Elderly Care Needs People Before It Needs Technology

Elderly care needs people before it needs technology.

These days, many fields are talking about DX and AX.

Digital transformation, AI transformation.

Government, finance, hospitals, education, businesses — all are changing faster and faster.

Welfare is no exception.

Welfare applications are moving online,

consultations are routed through call centers and chatbots,

and hospital appointments and civil services are increasingly going digital.

These are clearly necessary changes.

Technology matters — for being faster, more efficient, and reaching more people with services.

But when I think about elderly care, one question remains.

Is technology alone really enough?

The problem with elderly care is not simply a lack of systems.

It is not just that there are no apps, or that there aren't enough online application pages.

The more fundamental problem is that there are not enough people who actually reach the elderly who need help.

An elderly person's difficulties often don't end inside a screen.

Sometimes you have to go to the hospital with them,

sometimes you have to check whether they're taking their medication properly,

sometimes you have to see the state of their home,

sometimes you have to ask whether they're eating well.

Sometimes you have to help them file paperwork,

sometimes you have to explain a complicated system in plain words.

Sometimes, more than any special solution,

what matters more is having someone come by regularly to ask how they are.

This is a domain that is hard to replace with technology alone.

Elderly care is ultimately tied to questions of the body, daily life, relationships, mobility, meals, hospitals, and loneliness.

These problems can't be solved by software alone.

Of course, AI is needed.

AI can make it easier to find the welfare benefits an elderly person is eligible for.

It can summarize the content of consultations.

It can explain the situation to family members.

It can reduce the administrative work of welfare staff.

It can help spot warning signs sooner.

But what AI should do is not to eliminate people.

Rather, it should help people do their work better.

The people working on the front lines of elderly care already carry a heavy burden.

Caregivers, social workers, visiting nurses, case managers, hospital escort staff, local-government welfare officers.

What they do is not simple administrative processing.

It is the work of holding up someone's day.

Yet the field is often short-staffed, overloaded with work, and poorly compensated.

If you introduce only technology into this situation, the field doesn't get better — it may actually grow more exhausted.

Because they have to enter data into a new system,

they have to learn a new platform,

and one more digital task can get piled on top of their existing work.

So the AX and DX of elderly care have to set the right direction.

Not a direction where technology replaces people,

but a direction that helps people work longer, more accurately, and with less exhaustion.

For example, like this.

AI automatically summarizes the content of a welfare consultation.

It automatically recommends support programs that fit the elderly person's situation.

It optimizes visit schedules and routes.

It easily organizes the information to be passed on to the family.

It reduces repetitive paperwork.

It helps you check on high-risk elderly people first.

This kind of technology is not technology that pushes people out of the field.

Rather, it is technology that protects the people in the field.

Perhaps this is the most important question in elderly care going forward.

Not "how much can we cut with technology?"

but "how much better can we deliver human care through technology?"

In the end, elderly care needs people.

People who go to them.

People who listen.

People who look after them.

People who connect them.

People who explain.

People who wait for them.

And we need technology that helps those people not burn out.

The future of welfare should be not automation without people,

but something closer to automation that connects people better.

DX can make welfare faster.

AX can make welfare smarter.

But what truly makes elderly care warm

is, in the end, a person who actually reaches the elderly's side.

So we can think of it this way.

The next transformation in elderly care will not come from technology alone.

First, we have to bring in more people.

And then technology has to support them from behind so they can work better.

AX without staff is hollow,

and adding staff without AX is inefficient.

What we'll need going forward is not one or the other.

More people.

And better technology that keeps those people from burning out.

The future of elderly care will only become possible when those two go together.

These days, many fields are talking about DX and AX.

Digital transformation, AI transformation.

Government, finance, hospitals, education, businesses — all are changing faster and faster.

Welfare is no exception.

Welfare applications are moving online,

consultations are routed through call centers and chatbots,

and hospital appointments and civil services are increasingly going digital.

These are clearly necessary changes.

Technology matters — for being faster, more efficient, and reaching more people with services.

