Revolutionizing Healthcare: How AI Can Broaden the Scope and Value of Hospital at Home (HaH) Programs
Scott Williams
Healthcare Strategy Consultant | Expert in Market Assessment and Competitive Intelligence | 20+ Years of Helping Leaders to Transform Healthcare Delivery and Insurance Systems
Introduction?
Hospital at Home (HaH) is an innovation that began almost 25 years ago, and was initially focused on treating less acute conditions like pneumonia. However, the scope of these programs has been evolving rapidly as experience and technology create new opportunities. As a healthcare strategist with over two decades of experience, I’m excited to explore how AI and related technologies might further broaden HaH patient selection and improve home-based healthcare.
Benefits of HaH vs. Hospital Inpatient Stays
?According to a systematic review published in JAMA Network Online in July of 2021, nine randomized clinical trial studies concluded that chronically ill patients receiving HaH care had a similar risk of dying as those who stayed in the hospital, but they were 26% less likely to be readmitted and less likely to need long-term care. They also felt less depressed and anxious than those who got in-hospital care, but their functional status was the same. According to a report by HIMSS researchers, at-home care can save up to?30%?in costs compared to traditional in-person care and can save $5,000 to $7,000 per episode.
?Initial Patient Selection in HaH Programs
?Historically, HaH programs were cautious with patient selection, primarily focusing on less acute cases. Conditions like pneumonia, chronic obstructive pulmonary disease, and heart failure were among the early focuses. This approach was largely due to safety concerns, ensuring that only patients who could be most effectively managed at home without the need for intensive hospital resources were chosen.
?The Evolving Landscape of Patient Selection
There’s been a notable expansion in the range of conditions treated under HaH programs since its appearance in the late 1990’s. Factors contributing to this include:
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?The Role of AI and Medical Internet of Things (MioT) in Expanding Patient Selection
?AI and MIoT are now at the forefront of HaH expansion. They provide real-time data analysis, predictive analytics, and integration of enhanced remote monitoring capabilities. Together, these technologies enable HaH programs to safely and effectively manage a broader range of medical conditions. AI algorithms can analyze vast datasets to identify risk patterns and suggest interventions, while MIoT-connected devices offer continuous monitoring of vital parameters, ensuring patient safety outside the conventional hospital setting.
?With the integration of AI and MIoT, the potential for HaH programs to encompass a wider range of patients is significant. Chronic diseases, post-operative care, and even certain acute conditions can be managed effectively at home. This expansion is not only about treating more conditions but also about enhancing personalized care, improving patient outcomes, and reducing healthcare system burdens.?
Conclusion
The integration of AI and MIoT in HaH programs is more than a technological leap; it represents a paradigm shift in healthcare delivery. As we harness these technologies, we are not just widening the scope of HaH; we are also creating a more responsive, effective, less-costly and patient-centric healthcare model. The future of HaH is bright, and it's time for healthcare strategists and professionals to embrace and lead this transformative journey.
?For further reading on this topic, you may find the following resources helpful:
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#HospitalAtHome, #HealthcareInnovation, #DigitalHealth, and #PatientCare