GHOST JOBS & PHANTOM SCAMS: In Medicine and Finance

By Staff Reporters.

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A fake job or ghost job is a scam job posting for a non-existent or already filled position. A scam is a dishonest scheme to gain money or possessions from someone fraudulently, especially a complex or prolonged one.

Due to current economic conditions in 2025, there’s been a rise in scams related to job postings and financial relief offers, preying on people’s financial insecurities. Keep your wits about you and be wary of potential fraud in seemingly legitimate opportunities.

For example, an employer may post fake job opening listings for many reasons such as inflating statistics about their industries, protecting the company from discrimination lawsuits, fulfilling requirements by human-resources departments, identifying potentially promising recruits for future hiring, pacifying existing employees that the company is looking for extra help, or retaining desirable employees. They may also use this strategy to gather information regarding their competitors’ wages. And, there is a rising trend in employers promising remote work as “bait,” and it underscores the relative power of the employers in the job market.

GHOST NURSING: The 1982 Movie

A young woman nanny plagued with bad luck travels to Thailand to visit a friend. There, her friend suggests a visit to a sorcerer, which results in her adopting a child ghost/demon who begins to protect her, but matters soon go awry.

Impact on the Healthcare Field

This is not a 44 year old science-fiction movie. Medicine and the healthcare industry isn’t immune to the ghost job phantom trend. Some contingent labor or medical staffing agencies lack ethics and post jobs solely to bolster their database, without any intention of filling those roles. This deceptive practice misleads job seekers and wastes their time, further eroding trust in the hiring process.

If you are a nanny or caregiver, you may have your services listed on an online job site. While this is a great way to find work, it can also open you to ghost scams. One phone scam is to send you an offer of employment. The “employer” sends you a check, and asks you to send them some money to buy assistive care items needed for the job. However, the person you are talking to isn’t really interested in you. After you’ve sent the money, the check will bounce and the “employer” will ghost you and disappear. Not only do you not really have a job, you just sent money to a ghost scammer and will not be reimbursed.

Impact on the Finance Field

In finance, ghost jobs can appear for various reasons, such as companies wanting to gauge the labor market, fulfill internal posting policies, or maintain a pool of potential candidates. Consulting roles, including those in financial planning, have seen an increase in ghost jobs, with some firms keeping listings open despite slowing hiring activity. The IRS will never ghost call, but your bank might, which makes it harder to figure out if it’s the real deal; or a ghost scam. Plus, it makes sense that your bank would need to confirm your identity to protect your account. If your bank calls and asks you to confirm if transactions are legitimate, feel free to give a yes or no. But don’t give up any more information than that, says Adam Levin, founder of global identity protection and data risk services firm CyberScout and author of Swiped: How to Protect Yourself in a World Full of Scammers, Phishers, and Identity Thieves. Some scammers rattle off your credit card number and expiration date, then ask you to say your security code as confirmation, he says. Others will claim they froze your credit card because you might be a fraud victim, then ask for your Social Security number.

If someone claiming to be your accountant, insurance agent or financial advisor calls and says you have a computer problem with them, just say no and hang up. No one is ‘watching’ your computer for signs of a virus. And, those scammers won’t fix the problem—they’ll make it worse by installing malware or stealing your account information or even money.

Promoters of cryptocurrency and other investments use complex schemes, often enhanced through deepfake videos or AI-manipulated audio, to lend credibility. According to the FBI’s Internet Crime Complaint Center (IC3), victims reported an estimated $3.9 billion in losses from investment fraud in 2024. Promises of “guaranteed returns” or requests for money transfers via crypto wallets are warning signs.

Many targets lack experience in crypto markets, amplifying risk. Do thorough research, consult official resources (like SEC.gov), and use licensed platforms if investing. Treat “sure thing” tips and unsolicited offers as red flags.

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The Medical Executive-Post is a  news and information aggregator and social media professional network for medical and financial service professionals. Feel free to submit education content to the site as well as links, text posts, images, opinions and videos which are then voted up or down by other members. Comments and dialog are especially welcomed. Daily posts are organized by subject. ME-P administrators moderate the activity. Moderation may also conducted by community-specific moderators who are unpaid volunteers.

EDUCATION: Books

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ARTIFICIAL INTELLIGENCE: In the Banking Industry?

By Staff Reporters

SPONSOR: http://www.MarcinkoAssociates.com

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Artificial Intelligence (AI) is revolutionizing the banking industry by enhancing efficiency, security, and customer experience. This 500-word essay explores how AI is transforming banking operations and shaping the future of financial services.

Artificial Intelligence (AI) has emerged as a transformative force in the banking sector, reshaping traditional operations and introducing innovative solutions to age-old challenges. As financial institutions strive to remain competitive in a rapidly evolving digital landscape, AI offers tools that enhance efficiency, improve customer service, and bolster security.

One of the most visible applications of AI in banking is customer service automation. AI-powered chatbots and virtual assistants are now commonplace, handling routine inquiries, guiding users through transactions, and offering personalized financial advice. These systems operate 24/7, reducing wait times and freeing human agents to focus on complex issues. For example, banks like Bank of America and JPMorgan Chase have deployed AI-driven assistants that interact with millions of customers daily, providing seamless support and improving satisfaction.

