The LIS acronym stands for Laboratory Information System. It is a software program used in clinical and research laboratories to manage and record laboratory procedures and outcomes. LIS features frequently include monitoring of patients and samples, ordering of tests and reporting of results, quality control, and inventory management (McCudden, Henderson, & Jackson, 2020).
Uses of LIS?
Automating procedures like result reporting and inventory management, laboratory operations became more efficient. Lowering the possibility of human mistake and providing methods for quality control and quality assurance, test findings’ accuracy and quality were improved. Enabling adherence to regulatory standards like HIPAA, CLIA, and CAP. Integration with other healthcare information systems, including electronic medical records (EMRs) and image archiving and communication systems (PACS). Enabling access to vast amounts of laboratory data, facilitating data analysis and research (Forest, Rheault, & Dang-Vu, 1985).
What is the implication of AI as a medical technologist or in any job?
Medical technologists’ roles, among other aspects of the field of medical technology, are significantly impacted by AI. AI can help in diagnosing conditions, interpreting laboratory test data, and spotting patterns and trends that humans might overlook. By making earlier and more accurate diagnosis possible as well as more specialized and efficient therapies, this may enhance patient outcomes. The growing application of AI in healthcare also brings up ethical and legal issues, such as protecting patient data privacy and security and guaranteeing the objectivity and transparency of AI algorithms. AI can automate time-consuming or repetitive operations in any occupation, freeing up employees to concentrate on more difficult or imaginative jobs. It may also result in work displacement or changes to employment needs, but it can also offer fresh perspectives and abilities (Ahuja, 2019).
References:
Ahuja, A. S. (2019). The impact of artificial intelligence in medicine on the future role of the physician. PeerJ, 7(10). https://doi.org/10.7717/PEERJ.7702
Forest, J. C., Rheault, C., & Dang-Vu, T. K. (1985). The Laboratory Information System (LIS): I-Application to the clinical chemistry laboratory. Clinical Biochemistry, 18(2), 78–84. https://doi.org/10.1016/S0009-9120(85)80085-0
McCudden, C. R., Henderson, M. P. A., & Jackson, B. R. (2020). Laboratory information management. Contemporary Practice in Clinical Chemistry, 301–321. https://doi.org/10.1016/B978-0-12-815499-1.00018-1
What is LIS?
The LIS acronym stands for Laboratory Information System. It is a software program used in clinical and research laboratories to manage and record laboratory procedures and outcomes. LIS features frequently include monitoring of patients and samples, ordering of tests and reporting of results, quality control, and inventory management (McCudden, Henderson, & Jackson, 2020).
Uses of LIS?
Automating procedures like result reporting and inventory management, laboratory operations became more efficient. Lowering the possibility of human mistake and providing methods for quality control and quality assurance, test findings’ accuracy and quality were improved. Enabling adherence to regulatory standards like HIPAA, CLIA, and CAP. Integration with other healthcare information systems, including electronic medical records (EMRs) and image archiving and communication systems (PACS). Enabling access to vast amounts of laboratory data, facilitating data analysis and research (Forest, Rheault, & Dang-Vu, 1985).
What is the implication of AI as a medical technologist or in any job?
Medical technologists’ roles, among other aspects of the field of medical technology, are significantly impacted by AI. AI can help in diagnosing conditions, interpreting laboratory test data, and spotting patterns and trends that humans might overlook. By making earlier and more accurate diagnosis possible as well as more specialized and efficient therapies, this may enhance patient outcomes. The growing application of AI in healthcare also brings up ethical and legal issues, such as protecting patient data privacy and security and guaranteeing the objectivity and transparency of AI algorithms. AI can automate time-consuming or repetitive operations in any occupation, freeing up employees to concentrate on more difficult or imaginative jobs. It may also result in work displacement or changes to employment needs, but it can also offer fresh perspectives and abilities (Ahuja, 2019).
References:
Ahuja, A. S. (2019). The impact of artificial intelligence in medicine on the future role of the physician. PeerJ, 7(10). https://doi.org/10.7717/PEERJ.7702
Forest, J. C., Rheault, C., & Dang-Vu, T. K. (1985). The Laboratory Information System (LIS): I-Application to the clinical chemistry laboratory. Clinical Biochemistry, 18(2), 78–84. https://doi.org/10.1016/S0009-9120(85)80085-0
McCudden, C. R., Henderson, M. P. A., & Jackson, B. R. (2020). Laboratory information management. Contemporary Practice in Clinical Chemistry, 301–321. https://doi.org/10.1016/B978-0-12-815499-1.00018-1
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Laboratory Information System (MT14CC Baldomero)
MT14-CC’s Docs ▸ Laboratory Information System (MT14CC Baldomero)
What is LIS?
