An ever-increasing amount of data on a person\'s daily functioning is being collected, which holds information to revolutionize person-centered healthcare. However, the full potential of data on daily functioning cannot yet be exploited as it is mostly stored in an unstructured and inaccessible manner. The integration of these data, and thereby expedited knowledge discovery, is possible by the introduction of functionomics as a complementary \'omics\' initiative, embracing the advances in data science. Functionomics is the study of high-throughput data on a person\'s daily functioning, that can be operationalized with the International Classification of Functioning, Disability and Health (ICF).A prerequisite for making functionomics operational are the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. This paper illustrates a step by step application of the FAIR principles for making functionomics data machine readable and accessible, under strictly certified conditions, in a practical example. Establishing more FAIR functionomics data repositories, analyzed using a federated data infrastructure, enables new knowledge generation to improve health and person-centered healthcare. Together, as one allied health and healthcare research community, we need to consider to take up the here proposed methods.

Co-design provides a meaningful way to engage patients in research. However, there is limited practical guidance. We used our co-design project to identify strategies for other researchers. An ethnographic case study design was used. Data included participant observation of co-design meetings, meeting minutes, analytic fieldnotes, qualitative patient interviews, and research team member self-reflections. Additionally, we got external feedback. We analyzed data iteratively. Our team included 5 patients and 6 researchers. We identified 3 strategies to include patients in co-design: (1) Deliberately build the team, from recruiting patients to specifying roles. (2) Tailor the meeting format to thoughtfully use patients\' time and expertise. (3) Disrupt traditional hierarchies, to empower patients to actively participate. Researchers seeking to include patients as team members should consider: team composition and roles, leveraging meeting formats to optimize contributions and purposefully creating a culture of collaboration, so patient expertise informs the end product. Our work provides practical guidance for researchers to incorporate patient expertise in the co-design process and meaningfully involve them in their work.

The purposes were to assess the efficacy of AI-generated radiology reports in terms of report summary, patient-friendliness, and recommendations and to evaluate the consistent performance of report quality and accuracy, contributing to the advancement of radiology workflow. Total 685 spine MRI reports were retrieved from our hospital database. AI-generated radiology reports were generated in three formats: (1) summary reports, (2) patient-friendly reports, and (3) recommendations. The occurrence of artificial hallucinations was evaluated in the AI-generated reports. Two radiologists conducted qualitative and quantitative assessments considering the original report as a standard reference. Two non-physician raters assessed their understanding of the content of original and patient-friendly reports using a 5-point Likert scale. The scoring of the AI-generated radiology reports were overall high average scores across all three formats. The average comprehension score for the original report was 2.71 ± 0.73, while the score for the patient-friendly reports significantly increased to 4.69 ± 0.48 (p < 0.001). There were 1.12% artificial hallucinations and 7.40% potentially harmful translations. In conclusion, the potential benefits of using generative AI assistants to generate these reports include improved report quality, greater efficiency in radiology workflow for producing summaries, patient-centered reports, and recommendations, and a move toward patient-centered radiology.

OBJECTIVE: The objective was to investigate the effectiveness of a person-centred active rehabilitation programme on symptoms associated with suspected Chronic Traumatic Encephalopathy (CTE). This was accomplished by (1) assessing the effect that a person-centred active rehabilitation programme had on participant symptoms, and (2) exploring how temporal contextual factors affected the participants\' experience with, and perceived effectiveness of, the active rehabilitation programme.
METHODS: A twelve-month mixed-methods single case experimental research design was used with six cases (participants). Individual cases were involved in a 51-week study period including an initial interview and three-week baseline phase. Cases were then randomly allocated to one of two n-of-1 study designs (i.e., A-B, B-A, B-A, A-B or B-A, A-B, A-B, B-A) where A and B represent a non-intervention and intervention phase, respectively. Interviews were conducted regularly throughout the study whilst outcome measures were assessed at each follow-up. Analysis of the data included visual, statistical, and qualitative analysis.
RESULTS: Visual and statistical analysis of cognitive and executive function, and mindful attention, demonstrated trivial-to-large effects with the summary reflecting positive or unclear results. A mixed picture was observed for mood and behaviour with effects considered trivial-to-large, and the summary demonstrating positive, unclear and negative effects. Qualitative analysis indicated a perceived improvement in outcome measures such as memory, attention, anxiety, and emotional control despite mixed quantitative findings whilst a clear impact of contextual factors, such as COVID-19, the political atmosphere, exercise tolerance, programme progression, and motivation were evident during the intervention.
CONCLUSIONS: This study has provided primary-level evidence to suggest active rehabilitation as a potential intervention for the management of suspected CTE symptoms. This study has also demonstrated the benefit of a person-centred approach to both clinical research and practice, particularly by considering contextual factors for a better understanding of an intervention effect.

