Monitoring needs for care and subjective quality of life (QoL) in patients with a severe mental illness (SMI) can be useful in clinical practice [ 1, 2].
Our data suggests that clinical care could be improved by considering quantitative neuromuscular monitoring for routine care.
Moreover, the Ghana study found that health workers perpetrated wrong practices hence additional training and monitoring for health care providers was implemented as a strategy to improve newborn care practices [ 31].
We found that implementation of indicator monitoring for HF care in Denmark has been associated with substantial improvements in the use of guideline recommended processes of care among patients registered in the national HF registry.
Monitoring for health care encounters in FES followed the same approach that was used to monitor infants in REST [ 15].
HIPAA: Health Insurance Portability and Accountability Act; MIMIC: Multi-Parameter Intelligent Monitoring for Intensive Care; PHI: Protected Health Information SNOMEDD: Systematized Nomenclature of Medicine; UMLS: Unified Medical Language System.
The Multi-parameter Intelligent Monitoring for Intensive Care II (MIMIC II) is a database of patients admitted to the Beth Israel Deaconess Medical Center ICU in Boston.
The Multi-parameter Intelligent Monitoring for Intensive Care (MIMIC II) database consists of >18,000 ICU patients admitted to the Beth Israel Deaconess Medical Center since 2003.
The objective of this study was to investigate whether continuous glucose monitoring for intensive care patients could be implemented using blood microdialysis (MD) as tight glycaemic control reduces mortality and morbidity of critically ill patients.
To be mentioned are the relatively small size of the patient sample and the use of rather simple instruments for measuring outcome, which may be more suitable for monitoring routine care than for a research project.
