SEO for Cancer Practices: Optimizing for ‘Oncology After-Hours AI’

The COVID-19 pandemic significantly changed healthcare delivery across the United States, especially through the adoption of telehealth and remote patient monitoring (RPM). The pandemic pushed both patients and providers towards virtual care solutions. This shift exposed weaknesses in traditional healthcare systems and created opportunities for a more connected and accessible model of care. Telehealth: An Overview Telehealth includes various remote healthcare services, such as video consultations, remote diagnostics, health education, and monitoring. Before the pandemic, the shift to telehealth was slow. However, COVID-19 led to a rapid increase in telehealth usage, with some institutions seeing numbers go from less than 1% of total visits to as much as 80% in just a month. The need to prioritize safety while addressing patients’ care needs drove healthcare providers to quickly adopt telehealth. The surge in Telehealth Usage: Key Statistics During the early pandemic, telehealth services had a 154% increase in visits during the last week of March 2020 compared to the same week in 2019. By April 2020, telehealth represented 80% of all medical consultations, becoming essential for continuity of care. Consumer demand for telehealth grew from 11% in 2019 to 46% during the pandemic, reflecting healthcare providers’ experiences nationwide. Telehealth has been crucial for managing chronic conditions that typically require regular in-person follow-ups. For conditions like diabetes, heart disease, and respiratory issues, studies have shown that remote patient monitoring not only supported ongoing management but also reduced unnecessary emergency room visits. Remote Patient Monitoring: A Lifeline for Chronic Patients Remote Patient Monitoring technology lets healthcare providers collect and analyze health data from patients at home. This is vital for managing chronic diseases, allowing for continuous monitoring of vital signs and assessing treatment effectiveness without requiring travel to healthcare facilities. The inclusion of RPM has benefited both patients and healthcare providers: Continuity of Care: RPM helps maintain oversight of patients’ health, enabling timely responses based on real-time data. Studies have indicated that RPM significantly improved outcomes for patients with conditions like asthma and COPD, leading to fewer symptoms and reduced healthcare utilization. Cost-Effectiveness: Data shows that RPM technologies have decreased hospitalization rates and costs, showing how remote monitoring can yield financial benefits for healthcare organizations. Efficient RPM implementation has improved disease management among patients without raising overall healthcare expenses. RPM in Action: A Closer Look at Efficacy Evidence from various studies highlights the advantages of RPM. A report noted a near 20-fold increase in RPM use during the pandemic as patients pursued remote care to manage their chronic conditions safely. Tools like sensors played a crucial role in monitoring patients’ health. One significant case study involved Propeller Health’s digital inhaler monitoring system, which enhanced medication adherence and identified risks for patients with asthma. Furthermore, data from health systems recorded engagement rates of up to 78.9% for patients enrolled in COVID-19 monitoring programs using RPM, showcasing its success during a critical healthcare period. These programs emphasized the importance of RPM and the role of technology in encouraging patient engagement and adherence to treatment plans. Overcoming Barriers and Addressing Equity in Telehealth Despite rapid advancements in telehealth and RPM, various barriers still hinder the fair distribution of these services. Issues like disparities in access to digital tools, connectivity challenges, and inconsistencies in regulations are especially problematic for underserved groups. Digital Divide: Studies showed that patients from higher Social Vulnerability Index (SVI) areas were less likely to use telehealth services. While telehealth visits increased in urban areas, those in tech-limited environments were hesitant to engage fully. Insurance and Reimbursement: Sustaining telehealth adoption necessitates ongoing financial support. Clear reimbursement policies can enhance understanding and improve service delivery efficiency as virtual care becomes part of healthcare providers’ workflows. Healthcare administrators should focus on advocating for policies that ensure equitable access and support for telehealth services, particularly in marginalized communities. The Role of AI and Workflow Automation in Telehealth Integration As healthcare managers look to the future, it’s important to consider how artificial intelligence (AI) and automation can facilitate the integration of telehealth and RPM services. These technologies can simplify administrative tasks and improve patient outcomes. AI Enhancements in Telehealth: Patient Engagement: AI-driven chatbots can help schedule appointments, answer basic patient questions, and guide them to the right care resources, reducing administrative burdens. Data Analysis: AI algorithms can analyze significant amounts of patient data from RPM devices, providing actionable information. This enables healthcare providers to identify health trends, optimize treatment plans, and tailor patient education based on specific health data. Operational Efficiency: Automating routine administrative tasks can streamline workflows within healthcare settings, allowing staff to focus more on patient care while maintaining telehealth services. By leveraging AI and automation, healthcare organizations can enhance internal efficiency and improve the overall patient experience. Future Directions: Sustaining Telehealth and RPM Beyond the Pandemic Looking forward, maintaining the progress made during the COVID-19 pandemic will require proactive involvement from healthcare administrators. As telehealth becomes a permanent part of healthcare delivery, strategic planning should emphasize: Ongoing Training: Continuous education and training for healthcare providers are necessary to optimize their use of telehealth technologies. Training sessions should focus on proficiency in RPM tools and virtual care delivery. Policy Advocacy: Advocating for favorable insurance reimbursement structures will support long-term integration of telehealth. Providers and administrators must communicate with lawmakers to ensure ongoing support for telehealth services. Patient Education: Informing patients about telehealth and RPM services will be vital for helping them take advantage of available care options and stay engaged in their treatment plans. Technological Advancements: Utilizing ongoing improvements in healthcare technology will enhance connectivity and accessibility. Tools should be user-friendly and tailored to meet diverse patient needs. Key Takeaways The COVID-19 pandemic has changed healthcare delivery in the United States. As telehealth and remote patient monitoring become more common, healthcare administrators and IT managers must utilize this opportunity to implement effective solutions that prioritize patient care. By adopting new technology and advocating for fair access and reimbursement policies, organizations can ensure that telehealth and RPM services thrive in the future. The actions taken

