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1.
Ann Biomed Eng ; 52(5): 1115-1118, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-37530906

RESUMO

Advancements in artificial intelligence (AI) provide many helpful tools for healthcare, one of which includes AI chatbots that use natural language processing to create humanlike, conversational dialog. These chatbots have general cognitive skills and are able to engage with clinicians and patients to discuss patients' health conditions and what they may be at risk for. While chatbot engines have access to a wide range of medical texts and research papers, they currently provide high-level, generic responses and are limited in their ability to provide diagnostic guidance and clinical advice to patients on an individual level. The essay discusses the use of retrieval-augmented generation (RAG), which can be used to improve the specificity of user-entered prompts and thereby enhance the detail in AI chatbot responses. By embedding more recent clinical data and trusted medical sources, such as clinical guidelines, into the chatbot models, AI chatbots can provide more patient-specific guidance, faster diagnoses and treatment recommendations, and greater improvement of patient outcomes.


Assuntos
Inteligência Artificial , Software , Humanos , Tomada de Decisão Clínica , Tecnologia
2.
Am J Geriatr Psychiatry ; 32(1): 45-54, 2024 01.
Artigo em Inglês | MEDLINE | ID: mdl-37634955

RESUMO

INTRODUCTION: Amyloid PET scans provide individuals with mild cognitive impairment (MCI) information about their risk of progressing to Alzheimer's dementia (AD). Given the wide-ranging implications of this information, best practice guidelines are needed to support researchers and clinicians disclosing these high-stakes test results. To inform the development of such guidelines, this analysis aims to describe questions and concerns raised during the disclosure of amyloid PET results in the context of MCI. METHODS: Qualitative description was performed to analyze (n = 34) transcripts of audio-recorded amyloid PET results disclosure sessions involving MCI care dyads. The analysis focused on characterizing the frequency and nature of questions raised during an open question-and-answer (Q&A) period following the return of scan results using a standardized protocol. RESULTS: Nearly all (n = 32/34) dyads posed questions during Q&A. Questions fell within six main categories with the most common being requests for clarification regarding AD/MCI, and next steps given the result. Questions were interspersed with comments reflecting the need for emotional support. Independently administered assessments of comprehension of results showed that, following the disclosure and Q&A, 31/32 participants with MCI and 31/31 care partners scored ≥4 on a 5-point scale. The number of questions asked by care partners during Q&A positively correlated with their level of comprehension (n = 31, Spearman's r = 0.370, p = 0.040). DISCUSSION: This analysis highlights the value of providing opportunities for patients and their family members to ask questions upon learning patients' brain amyloid status. Disclosing clinicians should be prepared to provide clarification, resources, and support to patients and families during the return of amyloid PET results.


Assuntos
Doença de Alzheimer , Disfunção Cognitiva , Humanos , Doença de Alzheimer/diagnóstico por imagem , Revelação , Amiloide/metabolismo , Disfunção Cognitiva/diagnóstico por imagem , Disfunção Cognitiva/psicologia , Encéfalo/metabolismo , Tomografia por Emissão de Pósitrons/métodos
3.
Geriatr Nurs ; 53: 130-134, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37540906

RESUMO

INTRODUCTION: Biomarker testing for Alzheimer's disease and related disorders (ADRD) brings new opportunities for nurses to foster shared decision-making by leading pre-test counseling (PTC) for patients and families. METHODS: Audio-recordings of 18 nurse-led PTC sessions were analyzed to characterize questions posed by patient and family members dyads considering whether to pursue amyloid positron emission tomography. RESULTS: Sessions lasted 20 to 75 minutes and generated rich discussion of the purpose and potential implications of amyloid imaging. Dyads posed questions regarding: basic neuroanatomy; the spectrum of normal cognitive aging to dementia; clinical phenotypes and pathological hallmarks of ADRD; secondary prevention of ADRD; and advance planning. In response, PTC facilitators provided disease-specific education, clarification of overt misconceptions, caregiver support, and emotion de-escalation. CONCLUSION: Nurses conducting PTC for AD biomarker testing should be equipped to answer questions about topics both directly and indirectly related to testing, and also provide emotional support.


