Medication Reconciliation Records

This dataset provides detailed records of medication reconciliation during patient care transitions, capturing home, admission, and discharge medication lists, discrepancy identification and resolution, and clinician/facility details. It enables robust patient safety monitoring, process optimization, and compliance reporting in healthcare settings.

  • last updated 2 Nov 2025
  • by GoMask
The brief that made it

Monitoring and improving medication safety during care transitions

Sample rows

preview · 8 of 100 rows · all 19 columns
record_idstringfacility_idstringdischarge_medications_countintegerdiscrepancy_typesstringpatient_idstringpatient_first_namestringpatient_last_namestringdate_of_birthdatecare_transition_typestringtransition_datetimedatetimereconciler_idstringreconciler_namestringhome_medications_countintegeradmission_medications_countintegerdiscrepancy_countintegerdiscrepancy_resolution_statusstringresolution_datetimedatetimenotesstringfacility_namestring
REC10001FAC90020omissionPAT202301JamesHolloway1953-07-18admission2024-04-01T08:15:00CLN5008Dr. Wendy Tran321resolved2024-04-01T10:10:00Patient forgot to mention aspirin use at home.North Valley Hospital
REC10002FAC90015blankPAT202302MariaCastro1978-11-22discharge2024-05-10T15:42:00CLN5013Dr. Alan Yates540resolved2024-05-10T15:42:00No discrepancies found.St. Francis Medical Center
REC10003FAC90030commissionPAT202303EthanMorris1965-03-03transfer2024-05-04T17:30:00CLN5002Nurse Carla Benson221pendingblankUnclear if beta blocker should be continued post-transfer.Eastside Community Clinic
REC10004FAC90020blankPAT202304OliviaNguyen1992-01-09admission2024-03-29T09:05:00CLN5010Dr. Priya Shah110resolved2024-03-29T09:05:00No home medication discrepancies.North Valley Hospital
REC10005FAC90046dosage error,omissionPAT202305SamuelKing1945-04-16discharge2024-04-30T10:50:00CLN5014Dr. Lila Foster452resolved2024-04-30T12:16:00Dosage of simvastatin corrected; missing antihypertensive added.Westside Medical Pavilion
REC10006FAC90010blankPAT202306KatherineSullivan1988-09-27admission2024-05-07T13:00:00CLN5003Nurse Miguel Torres020resolved2024-05-07T13:00:00Patient not on any home meds prior to admission.St. Francis Medical Center
REC10007FAC90031omissionPAT202307AbigailClark2000-06-10transfer2024-05-09T15:45:00CLN5011Dr. Vijay Menon221pendingblankAntidepressant not listed in transfer orders.Eastside Community Clinic
REC10008FAC90010dosage errorPAT202308BenjaminLee1970-02-17admission2024-04-08T08:30:00CLN5007Nurse Karen Fox431resolved2024-04-08T09:20:00Incorrect dose of metformin corrected.St. Francis Medical Center

What the 100 rows show

from the 100-row sample

FAC102 (facility id) stands out: mean discharge_medications_count is 4.6, against 2.4 for the rest.

  • 2median discharge_medications_count
  • 2discrepancy resolution statuses
  • 4care transition types
  • 8facility names
  • 3median home_medications_count
  • 3median admission_medications_count
Mean discharge_medications_count by facility_id100 rows
0481.3FAC…14 r…0.85FAC…13 r…3.8FAC…13 r…4.6FAC…13 r…1.3FAC…12 r…3.9FAC…12 r…3.6FAC…12 r…2.1FAC…11 r…
discharge_medications_count100 rows, in bands of 1
015302613131371666048discharge_medications_count →

Median 2, from 0 to 8.

discrepancy_types50 rows with a value · 50 left blank
  1. dosage error15
  2. omission14
  3. commission9
  4. omission, dosage error2
  5. commission, omission2
  6. dosage error,omission1
  7. omission,dosage error1
  8. omission,commission1
  9. commission,dosage error1
  10. commission,omission1
19 columns by typefrom the column list below
  • string 12
  • integer 4
  • date 1
  • datetime 2

Columns

19 columns in three groups
blueprint · 19 columns
columntypedescriptionexample
Text 12 columns
record_idstringUnique identifier for each medication reconciliation recorduniqueREC10001
patient_idstringUnique identifier for the patientPAT202301
patient_first_namestringPatient's first nameoptionalJames
patient_last_namestringPatient's last nameoptionalHolloway
care_transition_typestringType of care transition (e.g., admission, discharge, transfer)admission · discharge · transfer · otheradmission
reconciler_idstringUnique identifier for the clinician performing reconciliationCLN5008
reconciler_namestringName of the clinician performing reconciliationoptionalDr. Wendy Tran
discrepancy_typesstringComma-separated list of discrepancy types identified (e.g., omission, commission, dosage error)optionalomission
discrepancy_resolution_statusstringStatus of discrepancy resolution (e.g., resolved, unresolved, pending)resolved · unresolved · pendingresolved
notesstringAdditional notes or comments regarding the reconciliation processoptionalNo discrepancies found.
facility_idstringUnique identifier for the healthcare facility8 facilitiesFAC9002
facility_namestringName of the healthcare facility8 names · optionalNorth Valley Hospital
Numbers 4 columns
home_medications_countintegerNumber of medications reported as home medications0 or more3
admission_medications_countintegerNumber of medications ordered at admission0 or more2
discharge_medications_countintegerNumber of medications prescribed at discharge0 or more0
discrepancy_countintegerNumber of discrepancies identified during reconciliation0 or more1
Dates and times 3 columns
date_of_birthdatePatient's date of birthoptional1953-07-18
transition_datetimedatetimeDate and time of the care transition2024-04-01T08:15:00
resolution_datetimedatetimeDate and time when discrepancies were resolvedoptional2024-04-01T10:10:00

Use it for

  • median dischar…2100 rowsmean discharge medica…1.3FAC9…0.85FAC9…3.8FAC1…4.6FAC1…

    A healthcare dashboard

    Discharge_medications_count by facility_id and a breakdown of discrepancy_types. Excel, Power BI or Tableau.

  • Why do the 13 FAC102 rows have a mean discharge_medications_count of 4.6?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable records with patient_id, patient_first_name and patient_last_name to fill a screen in front of a buyer.

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This dataset100 rows19 columns
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blueprint · medication-reconciliation-records

Behind this dataset

Same schema. As many rows as you need.

These 100 rows came out of a blueprint — 19 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
  • Reconciliation ID unique per event
  • Reconciliation timepoint: admission, transfer, discharge
  • Home medication list from patient or pharmacy
  • Active medications with dose, frequency, last fill date
  • Over-the-counter and herbal supplements
  • Discrepancies identified: omission, dose error, duplication
  • Reason for discrepancy: intentional change vs error
  • Discrepancy resolution documented
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
medication-reconciliation-records

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