AI also plays a crucial role in fraud detection and risk management. By analyzing vast amounts of transaction data in real time, AI systems can identify unusual patterns and flag potentially fraudulent activities. Machine learning algorithms continuously adapt to new threats, making fraud prevention more proactive and effective. This not only protects customers but also saves banks billions in potential losses.

In the realm of credit scoring and loan approvals, AI has introduced more nuanced and inclusive models. Traditional credit assessments often rely on limited data, excluding individuals with thin credit histories. AI, however, can evaluate alternative data sources—such as utility payments, social media behavior, and employment history—to generate more accurate credit profiles. This enables banks to extend services to underserved populations while minimizing default risks.

Operational efficiency is another area where AI shines. Through process automation, banks can streamline back-office functions like document verification, compliance checks, and data entry. Robotic Process Automation (RPA), powered by AI, reduces human error and accelerates workflows, leading to significant cost savings and improved accuracy.

Moreover, AI enhances personalized banking experiences. By analyzing customer behavior and preferences, AI systems can recommend tailored financial products, investment strategies, and budgeting tools. This level of personalization fosters deeper customer engagement and loyalty.

Despite its benefits, the integration of AI in banking is not without challenges. Data privacy concerns, regulatory compliance, and ethical considerations must be addressed to ensure responsible AI deployment. Banks must invest in robust governance frameworks and transparent algorithms to maintain trust and accountability.

Looking ahead, the role of AI in banking will only expand. Emerging technologies like natural language processing, predictive analytics, and AI-driven cybersecurity will further revolutionize the industry. As banks continue to embrace digital transformation, AI will be at the forefront, driving innovation and redefining the future of finance.

In conclusion, Artificial Intelligence is not just a technological upgrade for banks—it is a strategic imperative. By harnessing AI’s capabilities, financial institutions can deliver smarter, safer, and more customer-centric services, positioning themselves for long-term success in the digital age.

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SPEAKING: ME-P Editor Dr. David Edward Marcinko MBA MEd will be speaking and lecturing, signing and opining, teaching and preaching, storming and performing at many locations throughout the USA this year! His tour of witty and serious pontifications may be scheduled on a planned or ad-hoc basis; for public or private meetings and gatherings; formally, informally, or over lunch or dinner. All medical societies, financial advisory firms or Broker-Dealers are encouraged to submit an RFP for speaking engagements: CONTACT: Ann Miller RN MHA at MarcinkoAdvisors@outlook.com -OR- http://www.MarcinkoAssociates.com

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ECONOMICS OF INFORMATION: The Value and Impact of Knowledge

By Staff Reporters

SPONSOR: http://www.CertifiedMedicalPlanner.org

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The economics of information explores how knowledge—or the lack of it—affects decision-making, market behavior, and resource allocation. It reveals why perfect competition rarely exists and why information itself can be a powerful economic asset.

Economics of Information: Understanding the Value and Impact of Knowledge

In traditional economic models, markets are often assumed to operate under perfect information—where all participants have equal access to relevant data. However, in reality, information is often incomplete, asymmetric, or costly to obtain. The field known as economics of information emerged to address these discrepancies, fundamentally reshaping how economists understand markets, incentives, and efficiency.

One of the core concepts in this field is information asymmetry, where one party in a transaction possesses more or better information than the other. This imbalance can lead to adverse selection and moral hazard. For example, in the insurance market, individuals who know they are high-risk are more likely to seek coverage, while insurers may struggle to differentiate between high- and low-risk clients. Similarly, in lending, borrowers may have private knowledge about their ability to repay, which lenders cannot easily verify.

To mitigate these problems, economists have developed mechanisms such as signaling and screening. Signaling occurs when the informed party takes action to reveal their type—like a job applicant earning a degree to signal competence. Screening, on the other hand, involves the uninformed party designing tests or contracts to elicit information—such as offering different insurance packages to separate risk levels.

Another important area is the cost of acquiring information. Gathering data, analyzing trends, or verifying facts requires time and resources. This leads to decisions being made under uncertainty, where individuals rely on heuristics or limited data. The economics of information examines how these costs influence behavior, pricing, and market structure. For instance, consumers may not compare every available product due to search costs, allowing firms to maintain price dispersion.

The rise of digital technology has intensified the relevance of this field. In the age of big data, companies like Google and Amazon thrive by collecting and analyzing vast amounts of user information. This data allows them to personalize services, predict behavior, and gain competitive advantages. However, it also raises concerns about privacy, market power, and inequality—issues that economists of information are increasingly addressing.

Moreover, information goods—such as software, media, and research—have unique economic properties. They are often non-rivalrous and can be reproduced at near-zero marginal cost. This challenges traditional pricing models and calls for innovative approaches like freemium strategies, bundling, and subscription services.

In public policy, the economics of information plays a crucial role in designing regulations, transparency standards, and consumer protections. Governments must balance the need for open access to information with incentives for innovation and investment. For example, patent laws aim to encourage research by granting temporary monopolies, while disclosure requirements in finance promote market integrity.

In conclusion, the economics of information reveals that knowledge is not just a passive input but a dynamic force shaping economic outcomes. By understanding how information is produced, distributed, and used, economists can better explain real-world phenomena and design systems that promote fairness, efficiency, and innovation.

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