The World Organization of Family Doctors (WONCA) developed the third edition of the () to support the shift from a medical perspective to a person-centered perspective in primary health care. The previous editions ( and ) allowed description of 3 important elements of health care encounters: the reason for the encounter, the diagnosis and/or health problem, and the process of care. The adds function-related information as a fourth element, thereby capturing most parts of the encounter in a single practical and concise classification. thus has the potential to give more insight on patients' activities and functioning, supporting physicians in shifting from a strict medical/disease-based approach to care to a more person-centered approach. The is also expanded with a new chapter for visits pertaining to immunizations and for coding of special screening examinations and public health promotion; in addition, it contains classes for programs related to reported conditions (eg, a cardiovascular program, a heart failure program) and can accommodate relevant national or regional classes. Classes are selected based on what is truly and frequently occurring in daily practice. Each class has its own codes. Less frequently used concepts pertaining to morbidity are captured as inclusions within the main classes. Implementation of the in an electronic health record allows provision of meaningful feedback to primary care, and supports the exchange of information within teams and between primary and secondary care. It also gives policy makers and funders insight into what is happening in primary care and thus has the potential to improve provision of care.
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http://dx.doi.org/10.1370/afm.2830 | DOI Listing |
Comput Biol Med
January 2025
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32610, United States; Department of Medicine, University of Florida, Gainesville, FL, 32610, United States; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, 32610, United States; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, 32610, United States. Electronic address:
Retinal image registration is essential for monitoring eye diseases and planning treatments, yet it remains challenging due to large deformations, minimal overlap, and varying image quality. To address these challenges, we propose RetinaRegNet, a multi-stage image registration model with zero-shot generalizability across multiple retinal imaging modalities. RetinaRegNet begins by extracting image features using a pretrained latent diffusion model.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Background: Although existing disease preparedness and response frameworks provide guidance about strengthening emergency response capacity, little attention is paid to health service continuity during emergency responses. During the 2014 Ebola outbreak, there were 11,325 reported deaths due to the Ebola virus and yet disruption in access to care caused more than 10,000 additional deaths due to measles, HIV/AIDS, tuberculosis, and malaria. Low- and middle-income countries account for the largest disease burden due to HIV, tuberculosis, and malaria and yet previous responses to health emergencies showed that HIV, tuberculosis, and malaria service delivery can be significantly disrupted.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Hospital Administration, Ramaiah Memorial Hospital, Bengaluru, Karnataka, India.
Background: Monitoring vital signs in hospitalized patients is crucial for evaluating their clinical condition. While early warning scores like the modified early warning score (MEWS) are typically calculated 3 to 4 times daily through spot checks, they might not promptly identify early deterioration. Leveraging technologies that provide continuous monitoring of vital signs, combined with an early warning system, has the potential to identify clinical deterioration sooner.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Institute of Nursing Science, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Background: Health care systems and the nursing profession worldwide are being transformed by technology and digitalization. Nurses acquire digital competence through their own experience in daily practice, but also from education and training; nursing education providers thus play an important role. While nursing education providers have some level of digital competence, there is a need for ongoing training and support for them to develop more advanced skills and effectively integrate technology into their teaching.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Vibrent Health, Inc, Fairfax, VA, United States.
Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).
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