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Quality assurance and quality control

Diagnostics Microbiology and immunology

Pathology’s Best-Kept Secret

| Sponsored by Q2 Solutions

Clinical trials offer pathologists the opportunity to work at the forefront of diagnostic discovery

Outside the Lab Regulation and standards

The Laboratory’s Role in Patient Safety

| Gareth McKeeman

What part does the laboratory play in patient safety and the patient experience?

Inside the Lab Infectious disease

The Uncertain Future of COVID-19

| Malcolm Bell

Testing, treatment, and prevention are pillars in the fight against COVID-19 – and antibodies may help with all three

Inside the Lab Laboratory management

A New Approach to Error

| Michael Schubert

Patient safety affects the laboratory every day, as do errors – so it’s important to speak openly and honestly about them to prevent future mistakes

Inside the Lab Laboratory management

A System of Safety

| Berenice Lopez

How pathologists and laboratory medicine professionals are key contributors to safe and effective patient care

Inside the Lab Laboratory management

How Medical Laboratory Assistants Protect Against Lab Error

| Bamidele Farinre

Medical laboratory assistants play a key role in quality control and the prevention of laboratory errors

Diagnostics Companion diagnostics

Atezolizumab Assay Angst

| David Rimm

David Rimm continues the conversation about the best assay for atezolizumab after a recent response to his original article

Outside the Lab Point of care testing

A Question of Quality

| Luke Turner

This year’s International Pathology Day was all about point-of-care testing – so how do the experts think quality can be delivered across the board?

Outside the Lab Regulation and standards

A Distant Dream

| Rohit Jain

How can we develop laboratory standards and regulations in India to close the gap between the services we offer and the services our patients need?

Inside the Lab Digital and computational pathology

(AI) Trial and (Diagnostic) Error

| Thomas Westerling-Bui

Diagnostic errors are a high-priority patient safety issue – and image analysis using artificial intelligence could help detect and prevent mistakes

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