How AI Can Improve Outcomes In Clinical Home Care

CEO of Rialtes, a global business consulting and cloud-based property management solution company headquartered in Austin, TX.

Artificial intelligence (AI) is disrupting nearly every major industry, and healthcare is poised to become one of the most impacted fields. In fact, according to a Binariks report, the global market size for AI in healthcare is projected to reach $173.55 billion in 2029—over ten times its market size in 2022.

The rise of AI in healthcare coincides with increased efforts to focus on home care. From predicting medical events to sourcing cheaper alternatives to brand-name medications, the past few years have uncovered countless use cases for AI in home healthcare.

For home healthcare, AI’s analytical capabilities could help caregivers and providers respond faster to patients in need and even accelerate diagnostic processes. In some cases, the quick access to real-time data AI provides could mean the difference between life and death for a patient. In many other cases, AI could play a pivotal role in empowering patients to improve their well-being and enjoy more independence, particularly in aging populations.

Let’s explore some of the most important ways AI is shaping clinical home healthcare today.

AI In Optimizing Care Plans

The aftermath of a serious injury or diagnosis typically involves a long, complex plan for recovery. Such plans often involve around-the-clock monitoring, frequent doctor visits and meticulous home care instructions.

AI can make complex home care plans much easier to manage for patients, providers and caregivers. Generative AI can analyze critical patient data across disparate sources, from clinician summaries to medical records, and create ultra-personalized care recommendations. This instant analysis can save providers and caregivers hours of work every time a care plan is updated or adjusted based on new data.

Additionally, these plans can be tailored to patients’ habits and lifestyles, improving adherence to care plans.

Intelligent Health Monitoring

As innovations like the Internet of Things (IoT) and real-time data analytics are woven into the clinical home care space, the healthcare industry is seeing an uptick in intelligent monitoring systems. Using sensors, wearable devices and smart apps to gather data on patients’ vitals and movements, intelligent monitoring technologies can alert authorized caregivers to abnormalities that could indicate a medical emergency.

But apps and wearables only scratch the surface of AI’s potential in health monitoring. For instance, Stanford Medicine is partnering with On Lok, a senior healthcare organization, to improve care for elderly patients using intelligent technologies. In this joint research project, motion-detecting sensors and computer systems were placed strategically throughout elderly participants’ homes to monitor 17 clinically relevant activities. The goal of this project is to enable seniors to enjoy independence and improve their quality of life.

Automated Care Scheduling

When multiple parties become involved in a patient’s healthcare journey, scheduling in-office appointments, caretaker visits and virtual check-ins can become burdensome. Automated scheduling tools can make this process much simpler.

AI can streamline care management by automatically making doctor’s appointments and coordinating caregiver activities. Machine learning (ML) can enable scheduling systems to adapt to factors like evolving patient needs, changing appointment frequency, caregiver availability and more.

With several AI scheduling systems on the market, healthcare organizations can already explore many options that can allow them to take advantage of this emerging technology.

AI-Powered Healthcare Assistants

For patients without access to around-the-clock medical care, AI assistants can now cover some of the duties of an in-home nurse. Virtual nursing assistants are AI-powered tools—usually in the form of an app, chatbot or digital interface—that perform tasks that don’t require the expertise of a medical professional. For example, a patient with type 2 diabetes could ask a virtual nursing assistant common questions about blood sugar, physical symptoms, medications and more.

AI healthcare solutions can also monitor cardiac patient progress remotely to better provide a certain degree of continuous care. These innovations not only provide an added layer of security for patients but also help providers minimize costs associated with home care over time.

Conclusion

As AI’s footprint expands in the clinical home care space, it’s important to fully understand the risks and benefits of incorporating such a powerful technology in a field where clinical precision and data security are paramount.

Despite its promising use cases, AI is still an imperfect technology that, in many cases, should not operate independently of expert supervision. But by prioritizing the safe and responsible use of AI technologies in home care settings, providers can elevate their patients’ care experiences.

The future of healthcare technology is bright. As AI matures, the industry will likely see revolutionary advancements in the way home care is delivered and, as a result, much better patient outcomes.


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