The impact of eHealth on the quality and safety of health care: a systematic overview
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 …
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 …
presenting as a prothrombotic disorder related to antibody‐mediated platelet activation. It is …
A review on systematic reviews of health information system studies
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 …
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 …
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 …
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
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 …
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
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 …
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
We assessed the generalizability of machine learning methods using natural language
processing (NLP) techniques to detect adverse drug events (ADEs) from clinical narratives …
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 …
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 …
developed prediction models based on structured electronic health record (EHR) data for …