All work
Medical records

SyncMD

A progressive AI pipeline that turns thousands of fragmented medical pages into a coherent, source-linked patient history.

My role
AI pipeline design, information architecture, provenance model
System
Document processing, OCR, structured extraction, progressive summarization, retrieval
Progressive summarization architecture: raw medical records become structured, grouped, longitudinal patient views while remaining traceable to source.
01

The constraint

A patient history can span hundreds of files and thousands of pages. Important findings compete with duplicates, administrative material, inconsistent terminology, and repeated descriptions of the same condition.

A single summarize-everything request flattens that complexity. The pipeline instead preserves chronology, contradictions, and the source behind each clinically relevant statement.

02

Progressive architecture

  1. 01

    Normalize

    Convert PDFs and scans into consistent records with dates, providers, document types, and source locations.

  2. 02

    Extract

    Capture diagnoses, medications, labs, procedures, findings, and follow-up from each document independently.

  3. 03

    Group

    Organize related facts across chronology, medications, labs, imaging, procedures, and hospitalizations.

  4. 04

    Synthesize

    Build a longitudinal patient overview that preserves change over time and unresolved contradictions.

  5. 05

    Retrieve

    Answer focused clinical questions by returning to the most relevant summaries and source records.

03

Patient access

The pipeline feeds a patient-facing record hub where people can connect providers, request records, browse their documents, and open Sync.Sense for personalized insights.

The complexity stays behind the interface: patients see one organized entry point to a medical history assembled from many sources.

SyncMD mobile experience connecting medical records, provider requests, document access, and personalized Sync.Sense insights.
04

Source traceability

Evidence chain

Every overview statement can lead back through grouped facts and document summaries to the original record.

Change history

Processing versions and corrections show how the patient view evolved as records and interpretations changed.

05

Incremental updates

When a new record arrives, the pipeline updates only the affected summaries, groups, and overview sections. A patient history can grow continuously without reprocessing thousands of pages from the beginning.

06

Focused questions

Once the history is structured, Sync.Sense can investigate questions that require connections across time: a new symptom, an older diagnosis, a medication change, or a pattern spread across several providers.

The same pipeline can then turn the relevant history into a concise summary for the patient's next conversation with a doctor.

Sync.Sense connecting a current symptom with medication and historical context, then preparing a summary for the patient's doctor.