Healthcare
17 columns
105 rows
8 formats

Medication Administration Records (MAR)

This dataset provides detailed, event-level records of inpatient medication administration, including drug details, dosing, route, timing, nurse identifiers, and clinical context such as PRN justification, hold reasons, and adverse reactions. It is ideal for quality improvement, medication safety analysis, and clinical workflow optimization in hospital settings.

last updated 2 Nov 2025
by GoMask

The brief that made it

Medication safety and adverse event monitoring

Sample rows

preview · 8 of 105 rows · all 17 columns

mar_idstring	routestring	medication_dosefloat	hold_flagboolean	dose_unitstring	patient_idstring	encounter_idstring	medication_namestring	time_administereddatetime	administering_nurse_idstring	administering_nurse_namestring	hold_reasonstring	prn_flagboolean	prn_justificationstring	adverse_reaction_flagboolean	adverse_reaction_descriptionstring	notesstring
MAR0001	oral	50	false	mg	PAT0031	ENC0221	Metoprolol	2024-06-01T08:12:00	NUR004	Ana Torres	blank	false	blank	false	blank	Vitals checked prior to administration
MAR0002	oral	1000	false	mg	PAT0014	ENC0203	Acetaminophen	2024-06-01T09:40:00	NUR002	Javier Martinez	blank	true	Patient reported headache	false	blank	Pain score prior: 5/10
MAR0003	subcutaneous	14	false	units	PAT0002	ENC0201	Insulin glargine	2024-06-01T07:20:00	NUR009	Katherine Lee	blank	false	blank	false	blank	Blood glucose: 178 mg/dL
MAR0004	subcutaneous	5000	false	units	PAT0023	ENC0222	Heparin	2024-06-01T08:30:00	NUR008	Ellen Wu	blank	false	blank	false	blank	No bleeding noted
MAR0005	IV	40	false	mg	PAT0019	ENC0218	Furosemide	2024-06-01T10:15:00	NUR003	Carlos Rivera	blank	false	blank	false	blank	Urine output monitored
MAR0006	IV	1	false	mg	PAT0027	ENC0216	Hydromorphone	2024-06-01T11:22:00	NUR005	Samantha Chen	blank	true	Severe pain reported	false	blank	Alert and oriented
MAR0007	inhalation	2.5	false	mg	PAT0008	ENC0223	Albuterol	2024-06-01T09:00:00	NUR006	Rebecca Smith	blank	true	Wheezing observed	false	blank	Improved breath sounds post administration
MAR0008	oral	5	false	mg	PAT0022	ENC0224	Warfarin	2024-06-01T08:45:00	NUR002	Javier Martinez	blank	false	blank	false	blank	INR checked prior
MAR0009	IV	4	false	mg	PAT0012	ENC0214	Ondansetron	2024-06-01T10:50:00	NUR004	Ana Torres	blank	true	Nausea reported	false	blank	No vomiting post administration
MAR0010	oral	500	false	mg	PAT0010	ENC0217	Amoxicillin	2024-06-01T07:30:00	NUR008	Ellen Wu	blank	false	blank	false	blank	First dose of new course
MAR0011	IV	2	false	mg	PAT0029	ENC0212	Morphine	2024-06-01T11:44:00	NUR001	Linda White	blank	true	Patient pain level 8/10	true	Mild itching observed	Benadryl considered
MAR0012	IV	40	false	mg	PAT0017	ENC0213	Pantoprazole	2024-06-01T07:50:00	NUR003	Carlos Rivera	blank	false	blank	false	blank	No adverse effects
MAR0013	oral	1	true	mg	PAT0011	ENC0211	Lorazepam	2024-06-01T09:15:00	NUR005	Samantha Chen	Patient refused medication	false	blank	false	blank	Patient alert and oriented
MAR0014	IV	750	false	mg	PAT0001	ENC0204	Levofloxacin	2024-06-01T10:05:00	NUR006	Rebecca Smith	blank	false	blank	false	blank	Signs of infection improving
MAR0015	oral	20	false	mg	PAT0026	ENC0206	Prednisone	2024-06-01T08:55:00	NUR007	Franklin Yang	blank	false	blank	false	blank	Swallowed without difficulty
MAR0016	IV	6	false	mg	PAT0030	ENC0210	Dexamethasone	2024-06-01T07:18:00	NUR001	Linda White	blank	false	blank	true	Redness at IV site	Site monitored for swelling
MAR0017	oral	300	false	mg	PAT0003	ENC0209	Gabapentin	2024-06-01T09:35:00	NUR009	Katherine Lee	blank	true	Neuropathic pain	false	blank	Pain score decreased
MAR0018	subcutaneous	40	false	mg	PAT0020	ENC0208	Enoxaparin	2024-06-01T07:58:00	NUR007	Franklin Yang	blank	false	blank	false	blank	No bruising noted
MAR0019	oral	500	false	mg	PAT0013	ENC0207	Metformin	2024-06-01T09:20:00	NUR003	Carlos Rivera	blank	false	blank	false	blank	No GI upset reported
MAR0020	oral	81	false	mg	PAT0028	ENC0205	Aspirin	2024-06-01T08:20:00	NUR002	Javier Martinez	blank	false	blank	false	blank	No bleeding noted

