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Why Predictive Analytics Should Be Top of Mind for your Home Care Agency


As we’ve all heard by now, there are numerous benefits to providing care for patients in the comfort of their own homes. Home care has been proven to lower overall costs, and presents the greatest solution for meeting the needs of the rapidly growing senior population.

The industry’s shifting demographic is compelling the rise of value-based and patient-centric care and reimbursement models, which means agencies are turning their focus toward improving patient outcomes.

Lucky for them, with the help of modern home care technology and applied analytics, agencies have the ability to make more informed, data-driven decisions in order to accomplish these outcome goals.

Many home care agencies have already taken advantage of business intelligence and analytic solutions to monitor the financial and operational performance of their businesses. But the even more powerful solutions are those that effectively monitor and analyze clinical and event data.

Analytic tools utilized at the point of care enable providers to be predictive and proactive in their care delivery on an individual basis. This will help the home care agencies of the future provide more efficient care, and improved outcomes in a time of increased demand.

Here are some of the reasons why predictive clinical analytics should be top of mind for your home care agency:

Reduce Readmissions

Tools such as such as remote patient monitoring and machine learning can support care worker decisions through risk scoring and threshold alerts, allowing them to proactively prevent Emergency room visits, readmissions and other negative events.

Patients can stay in their homes longer and out of the hospital. AlayaCare, a home healthcare software company for community care providers, and We Care, a home health care provider part of CBI Health Group (CBI), released a white paper providing insight into the impact of machine learning integrated with remote patient monitoring, and how it can reduce hospital readmissions and emergency room visits. You can read the study here.


Home care has often taken the “one size fits all” approach to care delivery.

With remote monitoring devices, predictive analytics and algorithms, providers have the ability to respond to patient needs on a more individual basis.

Personalized alerts and dashboards can give patients and providers visibility into to critical health information to ensure key stakeholders can take preventive action; providers no longer have to rely on the patient to report noticeable changes in their health.


These tools can also be used to inform and educate patients on their health, allowing them to be directly engaged and active participants in their care plans.

Outcome Focused

With predictive analytics, agencies are able to optimize their care delivery and performance to better suit the needs of their patients.

This not only helps keep them out of the hospital, but can have a significant impact on their overall outcomes. Care workers no longer have to be reactive to falls and other potential negative events; they have increased visibility into individual patient vitals allowing them to make data-driven decisions to more effectively improve outcomes.


Decrease Spending & Increase Bottom Line

New payment and reimbursement models are coming into play that factor in incentives and penalties directly tied to the achievement of desired patient outcomes.

Home care agencies with predictive analytic capacity will have a major advantage in the referral marketplace based on their ability to collaborate with other health systems looking achieve outcome-based goals.

Agencies with these tools are more likely to attract more clients, leading to increased profits, while also reducing the overall cost of care by preventing inefficient and unnecessary care procedures based on data-driven insights.

As a leading provider of an end-to-end home care software platform, AlayaCare provides innovative technologies such as a Patient App, Telehealth Dashboard, Family Portal, RPM software, and Machine Learning algorithm-based clinical support tools, which allow for better coordination and quality of care across the healthcare continuum.

With our all-in-one solution, you can ensure our patients have the tools they need to be more confident and knowledgeable in their healthcare services, increasing engagement and ultimately improving patient outcomes.

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