Patient Encounters and Visits

This dataset provides comprehensive records of patient encounters, including admission/discharge dates, encounter types, chief complaints, attending physicians, diagnosis and procedure codes, and encounter status for care coordination. It enables detailed tracking of patient visits, supports clinical analytics, and facilitates care management workflows for healthcare organizations.

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

Care coordination and workflow management

Sample rows

preview · 8 of 100 rows · all 19 columns
encounter_idstringencounter_statusstringcare_coordinator_idstringpatient_idstringadmission_datedatedischarge_datedateencounter_typestringchief_complaintstringattending_physician_idstringattending_physician_namestringdiagnosis_code_1stringdiagnosis_code_2stringdiagnosis_code_3stringprocedure_code_1stringprocedure_code_2stringprocedure_code_3stringcare_coordinator_namestringcreated_atdatetimeupdated_atdatetime
ENC00001completedCC1001PAT000122023-05-122023-05-15inpatientSevere abdominal painPHY001Dr. Jennifer LeeK35.80R10.9blank44970blankblankSamita Patel2023-05-12T09:14:232023-05-15T17:42:01
ENC00002completedblankPAT000072024-01-212024-01-21outpatientPersistent headachePHY005Dr. Michael ChenG44.1blankblank99214blankblankblank2024-01-21T13:02:112024-01-21T14:16:43
ENC00003completedCC1022PAT00029blankblanktelehealthSeasonal allergiesPHY003Dr. Rachel KimJ30.1R05blank99443blankblankJoseph Wright2024-03-25T10:29:062024-03-25T11:20:44
ENC00004completedCC1009PAT000012023-11-072023-11-08emergencyShortness of breathPHY002Dr. John NguyenJ45.909R06.02blank9301094010blankLinda Ross2023-11-07T19:24:102023-11-08T10:13:55
ENC00005completedblankPAT00015blankblankotherRoutine annual checkPHY005Dr. Michael ChenZ00.00blankblankblankblankblankblank2024-04-02T08:06:322024-04-02T08:28:45
ENC00006completedCC1016PAT000092023-09-192023-09-21inpatientChest painPHY004Dr. Sarah JonesI20.9blankblank9295093010blankGina Frank2023-09-19T15:33:412023-09-21T09:27:08
ENC00007activeCC1018PAT000182024-02-032024-02-04inpatientHigh feverPHY001Dr. Jennifer LeeA41.9R50.9blank96372blankblankHugo Martinez2024-02-03T11:24:392024-02-04T07:12:12
ENC00008completedCC1012PAT00003blankblanktelehealthMedication reviewPHY003Dr. Rachel KimZ79.899blankblank99442blankblankBlake Simmons2023-12-11T09:58:252023-12-11T10:21:19

What the 100 rows show

from the 100-row sample
  • 5encounter types
  • 17attending physicians
  • 17attending physician names
encounter_status100 rows by value
0357027active27%62completed62%11pending11%
care_coordinator_id68 rows with a value · 32 left blank
  1. CC2105
  2. CC2115
  3. CC2045
  4. CC2014
  5. CC2084
  6. CC2034
  7. CC2054
  8. CC10143
  9. CC10023
  10. CC2093
19 columns by typefrom the column list below
  • string 15
  • date 2
  • datetime 2

Columns

19 columns in two groups
blueprint · 19 columns
columntypedescriptionexample
Text 15 columns
encounter_idstringUnique identifier for each patient encounter or visituniqueENC00001
patient_idstringUnique identifier for the patient involved in the encounterPAT00012
encounter_typestringType of encounter (e.g., inpatient, outpatient, emergency, telehealth)inpatient · outpatient · emergency · telehealth · otherinpatient
chief_complaintstringPrimary reason for the patient's visit as stated by the patientoptionalSevere abdominal pain
attending_physician_idstringUnique identifier for the attending physician responsible for the encounterPHY001
attending_physician_namestringFull name of the attending physicianoptionalDr. Jennifer Lee
diagnosis_code_1stringPrimary diagnosis code (e.g., ICD-10) assigned to the encounterK35.80
diagnosis_code_2stringSecondary diagnosis code assigned to the encounter (if applicable)optionalR10.9
diagnosis_code_3stringTertiary diagnosis code assigned to the encounter (if applicable)optionalR50.9
procedure_code_1stringPrimary procedure code (e.g., CPT) performed during the encounteroptional44970
procedure_code_2stringSecondary procedure code performed during the encounter (if applicable)8 2s · optional94010
procedure_code_3stringTertiary procedure code performed during the encounter (if applicable)optional
encounter_statusstringCurrent status of the encounter (e.g., active, completed, cancelled, pending)active · completed · cancelled · pendingcompleted
care_coordinator_idstringUnique identifier for the care coordinator assigned to the encounter (if any)optionalCC1001
care_coordinator_namestringFull name of the care coordinator assigned to the encounter (if any)optionalSamita Patel
Dates and times 4 columns
admission_datedateDate the patient was admitted for the encounteroptional2023-05-12
discharge_datedateDate the patient was discharged from the encounteroptional2023-05-15
created_atdatetimeTimestamp when the encounter record was created2023-05-12T09:14:23
updated_atdatetimeTimestamp when the encounter record was last updatedoptional2023-05-15T17:42:01

Use it for

  • rows10019 columnsrows by encounter sta…27active62comple…11pending

    A healthcare dashboard

    A breakdown of care_coordinator_id. Excel, Power BI or Tableau.

  • What pattern can you find in 100 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 100 rows.

  • A software demo

    Believable encounters with patient_id, admission_date and discharge_date to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 19 columns, your size and your rules. See 20 rows before you pay.

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This dataset100 rows19 columns
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blueprint · patient-encounters-and-visits

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
  • Encounter ID unique per visit
  • Encounter type: outpatient, inpatient, emergency, observation, telehealth
  • Admission date/time and discharge date/time for inpatient
  • Chief complaint documented at triage
  • Attending physician and consulting physicians
  • Primary diagnosis and secondary diagnoses (ICD-10)
  • DRG (Diagnosis Related Group) for inpatient
  • Length of stay calculated for inpatient encounters
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
patient-encounters-and-visits

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