: The timestamp of hospital admission, recorded using a 24-hour clock.
- hospitaladmitsource: The department or medical source from which the patient was admitted.
- hospitaldischargeyear: The specific calendar year the patient was discharged from the hospital.
- hospitaldischargetime24: The recorded time of the patient's discharge from the hospital.
- hospitaldischargelocation: The destination for the patient following discharge, such as home, death, or transfer to another hospital.
- hospitaldischargestatus: The survival status of the patient at the time of discharge, recorded as Alive or Expired.
- unittype: The classification of the hospital unit where the patient was treated.
- unitadmittime24: The time the patient was admitted into the specific hospital unit.
- unitadmitsource: The department source responsible for the unit-level admission.
- unitvisitnumber: The total count of visits recorded for the patient.
- unitstaytype: The type of unit stay, distinguishing between initial admissions and readmissions.
- admissionweight: The recorded weight of the patient at the time of unit admission.
- dischargeweight: The recorded weight of the patient at the time of unit discharge.
- unitdischargetime24: The timestamp of the patient's discharge from the unit.
- unitdischargelocation: The specific location to which the patient was discharged after their unit stay.
- unitdischargestatus: The survival status of the patient upon leaving the hospital unit.
Distribution
The information is delivered in a CSV file titled
EHR.csv with a file size of 342.07 kB. It consists of 1,447 valid records across 29 columns, maintaining high integrity with 100% validity for most primary identifiers and demographic fields. The resource is designed for monthly updates to reflect ongoing clinical data trends and carries a top-tier usability score of 10.00.Usage
This resource is ideal for developing healthcare dashboards that monitor patient volumes, average duration of stays, and common disease conditions. Analysts can use the data to perform correlation studies between patient demographics and clinical outcomes or to investigate the efficiency of different hospital wards. It also serves as a robust baseline for predictive modelling regarding hospital discharge locations and unit-level resource requirements.
Coverage
The scope is centred on hospital environments, capturing a diverse patient demographic that includes a majority of Caucasian (79%) and African American (11%) individuals. The data accounts for various age groups, including a significant percentage of patients over 89 years old. Temporally, while specific dates are not provided, the records are structured to reflect 24-hour cycles of admission and discharge activity within the health system.
License
CC0: Public Domain
Who Can Use It
Hospital administrators can leverage these figures to assess ward efficiency and patient turnover rates. Medical researchers may utilise the records to study the prevalence of specific diagnoses across different ethnic groups and ages. Additionally, data scientists can use the structured health records to refine their skills in clinical data cleaning, exploratory analysis, and healthcare-focused visualisations.
Dataset Name Suggestions
- Electronic Health Record Patient Demographics and Hospital Admissions
- Hospital Unit Stay and Clinical Pathway Registry
- EHR Patient Journey and Diagnostic Outcome Data
- Clinical Admission, Ward Detail, and Demographic Archive
- Hospital Discharge Status and Unit Stay Analysis Set
Attributes
Original Data Source: EHR Patient Journey and Diagnostic Outcome Data
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