AI provides immense benefits in healthcare that you can unlock with expert help from Core BTS. Here’s all you should know:
![Key Takeaways:
AI-powered analytics can improve diagnosis accuracy, treatment effectiveness, and operational efficiency in healthcare settings.
However, there are implementation challenges. These include data security and privacy concerns, compatibility issues, and difficulty finding AI talent.
Luckily, experts from Core BTS can handle the technical details on your behalf.](https://corebts.com/wp-content/uploads/2024/06/4.2.6-1024x384.png)
Two words have become almost ubiquitous nowadays: artificial intelligence (AI). Discussions are rife about how AI could be the next big thing, even in healthcare, an industry not reputed for quickly adopting new technologies.
Perhaps what makes things different is the timing of AI. The technology comes at a critical juncture where many healthcare providers have shifted to digital. Vast medical datasets like electronic health records (EHRs) are now readily available across healthcare organizations. And AI promises to help glean meaningful insights from them for better care.
While it’s still early days, AI is already delivering tangible results in various healthcare aspects. This article explores the current use cases, implementation challenges, and how to leverage the technology with expert help from Core BTS.
Revolutionizing Patient Care with AI Analytics
One area to leverage AI is in medical imaging and disease diagnosis. Here, you can train algorithms on vast datasets to analyze microscopy images, X-rays, MRIs, CT scans, and other medical visuals. The algorithms can then learn to autonomously detect anomalies like fractures, tumors, or infections and aid diagnostics.
The benefit of AI-powered analysis in diagnosis is that it is accurate, fast, and consistent. It reduces the risk of misdiagnosis and lets you promptly deliver the right treatments to patients.
Beyond enhancing diagnosis, you can tap AI’s remarkable predictive capabilities for better medical outcomes. For instance, you can analyze patients’ historical data to identify risk factors and intervene when diseases are still in their early stages. This is especially crucial for conditions like cancer, where early treatment significantly impacts prognosis.
Another area where AI analytics delivers value is in personalized medicine. It allows you to leverage a patient’s medical history, genetic information, and other specific characteristics for tailored insights about the optimal treatment plan.
Finally, AI can help you manage back-office inefficiencies. As you’ve likely observed, menial administrative activities unrelated to patient care take up a significant chunk of physicians’ and nurse’s time. With AI automation, you can minimize or eliminate these time-consuming tasks and free healthcare staff to focus on their core competencies.
Challenges of Implementing AI in Healthcare:
Although AI holds a lot of promise in healthcare, adoption is not so easy. One of the main concerns of healthcare organizations when implementing AI solutions is data security and privacy. In other words, how do you safeguard data while leveraging it for AI applications in healthcare?
This is a valid concern because of the sensitive nature of the data in question and the increased sophistication and prevalence of cyberattacks. For context, ransomware attacks on healthcare institutions in 2023 were twice as much as those experienced in 2022. Plus, nefarious actors could use AI-powered malware to execute more complex attacks in the future. Luckily, organizations adopting AI can stay ahead of the cybersecurity curve through robust data governance strategies.
Integrating AI with legacy IT infrastructure is also a major sticking point for some. It is incredibly complex to implement game-changing AI upgrades on old technology. In many cases, compatibility issues will arise. Forward-thinking organizations find it’s better to modernize the infrastructure from the start.
Another potential challenge is the lack of qualified personnel with AI and healthcare data analysis expertise. Persistent labor shortages in the tech sector mean skilled workers are hard to come by. And when they do, it’s usually at a premium. Luckily, healthcare organizations with limited IT capabilities and budgets can tap a reliable partner to enjoy AI benefits without compromises. That’s where Core BTS comes in.
Unlocking the Potential of AI with Core BTS
Core BTS is a trusted digital transformation partner of leading healthcare organizations in the Continental U.S. seeking to implement AI solutions.
We understand better than most the high stakes involved in the healthcare industry. Organizations must routinely uphold high standards to ensure security and compliance. Nothing can be left to chance, ever.
That’s why we set the bar high. At the heart of Core BTS is an elite team of AI specialists and data scientists that relishes new challenges and is dedicated to delivering the best services possible. Over the years, these pros have helped top institutions successfully deploy and integrate custom AI solutions within their healthcare infrastructure.
That means that whether your organization:
- Has no idea how it wants to use AI and is looking for help developing a strategy.
- Understands how it wants to use AI but doesn’t know if it has the right resources, processes, people, or technology.
- Knows what it wants to do with AI but needs a reliable IT partner with the expertise to come in, roll up its sleeves, and do the work.
It can count on Core BTS’s pros to help chart a path forward.
Building an AI-Powered Future for Healthcare
Your healthcare organization can take these steps to leverage AI effectively:
- Identify areas where AI can add the most value: Pick the brains of your healthcare staff early in the design phase to determine which tasks would benefit the most from data analysis and automation. Where can you integrate AI to alleviate burnout and help them practice at the top of their licenses? Additionally, consider how AI can help you streamline patient journeys and cut costs.
- Develop a robust data governance strategy: Best practices dictate that you identify and govern critical data elements first. Clearly define data governance roles, responsibilities, policies, standards, and procedures to drive accountability. Don’t forget to define the key metrics you’ll use to measure the value of the data governance work. For example, data issues corrected for process improvement, data completeness and accuracy for data quality, and so on.
- Partner with an experienced AI solutions provider: Tap Core BTS to aid your transition. We can handle the technicalities of AI implementation, allowing your internal resources to focus on what they do best—deliver care.
The Future of Healthcare: Powered by AI Insights
AI implementation in healthcare is crucial, considering its immense long-term benefits. At the very least, it enhances the operational efficiency and productivity of healthcare staff. But it can also help deliver better patient outcomes through more accurate diagnoses, personalized treatment plans, and preventative care. Plus, data-driven decision-making significantly improves resource allocation and cost management. These are all solid business justifications to adopt AI.
Partner with Core BTS to unlock the transformative potential of AI and deliver exceptional patient care. Start with an AI readiness assessment to learn about your organization’s AI maturity level and how our experts can support your digital transformation.