The impact of eHealth on the quality and safety of health care: a systematic overview

AD Black, J Car, C Pagliari, C Anandan… - PLoS …, 2011 - journals.plos.org
Background There is considerable international interest in exploiting the potential of digital
solutions to enhance the quality and safety of health care. Implementations of transformative …

Unfractionated heparin versus low molecular weight heparins for avoiding heparin‐induced thrombocytopenia in postoperative patients

DR Junqueira, LM Zorzela… - Cochrane Database of …, 2017 - cochranelibrary.com
Background Heparin‐induced thrombocytopenia (HIT) is an adverse drug reaction
presenting as a prothrombotic disorder related to antibody‐mediated platelet activation. It is …

A review on systematic reviews of health information system studies

F Lau, C Kuziemsky, M Price… - Journal of the American …, 2010 - academic.oup.com
The purpose of this review is to consolidate existing evidence from published systematic
reviews on health information system (HIS) evaluation studies to inform HIS practice and …

The frustrating case of incident-reporting systems

KG Shojania - BMJ Quality & Safety, 2008 - qualitysafety.bmj.com
Even for those interested in patient safety and quality improvement, incidentreporting (IR)
systems often represent a source of frustration, rather than a useful tool for capturing …

[HTML][HTML] Clinical relation extraction toward drug safety surveillance using electronic health record narratives: classical learning versus deep learning

T Munkhdalai, F Liu, H Yu - JMIR public health and …, 2018 - publichealth.jmir.org
Background: Medication and adverse drug event (ADE) information extracted from electronic
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …

[HTML][HTML] Extraction of information related to adverse drug events from electronic health record notes: design of an end-to-end model based on deep learning

F Li, W Liu, H Yu - JMIR medical informatics, 2018 - medinform.jmir.org
Background: Pharmacovigilance and drug-safety surveillance are crucial for monitoring
adverse drug events (ADEs), but the main ADE-reporting systems such as Food and Drug …

[HTML][HTML] Clinical decision support systems-based interventions to improve medication outcomes: a systematic literature review on features and effects

L Shahmoradi, R Safdari, H Ahmadi… - Medical Journal of the …, 2021 - ncbi.nlm.nih.gov
Background: Clinical decision support systems (CDSSs) interventions were used to improve
the life quality and safety in patients and also to improve practitioner performance, especially …

Generalizability of machine learning methods in detecting adverse drug events from clinical narratives in electronic medical records

MM Zitu, S Zhang, DH Owen, C Chiang… - Frontiers in …, 2023 - frontiersin.org
We assessed the generalizability of machine learning methods using natural language
processing (NLP) techniques to detect adverse drug events (ADEs) from clinical narratives …

Computerised clinical decision support systems to improve medication safety in long-term care homes: a systematic review

KM Marasinghe - BMJ open, 2015 - bmjopen.bmj.com
Objectives Computerised clinical decision support systems (CCDSS) are used to improve
the quality of care in various healthcare settings. This systematic review evaluated the …

Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review

IAR Yasrebi-de Kom, DA Dongelmans… - Journal of the …, 2023 - academic.oup.com
Objective We conducted a systematic review to characterize and critically appraise
developed prediction models based on structured electronic health record (EHR) data for …