Healthcare Lab Test Utilization
This dataset provides detailed, transaction-level records of lab test ordering and utilization across hospitals and clinics, including facility, test, patient, physician, cost, and diagnostic context. It enables comprehensive analysis of test utilization patterns, cost management, and supports clinical decision-making and operational efficiency initiatives.
Sample rows
preview · 8 of 200 rows · all 29 columns| utilization_idstring | test_result_flagstring | test_result_valuefloat | test_duplicate_flagboolean | test_result_unitstring | facility_idstring | facility_namestring | facility_typestring | facility_street_addressstring | facility_citystring | facility_statestring | facility_postal_codestring | facility_countrystring | test_order_idstring | test_codestring | test_namestring | test_categorystring | test_order_datedate | test_completed_datedate | ordering_physician_idstring | ordering_physician_namestring | patient_idstring | patient_ageinteger | patient_genderstring | test_costfloat | test_reimbursed_amountfloat | test_utilization_statusstring | diagnosis_codestring | diagnosis_descriptionstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| UTIL0001 | normal | 98.7 | false | mg/dL | FAC001 | General Hospital | hospital | 123 Main St | Boston | MA | 02118 | USA | TO10001 | LOINC:2345-7 | Glucose, Serum | chemistry | 2023-01-15 | 2023-01-16 | PHY001 | Dr. Sarah Carter | PAT1001 | 32 | female | 28.5 | 27.1 | completed | E11.9 | Type 2 diabetes mellitus without complications |
| UTIL0002 | normal | 13.9 | false | g/dL | FAC002 | Downtown Clinic | clinic | 456 Clinic Ave | Chicago | IL | 60611 | USA | TO10002 | LOINC:718-7 | Hemoglobin | hematology | 2023-01-18 | 2023-01-19 | PHY002 | Dr. Michael Lee | PAT1002 | 26 | male | 18 | 16.5 | completed | Z00.00 | Encounter for general adult medical examination without abnormal findings |
| UTIL0003 | high | 177000 | false | /uL | FAC003 | Suburban Medical Center | hospital | 789 Health Blvd | Phoenix | AZ | 85016 | USA | TO10003 | LOINC:4548-4 | Platelet Count | hematology | 2023-01-20 | 2023-01-21 | PHY003 | Dr. Linda Patel | PAT1003 | 68 | female | 32 | 30 | completed | D64.9 | Anemia, unspecified |
| UTIL0004 | critical | 1 | false | Positive | FAC004 | Express Urgent Care | urgent care | 101 Fast Ln | Dallas | TX | 75201 | USA | TO10004 | LOINC:94531-1 | COVID-19 PCR | microbiology | 2023-01-22 | 2023-01-23 | PHY004 | Dr. James Robinson | PAT1004 | 8 | male | 65 | 40 | completed | U07.1 | COVID-19, virus identified |
| UTIL0005 | high | 220.5 | false | mg/dL | FAC005 | Northern Laboratory | laboratory | 202 Lab Rd | Seattle | WA | 98109 | USA | TO10005 | LOINC:2093-3 | Cholesterol, Total | chemistry | 2023-01-25 | 2023-01-27 | PHY005 | Dr. Emily Nguyen | PAT1005 | 74 | female | 42.5 | 35.6 | completed | E78.0 | Pure hypercholesterolemia |
| UTIL0006 | normal | 27.2 | false | kg/m2 | FAC006 | Sunrise Clinic | clinic | 303 Sunrise Ave | Miami | FL | 33136 | USA | TO10006 | LOINC:39156-5 | Body Mass Index | vital | 2023-01-28 | 2023-01-28 | PHY006 | Dr. Carlos Martinez | PAT1006 | 29 | female | 12 | 10.5 | completed | Z68.1 | Body mass index (BMI) 19.9 or less, adult |
| UTIL0007 | normal | 1.3 | false | mg/dL | FAC007 | Westside Laboratory | laboratory | 404 Lab Pkwy | San Francisco | CA | 94107 | USA | TO10007 | LOINC:1975-2 | Creatinine | chemistry | 2023-01-30 | 2023-01-31 | PHY007 | Dr. Olivia Chen | PAT1007 | 47 | male | 21 | 20 | completed | N18.9 | Chronic kidney disease, unspecified |
| UTIL0008 | low | 10.5 | false | g/dL | FAC008 | Remote Clinic | clinic | blank | Nome | AK | 99762 | USA | TO10008 | LOINC:718-7 | Hemoglobin | hematology | 2023-02-01 | 2023-02-02 | PHY008 | Dr. Henry Davis | PAT1008 | 6 | male | 14.7 | 14.7 | completed | D50.9 | Iron deficiency anemia, unspecified |
| UTIL0009 | high | 8.2 | false | mg/L | FAC009 | CareFirst Urgent Care | urgent care | 505 Care Dr | Houston | TX | 77002 | USA | TO10009 | LOINC:48065-7 | C-reactive Protein | chemistry | 2023-02-04 | 2023-02-05 | PHY009 | Dr. William Scott | PAT1009 | 55 | female | 36 | 32 | completed | R79.1 | Abnormal levels of other serum enzymes |