In a rural Japanese setting, this case report delves into managing a post-partum woman diagnosed with ankylosing spondyloarthritis (AS), showcasing the complexities of balancing effective pain relief with breastfeeding. The study highlights a multifaceted approach that incorporates medical treatment, psychosocial support, and comprehensive patient education, which are essential in rural healthcare where resources may be scarce. Initially managed with diclofenac due to its safer profile for breastfeeding, the patient\'s treatment was eventually escalated to adalimumab, aligning with improved circumstances regarding breastfeeding. This case emphasizes the critical role of holistic, patient-centered care in family medicine, particularly for managing maternal and child health chronic conditions. It illustrates how integrating mental health support, acknowledging patient fears, and educating families can significantly enhance patient care and outcomes. Through this approach, the report advocates for a broader application of family medicine principles to improve maternal and child health services in rural settings, demonstrating the importance of tailored healthcare strategies that consider patients\' medical and emotional needs.

Brain arteriovenous malformations (AVM) present complex treatment decisions, particularly for low-grade AVM where surgical resection is often considered the standard. This case report emphasizes the importance of patient preferences and cultural considerations in selecting endovascular embolization over traditional surgical approaches for Spetzler-Martin Grade I AVM management, highlighting the evolving practice of patient-centered care in neurointervention. A 30-year-old male presented with recurrent seizures, characterized by a sudden onset of headache followed by speech arrest, without any preceding medical history of neurological deficits. Initial physical examination revealed no focal neurological deficits. Non-contrast computed tomography, magnetic resonance imaging, and magnetic resonance angiography suggested an AVM involving the cortical-subcortical regions of the left frontal lobe, measuring approximately 1.7 × 2.6 × 1.5 cm, fed by the left middle cerebral artery M3 segment, and draining into the superior sagittal sinus. Spetzler-Martin Grade I classification was confirmed via digital subtraction angiography. Given the patient\'s strong preference against invasive procedures, driven by personal and cultural beliefs, endovascular embolization was selected as the treatment strategy. Post-embolization, the patient showed marked symptomatic improvement with no evidence of residual AVM on follow-up imaging, and no postprocedure complications were reported. This case highlights the importance of considering patient preferences in AVM treatment planning, illustrating that endovascular embolization can be an effective and less invasive alternative to surgery in selected patients, reinforcing the need for personalized, patient-centered approaches in neurointerventional care.

BACKGROUND: Patient portals, designed to give ready access to medical records, have led to important improvements in patient care. However, there is a downside: much of the information available on portals is not designed for lay people. Pathology reports are no exception. Access to complex reports often leaves patients confused, concerned and stressed. We conducted a systematic review to explore recommendations and guidelines designed to promote a patient centered approach to pathology reporting.
METHODS: In consultation with a research librarian, a search strategy was developed to identify literature regarding patient-centered pathology reports (PCPR). Terms such as \"pathology reports,\" \"patient-centered,\" and \"lay-terms\" were used. The PubMed, Embase and Scopus databases were searched during the first quarter of 2023. Studies were included if they were original research and in English, without date restrictions.
RESULTS: Of 1,053 articles identified, 17 underwent a full-text review. Only 5 studies (≈0.5%) met eligibility criteria: two randomized trials; two qualitative studies; a patient survey of perceived utility of potential interventions. A major theme that emerged from the patient survey/qualitative studies is the need for pathology reports to be in simple, non-medical language. Major themes of the quantitative studies were that patients preferred PCPRs, and patients who received PCPRs knew and recalled their cancer stage/grade better than the control group.
CONCLUSIONS: Pathology reports play a vital role in the decision-making process for patient care. Yet, they are beyond the comprehension of most patients. No framework or guidelines exist for generating reports that deploy accessible language. PCPRs should be a focus of future interventions to improve patient care.

