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The clinical laboratory: a decision maker hub.

María Salinas1, Maite López-Garrigós1,2,3, Emilio Flores1,4

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A new laboratory model utilizing information technology and clinical partnerships identifies over 2000 patients with undiagnosed disorders like diabetes and hypomagnesemia, improving diagnosis and patient care.

Keywords:
appropriatenessclinical laboratorydemand managementunder-request

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Area of Science:

  • Clinical Laboratory Science
  • Health Informatics
  • Diagnostic Medicine

Background:

  • Traditional laboratories often play a passive role in patient diagnosis.
  • There is a need for proactive laboratory models to improve clinical decision-making.
  • Integrating information technology and clinical partnerships can enhance diagnostic capabilities.

Purpose of the Study:

  • To introduce a novel laboratory model focused on proactive diagnosis of occult diseases.
  • To evaluate the impact of opportunistic laboratory interventions on disease detection.
  • To leverage information technology for appropriate laboratory test selection and clinical decision support.

Main Methods:

  • Retrospective longitudinal study from January 2012 to September 2020.
  • Implementation of a new laboratory model integrating IT and clinical collaboration.
  • Evaluation of eight opportunistic interventions for diagnosing asymptomatic disorders via automated laboratory testing.

Main Results:

  • Successfully identified 2063 patients with clinically relevant, yet-undiagnosed disorders.
  • Detected conditions including primary hyperparathyroidism, diabetes, and hypomagnesemia.
  • Demonstrated the model's effectiveness in uncovering occult diseases.

Conclusions:

  • The developed laboratory model acts as a leading entity, not merely a passive provider.
  • This proactive approach significantly aids in clinical decision-making for diagnosing hidden diseases.
  • The model facilitates the identification of patients with previously undiagnosed conditions.