Results 31 to 40 of about 1,719,331 (373)
Machine learning model to predict mental health crises from electronic health records
The timely identification of patients who are at risk of a mental health crisis can lead to improved outcomes and to the mitigation of burdens and costs.
Roger Garriga +6 more
semanticscholar +1 more source
Background: Electronic health records (EHRs), considered one of the crucial advances in technological health-care delivery, have made medical details easier to procure from anywhere.
Amina Sultan +4 more
doaj +1 more source
Objective Social determinants of health (SDoH) are nonclinical dispositions that impact patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can potentially improve diagnosis, treatment planning, and patient outcomes ...
Braja Gopal Patra +21 more
semanticscholar +1 more source
Improving continuity of care through the use of electronic records: A South African perspective
The fragmented nature of modern healthcare provision makes it increasingly difficult to achieve continuity of care. As a result, strong emphasis is placed on the informational dimension of continuity of care.
N. Mostert-Phipps, D. Pottas, M. Korpela
doaj +1 more source
Challenges and opportunities beyond structured data in analysis of electronic health records
Electronic health records (EHR) contain a lot of valuable information about individual patients and the whole population. Besides structured data, unstructured data in EHRs can provide extra, valuable information but the analytics processes are complex ...
Maryam Tayefi +6 more
semanticscholar +1 more source
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
The primary objective of implementing Electronic Health Records (EHRs) is to improve the management of patients’ health-related information. However, these records have also been extensively used for the secondary purpose of clinical research and to ...
Tabinda Sarwar +7 more
semanticscholar +1 more source
Background Healthcare organizations have begun to adopt personal health records (PHR) systems to engage patients, but little is known about factors associated with the adoption of PHR systems at an organizational level.
Byung Kwan Choi +5 more
doaj +1 more source
Synergistic drug combinations from electronic health records and gene expression. [PDF]
ObjectiveUsing electronic health records (EHRs) and biomolecular data, we sought to discover drug pairs with synergistic repurposing potential. EHRs provide real-world treatment and outcome patterns, while complementary biomolecular data, including ...
Chen, William +19 more
core +2 more sources
Machine learning approaches for electronic health records phenotyping: A methodical review
Objective: Accurate and rapid methods for phenotyping are a prerequisite to realizing the potential of electronic health records (EHRs) data for clinical and translational research.
Siyue Yang +4 more
semanticscholar +1 more source
The Requirements and Challenges in Using Personal Health Record
Patients apply the Personal Health Record (PHR) to access and use their record information and other medical resources. This study aimed to explain the concept, requirements, and challenges of PHR.
Mohammad Hosein Hayavi-Haghighi +2 more
doaj +1 more source

