Publications by authors named "Djibril Camara"

Article Synopsis
  • - The Multiple Chronic Conditions (MCCs) Electronic Care Plan project seeks to create standardized care planning data specifically for individuals dealing with long COVID, using the HL7 FHIR standard to model data elements.
  • - A Technical Expert Panel (TEP) identified essential data points for long COVID management and created electronic exchange standards through a consensus-driven process.
  • - Establishing these data standards not only improves the collection of long COVID-related information but also supports various health initiatives, helping deliver more effective care and enhance patient outcomes.
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Background: People living with multiple chronic conditions (MCCs) face substantial challenges in planning and coordinating increasingly complex care. Family caregivers provide important assistance for people with MCCs but lack sufficient support. Caregiver apps have the potential to help by enhancing care coordination and planning among the health care team, including patients, caregivers, and clinicians.

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Background: Care plans are central to effective care delivery for people with multiple chronic conditions. But existing care plans-which typically are difficult to share across care settings and care team members-poorly serve people with multiple chronic conditions, who often receive care from numerous clinicians in multiple care settings. Comprehensive, shared electronic care (e-care) plans are dynamic electronic tools that facilitate care coordination and address the totality of health and social needs across care contexts.

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Objective: To review evidence regarding the use of Health Information Technology (health IT) interventions aimed at improving care for people living with multiple chronic conditions (PLWMCC) in order to identify critical knowledge gaps.

Data Sources: We searched MEDLINE, CINAHL, PsycINFO, EMBASE, Compendex, and IEEE Xplore databases for studies published in English between 2010 and 2020.

Study Design: We identified studies of health IT interventions for PLWMCC across three domains as follows: self-management support, care coordination, and algorithms to support clinical decision making.

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