Clinical Progress Notes and Documentation

This dataset provides comprehensive clinical progress notes and documentation, including SOAP notes, consultations, operative reports, and discharge summaries, each linked to authenticated providers and patient encounters. It enables robust clinical audit trails, supports quality improvement, and facilitates research in patient care documentation and provider performance.

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

Clinical quality improvement and audit trails

Sample rows

preview · 8 of 103 rows · all 18 columns
note_idstringprovider_rolestringpatient_ageintegeris_amendedbooleandepartmentstringpatient_idstringprovider_idstringprovider_namestringnote_typestringnote_datetimedatetimeencounter_idstringauthentication_datetimedatetimeamendment_datetimedatetimeamendment_reasonstringdiagnosis_codestringprocedure_codestringpatient_genderstringnote_textstring
N0001MD35falseInternal MedicineP101PR29Dr. Alice K. JensenSOAP Note2024-04-10T09:15:00E55012024-04-10T09:23:00blankblankJ06.9blankFemalePatient presents with cough and mild fever. Assessment: Viral URI suspected. Plan: Supportive care, monitor symptoms.
N0002RN63falseEmergencyP102PR07James T. O'NeilNursing Note2024-04-10T10:01:00E55022024-04-10T10:05:00blankblankblankblankMaleVitals stable. Patient reports pain 3/10. No new complaints. Monitoring continues.
N0003NP48falseCardiologyP103PR14Samantha V. LopezConsultation Note2024-04-09T14:30:00E55032024-04-09T14:48:00blankblankR07.993000MaleConsult requested for evaluation of chest pain. ECG reviewed, no acute findings. Recommend outpatient stress test.
N0004MD27falseSurgeryP104PR21Dr. John S. KimOperative Report2024-04-08T07:45:00E55042024-04-08T08:20:00blankblankK35.8044970FemaleAppendectomy performed under general anesthesia. No complications. Estimated blood loss 50ml.
N0005PharmD72falsePharmacyP105PR05Phyllis E. WarnerOther2024-04-10T11:12:00E55052024-04-10T11:16:00blankblankblankblankMaleMedication reconciliation completed. No discrepancies found.
N0006DO52falseGeneral MedicineP106PR33Dr. Felicia R. ChenHistory and Physical2024-04-07T08:30:00E55062024-04-07T08:47:00blankblankZ00.0099203FemaleComprehensive history and physical performed. No acute findings. Preventive care addressed.
N0007PA57trueOrthopedicsP107PR18Anthony J. GloverSOAP Note2024-04-10T13:22:00E55072024-04-10T13:28:002024-04-10T15:10:00Correction of exam findings.M25.56173562FemaleComplaints of knee pain. Physical exam shows mild effusion. X-ray ordered.
N0008NP65falseRehabilitationP108PR14Samantha V. LopezNursing Note2024-04-10T07:43:00E55082024-04-10T07:50:00blankblankblankblankFemalePatient completed morning exercises. Mobility improving. No new complaints.

What the 103 rows show

from the 103-row sample

NP (provider role) stands out: mean patient_age is 29.9, against 50.2 for the rest.

  • 8%is_amended = true
  • 48median patient_age
  • 2patient genders
  • 7note types
Mean patient_age by provider_role103 rows
0408051.1MD43 rows36.2DO9 rows59.3RN17 rows37.7PA14 rows29.9NP14 rows68.3PharmD6 rows
patient_age103 rows, in bands of 10
0102034141716191710305090patient_age →

Median 48, from 5 to 82.

department103 rows · top 10 of 22 values
  1. Surgery13
  2. Internal Medicine11
  3. Cardiology7
  4. Pulmonology7
  5. Dermatology7
  6. Emergency6
  7. Pharmacy6
  8. Orthopedics6
  9. Family Medicine6
  10. Oncology5
18 columns by typefrom the column list below
  • string 13
  • integer 1
  • datetime 3
  • boolean 1

Columns

18 columns in four groups
blueprint · 18 columns
columntypedescriptionexample
Text 13 columns
note_idstringUnique identifier for each clinical note or documentation entryuniqueN0001
patient_idstringUnique identifier for the patient associated with the clinical noteP101
provider_idstringUnique identifier for the healthcare provider authoring the notePR29
provider_namestringFull name of the healthcare provider authoring the noteDr. Alice K. Jensen
provider_rolestringRole or title of the provider (e.g., MD, RN, PA, NP)7 valuesMD
note_typestringType of clinical documentation (e.g., SOAP note, history and physical, consultation, discharge summary, operative report, nursing note)7 valuesSOAP Note
encounter_idstringUnique identifier for the clinical encounter or visit associated with the noteE5501
departmentstringDepartment or specialty where the note was authored (e.g., Cardiology, Surgery, Emergency)optionalInternal Medicine
note_textstringFull text content of the clinical note or documentationPatient presents with cou…
amendment_reasonstringReason for amendment, if the note was amendedoptionalAdded new medication.
diagnosis_codestringPrimary diagnosis code (e.g., ICD-10) associated with the note, if applicableoptionalJ06.9
procedure_codestringPrimary procedure code (e.g., CPT) associated with the note, if applicableoptional93000
patient_genderstringGender of the patientMale · Female · Other · Unknown · optionalFemale
Numbers 1 column
patient_ageintegerAge of the patient at the time of the note0 to 120 · optional35
Dates and times 3 columns
note_datetimedatetimeDate and time when the clinical note was created2024-04-10T09:15:00
authentication_datetimedatetimeDate and time when the provider authenticated or signed the note2024-04-10T09:23:00
amendment_datetimedatetimeDate and time of the latest amendment to the note, if applicableoptional2024-04-10T15:10:00
True or false 1 column
is_amendedbooleanIndicates whether the note has been amended after initial authenticationfalse

Use it for

  • is amended8%8 of 103 rowsmean patient age by p…51.1MD36.2DO59.3RN37.7PA

    A healthcare dashboard

    The is_amended rate, patient_age by provider_role and a breakdown of department. Excel, Power BI or Tableau.

  • Why do the 14 NP rows have a mean patient_age of 29.9?

    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 notes with patient_id, provider_id and provider_name to fill a screen in front of a buyer.

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blueprint · clinical-progress-notes-and-documentation

Behind this dataset

Same schema. As many rows as you need.

These 103 rows came out of a blueprint — 18 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
  • Note ID unique per document
  • Note type: progress note, H&P, consultation, discharge summary, operative, nursing
  • SOAP format: Subjective, Objective, Assessment, Plan
  • Authoring provider with NPI
  • Co-signature required for residents and mid-levels in some settings
  • Authentication timestamp (electronically signed)
  • Addendum and amendment tracking
  • Templates and smart phrases for efficiency
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
clinical-progress-notes-and-documentation

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