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Accident – Death – Obituary News : : 1. AI in VTE prophylaxis
2. Healthcare AI perspectives on VTE management
Healthcare informaticians are predominantly male, white, and over 40 years old, with a majority having more than a decade of experience in informatics. Most are clinicians or data scientists, with a strong focus on AI/ML. They believe that AI/ML can positively impact patient care, regulatory compliance, and financial outcomes. Challenges include data quality, standardization, and provider acceptance. When it comes to managing blood clots, informaticians see potential in risk assessment, diagnosis, and treatment using AI/ML. Validation, bias testing, and transparency are key considerations for successful implementation. Clinicians are also open to AI/ML assistance in VTE management, emphasizing the need for system validation and clinician oversight.
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1. AI applications in VTE prevention and management
2. Healthcare informatics and AI in VTE care
Healthcare Informatician Survey Unveils Respondent Characteristics
In a recent survey conducted among healthcare informaticians, a detailed analysis of 101 respondents revealed some interesting demographic characteristics. The majority of respondents were over 40 years old (54.5%), male (62.0%), and white (70.1%). Among the respondents, the most common roles identified were clinicians (44.6%) and data scientists (36.6%). A significant portion of the respondents (54.5%) had been practicing in informatics for more than 10 years, indicating a wealth of experience in the field.
Clinician Survey Highlights Respondent Characteristics
On the other hand, a separate survey targeting clinicians in the US provided insights into 607 respondents. The majority of clinicians were 40 years old or younger (69.9%), female (55.7%), and white (68.2%). Physicians made up the largest proportion of respondents (70.7%), with a significant percentage being trainees (45.4%). The most common specialties among respondents were hospital medicine (52.1%) and hematology (20.8%).
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Insights into Healthcare Informaticians’ Experiences with AI/ML
Within the realm of AI and machine learning, most informaticians felt well-informed about the topic, with a majority having taken coursework or engaged in research on AI/ML. A significant number of informaticians reported working on deploying AI/ML systems within their organizations. This indicates a strong interest and involvement in leveraging advanced technologies for healthcare purposes.
Healthcare Informaticians’ Attitudes towards AI/ML
Overall, healthcare informaticians displayed positive attitudes towards the potential of AI/ML in patient care, regulatory compliance, and economic impact on healthcare organizations. While there was a general consensus on the benefits of AI/ML, there were also concerns raised about the need for independent vetting, standardization, and regulatory oversight in the implementation of these technologies.
Exploring Healthcare Informaticians’ Views on AI/ML for Blood Clot Management
Specifically focusing on the management of blood clots, informaticians expressed varying degrees of optimism regarding the use of AI/ML in risk stratification, radiologic accuracy, surveillance, diagnosis, and treatment. While there was recognition of the potential benefits, concerns around transparency, clinician adoption, and liability issues were also highlighted as barriers to successful implementation.
In conclusion, the surveys conducted among healthcare informaticians and clinicians shed light on the current landscape of AI/ML adoption in healthcare, showcasing both the opportunities and challenges associated with integrating advanced technologies into clinical practice.
