Ensuring patient safety in the digital health era

Maninder Singh, Assistant Professor, T A Pai Management Institute (TAPMI), Manipal Academy of Higher Education explains that the integration of AI in healthcare must balance innovation with safety regulations and ethical consideration
Ensuring patient safety in the digital health era

In recent times of fast technological upgradation and advancement, the integration of artificial intelligence (AI), electronic health records, and the use of telemedicine is changing the healthcare industry globally. No doubt that these technological transformations are streamlining patient care, improving diagnostic accuracy, and increasing the accessibility of healthcare facilities. These technological advancements are changing the healthcare sector in developed and developing economies. The implications of these technological advancements are different for different countries but significantly impacting the patient’s safety. 

Healthcare AI: Bridging the urban-rural divide 

The rapid digitalisation and the use of technology in healthcare systems are increasing, and there is a growing concern to address the risks involved to ensure patient safety. AI is revolutionising diagnostics and treatment planning. AI aids healthcare delivery by analysing vast datasets to identify patterns and predict outcomes. However, there is a risk of algorithm biases as the training datasets of these AI tools might lack diversity. More patient data are from urban patients because there is more access to healthcare facilities in urban segments. Therefore, the historical data is more from urban settings rather than having more representation of rural patients. Thus, the data sets might represent the urban high-income population and fail to address the needs and disease patterns of underrepresented groups from low-income groups or rural areas. This bias can result in inaccurate diagnostics and poor recommendations for treating the underrepresented group of patients.

Using telemedicine in remote areas to navigate disparities

Improvements in digitalisation and Internet connectivity globally, have accelerated the use of telemedicine. Telemedicine was effective during the COVID-19 pandemic because of its easy and quick access. It provides easy, cost-effective consultation access to patients in remote areas without physical travel. However, the risk of misdiagnoses in the absence of comprehensive physical examinations during virtual consultations is an area of concern. 

Overcoming the challenges in electronic health records

Electronic health records (EHRs) are implemented to centralise and streamline patient data, but there is an interoperability problem. Also, Incomplete patient records due to errors and incompatible systems can impact patient safety by hindering informed decision-making. Additionally, the increased reliance on EHRs and digital systems has exposed healthcare data and systems to cybersecurity threats. Cyberattacks, such as the WannaCry ransomware incident, disrupted the UK’s National Health Service in the past. This underscores the critical need for robust cybersecurity measures to protect sensitive and personal patient information.

Further, new applications and software focus on healthcare automation to reduce human error. With over-reliance on automation comes the cost of impacting clinical judgment. It may unintentionally impair the new generation of medical practitioner’s capabilities of clinical judgment. 

To protect patient safety, a balance must be struck between utilising automation and maintaining professional skills. A diversified approach is needed. Regulations must control the ethical use of AI systems, and they should be trained on various datasets to guarantee inclusivity. EHR systems should include standardised protocols for data transfer to ensure smooth interoperability. Healthcare organisations must simultaneously implement cybersecurity frameworks, conduct routine audits, and train employees to identify and reduce cyber threats.

The value of the human touch in healthcare

An essential part of this change is the healthcare workforce. Healthcare professionals must be trained to gain the skills necessary to use new technology efficiently while being aware of their limitations and risks. For healthcare organisations to adjust to changing technological environments, a culture of safety, openness, and ongoing learning must be a priority. In both developing and developed countries, the emphasis must be on patient-centric care in this new digital and technological transformation phase. 

Human touch is integral to healthcare services, and technological tools should enhance rather than replace it. Developing creative, robust, and inclusive systems requires cooperation between policymakers, technologists, and healthcare professionals. By integrating safety and fairness into digital health efforts, we can fully utilise these innovations without sacrificing the core tenets of care.

The way forward of integrating AI, digital tools, and automation into healthcare is both exciting and challenging. Despite the existing problems, the way ahead should focus on a well-rounded strategy that balances innovation with strict safety regulations and ethical considerations. The focus on patient safety must not waver as the digital age transforms healthcare, guaranteeing that advancements benefit everyone everywhere around the globe.

AI in healthcaredigital healthHealthcareManinder SinghManipal Academy of Higher Educationpatient safetyT A Pai Management Institute
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