Mirjam C Hazewinkel
Biographic Data
| ID | 7955492 |
|---|---|
| NAME | Mirjam C Hazewinkel |
| GIVEN NAMES | Mirjam C |
| FAMILY NAME | Hazewinkel |
| SIGNATURE | HAZEWINKEL M C |
| AFFILIATIONS | Parnassia Groep |
| ORCID | 0000-0002-5595-9994 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Identifying subtypes of suicidality
The (h)4ME demonstrates promising usability and feasibility when tested by staff of psychiatric emergency services. Replication studies of samples of various clinical, demographic or ethnic origin and of diverse professional background and contexts are needed to confirm the consistency of these findings
Text Analysis of Electronic Medical Records to Predict Seclusion in Psychiatric Wards
Aim: With the introduction of "Electronic Medical Record" (EMR) a wealth of digital data has become available. This provides a unique opportunity for exploring precedents for seclusion. This study explored the feasibility of text mining analysis in the EMR to eventually help reduce the use of seclusion in psychiatry. Methods: The texts in notes and reports of the EMR during 5 years on an acute and non-acute psychiatric ward were analyzed using a …
No prominent works on this page.
Text Analysis of Electronic Medical Records to Predict Seclusion in Psychiatric Wards
Aim: With the introduction of "Electronic Medical Record" (EMR) a wealth of digital data has become available. This provides a unique opportunity for exploring precedents for seclusion. This study explored the feasibility of text mining analysis in the EMR to eventually help reduce the use of seclusion in psychiatry. Methods: The texts in notes and reports of the EMR during 5 years on an acute and non-acute psychiatric ward were analyzed using a …
Identifying subtypes of suicidality
The (h)4ME demonstrates promising usability and feasibility when tested by staff of psychiatric emergency services. Replication studies of samples of various clinical, demographic or ethnic origin and of diverse professional background and contexts are needed to confirm the consistency of these findings
Cohort (1 work) · Concordance (1 work) · Emergency department (1 work) · Healthcare Decision-Making and Restraints (1 work) · Inter-rater reliability (1 work) · Intraclass correlation (1 work) · Medical record (1 work) · Medicine (1 work) · Mental health (1 work) · Mental Health and Psychiatry (1 work)