Summary: index_maple

Service need (MAPLe-AI)

Alarm level explanation: The customer’s service need is high. If the service need has increased in the near past, are there any measures to reduce it?

MAPLe-AI assesses the customer’s need for service. The following describes examples of typical customers for different MAPLe-AI values 1-2 = The customer copes with daily activities mostly independently 3 = The customer needs help with individual activities such as cooking or taking medication 4 = The customer’s cognition is impaired, he has a risk of pressure ulcers, a high risk of falling or eating-related problems 5 = The client’s ability to cope independently with daily activities has decreased and, in addition, he has impaired cognition or a high risk of falling. The customer is almost 10 times more likely to move to 24/7 assisted living than a customer whose MAPLe is 1.

The assessment takes into account the following:

  • ADL-AI
  • IADL-AI
  • suitability for care
  • risk of falling
  • eating
  • CPS-AI
  • institutional care risk
  • wandering
  • decision-making ability
  • taking medicine
  • cooking
  • pressure sores

The values ​​of the MAPLe-AI meter are usually close to the values ​​of the MAPLe meter (see https://pubmed.ncbi.nlm.nih.gov/18366782/), but may deviate from it in some situations, because MAPLe-AI is based on the customer’s daily entries interpreted by artificial intelligence.

Warning level explanation: The customer’s service need is moderate. If the service need has increased in the near past, are there any measures to reduce it?

MAPLe-AI assesses the customer’s need for service. The following describes examples of typical customers for different MAPLe-AI values 1-2 = The customer copes with daily activities mostly independently 3 = The customer needs help with individual activities such as cooking or taking medication 4 = The customer’s cognition is impaired, he has a risk of pressure ulcers, a high risk of falling or eating-related problems 5 = The client’s ability to cope independently with daily activities has decreased and, in addition, he has impaired cognition or a high risk of falling. The customer is almost 10 times more likely to move to 24/7 assisted living than a customer whose MAPLe is 1.

The assessment takes into account the following:

  • ADL-AI
  • IADL-AI
  • suitability for care
  • risk of falling
  • eating
  • CPS-AI
  • institutional care risk
  • wandering
  • decision-making ability
  • taking medicine
  • cooking
  • pressure sores

The values ​​of the MAPLe-AI meter are usually close to the values ​​of the MAPLe meter (see https://pubmed.ncbi.nlm.nih.gov/18366782/), but may deviate from it in some situations, because MAPLe-AI is based on the customer’s daily entries interpreted by artificial intelligence.

Ok level explanation: The customer’s service need is low or there is no data available about it.

MAPLe-AI assesses the customer’s need for service. The following describes examples of typical customers for different MAPLe-AI values 1-2 = The customer copes with daily activities mostly independently 3 = The customer needs help with individual activities such as cooking or taking medication 4 = The customer’s cognition is impaired, he has a risk of pressure ulcers, a high risk of falling or eating-related problems 5 = The client’s ability to cope independently with daily activities has decreased and, in addition, he has impaired cognition or a high risk of falling. The customer is almost 10 times more likely to move to 24/7 assisted living than a customer whose MAPLe is 1.

The assessment takes into account the following:

  • ADL-AI
  • IADL-AI
  • suitability for care
  • risk of falling
  • eating
  • CPS-AI
  • institutional care risk
  • wandering
  • decision-making ability
  • taking medicine
  • cooking
  • pressure sores

The values ​​of the MAPLe-AI meter are usually close to the values ​​of the MAPLe meter (see https://pubmed.ncbi.nlm.nih.gov/18366782/), but may deviate from it in some situations, because MAPLe-AI is based on the customer’s daily entries interpreted by artificial intelligence.