In 2020, it was projected that the doubling time of medical knowledge was 0.2 years—just 73 days compared to 2010 when it was 3.5 years. Medical students who graduated in 2020 would experience four doublings in knowledge by the time they completed the minimum length of training (7 years) needed to practice medicine . This ever-increasing volume of data is part of a data revolution that is generated daily, encompassing electronic health records (EHRs), medical imaging, genomic information, wearables, and more. This data deluge presents both unprecedented opportunities and significant challenges for clinicians and allied professionals to assimilate and apply new information effectively. Fortunately, with the advent of Artificial Intelligence (AI), the healthcare industry is poised to not only manage this data deluge but also leverage it for improved patient care, research, and operational efficiency. AI has the potential to be one of the most beautiful and transformative developments in the field.
In this blog, we explore how AI is set to address the healthcare data challenge and revolutionize the industry.
1. Population Health
AI is being used to study large population datasets, helping healthcare systems better understand disease prevalence, risk factors, and treatment outcomes. As a result, preventative actions can be taken earlier and more effectively to ensure the health of our populations.
2. Personalized Medicine
The healthcare data deluge enables AI to create highly personalized engagement strategies, outreach, population health programs, treatment plans, and so much more. By consuming a patient’s interaction information and background, AI can develop a personalized engagement program for outreach and omni-channel experiences. By analyzing a patient's genetic, clinical, socioeconomic and lifestyle data, AI can recommend treatments tailored to the individual, leading to more effective and efficient healthcare delivery as prescribed by clinicians.
3. Efficient Data Management
AI can streamline the storage, retrieval, and management of vast amounts of healthcare data. Through advanced algorithms, AI helps categorize and index data for easy access and retrieval, reducing the time and effort required to search for critical patient information. AI can also monitor patient vitals continuously, and in real-time, enabling early intervention. This ensures that healthcare professionals have the right data at their fingertips when making decisions and helps drive better patient outcomes.
4. Predictive Analysis
AI excels at predictive analysis, which is invaluable in healthcare. It can forecast patient readmissions, patient scheduling cancellation behaviors, prior authorization approvals, and even patient deterioration. By identifying high-risk individuals, healthcare providers can intervene proactively, reducing hospitalizations and improving resource allocation.
5. Drug Discovery and Development
The vast datasets generated during clinical trials and research can be effectively analyzed by AI, expediting drug discovery and development. AI can identify potential drug candidates, predict drug interactions, and optimize clinical trial designs, reducing costs and time-to-market for new medications.
6. Clinician Support
AI can help reduce clinician burnout by being an always-on virtual assistant. AI can support clinicians by delivering encounter summaries or automating charting such as voice to text, and AI as an automated assistant can do lookups and other research including drug interactions, patient summaries and referral templates. By supporting clinicians in their daily work, AI can be a welcome tool to not only increase efficiency but to also reduce burnout on already overworked and often understaffed clinicians.
7. Administrative Efficiency
Beyond clinical applications, AI can improve healthcare administration. It can automate administrative tasks like appointment scheduling, billing, and insurance claims processing, reducing administrative burdens on healthcare providers and improving operational efficiency.
8. Data Security and Privacy
AI can play a crucial role in enhancing data security and privacy. It can identify and flag potential breaches or unauthorized access, ensuring that sensitive patient information remains confidential and protected.
Challenges and Considerations
While the promise of AI in addressing the healthcare data challenge is immense, there are several obstacles to overcome. These include concerns about prediction accuracy, data privacy, regulatory compliance (such as HIPAA in the United States and GDP in the EU), and the need for robust cybersecurity measures to protect patient data from cyberattacks. Additionally, it's crucial to acknowledge the challenges and ethical considerations that come with AI. These also include concerns about privacy and data security, but most importantly need to address equitable access to AI-based healthcare services and ensure that AI algorithms are unbiased and free from discrimination.
Many organizations struggle with how to address these issues and don’t have the necessary staff to put the right protections in place to ensure that they avoid the pitfalls and capitalize on the advantages. An organization like Coforge can not only address the concerns of privacy, data security and equity but can also work with your teams to build transformational solutions that take advantage of all that AI has to offer.
The healthcare data explosion is an inevitable consequence of the digital transformation of the industry. With the integration of AI, this massive data growth can be harnessed and turned into a powerful asset for improving patient care, advancing medical research, and optimizing healthcare operations. AI's ability to efficiently manage, analyze, and derive insights from vast datasets is transforming healthcare into a more personalized, efficient, and effective industry, ultimately benefiting patients and healthcare providers alike. As we embark on this journey into the era of AI in healthcare, it's important to recognize that we are just scratching the surface of its capabilities. AI in healthcare is not only the start of something beautiful but also the start of something profoundly impactful. With responsible development and a strong ethical framework, the beauty of AI in healthcare will continue to flourish, offering improved health and healthcare to countless individuals around the globe.
