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Patient Journey

The Patient Journey interface consolidates all available clinical information into a single, longitudinal profile—providing clinicians, researchers, and analysts with a transparent and holistic view of a patient's healthcare trajectory.

By chronologically aligning structured EHR events, NLP-derived facts, documents, diagnoses, procedures, medications, and calculated insights, the module helps answer:

  1. What does the patient's longitudinal health journey reveal?
  2. Which clinical data elements exist across time and systems?
  3. How can users explore individual patient records with full traceability and context?

Patient Journey Timeline

This video demonstrates the interface visually without audio narration.

Population Overview Metrics​

At the module's entry point, system-level metrics summarize the underlying patient dataset:

  • Total Patients: Unique patients in the PJI environment
  • Conditions: Distinct clinical diagnoses represented
  • Gender Distribution: Visualized demographic proportions
  • Total Documents: Volume of associated clinical documentation

These indicators enable a high-level epidemiological understanding before deep-diving into individual profiles.

Top Diagnoses & Medications​

Two analytic panels highlight frequently observed clinical patterns:

Top Diagnoses​

Displays the most prevalent conditions over selectable timeframes:

  • Last 12 months
  • Last 30 days
  • Last 7 days
  • Last 24 hours

Top Medications​

Summarizes the most commonly prescribed or administered medications over the same intervals.

These components support public health surveillance, research trend detection, and real-time clinical pattern recognition.

Patient List Interface​

The Patient List serves as the entry point to individual longitudinal profiles. Features include:

  • Search by patient ID, name, or condition
  • Sort by age, last visit, or demographic attributes
  • Key columns:
    • Name
    • Age
    • Gender
    • Primary Condition
    • Last Visit Date

Clicking a row opens a detailed patient view.

Patient Summary Sidebar​

When a patient is selected, a sidebar appears showing core demographic and clinical metadata:

Demographics​

  • Patient ID
  • Age
  • Gender
  • Date of Birth
  • Race
  • Ethnicity

Clinical Summary​

  • Primary Condition
  • Last Encounter Date
  • Total Visits
  • Total Documents
  • Tag-based display of all diagnoses

A Full Profile button opens the longitudinal Patient Journey explorer.

Patient Journey Sub-Modules​

Each patient profile is subdivided into eight structured sections, facilitating focused exploration:

  • Visits
  • Procedures
  • Medications
  • Conditions
  • Notes
  • Cohorts
  • Events
  • Calculations

1. Visits​

Chronologically lists all encounters across healthcare settings.

Fields:​
  • Visit Start/End
  • Type (e.g., outpatient, inpatient, ED)
  • Category (EHR-based, NLP-inferred)
  • Care Site
  • Admission/Discharge details
Features:​
  • Filter and sort by type, site, or date
  • Select to open Visit Drawer with:
    • Visit ID
    • Duration
    • Source details
    • Admission metadata

2. Procedures​

Lists all recorded procedures with full provenance.

Fields:​
  • Procedure Name
  • Date
  • Data Source (structured/NLP)
  • Source Value
  • Clinical Chapter
  • Provenance Viewer (view original documentation snippet)

3. Medications​

Displays medication administration and prescription history.

Fields:​
  • Drug Name
  • Start/End Dates
  • Source Type
  • Raw Source Value
  • Provenance link (if applicable)

Supports reconciliation, treatment history tracking, and pharmacovigilance.

4. Conditions​

Includes all clinical conditions attributed to the patient.

Fields:​
  • Condition Name
  • Timeframe (onset/end)
  • Source Type
  • Raw Source Value
  • Provenance for traceability

Drawn from structured data or NLP-based extractions.

5. Notes​

Provides access to full-text clinical documentation.

Fields:​
  • Document Title
  • Type (e.g., progress note, discharge summary)
  • Date
  • Source (structured or NLP-processed)

Clicking a note opens the Provenance Viewer, displaying:

  • Original text
  • Extracted concepts (highlighted)
  • Metadata context

This ensures complete transparency into how structured outputs were derived.

6. Cohorts​

Displays all cohorts the patient is enrolled in.

Columns:​
  • Cohort Name
  • Category
  • Description
  • Patient Count
  • Document Count
  • Creation Date

An empty state appears if the patient is not assigned to any cohorts.

7. Events​

A unified, temporal view of all clinical events.

Columns:​
  • Event Date
  • Name
  • Domain (e.g., Condition, Drug, Observation)
  • Chapter
  • Type (EHR or NLP-derived)
  • Source Value

Includes filtering by event type, domain, and a Past Events toggle for retrospective analysis.

8. Calculations​

Displays clinically derived scores and model outputs.

Examples:​
  • Cardiovascular risk scores
  • Pulmonary function indices
  • AI-based predictions (e.g., mortality, readmission risk)
Features:​
  • Category-based filtering
  • Search functionality
  • Grid/List display modes
  • Option to include empty or partially completed calculations

Core Strengths of Patient Journey​

The module delivers a clinically interpretable, traceable, and analytics-ready view of every patient, supporting:

  • True longitudinal tracking across care settings and systems
  • Integration of structured and unstructured data (EHR, notes, NLP)
  • Transparent provenance linking each data point to its source
  • Full-spectrum timelines of encounters, interventions, and outcomes
  • Embedded analytics via real-time calculations and risk scores
  • Seamless linkages to cohorts, conditions, and documentation

This makes Patient Journey indispensable for clinical teams, researchers, and data stewards.

The Patient Journey module offers a comprehensive, clinically rich, and longitudinally structured view of individual patient experiences across the PJI platform.

It provides:

  • Integrated clinical context across data sources
  • Provenance visibility for trust and validation
  • Patient-level timelines and event histories
  • Advanced analytics at the point of care or research
  • Linkage to broader cohort and system-level insights

Whether for population health monitoring, clinical investigation, or patient-specific review, the Patient Journey module ensures that every insight is grounded in accurate, transparent, and longitudinally aligned data.

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