This study investigated the hospital discharge process for palliative care patients and their caregivers, focusing on its patient-centeredness, discharge readiness, and links to readmissions.
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Diagnosis in the Era of Digital Health and Artificial Intelligence: Proceedings of a Workshop—in Brief
How might AI, digital health technologies, and open notes transform diagnosis while addressing health disparities? Read highlights from the National Academies Forum on Advancing Diagnostic Excellence.
Guidelines for Patient-Centered Documentation in the Era of Open Notes: A Qualitative Study
This study by Vanka, et al, presents 10 guidelines for patient-centered medical documentation, emphasizing respect, clarity, and inclusivity in clinical notes. These principles aim to empower patients, improve trust, and enhance medical education on open notes practices.
OpenNotes Study Aims to Mitigate Scanxiety & Misinformation in Cancer Care
Led by OpenNotes, the study, “Mitigating Misinformation & Scanxiety for Cancer Patients,” focuses on reducing the stress and confusion patients may face when receiving medical test results electronically before having the opportunity to discuss them with a clinician.
OpenNotes and ASTP Study Reveals Pathways to Overcoming Barriers to Sharing Sensitive Social Determinants of Health Data
New research identifies promising strategies to enhance transparency, build trust, and standardize the collection of social determinants of health data.
Gaps in the coordination of care for people living with dementia
This study examines care coordination breakdowns reported by patients living with dementia (PLWD) or their care partners. Interventions to improve communication across different care teams are needed to minimize the harmful effects of gaps in care coordination.
Shared access to patient portals for older adults: Implications for privacy and digital health equity
This viewpoint article discusses challenges and opportunities of systematic engagement of care partners through shared access to the patient portal that have been amplified in the context of the COVID-19 outbreak and recent implementation of federal information blocking rules to promote information transparency alongside broader shifts toward care delivery innovation and population aging. We describe implementation considerations and the promise of granular, role-based privacy controls in addressing the nuanced and dynamic nature of individual information sharing preferences and fostering person- and family-centered care delivery.
Negative Patient Descriptors: Documenting Racial Bias In The Electronic Health Record
We found that Black patients at an urban academic medical center had disproportionately higher odds of negative patient descriptors appearing in the history and physical notes of their EHRs compared with White patients. This difference may indicate implicit racial bias not only among individual providers but also among the broader beliefs and attitudes maintained by the health care system. Such bias has the potential to stigmatize Black patients and possibly compromise their care, raising concerns about systemic racism in health care.
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