niquola

Binary.securityContext: применение контекста безопасности к Binary

Краткий вывод

Наша интерпретация соответствует смыслу элемента и обсуждениям в FHIR Zulip:

При операции над Binary сервер должен применить проверки авторизации, соответствующие ресурсу, указанному в Binary.securityContext.

Для чтения это можно выразить так:

niquola

FHIR-native Data Quality & Observability

A proposal sketch for the SQL on FHIR community — how to express data-quality checks on top of the primitives we already have (ViewDefinition, SQLQuery Library, and query-to-query dependencies).

Compiled by Claude, working with @niquola, as background for discussion. Feedback very welcome.

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TL;DR

niquola

Materialized View

SQL on FHIR — draft for community discussion (branch).

Maturity Level: 1 · Standards Status: Draft · Security Category: Patient · Compartments: Patient, Group

Description

A MaterializedView is a server-managed, persisted representation of the output of a single ViewDefinition or SQLView (a SQLQuery Library) — its data processed into an efficient form for future query or load, such as a SQL table or view, or a Parquet/CSV file.

niquola

Design: $materialize Operation & MaterializedView Resource

Status: Draft

Date: 2026-06-23

Issue: #326

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1. Problem Statement

niquola

$materialize: prior art for freshness control in analytical platforms

Research in support of the SQL-on-FHIR $materialize operation design (issue #326). Question: how does the industry (a) create / refresh / drop materializations, and (b) let clients control acceptable data staleness? Sourced from official documentation (links at the bottom).

The current $materialize proposal uses 3 HTTP verbs on one URL (POST = create-or-refresh idempotently, GET = status, DELETE = drop), an async poll pattern, a parameter expressing acceptable staleness (working name freshnessTarget / maxAge, a Duration; absent = manual, 0 = always-live, PT5M = lag ≤ 5 min, server may accept or reject), and a validAsOf output reporting actual freshness.

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Databases & warehouses

niquola

Possible Futures with AI

an semi-astrological essay for IT people and not only

Nikolai Ryzhikov

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What will happen with your job and company in the next 2-5 years?

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niquola

Will your company exist in 5 years?

Note: Pause. Let the silence work. Look around the room. Then click to the title.

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niquola

Wsjet: гипермедиа-виджеты для агентных воркспейсов

TL;DR

Агент создаёт скрипт → в UI появляется ⚡ виджет → пользователь взаимодействует → всё в браузере, без серверов. Скрипт на любом языке, который говорит HTML через stdout. CGI 2026.

Архитектура

graph TB

niquola

Wsjet: Hypermedia Widgets for Human-Agent Collaboration

The Insight

In agentic workflows, communication between human and AI is mostly text — chat messages back and forth. But many interactions are better served by structured UI: a form to fill, a table to review, a dashboard to monitor, a diff to approve.

What if the agent could create UI as easily as it creates files?

What is Wsjet?

niquola

Translating CQL to OMOP CDM SQL: Chlamydia Screening (CMS153)

This document demonstrates how Clinical Quality Language (CQL) artifacts — both quality measures (CQM) and clinical decision support (CDS) — can be expressed as SQL against the OMOP Common Data Model.

The example uses two versions of the same clinical logic: the Chlamydia Screening for Women measure (CMS153 / NQF0033).

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