LIS Studies

LIS System Implementation

A Socio-Technical Framework for LIS Implementation Planning

A Socio-Technical Framework for LIS Implementation Planning 1. The Imperative of a Socio-Technical Approach to LIS Implementation 1.1. Beyond Technicalities: The Case for a Holistic Framework The implementation of a new Laboratory Information System (LIS) is a critical undertaking for any clinical or research facility. These projects often represent significant capital investments and are expected […]

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Quality and Compliance in Laboratory Services

Comprehensive Analysis of CMS.gov Survey Guidelines for Laboratories

Analysis of CMS Survey Guidelines for Laboratories Laboratory services are critical in modern healthcare, serving as a foundation for accurate diagnosis, treatment planning, and patient monitoring. The State Operations Manual, Appendix C (issued by CMS.gov) provides comprehensive Survey Procedures and Interpretive Guidelines for Laboratories and Laboratory Services. These guidelines are designed to ensure compliance with

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Error Evaluation in the Laboratory Testing Process and LIS

Error Evaluation in the Laboratory Testing Process and LIS: Insights from a 2021 Case Study

Error Evaluation in the Laboratory Testing Process and LIS: Insights from a 2021 Case Study Research type: ReviewPublished date: 2021 Welcome to our LIS Research Series, where we delve into recent case studies and research in the field of lab testing and Laboratory Information Systems (LIS). Our goal is to apply a scientific-based approach to

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Informatics and Decision Support in Utilization Management

Transformative Role of Informatics & Decision Support in Utilization Management

Research type: ReviewPublished date: 2014 Role of Informatics and Decision Support in Utilization Management Information systems, coupled with advanced informatics resources, play a pivotal role in optimizing utilization management within clinical laboratories. This article delves into the strategic deployment of informatics tools, highlighting their ability to enhance the appropriateness of test selection and results interpretation.

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