"The goal for healthcare technology is not and must not be a replacement of physician's diagnostic capabilities, but augment them" — Adam Tabriz, MD.

Artificial Intelligence; The Next Generation Instrument

Instrumentality Of The Artificial Intelligence (AI) Rests In The Vision And Mission Of Its End Users

Artificial Intelligence (AI) and machine learning possess great potential to solve endless intricate tasks in every industry domain and discipline. These include human resource (HR) crises to help physicians in diagnostic and therapeutic decision-making.

The utility of AI also comes with sundry controversies. One primary debate is whether Artificial Intelligence solves the human resources challenges in healthcare. And if so, how will it disrupt employment and clinical workforce dynamics?

Indeed, the sentiments vary around the utility of Artificial Intelligence when it comes to the human resources aspect of healthcare. Still, one can always remember to underscore other controversies associated with the AI concept.

How Will Artificial Intelligence Affect The Human Resources Market?

The potential of Artificial Intelligence in the HR space is multifaceted. From talent acquisition and employee onboarding to personnel development and recruiting, all comprise areas where AI can be of significant value.

Incorporating artificial intelligence will increase productivity, reduce overhead costs by eliminating repetitive tasks, and boost employee experience and retention rate.

Properly designed Artificial Intelligence technology helps employers better understand the needs of the staff by pinpointing the employees at risk of leaving their current job for another opportunity.

Artificial Intelligence will potentially disrupt the job market by replacing them, even though some may disagree with that assumption.

The proponents of Artificial Intelligence believe the jobs will not necessarily decrease, but instead, the need for a new set of skills will emerge.

Regardless, churning the skillset market will create a vacuum of talent requirements that still need to be recognized and will come to us once Artificial Intelligence solutions find their respective positions within industry domains.

How Will Artificial Intelligence Disrupt The Healthcare Workforce?

As the medical practice and healthcare delivery scheme become more complex, one should expect the rise of Artificial Intelligence Influence and utility within that domain.

The healthcare workforce, too, should see disruption at every angle of its operation. From diagnosing diseases and treatment recommendations to patient engagement, adherence, and administrative activities, all will see AI-related intervention. That, in return, will completely shift how a medical organization operates.

One should always continue to see it coming that the physician's role is becoming a full-scale data entry job, a phenomenon that physicians have started to take on with the emergence of Electronic Health Records. (EHR)

By taking over diagnostic workup by the AI machine, physicians will serve as the point of evaluation and care instead of as the masterminds behind the diagnostic and therapeutic workup.

Indeed, the healthcare system's road to Artificial Intelligence adaptation is fragile. That is if robots will work for physicians or the other way around. Today, we witness nothing other than "Physicians working like robots for robots."

Avoiding Untoward Outcome In Healthcare Delivery Requires a Robust Vision, Mission, And Procedures Around Artificial Intelligence

Artificial Intelligence is an instrument, just like a stethoscope for physicians and a scalpel for surgeons. Therefore, its utility must be well-defined, like other traditional medical tools. The only difference is that AI is more sophisticated and possesses numerous other utilities. If not differentiated, AI can have paradoxical consequences.

To sidestep unwanted upshots, physicians should not only claim the validation of the Artificial Intelligence market of their domain but also ensure that the algorithms and Machine Learning (ML) protocols are in synchrony with their vision and mission.

Recently, European Parliamentary Research Service published a report on tackling legal and ethical issues that could come with the emergence of Artificial Intelligence. The goal of this report was to outline areas in which AI offers a positive impact on the medical and healthcare field. The study pinpoints some of the most significant risks associated with Artificial Intelligence applications hoping to help find a resolution to contract those risks.