But when I think about elderly care, one question remains.

Is technology alone really enough?

The problem with elderly care is not simply a lack of systems.

It is not just that there are no apps, or that there aren't enough online application pages.

The more fundamental problem is that there are not enough people who actually reach the elderly who need help.

An elderly person's difficulties often don't end inside a screen.

Sometimes you have to go to the hospital with them,

sometimes you have to check whether they're taking their medication properly,

sometimes you have to see the state of their home,

sometimes you have to ask whether they're eating well.

Sometimes you have to help them file paperwork,

sometimes you have to explain a complicated system in plain words.

Sometimes, more than any special solution,

what matters more is having someone come by regularly to ask how they are.

This is a domain that is hard to replace with technology alone.

Elderly care is ultimately tied to questions of the body, daily life, relationships, mobility, meals, hospitals, and loneliness.

These problems can't be solved by software alone.

Of course, AI is needed.

AI can make it easier to find the welfare benefits an elderly person is eligible for.

It can summarize the content of consultations.

It can explain the situation to family members.

It can reduce the administrative work of welfare staff.

It can help spot warning signs sooner.

But what AI should do is not to eliminate people.

Rather, it should help people do their work better.

The people working on the front lines of elderly care already carry a heavy burden.

Caregivers, social workers, visiting nurses, case managers, hospital escort staff, local-government welfare officers.

What they do is not simple administrative processing.

It is the work of holding up someone's day.

Yet the field is often short-staffed, overloaded with work, and poorly compensated.

If you introduce only technology into this situation, the field doesn't get better — it may actually grow more exhausted.

Because they have to enter data into a new system,

they have to learn a new platform,

and one more digital task can get piled on top of their existing work.

So the AX and DX of elderly care have to set the right direction.

Not a direction where technology replaces people,

but a direction that helps people work longer, more accurately, and with less exhaustion.

For example, like this.

AI automatically summarizes the content of a welfare consultation.

It automatically recommends support programs that fit the elderly person's situation.

It optimizes visit schedules and routes.

It easily organizes the information to be passed on to the family.

It reduces repetitive paperwork.

It helps you check on high-risk elderly people first.

This kind of technology is not technology that pushes people out of the field.

Rather, it is technology that protects the people in the field.

I think this is the most important question in elderly care going forward.

Not "how much can we cut with technology?"

but "how much better can we deliver human care through technology?"

In the end, elderly care needs people.

People who go to them.

People who listen.

People who look after them.

People who connect them.

People who explain.

People who wait for them.

And we need technology that helps those people not burn out.

The future of welfare should be not automation without people,

but something closer to automation that connects people better.

DX can make welfare faster.

AX can make welfare smarter.

But what truly makes elderly care warm

is, in the end, a person who actually reaches the elderly's side.

The next transformation in elderly care will not come from technology alone.

First, we have to bring in more people.

And then technology has to support them from behind so they can work better.

AX without staff is hollow,

and adding staff without AX is inefficient.

What we'll need going forward is not one or the other.

More people.

And better technology that keeps those people from burning out.

The future of elderly care will only become possible when those two go together.

Sometimes, in everyday life, a thought like this crosses my mind.

"This is going to be hard for older people to understand."

You have to verify your identity,

you have to install an app,

you have to read instructions in tiny print,

you have to make quick choices in front of a kiosk,

and you have to understand unfamiliar terms on a welfare application page.

It may be a familiar process for younger people,

but for an older person, each step can become a point where they get stuck.

We often say that older people find digital things hard.

But perhaps the more accurate way to put it

is that digital systems haven't given enough thought to the pace and language of older people.

The accessibility of elderly care doesn't break down only in grand places.

It can break down at a single small button, a single difficult word, a single complicated verification step.

So it isn't enough for future welfare technology to simply get smarter.

It has to be easier to understand, more comfortable to ask questions of, and able to be followed more slowly.

Perhaps that, in the end, is what it means for technology to reach a person.

Matching someone's pace.

And perhaps the future of elderly care, too, has to start again from there.