| UTIL0010 | critical | 100000 | false | CFU/mL | FAC010 | Green Valley Medical | hospital | 606 Valley Rd | Denver | CO | 80218 | USA | TO10010 | LOINC:15074-8 | Urine Culture | microbiology | 2023-02-07 | 2023-02-09 | PHY010 | Dr. Jennifer Kim | PAT1010 | 79 | female | 98 | 60 | completed | N39.0 | Urinary tract infection, site not specified |
| UTIL0011 | normal | 142 | false | mmol/L | FAC001 | General Hospital | hospital | 123 Main St | Boston | MA | 02118 | USA | TO10011 | LOINC:2571-8 | Sodium, Serum | chemistry | 2023-02-10 | 2023-02-10 | PHY011 | Dr. Rebecca Singh | PAT1011 | 41 | female | 16.5 | 15 | completed | E87.1 | Hypo-osmolality and hyponatremia |
| UTIL0012 | low | 6000 | false | /uL | FAC011 | Highland Clinic | clinic | 707 Highland St | Portland | OR | 97209 | USA | TO10012 | LOINC:779-5 | White Blood Cell Count | hematology | 2023-02-12 | 2023-02-13 | PHY012 | Dr. Patrick Turner | PAT1012 | 3 | male | 13 | 13 | completed | D72.819 | Other decreased white blood cell count |
| UTIL0013 | high | 1 | false | Positive | FAC012 | Riverfront Urgent Care | urgent care | 808 River Rd | St. Louis | MO | 63101 | USA | TO10013 | LOINC:6299-2 | Urine Leukocyte Esterase | chemistry | 2023-02-14 | 2023-02-14 | PHY013 | Dr. Steven Young | PAT1013 | 20 | female | 21.8 | 18.6 | completed | N30.00 | Acute cystitis without hematuria |
| UTIL0014 | low | 87 | false | mmol/L | FAC013 | Central Laboratory | laboratory | 909 Central Ave | Atlanta | GA | 30303 | USA | TO10014 | LOINC:2951-2 | Sodium, Urine | chemistry | 2023-02-16 | 2023-02-17 | PHY014 | Dr. Laura Green | PAT1014 | 59 | male | 25.3 | 22 | completed | E87.1 | Hypo-osmolality and hyponatremia |
| UTIL0015 | normal | 195.3 | false | mg/dL | FAC014 | Metro Medical Center | hospital | 111 Metro Dr | New York | NY | 10016 | USA | TO10015 | LOINC:24323-8 | Lipid Panel | chemistry | 2023-02-18 | 2023-02-19 | PHY015 | Dr. Benjamin Clark | PAT1015 | 30 | male | 36.5 | 35 | completed | Z13.220 | Encounter for screening for lipoid disorders |
| UTIL0016 | normal | 24.8 | false | kg/m2 | FAC002 | Downtown Clinic | clinic | 456 Clinic Ave | Chicago | IL | 60611 | USA | TO10016 | LOINC:39156-5 | Body Mass Index | vital | 2023-02-20 | 2023-02-20 | PHY016 | Dr. Angela Brooks | PAT1016 | 27 | female | 12 | 11.5 | completed | Z68.1 | Body mass index (BMI) 19.9 or less, adult |
| UTIL0017 | low | 133000 | false | /uL | FAC015 | Pinecrest Clinic | clinic | 222 Pinecrest Rd | Minneapolis | MN | 55401 | USA | TO10017 | LOINC:4548-4 | Platelet Count | hematology | 2023-02-22 | 2023-02-23 | PHY017 | Dr. Eric Sanders | PAT1017 | 4 | female | 15 | 15 | completed | D69.6 | Thrombocytopenia, unspecified |
| UTIL0018 | high | 2.4 | false | mg/dL | FAC016 | Lakeside Laboratory | laboratory | 333 Lake St | Madison | WI | 53703 | USA | TO10018 | LOINC:1975-2 | Creatinine | chemistry | 2023-02-24 | 2023-02-25 | PHY018 | Dr. Heather Evans | PAT1018 | 65 | male | 22 | 18.3 | completed | N18.3 | Chronic kidney disease, stage 3 (moderate) |
| UTIL0019 | normal | 0 | false | Negative | FAC017 | Southside Medical | hospital | 444 Southside Dr | Los Angeles | CA | 90017 | USA | TO10019 | LOINC:94531-1 | COVID-19 PCR | microbiology | 2023-02-26 | 2023-02-28 | PHY019 | Dr. Ethan Price | PAT1019 | 53 | female | 62 | 55 | completed | Z11.59 | Encounter for screening for other viral diseases |
| UTIL0020 | high | 212.7 | false | mg/dL | FAC018 | CarePoint Laboratory | laboratory | 555 CarePoint Ave | San Diego | CA | 92101 | USA | TO10020 | LOINC:24323-8 | Lipid Panel | chemistry | 2023-03-01 | 2023-03-02 | PHY020 | Dr. Maria Torres | PAT1020 | 51 | male | 39 | 30.9 | completed | E78.5 | Hyperlipidemia, unspecified |
What the 200 rows show
from the 200-row sampleCritical (test result flag) stands out: 5 of its 17 rows have test_
- 3%test_
duplicate_ flag = true - 28.8median test_
result_ value - 2facility countries
- 3test utilization statuses
- 4test categories
- 4patient genders
Median 28.8, from 0.0 to 203,000.