Traumatic hemorrhagic shock is a common yet life-threatening occurrence across the United States and is typically managed with blood transfusions as the standard of care. However, providers caring for a Jehovah\'s Witness patient who refuses transfusions due to religious reasons face unique ethical challenges in upholding evidence-based shock resuscitation protocols while respecting the patient\'s autonomy and faith-based stance that strictly prohibits blood products. We present a complex clinical case of a 46-year-old Jehovah\'s Witness who developed severe hemorrhagic shock, partial amputation, and critical anemia after a traumatic 40-mile-per-hour motorcycle collision resulting in comminuted fractures and arterial disruption. Despite receiving emergent blood transfusions initially, further transfusions were declined once his identity as a practicing Jehovah\'s Witness was disclosed. His hemoglobin plunged to dangerously low levels of 4.6 g/dL before stabilizing to 5.3 g/dL with pharmaceutical alternatives including intravenous iron, high-dose erythropoietin, and phlebotomy minimization. Respecting patient convictions while delivering effective evidence-based shock management created significant ethical conflicts given the proven efficacy of blood transfusions. However, this complex case demonstrates that through meticulous medical and surgical care coordinated by a multi-disciplinary team applying customized non-transfusion techniques, traumatic hemorrhagic shock and life-threatening anemia can still achieve favorable outcomes without relying on transfusions when respecting faith-based refusal of blood products.

UNASSIGNED: Patients on hemodialysis have complex medical diagnoses and medication regimens, requiring access to numerous health services and consultation with various healthcare providers. While interprofessional collaboration can optimize care among hemodialysis patients, these patients commonly experience medication-related problems and frequent hospitalizations resulting from miscommunications and mismanagement of medications.
UNASSIGNED: This study aims to capture the lived experiences of patients on hemodialysis to reveal their medication management needs as they navigate ongoing care between various outpatient services.
UNASSIGNED: A qualitative methodology was used to explore the perspectives of hemodialysis patients. One-on-one, in-person, semi-structured interviews were conducted at an outpatient hemodialysis clinic located inside an urban teaching hospital. English-speaking adults 18 years and older who have been followed at the clinic for at least three months were selected through random, convenience sampling. Interviews were recorded and transcribed verbatim. Patients were recruited and data were collected iteratively and continued until data saturation was reached. Data was analyzed through the lens of the Picker Principles of Patient Centered Care using a general inductive approach.
UNASSIGNED: A total of nine interviews were conducted. Two major themes, medication management and care navigation, were identified. Though patients had a wealth of knowledge about their medications, and they were motivated to self-manage their medications to enhance their well-being, they experienced barriers with medication management. Patients further expressed challenges with navigating care and spoke of the importance of having good rapport with healthcare providers who are attentive to their needs.
UNASSIGNED: The results revealed a need for improved support for self-care and interprofessional collaboration to possibly reduce the burden of medications and care fragmentation experienced by patients and improve continuity of care for patients.

Background Clear communication of radiological findings is crucial for effective healthcare decision-making. However, radiological reports are often complex with technical terminology, making them challenging for non-radiology healthcare professionals and patients to comprehend. Large language models like ChatGPT (Chat Generative Pre-trained Transformer, by OpenAI, San Francisco, CA) offer a potential solution by translating intricate reports into simplified language. This study aimed to assess the capability of ChatGPT-3.5 in simplifying radiological reports to facilitate improved understanding by healthcare professionals and patients. Materials and methods Nine radiological reports were taken for this study spanning various imaging modalities and medical conditions. These reports were used to ask ChatGPT a set of seven questions (describe the procedure, mention the key findings, express in a simple language, suggestions for further investigation, need of further investigation, grammatical or typing errors, and translation into Hindi). A total of eight radiologists rated the generated content in detailing, summarizing, simplifying content and language, factual correctness, further investigation, grammatical errors, and translation to Hindi. Results The highest score was obtained for detailing the report (94.17% accuracy) and the lowest score was for drawing conclusions for the patient (85% accuracy); case-wise scores were similar (p-value = 0.97). The Hindi translation by ChatGPT was not suitable for patient communication. Conclusion The current free version of ChatGPT-3.5 was able to simplify radiological reports effectively, removing technical jargon while preserving essential diagnostic information. The free version adeptly simplifies radiological reports, enhancing accessibility for healthcare professionals and patients. Hence, it has the potential to enhance medical communication, facilitating informed decision-making by healthcare professionals and patients.