27 publicaciones etiquetados con "backend"

A landmark day for the Parthenon platform: the Abby Study Design Compiler crossed the finish line and landed in production. Alongside that headline feature, we completed a deep structural refactor of the Study Workbench, patched a collection of critical runtime bugs, and hardened the frontend with accessibility improvements and unsaved-changes guards. Phase 19 smoke testing confirmed everything holds together against the live DEV environment.

A busy Tuesday on Parthenon with work spanning three distinct fronts: consolidating the GIS layer we stood up in Phase 19, continuing to clean up the study design workbench on the frontend, and tightening several infrastructure and testing rough edges that had accumulated over the sprint.

A focused day on Parthenon with three distinct threads advancing in parallel: the GIS-backed urban/rural stratification pipeline moved from concept to tested RED-phase scaffolding, the Study Designer received several important bug fixes and UX improvements, and the architectural groundwork for Abby's guided Study Design Compiler workflow was laid out in detail.

A dense Saturday of stability work across Parthenon — today's 89 commits concentrated on three converging themes: getting the cross-platform installer into a shippable state, closing out a backlog of high-severity audit findings in the Care Bundles engine, and restoring broken workspace workflows in Patient Similarity. No new features today; this was deliberate debt-clearing ahead of the next feature milestone.

A dense day on Parthenon with 58 commits landing across a wide surface area: the Care Bundles workbench reached a meaningful analytical milestone with Phase 3 Tier A methodology complete, the macOS CI pipeline was significantly streamlined, and we laid down a comprehensive design spec for the installer's first-run experience. Sprinkled throughout were a handful of i18n fixes and auth UX improvements that round out the release candidate picture.

Today's work was squarely focused on one of the less glamorous but absolutely critical aspects of platform engineering: making the CI pipeline trustworthy. Following last week's FinnGen development merge, we spent the day hardening the migration stack, tightening schema isolation, and wrestling the test suite into a state where green means green and red means red.

A big infrastructure day on Parthenon: the Orthanc DICOM index was completely rebuilt from scratch against locally verified DICOM bytes, resolving a long-standing class of 500 errors in OHIF/DICOMweb. In parallel, the internationalization push accelerated substantially — the Hindi locale wave completed, the next wave of locales was promoted, and string extraction landed across four major UI surfaces.

A dense Saturday on the Parthenon platform — Phase 17 crossed the finish line with a full green test sweep, the cohort Polygenic Risk Score read API landed end-to-end, drawer navigation got properly wired to Phase 15 sections, and the Rust/Tauri installer bootstrapper TODO got a significant planning pass as we map out the path to a true self-contained Community edition.

A massive day on the Parthenon platform: we shipped the full six-chapter Cohort Wizard UI from scratch in a single push, and completed a methodical, non-destructive migration of Imaging, Genomics, GIS, and Oncology extension structures into the localhost OMOP schema. These two workstreams — one facing researchers building cohorts, one facing the data layer powering them — represent a significant leap forward in Parthenon's end-to-end outcomes research story.

Every research platform hits the same inflection point. You build a powerful cohort builder. Researchers love it. They create cohorts for Study 1, Study 2, the rare disease project, the pancreatic cancer corpus. Each study gets its own "All-Cause Death" outcome. Each gets its own "MACE" composite endpoint. Before long, you're staring at 89 cohort definitions in a flat, unsorted list where a meticulous seven-concept-set new-user design sits next to an auto-generated stub with one concept and no generations. A Rett syndrome genotype-stratified trial cohort is sandwiched between a SynPUF cardiometabolic triad and a never-run hypertension bundle. The list is technically complete and practically useless.

Today, Parthenon ships a cohort categorization system that solves this. We audited every cohort definition in the database, identified and consolidated 9 duplicates and orphans, assigned 80 surviving cohorts to 8 clinical domains, computed a quality tier for each one, and rebuilt the Cohort Definitions page with collapsible domain-grouped sections and quality filter pills. Researchers can now browse by clinical domain, filter to study-ready phenotypes, and find what they need in seconds instead of scrolling through a flat table.

This post describes the problem in detail, explains how we analyzed and scored the inventory, walks through the architecture, and shows what the result looks like.