Hilab System Device in an Oncological Hospital: A New Clinical Approach for Point of Care CBC Test, Supported by the Internet of Things and Machine Learning

Hilab System Device in an Oncological Hospital: A New Clinical Approach for Point of Care CBC Test, Supported by the Internet of Things and Machine Learning

The complete blood count (CBC) is a highly requested test that is generally restricted to centralized laboratories, which are limited by high cost, being maintenance-demanding, and requiring costly equipment. The Hilab System (HS) is a small, handheld hematological platform that uses microscopy and...

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Bibliographic Details
Published in:Diagnostics (Basel) Vol. 13; no. 10; p. 1695
Main Authors: Gasparin, Aléxia Thamara, Araujo, Claudiane Isabel Franco, Cardoso, Mônica Ribas, Schmitt, Patricia, Godoy, Juliana Beker, Reichert, Eduarda Silva, Pimenta, Maria Eduarda, Gonçalves, Caroline Bretas, Santiago, Erika Bergamo, Silva, Ivan Lucas Reis, Gaideski, Bruno de Paula, Cardoso, Milena Andreuzo, Silva, Fernanda D'Amico, Sommer, Viviane da Rosa, Hartmann, Luis Felipe, Perazzoli, Carolina Rodrigues de Araujo, Farias, João Samuel de Holanda, Beltrame, Olair Carlos, Winter, Nicole, Nicollete, Diego Rinaldi Pavesi, Lopes, Silvia Nathalia Bueno, Predebon, João Victor, Almeida, Bernardo Montesanti Machado de, Rogal Júnior, Sérgio Renato, Figueredo, Marcus Vinícius Mazega
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 11-05-2023
MDPI
Subjects:
AI hematology
Algorithms
Artificial intelligence
Blood
Blood banks
Chromatography
Deep learning
fast cbc test
Health surveillance
Hematology
Hemoglobin
Hospitals
Internet of Things
Machine learning
Medical diagnosis
Medical examination
Medical laboratories
Medical research
Medicine, Experimental
Microscopy
mobile device
Pandemics
Patients
platelets count
Point of care testing
rbc count
Registration
Severe acute respiratory syndrome coronavirus 2
wbc count
Brazil
mobile device
rbc count
fast cbc test
wbc count
POC hematology
platelets count
AI hematology
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Summary:The complete blood count (CBC) is a highly requested test that is generally restricted to centralized laboratories, which are limited by high cost, being maintenance-demanding, and requiring costly equipment. The Hilab System (HS) is a small, handheld hematological platform that uses microscopy and chromatography techniques, combined with machine learning (ML) and artificial intelligence (AI), to perform a CBC test. This platform uses ML and AI techniques to add higher accuracy and reliability to the results besides allowing for faster reporting. For clinical and flagging capability evaluation of the handheld device, the study analyzed 550 blood samples of patients from a reference institution for oncological diseases. The clinical analysis encompassed the data comparison between the Hilab System and a conventional hematological analyzer (Sysmex XE-2100) for all CBC analytes. The flagging capability study compared the microscopic findings from the Hilab System and the standard blood smear evaluation method. The study also assessed the sample collection source (venous or capillary) influences. The Pearson correlation, Student -test, Bland-Altman, and Passing-Bablok plot of analytes were calculated and are shown. Data from both methodologies were similar ( > 0.05; r ≥ 0.9 for most parameters) for all CBC analytes and flagging parameters. Venous and capillary samples did not differ statistically ( > 0.05). The study indicates that the Hilab System provides humanized blood collection associated with fast and accurate data, essential features for patient wellbeing and quick physician decision making.
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ISSN:2075-4418
2075-4418
DOI:10.3390/diagnostics13101695