What AI can do for Healthcare : Benefits and Challenges
“The value of an idea lies in the using of it”
Artificial intelligence (AI) has brought a drastic change in almost every sector and healthcare digitalization is no exception to this. AI has become an integral support to improve the efficiency of healthcare systems. In last few decades, AI has been adopted globally and become like a second pair of eyes that never need to sleep. Most people are unaware that AI manifests itself in a variety of ways that affect daily life. AI is becoming increasingly prevalent in healthcare, particularly in diagnostics and clinical management. While there is concern that AI will outperform humans in tasks and abilities, and research has demonstrated that AI can assist in clinical decision making, to support opinion of healthcare professionals (HCPs), and improve the overall healthcare eﬃciency.
Artificial intelligence’s Growing Presence in Healthcare
There are various tiers of AI in healthcare. AI frequently makes use of a web-based databases, which provides access to huge number of clinical resources to medical professionals. Although, HCPs are well-educated in their domain and are updated with latest research, still AI greatly accelerates outcomes that may be aligned with their clinical experience. In contrast, many people are concerned that AI will eventually replace or reduce the need for HCPs, particularly in clinical settings. However, recent research and data indicate that, rather than reducing the need for HCPs, this tool will support and improve diagnostics, disease management and decision-making.
A patient may show different symptoms that may be correlated with various disease conditions and may cause a delay in diagnosis. Therefore, in such scenarios AI may benefit the HCPs by providing quantitative and qualitative data in response to input feedback and helps to improve efficiency and could enhance precision in early diagnosis, prognosis, patient management, and outcome prediction. AI feedback is based on the various databases and opinions of various researchers and clinicians. AI systems in healthcare operate in real-time, and the data is being continuously updated to increase the accuracy and relevance. Compiled data is a collection of numerous medical opinions, recordings, experimental images, clinical assessments, and demographics. The collection of this continually updated information has provided unlimited resources to HCPs to enhance their capabilities for clinical management.
Implication of AI in healthcare settings
With AI-powered applications becoming more sophisticated they will be increasingly used in patient care which will be a paradigm shift in healthcare with more emphasis in preventive care, early detection and proving treatment at initial stages. As a result of this shift, HCPs will need to develop a better understanding of data analytics to work with AI powered applications without any hassle. The impact of AI on healthcare workers will be far-reaching. It is very important to prepare now for the upcoming changes. Research and healthcare bodies should strategize that how AI can improve overall patient-care to make the healthcare systems more efficient. These organizations should also implement the strategies to retrain their healthcare workers to meet the future needs.
What Future holds for AI in Healthcare System
The future of AI in healthcare is interesting. AI-powered programs’ increasing sophistication will bring about significant changes in healthcare systems. This shift includes emphasizing preventive care and introducing early interventions. AI will even change the way HCPs interact with their patients. AI will focus more on the personalized care specific for each patient, as with AI one size doesn’t fit all. This will lead to improvement in health outcomes and a better utilization of healthcare resources. The potential of AI is unlimited. With sophisticated AI-powered applications, transformative changes will be visible in the healthcare systems in future. Presently, healthcare professionals are merely scratching the surface of AI’s potential. The future holds the promise of revealing the true extent of AI’s impact on healthcare.
Potential Applications of AI in Healthcare in Future
Digitized medical services presents various open doors for reduction of human errors, improvement of clinical results, tracking information over a duration, and so on. AI strategies from machine learning (ML) to deep learning can play a crucial role in various well-being related spaces, including working on new clinical frameworks, patient data and records, and treating different diseases. The AI methods are additionally most productive in recognizing the analysis of various diseases. Scientists have utilized different AI based procedures, for example, ML and deep-learning for diagnosis of skin, liver, heart, Alzheimer’s, etc. These are required to be detected early for a better prognosis.
AI is also assuming an undeniably significant part in patient engagement and adherence. By giving customized recommendations and regular reminders, AI empowered applications can assist patients for adherence to their therapies. This can improve the clinical outcomes and overall wellbeing. Along with improved patient engagement and adherence, AI can help to determine potential non-adherence issues from the beginning. By investigating a patient’s way of behaving, AI fueled applications can give insights to avoid the non-adherence. Utilization of AI for understanding the patient behaviors, commitment, and adherence, can help for the improvement of healthcare outcomes. This will make the medical services framework more proficient.
Despite the undisputed potential of AI in healthcare, its adoption has been sluggish due to limitations of data access, lack of knowledge of algorithms, and regulatory barriers. Due to these limitations, AI in healthcare system is still on the edge of its most elevated potential, with a scope of higher opportunities of growth as the technology exists to enhance and support the healthcare systems and is already being integrated into practice and workflows. As long as it is changing and evolving, it will adapt and move forward to give the healthcare system a dependable arrangement that can support in diagnosis, and decision making.
At i-Qode Digital Solutions, we collaborate with our clients and provide AI based solutions, using an operating model that relies on the domain expertise of our talent and products. We bring years of industry experience of crafting healthcare solutions around clinical research, pharmaceuticals, medical devices, biotech, food and nutrition sciences, consumer products and chemical.
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