Some of the risks discussed in the European parliamentary report included:

1. Patient harm due to AI errors
2. Misuse of biomedical AI tools due to various factors, such as limited involvement of clinicians and stakeholders in the development and validation of AI systems, a lack of optimal training in medicine, and a lack of awareness and literacy among patients and the general public.
3. One can never overlook the peril of discrimination associated with indiscriminate medical AI applications and the perpetuation of inequities, including sex and race discrimination.
4. Lack of transparency concerning AI tool design, development, evaluation, and deployment. Along the spectrum of development and usage processes, AI decision-making itself.
5. Privacy and security
6. Gaps in accountability or "Algorithmic Accountability" are crucial in building trust in AI, Which is particularly vital in the case of healthcare and medical practice. Nonetheless, legal gaps continue to exist today globally. That is related to difficulty defining the roles and responsibilities due to the diversity of players in the healthcare Artificial Intelligence domain, which can leave clinicians and other healthcare in limbo.
7. Obstacles to implementation in healthcare include limited data quality, structure, and interoperability between various digital platforms. These include potential alterations in the physician-patient relationship owing to the introduction of AI medical agencies amid increased and poorly regulated admission to patient data, insufficiency of clinical and technical integration, and interoperability of Artificial Intelligence implemented with already existing clinical workflows and EHR systems.

Given what we know about the present and future of Artificial Intelligence solutions, we must acknowledge that the latter technology is moving faster than regulations can catch up with them.

Liberal healthcare exposure to human resources in healthcare is a slippery slope; if breached by illegitimate use, it can have devastating consequences. It will cost humans their careers, render physicians dependent on technology, and commit patients to one-size-fits-all medical care.

“The concept of robotics is mind-blowing so is the idea of machine learning to aid physicians to narrow down the differential diagnostic workup deep into its rarest constituency, but pure faith in the presumption of artificial intelligence will do physicians’ job is the matter of concern and misunderstanding of what is medicine, healthcare and the art of patient care are understandably worrisome” — Adam Tabriz, MD

References

1. McKinsey & Company. "Confronting AI Risks | McKinsey." www.mckinsey.com. Accessed August 17, 2022. https://www.mckinsey.com/business-functions/quantumblack/our-insights/confronting-the-risks-of-artificial-intelligence.
2. LogicPlum. "The Impact of AI in Human Resources — LogicPlum." logicplum.com, February 6, 2021. https://logicplum.com/the-impact-of-ai-in-human-resources/#:~:text=Implementing%20AI%20in%20HR%20will,will%20drive%20retention%20rates%20upwards.
3. HEC Paris. "AI in HR: How Is It Used and What Are the Risks? | HEC Paris." www.hec.edu, February 9, 2022. https://www.hec.edu/en/knowledge/articles/ai-hr-how-it-really-used-and-what-are-risks.
4. Built-In. "Will A Robot Take Your Job? AI & The Future Of Jobs | Built In." builtin.com, July 26, 2021. https://builtin.com/artificial-intelligence/ai-replacing-jobs-creating-jobs.
5. Davenport, Thomas, and Ravi Kalakota. "The Potential for Artificial Intelligence in Healthcare — PMC." PubMed Central (PMC). www.ncbi.nlm.nih.gov. Accessed August 17, 2022. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616181/.
6. Sharma, Mohit. "Impact of AI on Jobs in Healthcare." Impact of AI on Jobs in Healthcare. www.mindfieldsglobal.com. Accessed August 17, 2022. https://www.mindfieldsglobal.com/blog/impact-of-ai-on-jobs.
7. TABRIZ, Dr. ADAM. "Physicians Are Working Like Robots for Robots | by Dr. ADAM TABRIZ | Technology Hits | Medium." Medium. medium.com, July 20, 2022. https://readmedium.com/physicians-are-working-like-robots-for-robots-fc7e318d5333.
8. Meskó, Bertalan, Gergely Hetényi, and Zsuzsanna Győrffy. "Will Artificial Intelligence Solve the Human Resource Crisis in Healthcare? — BMC Health Services Research." BioMed Central. bmchealthservres.biomedcentral.com, July 13, 2018. https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-018-3359-4.
9. Dutta, Bhumika, and AnalyticsSteps. "What Is the Role of AI in Human Resource Management? | Analytics Steps." What is the Role of AI in Human Resource Management? | Analytics Steps. www.analyticssteps.com, October 16, 2021. https://www.analyticssteps.com/blogs/what-role-ai-human-resource-management.

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