Psychiatric Home Treatment for Inpatient Care -- Design, Implementation
and Participation
- URL: http://arxiv.org/abs/2006.01523v1
- Date: Tue, 2 Jun 2020 11:17:42 GMT
- Title: Psychiatric Home Treatment for Inpatient Care -- Design, Implementation
and Participation
- Authors: Stefan Hochwarter, Pierre Tangermann, Martin Heinze, Julian Schwarz
- Abstract summary: In Germany, a new form of psychiatric home treatment, inpatient equivalent treatment (IET), is offered since 2018.
This study examines how information and communication technologies (ICT) interact in the new setting and how this process can be improved.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The use of information and communication technologies (ICT) to support
long-term care is gaining attention, also in the light of population ageing.
Known in Scandinavian countries under the term of welfare technology, it aims
to increase the quality of life and independence of people with physical,
psychological or social impairments. In Germany, a new form of psychiatric home
treatment, inpatient equivalent treatment (IET), is offered since 2018. It
should allow service users with severe mental health issues to stay in their
familiar environment during crisis, while being treated in the same complexity
and flexibility like in an inpatient unit. However, this change in delivering
healthcare services leads to sociotechnical challenges, such as coordination of
work, integration into existing healthcare workflows and ensuring continuity of
care. Hence, the objective of this exploratory study is to examine how
information and communication technologies (ICT) interact in the new setting
and how this process can be improved. Further, we also ask how service users
can participate in designing home treatment services. Methodologically, this
study follows a qualitative research approach. Different methods including
participant observation, interviews and focus groups were conducted to answer
the research questions. Data was collected during a field visit at the
psychiatric department of a German clinic in summer 2019. Field notes and
interviews were analyzed using the R package for qualitative data analysis
RQDA. A list of socio-technical challenges and opportunities related to IET
were identified. New forms of communication, gaps in documentation practices
and continuity of care are seen to be highly relevant for designing and
implementing home treatment services in psychiatric care. We also discuss how
service users and health professionals can take pro-active part in designing
these services.
Related papers
- The Design and Implementation of a National AI Platform for Public
Healthcare in Italy: Implications for Semantics and Interoperability [62.997667081978825]
The Italian National Health Service is adopting Artificial Intelligence through its technical agencies.
Such a vast programme requires special care in formalising the knowledge domain.
Questions have been raised about the impact that AI could have on patients, practitioners, and health systems.
arXiv Detail & Related papers (2023-04-24T08:00:02Z) - GDPR Compliant Collection of Therapist-Patient-Dialogues [48.091760741427656]
We elaborate on the challenges we faced in starting our collection of therapist-patient dialogues in a psychiatry clinic under the General Data Privacy Regulation of the European Union.
We give an overview of each step in our procedure and point out the potential pitfalls to motivate further research in this field.
arXiv Detail & Related papers (2022-11-22T15:51:10Z) - Towards Responsible Medical Diagnostics Recommendation Systems [2.728575246952532]
We will outline the design of a responsible recommender system in the medical context.
We will discuss potential design choices and criteria with a specific focus on accountability, safety, and fairness.
arXiv Detail & Related papers (2022-09-08T12:13:28Z) - An NLP Solution to Foster the Use of Information in Electronic Health
Records for Efficiency in Decision-Making in Hospital Care [0.26340862968426904]
The project aimed to define the rules and develop a technological solution to automatically identify attributes within free-text clinical records written in Portuguese.
The project's goal was achieved by a multidisciplinary team that included clinicians, epidemiologists, computational linguists, machine learning researchers and software engineers.
arXiv Detail & Related papers (2022-02-24T15:52:59Z) - Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral
Therapy: A Minimally Data-Sensitive Approach [59.535699822923]
Internet-delivered psychological treatments (IDPT) are seen as an effective and scalable pathway to improving the accessibility of mental healthcare.
This work proposes a deep-learning approach to perform automatic adherence forecasting, while relying on minimally sensitive login/logout data.
The proposed Self-Attention Network achieved over 70% average balanced accuracy, when only 1/3 of the treatment duration had elapsed.
arXiv Detail & Related papers (2022-01-11T13:55:57Z) - Understanding the Information Needs and Practices of Human Supporters of
an Online Mental Health Intervention to Inform Machine Learning Applications [6.5893732458797185]
The research investigates how new opportunities provided through recent advances in the field of AI and machine learning (ML) can contribute useful data insights to effectively support the work practices of iCBT supporters.
This paper reports detailed findings of an interview study with 15 iCBT supporters that deepens understanding of their existing work practices and information needs.
The analysis contributes (1) a set of six themes that summarize the strategies and challenges that iCBT supporters encounter in providing effective, personalized feedback to their mental health clients; and (2) presents for each theme concrete opportunities for how methods of ML could help support and address identified challenges and information needs.
arXiv Detail & Related papers (2021-11-12T11:43:31Z) - Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy:
Iterative Design and Evaluation with Therapists and Post-Stroke Survivors [66.07833535962762]
Artificial intelligence (AI) and robotic coaches promise the improved engagement of patients on rehabilitation exercises through social interaction.
Previous work explored the potential of automatically monitoring exercises for AI and robotic coaches, but deployment remains a challenge.
We present our efforts on eliciting the detailed design specifications on how AI and robotic coaches could interact with and guide patient's exercises.
arXiv Detail & Related papers (2021-06-15T22:06:39Z) - "Am I A Good Therapist?" Automated Evaluation Of Psychotherapy Skills
Using Speech And Language Technologies [38.726068038788384]
We describe our platform and its performance, using a dataset of more than 5,000 recordings.
Our system gives comprehensive feedback to the therapist, including information about the dynamics of the session.
We are confident that a widespread use of automated psychotherapy rating tools in the near future will augment experts' capabilities.
arXiv Detail & Related papers (2021-02-22T18:52:52Z) - Designing a Mobile Social and Vocational Reintegration Assistant for
Burn-out Outpatient Treatment [0.4899818550820576]
This paper presents our mobile Social Agent EmmA in the role of a vocational reintegration assistant for burn-out outpatient treatment.
We employ a real-time social signal interpretation together with a computational simulation of emotion regulation that influences the agent's social behavior.
arXiv Detail & Related papers (2020-12-15T12:41:56Z) - MET: Multimodal Perception of Engagement for Telehealth [52.54282887530756]
We present MET, a learning-based algorithm for perceiving a human's level of engagement from videos.
We release a new dataset, MEDICA, for mental health patient engagement detection.
arXiv Detail & Related papers (2020-11-17T15:18:38Z) - The Role of Robotics in Infectious Disease Crises [46.43737882437637]
The recent coronavirus pandemic has highlighted the challenges faced by the healthcare, public safety, and economic systems when confronted with a surge in patients.
There is a complementary need to anticipate and address the engineering challenges associated with infectious disease emergencies.
As technical capabilities advance and as the installed base of robotic systems increases in the future, they could play a much more significant role in future crises.
arXiv Detail & Related papers (2020-10-19T22:54:12Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.