I just wanted to share a quick example of how useful it is to have a language model (maybe multiple language models) permanently open alongside whatever you’re doing. It’s just a really simple way to make sense of what you’re busy with.
I’m reading Morrow et al’s Artificial intelligence technologies and compassion in healthcare and found the presentation of the study themes in the abstract awkward to read. This is how it appears in the article:
“Overarching themes related to the review questions were: (1) Developments and debates (7 themes) Concerns about AI ethics, healthcare jobs, and loss of empathy; Human-centered design of AI technologies for healthcare; Optimistic speculation AI technologies will address care gaps; Interrogation of what it means to be human and to care; Recognition of future potential for patient monitoring, virtual proximity, and access to healthcare; Calls for curricula development and healthcare professional education; Implementation of AI applications to enhance health and wellbeing of the healthcare workforce. (2) How AI technologies enhance compassion (10 themes) Empathetic awareness; Empathetic response and relational behavior; Communication skills; Health coaching; Therapeutic interventions; Moral development learning; Clinical knowledge and clinical assessment; Healthcare quality assessment; Therapeutic bond and therapeutic alliance; Providing health information and advice. (3) Gaps in knowledge (4 themes) Educational effectiveness of AI-assisted learning; Patient diversity and AI technologies; Implementation of AI technologies in education and practice settings; Safety and clinical effectiveness of AI technologies. (4) Key areas for development (3 themes) Enriching education, learning and clinical practice; Extending healing spaces; Enhancing healing relationships.”
Output from Bard
I copied that text into the prompt at Bard and just said: “Tabulate this”. This is what I got.
The integration of Google Search into Bard means that it also returned the URL of the original article as the source for the table.
Output from Claude
Claude gave me the output below, which is also more useful than the original text.
- Developments and debates (7 themes)
- Concerns about AI ethics, healthcare jobs, and loss of empathy
- Human-centered design of AI technologies for healthcare
- Optimistic speculation AI technologies will address care gaps
- Interrogation of what it means to be human and to care
- Recognition of future potential for patient monitoring, virtual proximity, and access to healthcare
- Calls for curricula development and healthcare professional education
- Implementation of AI applications to enhance health and wellbeing of the healthcare workforce
- How AI technologies enhance compassion (10 themes)
- Empathetic awareness
- Empathetic response and relational behavior
- Communication skills
- Health coaching
- Therapeutic interventions
- Moral development learning
- Clinical knowledge and clinical assessment
- Healthcare quality assessment
- Therapeutic bond and therapeutic alliance
- Providing health information and advice
- Gaps in knowledge (4 themes)
- Educational effectiveness of AI-assisted learning
- Patient diversity and AI technologies
- Implementation of AI technologies in education and practice settings
- Safety and clinical effectiveness of AI technologies
- Key areas for development (3 themes)
- Enriching education, learning and clinical practice
- Extending healing spaces
- Enhancing healing relationships