- string 22
- integer 1
- float 3
- date 2
- boolean 1
Columns
29 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 22 columns | |||
utilization_id | string | Unique identifier for each lab test utilization recordunique | UTIL0001 |
facility_id | string | Unique identifier for the hospital or clinic where the lab test was ordered | FAC001 |
facility_name | string | Name of the hospital or clinic | General Hospital |
facility_type | string | Type of healthcare facility (e.g., hospital, clinic, urgent care)hospital · clinic · urgent care · laboratory · other | hospital |
facility_street_address | string | Street address of the facilityoptional | 123 Main St |
facility_city | string | City where the facility is locatedoptional | Boston |
facility_state | string | State or region where the facility is locatedoptional | MA |
facility_postal_code | string | Postal code of the facility locationoptional | 02118 |
facility_country | string | Country where the facility is located2 countries · optional | USA |
test_order_id | string | Unique identifier for the specific lab test order | TO10001 |
test_code | string | Standardized code for the lab test (e.g., LOINC, CPT) | LOINC:2345-7 |
test_name | string | Name of the lab test | Glucose, Serum |
test_category | string | Category of the lab test (e.g., hematology, chemistry, microbiology)4 categories | chemistry |
ordering_physician_id | string | Unique identifier for the physician who ordered the testoptional | PHY001 |
ordering_physician_name | string | Name of the physician who ordered the testoptional | Dr. Sarah Carter |
patient_id | string | Unique identifier for the patient for whom the test was orderedoptional | PAT1001 |
patient_gender | string | Gender of the patientmale · female · other · unknown · optional | female |
test_result_unit | string | Unit of measurement for the test result valueoptional | mg/dL |
test_result_flag | string | Indicator for abnormal results (e.g., normal, high, low, critical)normal · high · low · critical · unknown · optional | normal |
test_utilization_status | string | Status of test utilization (e.g., ordered, completed, cancelled, duplicate)ordered · completed · cancelled · duplicate · pending | completed |
diagnosis_code | string | Primary diagnosis code associated with the test order (e.g., ICD-10)optional | E11.9 |
diagnosis_description | string | Description of the diagnosis associated with the test orderoptional | Anemia, unspecified |
| Numbers 4 columns | |||
patient_age | integer | Age of the patient at the time of test order0 to 120 · optional | 32 |
test_result_value | float | Numeric value of the lab test result (if applicable)optional | 98.7 |
test_cost | float | Cost incurred for the lab test0 or more · optional | 28.5 |
test_reimbursed_amount | float | Amount reimbursed for the lab test (if applicable)0 or more · optional | 27.1 |
| Dates and times 2 columns | |||
test_order_date | date | Date the lab test was ordered | 2023-01-15 |
test_completed_date | date | Date the lab test was completedoptional | 2023-01-16 |
| True or false 1 column | |||
test_duplicate_flag | boolean | Indicates whether the test order is a duplicateoptional | false |
Use it for
A healthcare dashboard
The test_
duplicate_ flag rate, test_ result_ value by test_ result_ flag and a breakdown of test_ result_ unit. Excel, Power BI or Tableau. Why do 5 of 200 rows have test_
duplicate_ flag = true? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Utilizations200UTIL000198.7normalUTIL0047230.9criticalUTIL00501critical
A software demo
Believable utilizations with facility_
id, facility_ name and facility_ type to fill a screen in front of a buyer.
blueprint · healthcare-lab-test-utilization
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 29 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
- Track test frequency per department
- Segment by test type
- Flag under-utilized tests
- Include average turnaround time
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- healthcare-lab-test-utilization