The LIS acronym stands for Laboratory Information System. It is a software program used in clinical and research laboratories to manage and record laboratory procedures and outcomes. LIS features frequently include monitoring of patients and samples, ordering of tests and reporting of results, quality control, and inventory management (McCudden, Henderson, & Jackson, 2020).
Uses of LIS?
Automating procedures like result reporting and inventory management, laboratory operations became more efficient. Lowering the possibility of human mistake and providing methods for quality control and quality assurance, test findings’ accuracy and quality were improved. Enabling adherence to regulatory standards like HIPAA, CLIA, and CAP. Integration with other healthcare information systems, including electronic medical records (EMRs) and image archiving and communication systems (PACS). Enabling access to vast amounts of laboratory data, facilitating data analysis and research (Forest, Rheault, & Dang-Vu, 1985).
What is the implication of AI as a medical technologist or in any job?
Medical technologists’ roles, among other aspects of the field of medical technology, are significantly impacted by AI. AI can help in diagnosing conditions, interpreting laboratory test data, and spotting patterns and trends that humans might overlook. By making earlier and more accurate diagnosis possible as well as more specialized and efficient therapies, this may enhance patient outcomes. The growing application of AI in healthcare also brings up ethical and legal issues, such as protecting patient data privacy and security and guaranteeing the objectivity and transparency of AI algorithms. AI can automate time-consuming or repetitive operations in any occupation, freeing up employees to concentrate on more difficult or imaginative jobs. It may also result in work displacement or changes to employment needs, but it can also offer fresh perspectives and abilities (Ahuja, 2019).
References:
Ahuja, A. S. (2019). The impact of artificial intelligence in medicine on the future role of the physician. PeerJ, 7(10). https://doi.org/10.7717/PEERJ.7702
Forest, J. C., Rheault, C., & Dang-Vu, T. K. (1985). The Laboratory Information System (LIS): I-Application to the clinical chemistry laboratory. Clinical Biochemistry, 18(2), 78–84. https://doi.org/10.1016/S0009-9120(85)80085-0
McCudden, C. R., Henderson, M. P. A., & Jackson, B. R. (2020). Laboratory information management. Contemporary Practice in Clinical Chemistry, 301–321. https://doi.org/10.1016/B978-0-12-815499-1.00018-1
What is LIS?
The LIS acronym stands for Laboratory Information System. It is a software program used in clinical and research laboratories to manage and record laboratory procedures and outcomes. LIS features frequently include monitoring of patients and samples, ordering of tests and reporting of results, quality control, and inventory management (McCudden, Henderson, & Jackson, 2020).
Uses of LIS?
Automating procedures like result reporting and inventory management, laboratory operations became more efficient. Lowering the possibility of human mistake and providing methods for quality control and quality assurance, test findings’ accuracy and quality were improved. Enabling adherence to regulatory standards like HIPAA, CLIA, and CAP. Integration with other healthcare information systems, including electronic medical records (EMRs) and image archiving and communication systems (PACS). Enabling access to vast amounts of laboratory data, facilitating data analysis and research (Forest, Rheault, & Dang-Vu, 1985).
What is the implication of AI as a medical technologist or in any job?
Medical technologists’ roles, among other aspects of the field of medical technology, are significantly impacted by AI. AI can help in diagnosing conditions, interpreting laboratory test data, and spotting patterns and trends that humans might overlook. By making earlier and more accurate diagnosis possible as well as more specialized and efficient therapies, this may enhance patient outcomes. The growing application of AI in healthcare also brings up ethical and legal issues, such as protecting patient data privacy and security and guaranteeing the objectivity and transparency of AI algorithms. AI can automate time-consuming or repetitive operations in any occupation, freeing up employees to concentrate on more difficult or imaginative jobs. It may also result in work displacement or changes to employment needs, but it can also offer fresh perspectives and abilities (Ahuja, 2019).
References:
Ahuja, A. S. (2019). The impact of artificial intelligence in medicine on the future role of the physician. PeerJ, 7(10). https://doi.org/10.7717/PEERJ.7702
Forest, J. C., Rheault, C., & Dang-Vu, T. K. (1985). The Laboratory Information System (LIS): I-Application to the clinical chemistry laboratory. Clinical Biochemistry, 18(2), 78–84. https://doi.org/10.1016/S0009-9120(85)80085-0
McCudden, C. R., Henderson, M. P. A., & Jackson, B. R. (2020). Laboratory information management. Contemporary Practice in Clinical Chemistry, 301–321. https://doi.org/10.1016/B978-0-12-815499-1.00018-1
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