AI and Video in Healthcare: Beyond Patient Care to Enhanced Operational Efficacy

Updated on October 24, 2023
artificial intelligence in healthcare

As healthcare pivots towards the integration of AI and video technologies, hospital administrations face the intricate challenge of merging innovation with trust. These technological advances promise operational efficiency, but not without invoking concerns about patient privacy. For administrators, understanding the broader implications of these tools is key; it translates not just to improved care but also to better resource management, financial savings, and augmented hospital capacities.

Operational Efficiency and Privacy: Can They Coexist?

The crux of the matter lies in understanding the importance of privacy in healthcare. It’s more than just a patient’s data; it’s their life, their stories, their vulnerabilities. The cornerstone of any therapeutic relationship is the trust that this data will be kept confidential. The integration of video and AI technologies, while incredibly promising, brings forth a myriad of privacy concerns that, if not addressed, can erode this trust.

However, from an administrative perspective, these technologies are not just about patient care; they’re about the very way hospitals operate. They promise reduced waiting times, more accurate diagnoses, and an overall better utilization of hospital resources. With stretched budgets and a constant push for efficiency, these benefits are too significant to overlook.

Understanding the Broader Costs and Benefits of Technology

The COVID-19 pandemic highlighted the flexibility offered by video technology. While the boon of connecting isolated patients with their families was evident, there’s another side to the story. Virtual consultations skyrocketed, allowing hospitals to manage patient loads more efficiently and reduce the risk of in-hospital transmissions. This operational advantage continued even as the pandemic waned, with many institutions realizing the financial and logistical benefits of such consultations.  

Yet in many cases, nurses sought to roll back video visits for patients’ families. Rather than being a callous desire to provide less access, it reflected that the technology deployed made nurses feel responsible for managing and supporting brittle systems. They saw it as taking away from patient care.

For administrators, the benefits of video during COVID were profound; it expanded access (providers from anywhere could help) but did not relieve the imbalance between rising patient acuity and limited available staff.  

However, understanding that computer vision and AI turn video into a sensor that can help better observe nearly everything about a patient over time allows a more strategic view of how the benefits could be exponentially expanded. In turn, this enables hospitals to increase attention to and visibility of patients without increasing travel nursing budgets.

A Partnership Approach with Care Providers

Yet, as these technologies surge forward, the human element cannot be left behind. Nurses and frontline care providers are not just end-users; they are critical stakeholders. Their resistance or hesitancy to adopt new technologies often stems from concerns about increased workloads, complexities, or concern for the patient.

While the role of nurses will remain critical to patient care, the organization of patient care in hospitals will change with AI that can fill care gaps by constantly observing every patient. Accelerating adoption, assuring patient care does not fall behind financial returns, and designing the system of the future will require partnership with nurses and the entire bedside care team. Their buy-in will ensure that virtual providers empowered by AI will fully support the bedside team and the patient.

Returning The Trust Equation

Internal reviews of vendor security practices are incredibly useful for larger systems. Yet they are no substitute for third-party audits and certifications (e.g. SOC2 Type II, HITRUST). For example, health systems do not have the capacity or skills to perform penetration testing as well as a third party that specializes in finding security vulnerabilities. In addition to point-in-time evaluation of risk, commitment to security must be part of a vendor’s culture, processes and operations. External security standards and audits help ensure this.

This technical trust must be paired with partnerships between the care team and the patient. Long-term success hinges on enabling the technology to help the patient directly. Using AI video solutions to provide seamless video access to patients by their loved ones; sharing relevant aspects of the AI data with them; and using the technology to execute and convey a culture of transparency will build long-term trust. Inevitably, this will encourage the growth and success of innovation and  be welcomed by patients more quickly and broadly.

In Conclusion

The future of healthcare is undoubtedly digital, with AI and video technologies playing pivotal roles. However, for hospital administrators, the challenge and opportunity lie in integrating these tools in a manner that augments operational efficiency without compromising patient trust. This delicate balance, achieved through collaboration, transparency, and a clear understanding of both the clinical and operational implications of technology, will define how fast healthcare institutions reach the technology promises of tomorrow.

Narrinder Singh is co founder and CEO at LookDeep Health
Narinder Singh
Narrinder Singh is co-founder and CEO at LookDeep Health.