Assuntos
Doença de Alzheimer , Disfunção Cognitiva , Humanos , Doença de Alzheimer/diagnóstico , Papel do Profissional de Enfermagem , Tomografia por Emissão de Pósitrons/métodos , Aconselhamento , Biomarcadores , Disfunção Cognitiva/psicologia
4.
Ann Biomed Eng ; 51(9): 1906-1909, 2023 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-37355478

RESUMO

The implementation of technology in healthcare has revolutionized patient-centered decision making by providing contextualized information about a patient's healthcare journey, leading to increased efficiency (Keyworth et al. in BMC Med Inform Decis Mak 18:93, 2018, https://doi.org/10.1186/s12911-018-0661-3 ). Artificial intelligence has been integrated within Electronic Health Records (EHR) to prompt screenings or diagnostic tests based on a patient's holistic health profile. While larger hospitals have already widely adopted these technologies, free clinics hold lower utilization of these advanced capability EHRs. The patient population at a free clinic faces a multitude of factors that limits their access to comprehensive care, thus requiring necessary efforts and measures to close the gap in healthcare disparities. Emerging Artificial Intelligence (AI) technology, such as OpenAI's ChatGPT, GPT-4, and other large language models (LLMs) have remarkable potential to improve patient care outcomes, promote health equity, and enhance comprehensive and holistic care in resource-limited settings. This paper aims to identify areas in which integrating these LLM AI advancements into free clinics operations can optimize and streamline healthcare delivery to underserved patient populations. This paper also identifies areas of improvements in GPT that are necessary to deliver those services.


Assuntos
Inteligência Artificial , Promoção da Saúde , Humanos , Hospitais , Tecnologia , Acessibilidade aos Serviços de Saúde
5.
Ambul Pediatr ; 3(2): 93-7, 2003.
Artigo em Inglês | MEDLINE | ID: mdl-12643782

RESUMO

OBJECTIVES: To determine if experienced clinical educators (CEs) can improve their teaching by incorporating 4 literature-based teaching methods into their instruction. METHODS: We trained 7 experienced CEs on the teaching methods during a monthly faculty development program. Each CE recorded use of these methods during 10 months on a personal digital assistant. We compared the CEs' teaching evaluations with those of nonparticipating faculty by analysis of variance at baseline, during the study period, and for 1 year after the study. RESULTS: Reported use of 2 teaching methods (priming and feedback) increased significantly over use at baseline; use of 2 other methods (teaching in the patient's presence and 1-2 focal teaching points) remained constant. Scores on the CEs' teaching evaluations were significantly higher during the study period on 1 item, whereas the comparison group showed no changes. The changes persisted during the follow-up period. CEs reported that the teaching methods focused the learner and teacher, making subsequent encounters more productive. They also found that the act of entering data daily prompted them to reflect on their teaching. CONCLUSIONS: Experienced teachers can be persuaded to incorporate new methods into their daily teaching. Reflection on teaching is enhanced with group support and daily reminders. With these interventions, teaching effectiveness of these experienced educators improved.


Assuntos
Docentes de Medicina/normas , Ensino/métodos , Feminino , Humanos , Masculino , Competência Profissional , Ensino/tendências
6.
Prim Care ; 30(4): 671-96, 2003 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-15024891

RESUMO

Postmenopausal hormone replacement therapy is helpful in relieving menopausal vasomotor symptoms and vaginal atrophy and can prevent osteoporosis; however, attendant risks include breast cancer, thromboembolism, gallbladder disease, stroke, CHD, dementia, and hypertriglyceridemia. Decision making must weigh these risks and benefits and also include potential benefits on mood, colorectal cancer prevention, and hip fracture reduction. Some areas, such as ovarian cancer risk and the impact of combination estrogen-progestin versus unopposed estrogen on risk, remain unclear. The physician and patient need to carefully assess, discuss, and monitor the individual's symptoms and risks when considering HT use. For those with contraindications or concerns about HT, there are alternative therapies of variable efficacy for vasomotor symptoms and vaginal atrophy.


Assuntos
Terapia de Reposição de Estrogênios , Doença de Alzheimer/prevenção & controle , Doenças Cardiovasculares/prevenção & controle , Neoplasias Colorretais/prevenção & controle , Doença das Coronárias/prevenção & controle , Diabetes Mellitus/prevenção & controle , Terapia de Reposição de Estrogênios/efeitos adversos , Humanos , Hiperlipidemias/prevenção & controle , Neoplasias/etiologia , Osteoporose Pós-Menopausa/prevenção & controle , Acidente Vascular Cerebral/prevenção & controle , Tromboembolia/etiologia , Infecções Urinárias/prevenção & controle , Sistema Urogenital/efeitos dos fármacos
7.
Postgrad Med ; 87(6): 77-81, 1990 May 01.
Artigo em Inglês | MEDLINE | ID: mdl-27433821
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