O artigo resume a estratégia de investigação utilizada pela Flow com a utilização de algoritmos e testes reflexos, para reduzir o tempo entre a solicitação do exame e o resultado, reduzir o custo total do ?diagnóstico? e para otimizar recursos do cliente ou parceiro.

Introduction

Brazil is a country with >200 M habitants, where high-complexity diagnostic services are provided almost exclusively by expensive private companies and university hospitals in metropolitan areas. Yet, early, fast, and accurate hematology diagnosis is crucial for the successes rate of any subsequent treatment, independent from where the patient resides within Brazil.

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We have evaluated the effectiveness of our remote onco-hematology laboratory and our decision making algorithm (DMA) as a diagnostic facility for the Hospital Estadual Nossa Senhora das Graças, a institution

 for children with cancer.

Methods

 Results

Using a high-complexity, remote, onco-hematology facility, we were able to reduce diagnosis turn-round-time (TAT) to 24 h, compared to the 72 h commonly required by reference labs, while target-driven molecular and cytogenetic analyses were only required for 50% of the submitted samples.

This strategy thus drastically reduces the number of tests, operational costs, sample                  recollections, and the TAT for the molecular tests/cytogenetic analyses.