Factors Affecting Clinical Coding Errors
Background: Coding errors lead to incorrect classification of diseases and thus severely affect health care planning and epidemiological research. Objectives: This study aimed to investigate the factors affecting clinical coding errors. Methods: This descriptive study was conducted in 2020 in 2 stages.
Farkhondeh Asadi +3 more
openaire +1 more source
From research to clinical settings: validation of the Affect in Play Scale \u2013 Preschool Brief Version in a sample of preschool and school-aged Italian children [PDF]
Affect in Play Scale-Preschool (APS-P) is one of the few standardized tools to measure pretend play. APS-P is an effective measure of symbolic play, able to detect both cognitive and affective dimensions which classically designated play in children, but
Delvecchio, Elisa +3 more
core +2 more sources
miR-28-5p is an intragenic miRNA which is underexpressed in several tumor types showing a tumor suppressor (TS) activity. Routinely, the known miR-28-5p targets are validated in specific tumor contexts but it is unclear whether these targets are also ...
Milena Rizzo +5 more
doaj +1 more source
Semantic Integration of Cervical Cancer Data Repositories to Facilitate Multicenter Association Studies: The ASSIST Approach [PDF]
The current work addresses the unifi cation of Electronic Health Records related to cervical cancer into a single medical knowledge source, in the context of the EU-funded ASSIST research project.
Agorastos, Theodoros +8 more
core +2 more sources
Background: Invaluable information on patient functioning and the complex interactions that define it is recorded in free text portions of the Electronic Health Record (EHR).
Denis Newman-Griffis +7 more
doaj +1 more source
"There are too many, but never enough": qualitative case study investigating routine coding of clinical information in depression. [PDF]
We sought to understand how clinical information relating to the management of depression is routinely coded in different clinical settings and the perspectives of and implications for different stakeholders with a view to understanding how these may be ...
Aziz Sheikh +4 more
core +6 more sources
Automated Machine Learning for Healthcare and Clinical Notes Analysis
Machine learning (ML) has been slowly entering every aspect of our lives and its positive impact has been astonishing. To accelerate embedding ML in more applications and incorporating it in real-world scenarios, automated machine learning (AutoML) is ...
Akram Mustafa, Mostafa Rahimi Azghadi
doaj +1 more source
Developing and evaluating a lay health worker delivered implementation intervention to decrease engagement disparities in behavioural parent training: a mixed methods study protocol. [PDF]
IntroductionBehavioural parent training (BPT) programmes are effective in preventing and treating early-onset conduct problems and child maltreatment. Unfortunately, pervasive mental health service disparities continue to limit access to and engagement ...
Barnett, Miya +5 more
core +1 more source
Applications of the ACGT Master Ontology on Cancer [PDF]
In this paper we present applications of the ACGT Master Ontology (MO) which is a new terminology resource for a transnational network providing data exchange in oncology, emphasizing the integration of both clinical and molecular data.
A. Cali +13 more
core +3 more sources
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source

