Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors
Pediatric patients, particularly in neonatal and pediatric intensive care units (NICUs and PICUs), are typically at an increased risk of fatal decompensation. That being said, any delay in treatment or minor errors in medication dosage can overcomplicate patient health. Under such an environment, cl...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/10/5/952 |
| _version_ | 1797499471625453568 |
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| author | Avishek Choudhury Estefania Urena |
| author_facet | Avishek Choudhury Estefania Urena |
| author_sort | Avishek Choudhury |
| collection | DOAJ |
| description | Pediatric patients, particularly in neonatal and pediatric intensive care units (NICUs and PICUs), are typically at an increased risk of fatal decompensation. That being said, any delay in treatment or minor errors in medication dosage can overcomplicate patient health. Under such an environment, clinicians are expected to quickly and effectively comprehend large volumes of medical information to diagnose and develop a treatment plan for any baby. The integration of Artificial Intelligence (AI) into the clinical workflow can be a potential solution to safeguard pediatric patients and augment the quality of care. However, before making AI an integral part of pediatric care, it is essential to evaluate the technology from a human factors perspective, ensuring its readiness (technology readiness level) and ecological validity. Addressing AI accountability is also critical to safeguarding clinicians and improving AI acceptance in the clinical workflow. This article summarizes the application of AI in NICU/PICU and consecutively identifies the existing flaws in AI (from clinicians’ standpoint), and proposes related recommendations, which, if addressed, can improve AIs’ readiness for a real clinical environment. |
| first_indexed | 2024-03-10T03:47:51Z |
| format | Article |
| id | doaj.art-f08c6dd0d43f41d0ae5be544d23cafe1 |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-10T03:47:51Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-f08c6dd0d43f41d0ae5be544d23cafe12023-11-23T11:15:38ZengMDPI AGHealthcare2227-90322022-05-0110595210.3390/healthcare10050952Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human FactorsAvishek Choudhury0Estefania Urena1Industrial and Management Systems Engineering, West Virginia University, Morgantown, WV 26506, USARegistered Nurse, Intensive Critical Unit, Lincoln Medical and Mental Health Centre, New York, NY 10451, USAPediatric patients, particularly in neonatal and pediatric intensive care units (NICUs and PICUs), are typically at an increased risk of fatal decompensation. That being said, any delay in treatment or minor errors in medication dosage can overcomplicate patient health. Under such an environment, clinicians are expected to quickly and effectively comprehend large volumes of medical information to diagnose and develop a treatment plan for any baby. The integration of Artificial Intelligence (AI) into the clinical workflow can be a potential solution to safeguard pediatric patients and augment the quality of care. However, before making AI an integral part of pediatric care, it is essential to evaluate the technology from a human factors perspective, ensuring its readiness (technology readiness level) and ecological validity. Addressing AI accountability is also critical to safeguarding clinicians and improving AI acceptance in the clinical workflow. This article summarizes the application of AI in NICU/PICU and consecutively identifies the existing flaws in AI (from clinicians’ standpoint), and proposes related recommendations, which, if addressed, can improve AIs’ readiness for a real clinical environment.https://www.mdpi.com/2227-9032/10/5/952Artificial Intelligencetechnology readiness levelaccountabilityreliabilityliabilityworkload |
| spellingShingle | Avishek Choudhury Estefania Urena Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors Healthcare Artificial Intelligence technology readiness level accountability reliability liability workload |
| title | Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors |
| title_full | Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors |
| title_fullStr | Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors |
| title_full_unstemmed | Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors |
| title_short | Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors |
| title_sort | artificial intelligence in nicu and picu a need for ecological validity accountability and human factors |
| topic | Artificial Intelligence technology readiness level accountability reliability liability workload |
| url | https://www.mdpi.com/2227-9032/10/5/952 |
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