145 Hobson Lake Dr #405
Halifax, NS, B3S 0H9, Canada
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  • Jennifer McLeod

Raising the bar in senior care with predictive, privacy-first monitoring

An increasing senior population coupled with changes in protocol, like the introduction of PDGM in the USA, means that care teams are under growing amounts of pressure.


Pressure to be efficient. Pressure to be effective. Pressure to continually offer exceptional levels of care. And pressure to cut costs while maximizing profits. It’s not easy to juggle it all and management simply cannot have eyes everywhere.


Are staff being assigned where they’re needed most? Is equipment being accessed appropriately and working properly? Are clients receiving the level of care they need in order to address challenges, improve conditions, and reduce the risk of further intervention or care? Is Mrs. Johnson up and about yet this morning? Did Mr. Jones visit the bathroom more often yesterday?


The exciting news is that we can infer the answers to these and many more questions with affordable sensor technology that puts privacy first.



A More PROACTIVE Approach to Care


When the right sensors are deployed and backed with the right data science algorithms, it’s a powerful combination; AI enhanced insights help facilities move from reactive to proactive approaches to care.


Care plans can be optimized based on need and response to treatment, detected changes in behaviour can predict and prevent readmissions, and caregivers are given a truer picture of outcomes and reassurance of accurate assessments.




Predict & Prevent


Without watching or listening, ambient sensor data delivers real time information and the power of machine learning translates data history into predictive notifications.


Over time, sensors determine what is normal and what isn’t and changes in behaviour can be an indicator that a problem is developing. Take the example of a urinary tract infection. Increased time spent in bed and more frequent trips to the bathroom can be indicators that something is amiss. A simple test to confirm, leads to an antibiotic being prescribed and this early intervention prevents a longer course of treatment and possible hospitalization.




Maximized Efficiency and a Stronger Bottom Line


When changes in behaviour indicate the beginning of an issue, early intervention means avoiding more costly and invasive actions.


Increased awareness gained through sensor monitoring aids in compliance as well. Through sensor activity and patterns, we know if interventions are being followed as prescribed and if staff activity matches guidelines and goals.


Minimizing the occurrence of more serious issues through better prevention and compliance, creates more effective and focused teams. When staff are given tools for improved efficiency and collaboration, overall operations improve and senior care facilities know that their staffing dollars are working harder.


Facilities can also use the behavioural data from ambient sensors to improve the precision of their functional assessments. Objective functional data can be compared to subjective clinical observations to be sure claims are correct. This improved coding practice minimizes billing errors and payment reductions.




Improved Wellness for both clients and staff


Beyond the more obvious benefits in senior care, teams and clients leveraging technology can experience improved overall wellness. There is a peace of mind that comes with the use of non-intrusive ambient sensors.


Seniors can enjoy greater independence and confidence by having their needs met more consistently and with better response time. Families know that even when a team member isn’t physically in the room, they are still aware of what is happening.

Staff members feel an extra level of support; with AI assisting in clinical observations, they now have additional evidence to back up intervention requests and changes in approach and have extra assurance of the impact their efforts are having on quality of care.




Conclusion


Strategically placed sensors collect ambient data and when machine learning algorithms are applied, we can gain a lot of valuable insight. Particularly in value-based care systems, this extra information and understanding can have a huge impact.


Facilities that examine opportunities to leverage prevention-focused smart technologies discover that it positions them to take a more proactive approach. When prevention is top of mind, facilities see improvements in outcomes, efficiency, management, profitability, and wellness.

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