Healthcare
22 columns
110 rows
8 formats

Physician Orders and CPOE Data

This dataset provides a detailed record of physician orders entered through computerized physician order entry (CPOE) systems, including medications, labs, imaging, consults, nursing orders, and order sets. It captures clinical workflow, decision support triggers, and user actions, enabling robust analysis of ordering patterns, workflow efficiency, and clinical decision support effectiveness. Ideal for healthcare quality improvement, clinical analytics, and workflow optimization.

last updated 2 Nov 2025
by GoMask

The brief that made it

Clinical workflow and process optimization

Sample rows

preview · 8 of 110 rows · all 22 columns

order_idstring	medication_routestring	decision_support_triggeredboolean	imaging_typestring	patient_idstring	physician_idstring	order_typestring	order_statusstring	order_datetimedatetime	order_set_idstring	medication_namestring	medication_dosestring	lab_test_namestring	consult_servicestring	nursing_order_detailstring	decision_support_alert_typestring	decision_support_action_takenstring	order_prioritystring	order_commentsstring	entered_by_user_idstring	entered_by_rolestring	order_completed_datetimedatetime
ORD00001	oral	true	blank	PAT00001	PHY10001	medication	completed	2024-05-30T09:14:00	SET0001	Metoprolol	50mg	blank	blank	blank	max_dose_alert	order_modified	routine	Dose adjusted due to alert.	PHY10001	physician	2024-05-30T14:18:00
ORD00002	blank	false	blank	PAT00002	PHY10002	lab	pending	2024-06-05T10:20:00	blank	blank	blank	CBC	blank	blank	blank	blank	stat	CBC ordered for fever.	NUR90001	nurse	blank
ORD00003	blank	false	CT	PAT00003	PHY10003	imaging	completed	2024-06-01T12:45:00	blank	blank	blank	blank	blank	blank	blank	blank	routine	CT scan for abdominal pain.	PHY10003	physician	2024-06-01T16:30:00
ORD00004	blank	false	blank	PAT00004	PHY10001	consult	pending	2024-05-28T13:05:00	blank	blank	blank	blank	cardiology	blank	blank	blank	urgent	Consult for chest pain.	ADM11001	other	blank
ORD00005	blank	true	blank	PAT00005	PHY10004	nursing	completed	2024-05-29T11:30:00	blank	blank	blank	blank	blank	wound care	wound_protocol_alert	order_modified	routine	Protocol applied.	NUR90002	nurse	2024-05-29T15:00:00
ORD00006	oral	true	blank	PAT00006	PHY10005	medication	cancelled	2023-11-15T09:00:00	blank	Warfarin	2mg	blank	blank	blank	drug_interaction_alert	order_cancelled	routine	Order cancelled due to interaction.	PHY10005	physician	blank
ORD00007	blank	false	blank	PAT00007	PHY10006	order_set	completed	2024-05-31T08:00:00	SET0002	blank	blank	blank	blank	blank	blank	blank	routine	Admission order set.	ADM11002	other	2024-05-31T10:00:00
ORD00008	subcutaneous	false	blank	PAT00008	PHY10007	medication	in-progress	2024-06-06T14:10:00	blank	Insulin	10 units	blank	blank	blank	blank	blank	stat	Insulin for hyperglycemia.	PHR80001	pharmacist	blank
ORD00009	blank	true	blank	PAT00009	PHY10002	lab	completed	2024-05-27T07:45:00	blank	blank	blank	CMP	blank	blank	duplicate_order_alert	no_action	routine	Completed. No duplicate found.	NUR90003	nurse	2024-05-27T11:00:00
ORD00010	blank	false	MRI	PAT00010	PHY10003	imaging	in-progress	2024-06-07T15:00:00	blank	blank	blank	blank	blank	blank	blank	blank	stat	MRI for neuro symptoms.	PHY10003	physician	blank
ORD00011	blank	false	blank	PAT00011	PHY10008	nursing	pending	2024-05-30T16:40:00	blank	blank	blank	blank	blank	IV placement	blank	blank	stat	Start IV prior to imaging.	NUR90004	nurse	blank
ORD00012	oral	false	blank	PAT00012	PHY10009	medication	completed	2024-05-24T10:05:00	blank	Lisinopril	20mg	blank	blank	blank	blank	blank	routine	Routine hypertension med.	PHY10009	physician	2024-05-24T11:00:00
ORD00013	blank	true	blank	PAT00013	PHY10010	lab	in-progress	2024-06-02T08:30:00	blank	blank	blank	Urinalysis	blank	blank	abnormal_value_alert	no_action	urgent	Monitor for infection.	NUR90005	nurse	blank
ORD00014	blank	false	blank	PAT00014	PHY10011	consult	completed	2024-04-22T09:00:00	blank	blank	blank	blank	nephrology	blank	blank	blank	routine	Consult for renal function.	ADM11003	other	2024-04-22T13:00:00
ORD00015	oral	true	blank	PAT00015	PHY10012	medication	pending	2024-06-04T09:30:00	blank	Atorvastatin	10mg	blank	blank	blank	allergy_alert	order_modified	routine	Statin dose modified.	PHY10012	physician	blank
ORD00016	blank	false	blank	PAT00016	PHY10013	order_set	pending	2024-05-25T11:15:00	SET0003	blank	blank	blank	blank	blank	blank	blank	blank	Preop checklist.	ADM11004	other	blank
ORD00017	blank	false	blank	PAT00017	PHY10005	nursing	completed	2023-12-08T07:00:00	blank	blank	blank	blank	blank	catheter care	blank	blank	routine	Catheter care every shift.	NUR90006	nurse	2023-12-08T10:00:00
ORD00018	blank	false	X-ray	PAT00018	PHY10014	imaging	completed	2024-06-05T12:00:00	blank	blank	blank	blank	blank	blank	blank	blank	routine	X-ray for suspected fracture.	PHY10014	physician	2024-06-05T13:30:00
ORD00019	blank	false	blank	PAT00019	PHY10015	lab	in-progress	2024-06-02T17:25:00	blank	blank	blank	Electrolytes	blank	blank	blank	blank	urgent	Monitor potassium levels.	NUR90007	nurse	blank
ORD00020	oral	true	blank	PAT00020	PHY10016	medication	completed	2024-06-04T07:10:00	SET0004	Amoxicillin	500mg	blank	blank	blank	allergy_alert	order_cancelled	stat	Allergy detected, order cancelled.	PHY10016	physician	2024-06-04T08:30:00

