Assessing the State of Artificial Intelligence Awareness and Perception Among Healthcare Professionals in Bangladesh

Artificial intelligence (AI) is becoming an important part of healthcare systems around the world. While much attention has been given to AI use in advanced healthcare settings like in the United States, it is also useful to look at how AI is used and seen in developing places like Bangladesh. Knowing how aware and ready healthcare workers are for AI in Bangladesh can teach healthcare managers and IT staff in the U.S., where AI technology is growing fast in both clinical and office tasks.

This article shares results from a study in Bangladesh that looked at how healthcare workers and the public understand and use AI. It also compares these results with how AI is being used in healthcare in the United States, focusing on office work automation, improving workflows, and managing risks.

Awareness and Perception of AI in Healthcare: What the Study in Bangladesh Shows

In a survey of 399 people including healthcare workers and citizens in Bangladesh, researchers used structured questionnaires to collect data. They aimed to find out what influences people to accept and use AI in healthcare. Even though Bangladesh and the U.S. are very different in technology and infrastructure, many results are similar to challenges faced by U.S. healthcare managers.

Key Findings:

• Social Media’s Role in AI Readiness: Social media had a strong influence on how aware people are and how ready they feel to use AI. It helped educate and encourage both healthcare workers and the public about AI’s importance.
• Technology Awareness Helps: Knowing about technology made people more willing to adopt AI. Those who understand basic technology concepts were more open to using AI tools.
• Concerns About Risk Are Present but Not Strong: Worries about privacy and security had some effect on readiness for AI, but it was less powerful. This means people do worry about safety but these worries don’t stop most from being ready.
• Personal Willingness and Feeling at Risk Did Not Matter Much: Being open to new technology or feeling vulnerable to health risks did not have a big effect on whether people were ready for AI.

The study’s methods were reliable, which gives confidence in these results.

For policy makers, the study suggests that healthcare officials in Bangladesh need to create clear rules about privacy and regulation to build trust. There is also a big need for education to help people learn about AI and avoid wrong information. These issues are similar to what early AI adopters in the U.S. faced, where data security worries and lack of knowledge slowed the use of AI.

Relevance to Healthcare Administration in the United States

In the U.S., AI is already changing healthcare in many ways, such as diagnosing illnesses, scheduling patients, managing claims, and helping with medical decisions. Still, managers and IT staff in the U.S. face problems like getting their workforce to accept AI, following rules, and earning public trust. These concerns are reflected in the findings from Bangladesh.

• Using Communication Channels: Just like social media helped in Bangladesh, U.S. healthcare managers can use digital and social platforms to educate staff and patients about AI. Sharing accurate information and addressing fears about mistakes in automation are important steps.
• Technology Knowledge Among Staff: Office workers and managers in the U.S. need regular training not just on AI itself but also on related technologies like cloud computing and data analysis. Many places have limited AI use because workers do not feel comfortable with the technology.
• Managing Risks and Building Trust: In the U.S., laws about health data privacy, like HIPAA, add extra challenges for AI adoption. Lessons from Bangladesh point to the need for clear compliance and governance frameworks to keep patient data safe and build trust.

AI and Workflow Automation in Healthcare Settings

One useful way to use AI in healthcare is to automate simple routine office tasks. This includes scheduling appointments, patient check-ins, answering calls, and checking insurance. For example, Simbo AI provides AI phone automation to handle front-office calls. These tools help make the workflow smoother, reduce mistakes, and improve patient service.

Front-Office Automation and Its Impact:

• Lowering Workload: Office staff often have a lot of work, which can be tiring and cause mistakes. AI phone systems can handle regular patient calls, bookings, and reminders on their own. This allows staff to focus on harder tasks that need human help.
• Better Response and Accuracy: AI can answer calls all day and night, so patients do not have to wait or get missed. It also collects patient information carefully, lowering mistakes that can delay treatment.
• Saving Money and Using Resources Wisely: Automating simple office jobs helps reduce costs for staffing. It also lets clinics use their resources better, like giving office workers chances to help patients more directly.
• Helping with Rules and Data Management: When set up correctly, AI can help follow health laws by securely handling patient data, keeping records, and sending alerts for follow-ups.

Besides front-office tasks, AI is also used later in the workflow. It helps with clinical notes, staff scheduling, billing, and even predicting if patients will miss appointments or have emergencies. These uses improve how clinics work and patient satisfaction.

Addressing Barriers to AI Adoption Among Healthcare Administrators

Even with clear benefits, some people resist using AI.

• Low AI Knowledge: Many healthcare workers, especially office staff, don’t fully understand AI. This lack of knowledge causes doubt and resistance.
• Privacy and Security Fears: Worries about data theft or misuse remain big obstacles. Although U.S. laws require strong protections, following these rules can be hard and expensive.
• Fear of Losing Jobs: Some staff worry AI will replace them. It is important to show that AI is meant to help, not replace, workers.
• Lack of Training and Support: Without good training and ongoing help, using AI can be frustrating, which may cause people to stop using it.

U.S. healthcare leaders should use many methods to overcome these problems. These include education programs, clear privacy rules, honest communication, and testing AI in small steps before full use.

The Role of Policy and Regulation in AI Integration

Lessons from Bangladesh show that policies are needed to build trust in AI. In the U.S., new rules and standards will affect how AI is used in healthcare. Managers and IT staff must keep up with rules like FDA approvals for AI medical tools, HIPAA for data protection, and ethical guidelines for AI use.

Working with lawmakers and regulators helps healthcare groups follow rules and also take part in creating AI rules that protect patients and support new technology.

Moving Forward: Strategies for U.S. Healthcare Practice Administrators

Healthcare managers, owners, and IT workers in the U.S. can take important actions based on lessons from global AI studies:

• Increase AI knowledge among staff by including it in regular training and giving hands-on experience with AI tools.
• Use social media and digital platforms to share true facts about AI functions and benefits.
• Start small pilot projects with AI, like automated phone answering, appointment booking, or chatbots, to find issues and improve processes before wider use.
• Create clear privacy and security rules by working with legal experts and keeping patients informed about how their data is handled.
• Talk openly with staff to ease worries about AI replacing jobs and emphasize that AI supports their work and lets them do more meaningful tasks.
• Keep track of AI impact by measuring workflow efficiency, patient happiness, error rates, and worker feedback to guide improvements.

By knowing what affects AI readiness and use in different healthcare settings, U.S. healthcare managers can handle the challenges of adding AI better. The study from Bangladesh shows that awareness, education, and proper rules are important and apply to the U.S. too. Using AI to automate routine office tasks—such as those offered by Simbo AI—can improve operational flow and patient experience, making healthcare better overall.

Healthcare organizations that take smart steps to support AI use will be better able to use new technology and improve both office work and patient care.