AIMC Topic: Patient Care Management
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Understanding health management and safety decisions using signal processing and machine learning.
BMC medical research methodology
Jun 13, 2019
BACKGROUND: Small group research in healthcare is important because it deals with interaction and decision-making processes that can help to identify and improve safer patient treatment and care. However, the number of studies is limited due to time-...
Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Recent studies documented the importance of individuality and heterogeneity in care planning. In practice, varying behavioral responses are revealed in patients' care management (CM) records. However, today's care programs are structured around popul...
A Multi-Task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Monitoring the future health status of patients from the historical Electronic Health Record (EHR) is a core research topic in predictive healthcare. The most important challenges are to model the temporality of sequential EHR data and to interpret t...
Automated problem list generation and physicians perspective from a pilot study.
International journal of medical informatics
Jun 4, 2017
OBJECTIVE: An accurate, comprehensive and up-to-date problem list can help clinicians provide patient-centered care. Unfortunately, problem lists created and maintained in electronic health records by providers tend to be inaccurate, duplicative and ...
Knowledge as a Service at the Point of Care.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, ord...
Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System.
Journal of medical systems
Nov 21, 2015
In healthcare organizations, clinical workflows are executed by interdisciplinary healthcare teams (IHTs) that operate in ways that are difficult to manage. Responding to a need to support such teams, we designed and developed the MET4 multi-agent sy...
Quantifying care coordination using natural language processing and domain-specific ontology.
Journal of the American Medical Informatics Association : JAMIA
Oct 16, 2014
OBJECTIVE: This research identifies specific care coordination activities used by Aging in Place (AIP) nurse care coordinators and home healthcare (HHC) nurses when coordinating care for older community-dwelling adults and suggests a method to quanti...
Artificial Intelligence and Case Management: Embracing Transformative Practice.
Professional case management
May 13, 2025
Precision population analytics: population management at the point-of-care.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2021
OBJECTIVE: To present clinicians at the point-of-care with real-world data on the effectiveness of various treatment options in a precision cohort of patients closely matched to the index patient.
Opportunities for machine learning to transform care for people with cystic fibrosis.
Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society
Jan 1, 2020
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