What the 105 rows show

from the 105-row sample

5%hold_flag = true
20.0median medication_dose

route105 rows by value

medication_dose105 rows, in bands of 500

Median 20.0, from 0.0 to 5,000.

dose_unit105 rows · 7 values

mg84
g9
units5
mEq3
mcg2
mL1
puffs1

17 columns by typefrom the column list below

string 12
float 1
datetime 1
boolean 3

Columns

17 columns in four groups

blueprint · 17 columns
column	type	description	example
Text 12 columns
`mar_id`	string	Unique identifier for each medication administration record eventunique	MAR0001
`patient_id`	string	Unique identifier for the patient receiving the medication	PAT0031
`encounter_id`	string	Unique identifier for the inpatient encounter or admission	ENC0221
`medication_name`	string	Name of the medication administered	Metoprolol
`dose_unit`	string	Unit of measurement for the medication dose (e.g., mg, mL)7 units	mg
`route`	string	Route of administration (e.g., oral, IV, IM, subcutaneous)7 values	oral
`administering_nurse_id`	string	Unique identifier for the nurse who administered the medication	NUR004
`administering_nurse_name`	string	Full name of the nurse who administered the medicationoptional	Ana Torres
`hold_reason`	string	Reason for holding the medication (if applicable)4 reasons · optional	Patient NPO for surgery
`prn_justification`	string	Justification for PRN administration (if applicable)optional	Severe pain reported
`adverse_reaction_description`	string	Description of any adverse reactions observed (if applicable)optional	Mild itching observed
`notes`	string	Additional notes or comments related to the administration eventoptional	Pain score prior: 5/10
Numbers 1 column
`medication_dose`	float	Dose of medication administered0 or more	50
Dates and times 1 column
`time_administered`	datetime	Date and time when the medication was administered	2024-06-01T08:12:00
True or false 3 columns
`hold_flag`	boolean	Indicates if the medication was held (not administered)	false
`prn_flag`	boolean	Indicates if the medication was administered as needed (PRN)	false
`adverse_reaction_flag`	boolean	Indicates if any adverse reaction occurred after administration	false

Use it for

A healthcare dashboard
The hold_flag rate, medication_dose by route and a breakdown of dose_unit. Excel, Power BI or Tableau.
Why do 5 of 105 rows have hold_flag = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 105 rows.
Mars105
MAR000150oral
MAR00131oral
MAR00391IV
A software demo
Believable mars with patient_id, encounter_id and medication_name to fill a screen in front of a buyer.

This dataset105 rows17 columns

Yours1,000 rows17 columns

blueprint · medication-administration-records-mar

Behind this dataset

Same schema. As many rows as you need.

These 105 rows came out of a blueprint — 17 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

Administration ID unique per event
Scheduled vs PRN (as needed) medications
Five rights: right patient, drug, dose, route, time
Barcode scanning for patient and medication verification
Administration time documented
Administering nurse with credentials
Held medication requires reason code
PRN medications require indication/reason

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: medication-administration-records-mar

What should your data show?

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Sample rows

What the 105 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.

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