Cargando…

Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health

BACKGROUND: Care coordination programs have traditionally focused on medically complex patients, identifying patients that qualify by analyzing formatted clinical data and claims data. However, not all clinically relevant data reside in claims and formatted data. Recently, there has been increasing...

Descripción completa

Detalles Bibliográficos
Autores principales:	Oreskovic, Nicolas Michel, Maniates, Jennifer, Weilburg, Jeffrey, Choy, Garry
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2017
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575417/ https://www.ncbi.nlm.nih.gov/pubmed/28807893 http://dx.doi.org/10.2196/medinform.8240

Ejemplares similares

QT interval and antidepressant use: a cross sectional study of electronic health records
por: Castro, Victor M, et al.
Publicado: (2013)

Development of an electronic health record-based chronic kidney disease registry to promote population health management
por: Mendu, Mallika L., et al.
Publicado: (2019)

Optimization of the Electronic Health Record for Research
por: Murtha, Jacqueline A., et al.
Publicado: (2023)

Providers' Perceptions of the Effectiveness of Electronic Health Records in Identifying Opioid Misuse
por: Glenn, Jeffrey, et al.
Publicado: (2023)

77 METHODS FOR IDENTIFYING FILIPINO GENDER MINORITIES AND MENTAL HEALTH RISKS IN ELECTRONIC HEALTH RECORDS
por: Bumanglag, Charlene, et al.
Publicado: (2023)

Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records
por: Fern'andez-Guti'errez, Fabiola, et al.
Publicado: (2017)

Identifying modifiable comorbidities of schizophrenia by integrating electronic health records and polygenic risk
por: Vessels, Tess, et al.
Publicado: (2023)

Natural language processing to identify social determinants of health in Alzheimer's disease and related dementia from electronic health records
por: Wu, Wenbo, et al.
Publicado: (2023)

Psychosocial Determinants of Mental Health and Risk Behaviours in Adolescents
por: Carvalho, M., et al.
Publicado: (2014)

Identifying patients at risk of unplanned re-hospitalisation using statewide electronic health records
por: Brankovic, Aida, et al.
Publicado: (2022)

Electronic health records identify timely trends in childhood mental health conditions
por: Elia, Josephine, et al.
Publicado: (2023)

De-identifying free text of Japanese electronic health records
por: Kajiyama, Kohei, et al.
Publicado: (2020)

Identifying developmental stuttering and associated comorbidities in electronic health records and creating a phenome risk classifier
por: Pruett, Dillon G., et al.
Publicado: (2021)

499. Determining Risk of Clostridium difficile Using Electronic Health Record (EHR) Data
por: Drees, Marci, et al.
Publicado: (2018)

Integrating mHealth and Systems Science: A Combination Approach to Prevent and Treat Chronic Health Conditions
por: Oreskovic, Nicolas Michel, et al.
Publicado: (2015)

Electronic health records
por: Medellin, Constance
Publicado: (2013)

Electronic Health Record
por: Scarlat, Alexander
Publicado: (2012)

An electronic health record driven algorithm to identify incident antidepressant medication users
por: Bobo, William V, et al.
Publicado: (2014)

Identifying individual social risk factors using unstructured data in electronic health records and their relationship with adverse clinical outcomes
por: Rikard, S. Michaela, et al.
Publicado: (2022)

Identifying COPD in routinely collected electronic health records: a systematic scoping review
por: Sivakumaran, Shanya, et al.
Publicado: (2021)

The lean electronic health record: a journey toward optimized care
por: G Bercaw, Ronald, et al.
Publicado: (2017)

Optimizing the electronic health record to standardize administration and documentation of nutritional supplements
por: Citty, Sandra W., et al.
Publicado: (2017)

Improving Early Discharges With an Electronic Health Record Discharge Optimization Tool
por: Perry, Michael F., et al.
Publicado: (2020)

How to validate a diagnosis recorded in electronic health records
por: Nissen, Francis, et al.
Publicado: (2019)

An Algorithm That Identifies Coronary and Heart Failure Events in the Electronic Health Record
por: Kottke, Thomas E., et al.
Publicado: (2013)

An Algorithm That Identifies Coronary and Heart Failure Events In The Electronic Health Record
por: Jaranilla, Jawali, et al.
Publicado: (2013)

Safety huddles to proactively identify and address electronic health record safety
por: Menon, Shailaja, et al.
Publicado: (2017)

Learning to Identify Severe Maternal Morbidity from Electronic Health Records
por: Gao, Cheng, et al.
Publicado: (2019)

Identifying Family and Unpaid Caregivers in Electronic Health Records: Descriptive Analysis
por: Ma, Jessica E, et al.
Publicado: (2022)

Identifying monoclonal gammopathy of undetermined significance from electronic health records
por: Tanenbaum, Hilary C., et al.
Publicado: (2022)

Towards automated risk prediction of persistent pain: Exploring psychosocial factors from electronic health records after breast cancer surgery
por: Liukas, Tanja, et al.
Publicado: (2023)

Genome-wide study of resistant hypertension identified from electronic health records
por: Dumitrescu, Logan, et al.
Publicado: (2017)

Analysis of risk factors progression of preterm delivery using electronic health records
por: Safi, Zeineb, et al.
Publicado: (2022)

Mining Electronic Health Records using Linked Data
por: Odgers, David J., et al.
Publicado: (2015)

Relative accuracy of social and medical determinants of suicide in electronic health records
por: Alemi, Farrokh, et al.
Publicado: (2020)

Introduction to electronic health records
por: Schrom, John
Publicado: (2015)

Electronic health records for dummies
por: Williams, Trenor, et al.
Publicado: (2010)

Identifying primary care patients at risk for future diabetes and cardiovascular disease using electronic health records
por: Hivert, Marie-France, et al.
Publicado: (2009)

Validation of asthma recording in electronic health records: a systematic review
por: Nissen, Francis, et al.
Publicado: (2017)

Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder
por: Lingren, Todd, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_je6ogieme8h1nqdjqi9fgdvcbu