u/TheTechPartner

Ran a quick LinkedIn poll to understand where professionals see the biggest impact for AI in healthcare.

Here is what came out:

• 57% chose patient data analysis
• 14% chose scheduling and admin work
• 14% chose reminders and follow-ups
• 14% chose clinical documentation

The biggest takeaway is that healthcare professionals seem to value AI more for improving decision-making and patient outcomes than just reducing manual work.

This result shows how important faster insights, pattern detection, and clinical support have become. At the same time, healthcare remains cautious about AI adoption because trust, accuracy, compliance, and accountability still matter more than speed alone.

Curious to hear from others: Where are you seeing the most practical AI adoption today?

Ran a quick LinkedIn poll to understand where professionals see the biggest impact for AI in healthcare.

Here is what came out:

• 57% chose patient data analysis
• 14% chose scheduling and admin work
• 14% chose reminders and follow-ups
• 14% chose clinical documentation

The biggest takeaway is that healthcare professionals seem to value AI more for improving decision-making and patient outcomes than just reducing manual work.

This result shows how important faster insights, pattern detection, and clinical support have become. At the same time, healthcare remains cautious about AI adoption because trust, accuracy, compliance, and accountability still matter more than speed alone.

Curious to hear from others working in healthcare or healthtech: Where are you seeing the most practical AI adoption today?

Ran a quick LinkedIn poll to understand where professionals see the biggest impact for AI in healthcare.

Here is what came out:

• 57% chose patient data analysis
• 14% chose scheduling and admin work
• 14% chose reminders and follow-ups
• 14% chose clinical documentation

The biggest takeaway is that healthcare professionals seem to value AI more for improving decision-making and patient outcomes than just reducing manual work.

This result shows how important faster insights, pattern detection, and clinical support have become. At the same time, healthcare remains cautious about AI adoption because trust, accuracy, compliance, and accountability still matter more than speed alone.

Curious to hear from others working in healthcare or healthtech: Where are you seeing the most practical AI adoption today?

Ran a quick poll on LinkedIn to understand how deeply AI is getting into day-to-day work.

Since LinkedIn is mostly professionals already exposed to these tools, the results are a bit skewed toward adoption. So the 0% no-AI usage is likely more about the audience than the real world.

Here is what came out:

• 50% use AI for some tasks, but still do most of the work themselves
• 38% say AI is central to their workflow and handles a lot of repetitive work
• 13% are still mostly manual with minimal AI use
• 0% reported no AI usage at all

So at least in this sample, everyone is using AI in some form.

Most teams seem to be layering AI into workflows step by step instead of going all in.

Curious how this looks beyond LinkedIn:

1. How much of your actual work is AI-driven?
2. What do you still not trust AI to handle?
3. Has it reduced your workload or just changed it?

Would be good to hear real experiences, not just hype.

Ran a quick poll on LinkedIn to understand how deeply AI is getting into day-to-day work.

Since LinkedIn is mostly professionals already exposed to these tools, the results are a bit skewed toward adoption. So the 0% no-AI usage is likely more about the audience than the real world.

Here is what came out:

• 50% use AI for some tasks, but still do most of the work themselves
• 38% say AI is central to their workflow and handles a lot of repetitive work
• 13% are still mostly manual with minimal AI use
• 0% reported no AI usage at all

So at least in this sample, everyone is using AI in some form.

Most teams seem to be layering AI into workflows step by step instead of going all in.

Curious how this looks beyond LinkedIn:

1. How much of your actual work is AI-driven?
2. What do you still not trust AI to handle?
3. Has it reduced your workload or just changed it?

Would be good to hear real experiences, not just hype.

Ran a quick poll on LinkedIn to understand how deeply AI is getting into day-to-day work.

Since LinkedIn is mostly professionals already exposed to these tools, the results are a bit skewed toward adoption. So the 0% no-AI usage is likely more about the audience than the real world.

Here is what came out:

• 50% use AI for some tasks, but still do most of the work themselves
• 38% say AI is central to their workflow and handles a lot of repetitive work
• 13% are still mostly manual with minimal AI use
• 0% reported no AI usage at all

So at least in this sample, everyone is using AI in some form.

Most teams seem to be layering AI into workflows step by step instead of going all in.

Curious how this looks beyond LinkedIn:

1. How much of your actual work is AI-driven?
2. What do you still not trust AI to handle?
3. Has it reduced your workload or just changed it?

Would be good to hear real experiences, not just hype.