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How is AI transforming senior care from reactive to predictive? | Steve Keys, NtelCare

Straight To Voicemail · 2026-06-30 · 6 min

0:00--:--

Key moments - from our scoring

Substance score

50 / 100

Five dimensions, 20 points each

Insight Density12 / 20
Originality10 / 20
Guest Caliber13 / 20
Specificity & Evidence9 / 20
Conversational Craft6 / 20

NtelCare is transforming senior living facilities by replacing traditional reactive care tools - pull cords, bed mats, floor mats, wearables, and cameras - with contactless 4D radar sensors and AI-driven clinical insights. The platform automates task charting and documentation, a major pain point in understaffed senior care environments, while monitoring resident health parameters like gait changes, restroom frequency, and bed exits from ceiling or wall-mounted devices. By integrating with existing facility systems, NtelCare generates risk scores and clinical alerts that enable proactive interventions; for example, flagging residents with changing mobility patterns for physical therapy or alerting staff immediately when a high-risk resident attempts to get out of bed. The approach directly addresses workforce challenges - facilities typically conduct mandatory check-ins every 2-3 hours, but AI-enabled alerts allow staff to respond precisely when needed. Assisted living, memory care, and skilled nursing facilities are the target market, though adoption requires training and workflow adjustments from RNs, LPNs, CNAs, and management teams.

Key takeaways

  • →NtelCare's contactless 4D radar eliminates the need for wearables, cameras, or listening devices while detecting falls, measuring gait changes, and monitoring restroom patterns and medication impacts.
  • →AI-powered task charting automation reduces documentation burden on nurses and CNAs, alleviating staffing strain in a historically understaffed industry.
  • →Predictive risk scoring enables proactive clinical interventions - like prescribing physical therapy for detected mobility decline - rather than waiting for fall incidents.
  • →Alert systems allow staff to respond to high-risk events (like bed exits) on-demand instead of conducting routine check-ins every 2-3 hours, improving both efficiency and care quality.
  • →Successful implementation requires buy-in from both care staff and management due to workflow changes, making adoption strategy critical to ROI realization.

Guests

Steve Keys

Topics in this episode

Skilled nursing facilitiesNtelCare4D radar sensorsfall detectionpredictive health monitoringtask charting automationclinical risk scoringsenior living facilitiesmemory care communitiesAI-driven clinical insights

Questions this episode answers

How does NtelCare detect falls and monitor health without cameras or wearables?

NtelCare uses contactless 4D radar sensors mounted on ceilings or walls that detect presence, measure gait changes, track trips to the restroom, monitor bed exits, and integrate with medication data - all without cameras, listening devices, or resident wearables.

What specific health insights does NtelCare's AI provide to care staff?

The platform generates clinical risk scores and alerts that flag changes in resident gait, mobility patterns, and other health indicators; for example, it can recommend physical therapy for residents showing declining mobility or immediately alert staff when a high-risk resident attempts to get out of bed.

How does NtelCare reduce the workload on senior care staff?

It automates time-consuming task charting and documentation through AI and smart agents, and replaces routine check-ins every 2-3 hours with on-demand alerts triggered only when residents exhibit high-risk events.

What types of senior living facilities is NtelCare deployed in?

The technology is being implemented in assisted living communities, memory care facilities, and skilled nursing facilities.

What challenges do facilities face when adopting NtelCare?

Facilities must invest in staff training and manage workflow process changes across RNs, LPNs, CNAs, and management teams to realize the technology's ROI and value.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

12 / 20

The episode contains several substantive technical and operational insights about AI in senior care (contactless radar, predictive risk scoring, workflow automation), but delivery is dense and lacks concrete metrics or outcomes. The substance is present but somewhat buried in explanation without data points or real implementation results that would elevate this further.

we use a series of contactless 4D radar sensors. No wearables, no cameras, no listening. But these devices give us the ability to detect presence, mitigation of falls, and we're able to monitor a series of health parameters
we're able to start looking at not just changes in gait, number of trips to the restroom, duration in the restroom, number of exit during the bed

Originality

10 / 20

The core positioning - moving from reactive to predictive care - is sensible but not particularly novel in healthcare tech discourse. The specific application of 4D radar to senior care monitoring is somewhat differentiated, but the framing and supporting arguments rely on familiar healthcare efficiency narratives without counterintuitive insights or contrarian takes.

transforming this reactive care model to one that's much more predictive in nature
traditional senior technology is architected around some legacy tools. Those include a pull cord, a bed mat, floor mat, wearables, cameras

Guest Caliber

13 / 20

Steve Keys is a founder and operator with relevant domain experience (multiple company leadership roles including NtelCare), which is solid. However, the transcript provides no evidence of significant scale, traction, revenue, or market penetration at NtelCare specifically, limiting him to mid-tier operator status rather than a proven market leader in the space.