Ahead of Intelligent Health (13-14 September 2023, Basel, Switzerland), we asked Yurii Kryvoborodov, Head of AI & Data Consulting, Unicsoft, his thoughts on the future of AI in healthcare.   Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?   Generative AI is just a part of the disruptive impact of all AI tech on the healthcare industry. It allows to dramatically reduce time efforts, costs and chances of mistakes. Generative AI and LLMs are applied to automating clinical documentation, drug discovery, tailoring of treatment plans to individual patients, real-time clinical decision support and health monitoring, extracting valuable insights from unstructured clinical records, streamlining administrative tasks like billing and claims processing, providing instant access to comprehensive medical knowledge. And this list continues.

We sat with Benjamin von Deschwanden, Co-Founder and CPO at Acodis AG, to ask him his thoughts on the future of AI in healthcare.   Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?   I think that the strength of Generative AI lies in making huge amounts of information accessible without needing to manually sift through the source material. Being able to quickly answer any questions is going to be transformative for everyone working with increasingly bigger data sets.The challenge will be to ensure that the information we get by means of Generative AI is correct and complete – especially in healthcare – as the consequences of wrong data can be fatal. We at Acodis are actively working on practical applications of Generative AI inside our Intelligent Document Processing (IDP) Platform for Life Science and Pharma clients to drive efficiency and accelerate time to market, whilst controlling the risks.

Intelligent Health 2024 returns to Basel, Switzerland on 11th–12th September. We’ve got prominent speakers. An extensive programme. Groundbreaking advancements in #HealthTech. And much, much more. Our incredible 2024 programme will dive deeper than ever before. From sharing the latest innovation insights to exploring use cases of AI application in clinical settings from around the world. All through our industry-renowned talks, limitless networking opportunities, and much-loved, hands-on workshops. Read on to discover what themes await at the world’s largest AI and healthcare summit. 

We sat down with Margrietha H. (Greet) Vink, Erasmus MC’s Director of Research Development Office and Smart Health Tech Center, to ask her for her thoughts on the future of AI in healthcare.   Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?   The integration of Generative AI and LLMs into the healthcare industry holds the potential to revolutionise various aspects of patient care, from diagnostics and treatment to administrative tasks and drug development. However, this transformation will require careful consideration of ethical, legal, and practical challenges to ensure that the benefits are realised in a responsible and equitable manner.