Laboratory tests for investigating anemia: From an expert system to artificial intelligence
Objective: To compare the laboratory tests conducted in real-life settings for patients with anemia with the expected prescriptions derived from an optimal checkup. Methods: A panel of experts formulated an “optimal laboratory test assessment'' specific to each anemia profile. A retrospect...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Practical Laboratory Medicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352551724000039 |
| _version_ | 1797303908432871424 |
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| author | Philippe Halfon Guillaume Penaranda Dan Ringwald Frederique Retornaz Nicolas Boissel Sylvain Bodard Jean Marc Feryn David Bensoussan Patrice Cacoub |
| author_facet | Philippe Halfon Guillaume Penaranda Dan Ringwald Frederique Retornaz Nicolas Boissel Sylvain Bodard Jean Marc Feryn David Bensoussan Patrice Cacoub |
| author_sort | Philippe Halfon |
| collection | DOAJ |
| description | Objective: To compare the laboratory tests conducted in real-life settings for patients with anemia with the expected prescriptions derived from an optimal checkup. Methods: A panel of experts formulated an “optimal laboratory test assessment'' specific to each anemia profile. A retrospective analysis was done of the laboratory tests conducted according to the type of anemia (microcytic, normocytic or macrocytic). Using an algorithmic system, the laboratory tests performed in real-life practice were compared with the recommendations suggested in the “optimal laboratory test assessment” and with seemingly “unnecessary” laboratory tests. Results: In the analysis of the “optimal laboratory test assessment”, of the 1179 patients with microcytic anemia, 269 (22.8%) had had one of the three tests recommended by the expert system, and only 33 (2.8%) had all three tests. For normocytic anemia, 1054 of 2313 patients (45.6%) had one of the eleven recommended tests, and none had all eleven. Of the 384 patients with macrocytic anemia, 196 (51%) had one of the four recommended tests, and none had all four. In the analysis of “unnecessary laboratory tests'', one lab test was unnecessarily done in 727/3876 patients (18.8%), i.e. 339 of 1179 (28.8%) microcytic, 171 of 2313 (7.4%) normocytic, and 217 of 384 (56.5 %) macrocytic anemias. Conclusion: Laboratory investigations of anemia remain imperfect as more than half of the cases did not receive the expected tests. Analyzing other diagnostic domains, the authors are currently developing an artificial intelligence system to assist physicians in enhancing the efficiency of their laboratory test prescriptions. |
| first_indexed | 2024-03-08T00:00:24Z |
| format | Article |
| id | doaj.art-06a48a39180941039736727462ed1e26 |
| institution | Directory Open Access Journal |
| issn | 2352-5517 |
| language | English |
| last_indexed | 2024-03-08T00:00:24Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Practical Laboratory Medicine |
| spelling | doaj.art-06a48a39180941039736727462ed1e262024-02-18T04:40:28ZengElsevierPractical Laboratory Medicine2352-55172024-03-0139e00357Laboratory tests for investigating anemia: From an expert system to artificial intelligencePhilippe Halfon0Guillaume Penaranda1Dan Ringwald2Frederique Retornaz3Nicolas Boissel4Sylvain Bodard5Jean Marc Feryn6David Bensoussan7Patrice Cacoub8Pôle de Médecine Interne et Maladies infectieuses Hôpital Européen, 13000, Marseille, France; Laboratoire Alphabio, 13000, Marseille, FranceLaboratoire Alphabio, 13000, Marseille, FranceDEEPA, 94130, Nogent, FrancePôle de Médecine Interne et Maladies infectieuses Hôpital Européen, 13000, Marseille, FranceAP-HP, Service d'hématologie, Hôpital St Louis, Paris, FranceUniversité Paris Cité, F-75006, Paris, France; AP-HP, Service d’Imagerie Adulte, Hôpital Universitaire Necker - Enfants Malades, F-75015, Paris, France; Sorbonne Université, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale, F-75006, Paris, FranceLaboratoire Alphabio, 13000, Marseille, FranceService de chirurgie vasculaire, Centre hospitalier, avenue des tamaris, 13100, Aix en Provence, FranceSorbonne Universités, UPMC Univ Paris 06, UMR 7211, and Inflammation-Immunopathology-Biotherapy Department (DHU i2B), F-75005, Paris, France; AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Department of Internal Medicine and Clinical Immunology, F-75013, Paris, France; Corresponding author. Groupe Hospitalier Pitié-Salpêtrière, Department of Internal Medicine and Clinical Immunology, 81 boulevard de l'hôpital. F-75013, Paris, France.Objective: To compare the laboratory tests conducted in real-life settings for patients with anemia with the expected prescriptions derived from an optimal checkup. Methods: A panel of experts formulated an “optimal laboratory test assessment'' specific to each anemia profile. A retrospective analysis was done of the laboratory tests conducted according to the type of anemia (microcytic, normocytic or macrocytic). Using an algorithmic system, the laboratory tests performed in real-life practice were compared with the recommendations suggested in the “optimal laboratory test assessment” and with seemingly “unnecessary” laboratory tests. Results: In the analysis of the “optimal laboratory test assessment”, of the 1179 patients with microcytic anemia, 269 (22.8%) had had one of the three tests recommended by the expert system, and only 33 (2.8%) had all three tests. For normocytic anemia, 1054 of 2313 patients (45.6%) had one of the eleven recommended tests, and none had all eleven. Of the 384 patients with macrocytic anemia, 196 (51%) had one of the four recommended tests, and none had all four. In the analysis of “unnecessary laboratory tests'', one lab test was unnecessarily done in 727/3876 patients (18.8%), i.e. 339 of 1179 (28.8%) microcytic, 171 of 2313 (7.4%) normocytic, and 217 of 384 (56.5 %) macrocytic anemias. Conclusion: Laboratory investigations of anemia remain imperfect as more than half of the cases did not receive the expected tests. Analyzing other diagnostic domains, the authors are currently developing an artificial intelligence system to assist physicians in enhancing the efficiency of their laboratory test prescriptions.http://www.sciencedirect.com/science/article/pii/S2352551724000039AnemiaLaboratory testsExpert systemArtificial intelligence |
| spellingShingle | Philippe Halfon Guillaume Penaranda Dan Ringwald Frederique Retornaz Nicolas Boissel Sylvain Bodard Jean Marc Feryn David Bensoussan Patrice Cacoub Laboratory tests for investigating anemia: From an expert system to artificial intelligence Practical Laboratory Medicine Anemia Laboratory tests Expert system Artificial intelligence |
| title | Laboratory tests for investigating anemia: From an expert system to artificial intelligence |
| title_full | Laboratory tests for investigating anemia: From an expert system to artificial intelligence |
| title_fullStr | Laboratory tests for investigating anemia: From an expert system to artificial intelligence |
| title_full_unstemmed | Laboratory tests for investigating anemia: From an expert system to artificial intelligence |
| title_short | Laboratory tests for investigating anemia: From an expert system to artificial intelligence |
| title_sort | laboratory tests for investigating anemia from an expert system to artificial intelligence |
| topic | Anemia Laboratory tests Expert system Artificial intelligence |
| url | http://www.sciencedirect.com/science/article/pii/S2352551724000039 |
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