Kaisa Haatainen
Biographic Data
| ID | 7935081 |
|---|---|
| NAME | Kaisa Haatainen |
| GIVEN NAMES | Kaisa |
| FAMILY NAME | Haatainen |
| SIGNATURE | HAATAINEN K |
| AFFILIATIONS | University of Eastern Finland |
| ORCID | 0000-0003-3450-5288 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Artificial Intelligence for Identifying the Prevention of Medication Incidents Causing Serious or Moderate Harm
The purpose of this study was to describe incident reporters' views identified by artificial intelligence concerning the prevention of medication incidents that were assessed, causing serious or moderate harm to patients. The information identified the most important risk management areas in these medication incidents. This was a retrospective record review using medication-related incident reports from one university hospital in Finland between …
Recovery from Depression
Background: The recovery from depression and factors associated with it are not well known in the general population. Aims: To conduct a two-year follow-up of general population subjects and investigate their recovery from depression. Methods: Individuals who were assessed as suffering from depression on the basis of Beck Depression Inventory (BDI) scores were monitored for two years. Results: Sixty-five per cent were still depressed after two ye…
Ftors Associated with Hopelessness
Background: Hopelessness is associated with depression and suicidality in clinical as well as in non-clinical populations. However, data on the prevalence of hopelessness and the associated factors in general population are exiguous. Aims: To assess the prevalence and the associated factors of hopelessness in a general population sample. Methods: The random population sample consisted of 1722 subjects. The study questionnaires included the Beck H…
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Ftors Associated with Hopelessness
Background: Hopelessness is associated with depression and suicidality in clinical as well as in non-clinical populations. However, data on the prevalence of hopelessness and the associated factors in general population are exiguous. Aims: To assess the prevalence and the associated factors of hopelessness in a general population sample. Methods: The random population sample consisted of 1722 subjects. The study questionnaires included the Beck H…
Recovery from Depression
Background: The recovery from depression and factors associated with it are not well known in the general population. Aims: To conduct a two-year follow-up of general population subjects and investigate their recovery from depression. Methods: Individuals who were assessed as suffering from depression on the basis of Beck Depression Inventory (BDI) scores were monitored for two years. Results: Sixty-five per cent were still depressed after two ye…
Artificial Intelligence for Identifying the Prevention of Medication Incidents Causing Serious or Moderate Harm
The purpose of this study was to describe incident reporters' views identified by artificial intelligence concerning the prevention of medication incidents that were assessed, causing serious or moderate harm to patients. The information identified the most important risk management areas in these medication incidents. This was a retrospective record review using medication-related incident reports from one university hospital in Finland between …
Medicine (3 works) · Psychology (3 works) · Clinical Psychology (2 works) · Depression (economics) (2 works) · Medical emergency (2 works) · Population (2 works) · Psychiatry (2 works) · Alexithymia (1 work) · Anxiety (1 work) · Artificial Intelligence in Healthcare and Education (1 work)