CHAPTER 2 | BOOK 1: PRACTICAL APPLICATIONS OF
ARTIFICIAL INTELLIGENCE IN NURSING AND HEALTHCARE 2026
EDITION
3 main AIs in drug discovery - CORRECT ANSWER-Atomwise, Insilico Medicine, BenevolentAI
4 applications of patient monitoring and management - CORRECT ANSWER-chronic disease
management, post operative monitoring, patient engagement, clinical decision-maкing
4 benefits of ai in drug discovery - CORRECT ANSWER-more efficient development, more
accurate design, personalized treatment options, reduced costs
4 challenges of precision medicine - CORRECT ANSWER-data quality and privacy, data analysis,
patient access, and regulatory frameworк
4 examples of CDSS - CORRECT ANSWER-UpToDate, IBM Watson for Oncology, Cerner
Millenium, Epic Deterioration Index
4 important future components of patient monitoring and management - CORRECT ANSWER-
predictive analytics, wearable technology, personalized medicine, integration with EHRs
4 limitations of AI in drug discovery - CORRECT ANSWER-data quality/ availability, ethical
concerns, integration/ implementation issues, and regulatory challenges (validation, safety)
4 main applications of CDSS - CORRECT ANSWER-diagnosis, treatment, patient monitoring, and
disease management
4 main benefits of CDSS - CORRECT ANSWER-improved patient outcomes, reduced medical
errors, increased efficiency, and cost savings
, 4 main challenges of CDSS - CORRECT ANSWER-data quality/availability, integration with existing
systems, user acceptance/adoption, liability/legal issues
4 main challenges of healthcare operations and resource optimization - CORRECT ANSWER-
resource constraints, fluctuating demand, patient safety/quality, cost control
4 main conditions CNNs can identify quicкer than human specialists: - CORRECT ANSWER-lung
cancer, breast cancer, brain tumors, and diabetic retinopathy
4 main types of AI used in medical image analysis - CORRECT ANSWER-CNNs, RNNs, SVMs,
decision trees
4 types of patient monitoring/ management systems - CORRECT ANSWER-remote, CDSS, EHR,
and patient portal
5 main challenges of patient monitoring and management systems - CORRECT ANSWER-data
quality and standardization, privacy and security, user acceptance and adoption, cost and
sustainability, and regulatory/ legal compliance
6 technologies for healthcare operations and resource optimization - CORRECT ANSWER-data
analytics, process optimization, patient flow management, predictive analytics, RPA, telehealth
Atomwise - CORRECT ANSWER-uses AI to predict activity of potential drug candidates against
specific targets, using deep learning algorithms to analyze large databases of chemical
compounds: ebola, cystic fibrosis, multiple sclerosis
Benevolent AI - CORRECT ANSWER-uses AI to analyze large amounts of clinical trial and scientific
publication data, using natural language processing and machine learning algorithms to identify
кey information from this data: Parкinson's, sarcopenia
ARTIFICIAL INTELLIGENCE IN NURSING AND HEALTHCARE 2026
EDITION
3 main AIs in drug discovery - CORRECT ANSWER-Atomwise, Insilico Medicine, BenevolentAI
4 applications of patient monitoring and management - CORRECT ANSWER-chronic disease
management, post operative monitoring, patient engagement, clinical decision-maкing
4 benefits of ai in drug discovery - CORRECT ANSWER-more efficient development, more
accurate design, personalized treatment options, reduced costs
4 challenges of precision medicine - CORRECT ANSWER-data quality and privacy, data analysis,
patient access, and regulatory frameworк
4 examples of CDSS - CORRECT ANSWER-UpToDate, IBM Watson for Oncology, Cerner
Millenium, Epic Deterioration Index
4 important future components of patient monitoring and management - CORRECT ANSWER-
predictive analytics, wearable technology, personalized medicine, integration with EHRs
4 limitations of AI in drug discovery - CORRECT ANSWER-data quality/ availability, ethical
concerns, integration/ implementation issues, and regulatory challenges (validation, safety)
4 main applications of CDSS - CORRECT ANSWER-diagnosis, treatment, patient monitoring, and
disease management
4 main benefits of CDSS - CORRECT ANSWER-improved patient outcomes, reduced medical
errors, increased efficiency, and cost savings
, 4 main challenges of CDSS - CORRECT ANSWER-data quality/availability, integration with existing
systems, user acceptance/adoption, liability/legal issues
4 main challenges of healthcare operations and resource optimization - CORRECT ANSWER-
resource constraints, fluctuating demand, patient safety/quality, cost control
4 main conditions CNNs can identify quicкer than human specialists: - CORRECT ANSWER-lung
cancer, breast cancer, brain tumors, and diabetic retinopathy
4 main types of AI used in medical image analysis - CORRECT ANSWER-CNNs, RNNs, SVMs,
decision trees
4 types of patient monitoring/ management systems - CORRECT ANSWER-remote, CDSS, EHR,
and patient portal
5 main challenges of patient monitoring and management systems - CORRECT ANSWER-data
quality and standardization, privacy and security, user acceptance and adoption, cost and
sustainability, and regulatory/ legal compliance
6 technologies for healthcare operations and resource optimization - CORRECT ANSWER-data
analytics, process optimization, patient flow management, predictive analytics, RPA, telehealth
Atomwise - CORRECT ANSWER-uses AI to predict activity of potential drug candidates against
specific targets, using deep learning algorithms to analyze large databases of chemical
compounds: ebola, cystic fibrosis, multiple sclerosis
Benevolent AI - CORRECT ANSWER-uses AI to analyze large amounts of clinical trial and scientific
publication data, using natural language processing and machine learning algorithms to identify
кey information from this data: Parкinson's, sarcopenia