Steve Keys is the founder and CEO of NtelCare technology company
Steve serves as the chairman of answer 360 telecommunications

Specificity & Evidence

9 / 20

While the episode describes what NtelCare's technology does operationally (detecting gait changes, monitoring restroom trips, bed exits), it lacks concrete customer numbers, revenue figures, deployment scale, measured outcomes, or specific facility examples. The description is functional but abstract - no named clients, adoption rates, fall reduction percentages, or cost savings data.

changes in gait, number of trips to the restroom, duration in the restroom, number of exit during the bed
typically required to go check on residents every two or three hours

Conversational Craft

6 / 20

This is essentially a monologue from the guest with minimal host engagement - Adam asks no follow-up questions, doesn't probe on contradictions (e.g., the reactive fall-detection claim undermining the predictive positioning), and doesn't challenge cost-benefit claims or ROI assertions. The format reads as a guest leaving a voicemail rather than a genuine conversation, hence the show's title irony.

I want to provide a response to your question
I hope that help answers your question and I'm certainly happy give you additional insight if you'd like

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Most-used words

care15steve6technology6staff6changes5senior4provide4industry4start4risk4resident4adam3ntelcare3fall3reactive3series3

Episode notes

Senior care has a data problem and a staffing problem. Most facilities are still operating on reactive systems, where caregivers step in after something has already gone wrong. What if care could be predictive instead? In this episode of Straight to Voicemail, Adam Sockel hears from Steve Keys , CEO of NtelCare. Steve breaks down how AI and sensor-driven technology are fundamentally changing how care is delivered. From eliminating manual charting to detecting early changes in movement and behavior, he shares how intelligent systems are reducing strain on staff while improving outcomes for residents. This isn’t incremental improvement. It’s a shift from reacting to incidents into preventing them.

Full transcript

6 min

Transcribed and scored by The B2B Podcast Index.

Adam Sockel Steve Keys is the founder and CEO of NtelCare technology company that leverages AI and contactless 4D radar to improve senior living through advanced fall detection, mitigation, and health monitoring. That's a mouthful just to say, let alone execute on. Steve has big thoughts on how to properly serve and care for the elderly members of our community. And he believes that technology is the way to do that better than ever.

In addition to leading Intel NtelCare, Steve serves as the chairman of answer 360 telecommunications, offering VoIP and managed services across various industries. CamView 360, a cloud-based video surveillance platform, and previously served as CEO of Challenger Water Solutions, specializing in innovative water filtration technologies. Steve's diverse experience spans technology, telecommunications, and environmental solutions. And he's using all of that expertise to build a better healthcare system for the elderly members of our community.

I was curious how he's implementing AI in that aspect of life and how it's making a difference every single day. Steve Keys Hi, Adam. This is Steve with Care. Hey, sorry I missed your call.

I want to provide a response to your question. In the area of senior care, traditional senior technology is architected around some legacy tools. Those include a pull cord, a bed mat, floor mat, wearables, cameras. And it's a very reactive process today that the caregivers are responding to.

What what NtelCare is bringing to the senior care industry is transforming this reactive care model to one that's much more predictive in nature. For example, we are taking task, charting, there's a significant amount of documentation required, in this industry and being able to automate that using artificial intelligence and smart agents begins to reduce some of the strain on an already understaffed industry. the other ways that we are, transforming this, which is really exciting, is we use a series of contactless 4D radar sensors.

No wearables, no cameras, no listening. But these devices give us the ability to detect presence, mitigation of falls, and we're able to monitor a series of health parameters all from a device that is mounted on the ceiling or wall. What that allows us to do with the integration of systems that are currently already deployed at these facilities is to start providing a set of risk scores and clinical insights. So we're able to start looking at not just changes in gait, number of trips to the restroom, duration in the restroom, number of exit during the bed, of the bed.

But we're also able to look at changes in medications. Those sorts of things all go into a set of intelligent agents that allow us to start giving the care staff a series of insights that are clinical insights so that if a resident is beginning to experience changes in their gait, their movement, that may indicate a change in their mobility. So we can now provide that kind of insight to a care staff that says, hey, this resident should be going through some form of physical therapy to try to strengthen and change their overall mobility.

I mentioned earlier risk scoring, all of the data that I mentioned, All of those things allow us to also start providing an intelligent risk score so that the care staff now can quickly assess that this resident score has changed from yesterday or last week. Where this begins to really impact efficiencies, again, understand the industry is straddled with a significant staff challenge where they are typically required to go check on residents every two or three hours. Well, what we're able to do is when there is an event, someone trying to get out of bed that is at high fall risk, we're now able to send an alert to the staff to make sure that that resident is getting the assistance they need, So being able to identify a fall immediately, although it's reactive, ensures that someone is providing care to that individual to get them up and the care they need.

are a number these changes that are currently being to assisted living. memory care communities and skilled nursing facilities. The challenge that most of these facilities encounter is you're talking about a workforce that is largely there to provide care. You've got RNs, LPNs, CNAs that are all there to really provide care to those residents.

Introducing technology does require an investment, not only by the care staff, but the management team, because you're introducing new may be some changes in their workflow or their processes. So all of that, you know, is necessary to really gain the ROI and the value from this type of technology. So I hope that help answers your question and I'm certainly happy give you additional insight if you'd like. Thanks again, Adam.

Take care.

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