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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MDPI AG
2023-05-01
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Series: | Diagnostics |
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Online Access: | https://www.mdpi.com/2075-4418/13/10/1695 |
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author | Aléxia Thamara Gasparin Claudiane Isabel Franco Araujo Mônica Ribas Cardoso Patricia Schmitt Juliana Beker Godoy Eduarda Silva Reichert Maria Eduarda Pimenta Caroline Bretas Gonçalves Erika Bergamo Santiago Ivan Lucas Reis Silva Bruno de Paula Gaideski Milena Andreuzo Cardoso Fernanda D’Amico Silva Viviane da Rosa Sommer Luis Felipe Hartmann Carolina Rodrigues de Araujo Perazzoli João Samuel de Holanda Farias Olair Carlos Beltrame Nicole Winter Diego Rinaldi Pavesi Nicollete Silvia Nathalia Bueno Lopes João Victor Predebon Bernardo Montesanti Machado de Almeida Sérgio Renato Rogal Júnior Marcus Vinícius Mazega Figueredo |
author_facet | Aléxia Thamara Gasparin Claudiane Isabel Franco Araujo Mônica Ribas Cardoso Patricia Schmitt Juliana Beker Godoy Eduarda Silva Reichert Maria Eduarda Pimenta Caroline Bretas Gonçalves Erika Bergamo Santiago Ivan Lucas Reis Silva Bruno de Paula Gaideski Milena Andreuzo Cardoso Fernanda D’Amico Silva Viviane da Rosa Sommer Luis Felipe Hartmann Carolina Rodrigues de Araujo Perazzoli João Samuel de Holanda Farias Olair Carlos Beltrame Nicole Winter Diego Rinaldi Pavesi Nicollete Silvia Nathalia Bueno Lopes João Victor Predebon Bernardo Montesanti Machado de Almeida Sérgio Renato Rogal Júnior Marcus Vinícius Mazega Figueredo |
author_sort | Aléxia Thamara Gasparin |
collection | DOAJ |
description | 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 <i>t</i>-test, Bland–Altman, and Passing–Bablok plot of analytes were calculated and are shown. Data from both methodologies were similar (<i>p</i> > 0.05; r ≥ 0.9 for most parameters) for all CBC analytes and flagging parameters. Venous and capillary samples did not differ statistically (<i>p</i> > 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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id | doaj.art-6006d0fba7a64d91bc1c0c831577b839 |
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issn | 2075-4418 |
language | English |
last_indexed | 2024-03-11T03:48:40Z |
publishDate | 2023-05-01 |
publisher | MDPI AG |
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series | Diagnostics |
spelling | doaj.art-6006d0fba7a64d91bc1c0c831577b8392023-11-18T01:03:44ZengMDPI AGDiagnostics2075-44182023-05-011310169510.3390/diagnostics13101695Hilab System Device in an Oncological Hospital: A New Clinical Approach for Point of Care CBC Test, Supported by the Internet of Things and Machine LearningAléxia Thamara Gasparin0Claudiane Isabel Franco Araujo1Mônica Ribas Cardoso2Patricia Schmitt3Juliana Beker Godoy4Eduarda Silva Reichert5Maria Eduarda Pimenta6Caroline Bretas Gonçalves7Erika Bergamo Santiago8Ivan Lucas Reis Silva9Bruno de Paula Gaideski10Milena Andreuzo Cardoso11Fernanda D’Amico Silva12Viviane da Rosa Sommer13Luis Felipe Hartmann14Carolina Rodrigues de Araujo Perazzoli15João Samuel de Holanda Farias16Olair Carlos Beltrame17Nicole Winter18Diego Rinaldi Pavesi Nicollete19Silvia Nathalia Bueno Lopes20João Victor Predebon21Bernardo Montesanti Machado de Almeida22Sérgio Renato Rogal Júnior23Marcus Vinícius Mazega Figueredo24Department of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilErasto Gaertner Hospital, Curitiba 81520-060, PR, BrazilErasto Gaertner Hospital, Curitiba 81520-060, PR, BrazilErasto Gaertner Hospital, Curitiba 81520-060, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilDepartment of Research and Development, Hilab, Jose Altair Possebom, 800, Curitiba 81270-185, PR, BrazilThe 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 <i>t</i>-test, Bland–Altman, and Passing–Bablok plot of analytes were calculated and are shown. Data from both methodologies were similar (<i>p</i> > 0.05; r ≥ 0.9 for most parameters) for all CBC analytes and flagging parameters. Venous and capillary samples did not differ statistically (<i>p</i> > 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.https://www.mdpi.com/2075-4418/13/10/1695mobile devicerbc countwbc countplatelets countfast cbc testAI hematology |
spellingShingle | Aléxia Thamara Gasparin Claudiane Isabel Franco Araujo Mônica Ribas Cardoso Patricia Schmitt Juliana Beker Godoy Eduarda Silva Reichert Maria Eduarda Pimenta Caroline Bretas Gonçalves Erika Bergamo Santiago Ivan Lucas Reis Silva Bruno de Paula Gaideski Milena Andreuzo Cardoso Fernanda D’Amico Silva Viviane da Rosa Sommer Luis Felipe Hartmann Carolina Rodrigues de Araujo Perazzoli João Samuel de Holanda Farias Olair Carlos Beltrame Nicole Winter Diego Rinaldi Pavesi Nicollete Silvia Nathalia Bueno Lopes João Victor Predebon Bernardo Montesanti Machado de Almeida Sérgio Renato Rogal Júnior Marcus Vinícius Mazega Figueredo 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 Diagnostics mobile device rbc count wbc count platelets count fast cbc test AI hematology |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | mobile device rbc count wbc count platelets count fast cbc test AI hematology |
url | https://www.mdpi.com/2075-4418/13/10/1695 |
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