What the 110 rows show

from the 110-row sample

27%decision_support_triggered = true
3decision support action takens
3order priorities
4order statuses
4entered by roles
6order types

medication_route27 rows by value

imaging_type18 rows with a value · 92 left blank

CT7
MRI6
X-ray4
Ultrasound1

22 columns by typefrom the column list below

string 19
datetime 2
boolean 1

Columns

22 columns in three groups

blueprint · 22 columns
column	type	description	example
Text 19 columns
`order_id`	string	Unique identifier for the physician orderunique	ORD00001
`patient_id`	string	Unique identifier for the patient receiving the order	PAT00001
`physician_id`	string	Unique identifier for the ordering physician	PHY10001
`order_type`	string	Type of order (e.g., medication, lab, imaging, consult, nursing, order set)6 values	medication
`order_status`	string	Current status of the order (e.g., pending, completed, cancelled, in-progress)pending · completed · cancelled · in-progress	completed
`order_set_id`	string	Identifier for the order set if the order is part of a predefined set (blank if not applicable)optional	SET0001
`medication_name`	string	Name of the medication ordered (blank if not applicable)optional	Metoprolol
`medication_dose`	string	Dose of the medication ordered (blank if not applicable)optional	50mg
`medication_route`	string	Route of administration for the medication (e.g., oral, IV, IM; blank if not applicable)3 routes · optional	oral
`lab_test_name`	string	Name of the laboratory test ordered (blank if not applicable)optional	CBC
`imaging_type`	string	Type of imaging study ordered (e.g., X-ray, MRI, CT; blank if not applicable)4 types · optional	CT
`consult_service`	string	Consulted specialty/service (e.g., cardiology, nephrology; blank if not applicable)7 services · optional	cardiology
`nursing_order_detail`	string	Details of the nursing order (e.g., wound care, IV placement; blank if not applicable)optional	wound care
`decision_support_alert_type`	string	Type of alert or recommendation provided by decision support (blank if not applicable)optional	max_dose_alert
`decision_support_action_taken`	string	Action taken in response to decision support (e.g., order modified, order cancelled, no action; blank if not applicable)order_modified · order_cancelled · no_action · · optional	order_modified
`order_priority`	string	Priority of the order (e.g., routine, stat, urgent)routine · stat · urgent · · optional	routine
`order_comments`	string	Additional comments or instructions provided by the physicianoptional	CBC ordered for fever.
`entered_by_user_id`	string	Identifier for the user who entered the order (could be physician or delegate)	PHY10001
`entered_by_role`	string	Role of the user who entered the order (e.g., physician, nurse, pharmacist)physician · nurse · pharmacist · other	physician
Dates and times 2 columns
`order_datetime`	datetime	Date and time when the order was placed	2024-05-30T09:14:00
`order_completed_datetime`	datetime	Date and time when the order was completed (blank if not yet completed)optional	2024-05-30T14:18:00
True or false 1 column
`decision_support_triggered`	boolean	Indicates if clinical decision support was triggered during order entry	true

Use it for

A healthcare dashboard
The decision_support_triggered rate, decision_support_triggered by medication_route and a breakdown of imaging_type. Excel, Power BI or Tableau.
Why do 30 of 110 rows have decision_support_triggered = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 110 rows.
Orders110
ORD00001oral
ORD00002—
ORD00005—
A software demo
Believable orders with patient_id, physician_id and order_type to fill a screen in front of a buyer.

This dataset110 rows22 columns

Yours1,000 rows22 columns

blueprint · physician-orders-and-cpoe-data

Behind this dataset

Same schema. As many rows as you need.

These 110 rows came out of a blueprint — 22 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.

Rules it was built with

Order ID unique per order
Order type: medication, lab, imaging, consult, procedure, diet, nursing
Ordering provider with NPI
Co-signature required for residents or mid-levels
Order date/time and start date/time
Priority: routine, urgent, stat, ASAP
Order details specific to type (dose for meds, test for labs)
Indications and reason for order

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

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: physician-orders-and-cpoe-data

What should your data show?

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Sample rows

What the 110 rows show

Columns

Use it for

A healthcare dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Healthcare

What should your data show?