---
title: Siloed clinical data blocks interoperability and evidence-based decisions
canonical: https://openclienting.org/pt/problems/881d8f8c-cc98-43be-ac68-429595bb1929
status: unsolved
created: 2026-04-17T18:03:22.916782+00:00
updated: 2026-04-17T20:11:33.920668+00:00
tags: [visibility, healthcare, it]
---

# Siloed clinical data blocks interoperability and evidence-based decisions

**Autor:** Anónimo
**Organização:** Curantis Solutions

_Visibility · Healthcare · IT_

## Descrição

Curantis had valuable healthcare data but faced the challenge of making it interoperable, easier to analyze, and more useful to internal teams and customers. The AWS case study says the SMB needed to address FHIR-related compliance and that, before its new setup, its data was difficult to access and analyze for leaders who needed timely insight.

## Requisitos

1. Stores healthcare data in a centralized, interoperability-compatible format. (0 votos) — Anónimo · Curantis Solutions
2. Allows internal teams and customers to query and analyze data without specialist technical assistance. (0 votos) — Anónimo · Curantis Solutions
3. Delivers near-real-time reports that replace manual review of large data volumes for decision-making. (0 votos) — Anónimo · Curantis Solutions
4. Provides a data foundation that can be extended to support future analytics and predictive capabilities. (0 votos) — Anónimo · Curantis Solutions

## Frameworks de Piloto

### Frameworks de Piloto #1 — Anónimo · Curantis Solutions (0 votos)

- **Âmbito:** Pilot the data-unification workflow on a defined set of clinical and operational datasets used for analytics and interoperable exchange.
- **Duração:** An 8- to 10-week pilot is appropriate for one bounded analytics and interoperability use case in a regulated healthcare software environment.
- **KPIs sugeridos:** Track time to access reportable data, number of data sources unified, report latency, and analyst or leadership time spent preparing routine insight requests.
- **Critérios de sucesso:** The pilot succeeds if data becomes easier to analyze, interoperable datasets are centralized, and leadership can answer operational questions with less manual effort.
- **Erros comuns:** Common pitfalls include incomplete source mapping, weak governance around healthcare data standards, and dashboards that still require technical mediation to answer business questions.
- **Compromisso de recursos:** Requires a product or data lead, engineering support, and limited business-user participation to validate reporting and workflow usefulness.

## Abordagens de Solução

Ainda não foram publicadas abordagens de solução.

## Fonte

- **Canonical:** https://openclienting.org/pt/problems/881d8f8c-cc98-43be-ac68-429595bb1929
- **Licença:** CC BY-SA 4.0