Patient information systems that tailor to the individual

Bental, Diana; Cawsey, Alison; Jones, Ray

doi:10.1016/s0738-3991(98)00133-5

Cited by 96 publications

(48 citation statements)

References 20 publications

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“…Bental and colleagues (Bental, Cawsey and Jones 1999;Bental and Cawsey 2002) have described a variety of tailored patient education systems that may act as examples. For diabetes patients, PIGLIT provided personalized information about the disease, their hospital etc.…”

Section: Web-based Psycho-educational Interventionsmentioning

confidence: 99%

Natural language processing in mental health applications using non-clinical texts

Calvo¹,

Milne²,

Hussain³

et al. 2017

Nat. Lang. Eng.

237

148

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Natural language processing (NLP) techniques can be used to make inferences about peoples' mental states from what they write on Facebook, Twitter and other social media. These inferences can then be used to create online pathways to direct people to health information and assistance and also to generate personalized interventions. Regrettably, the computational methods used to collect, process and utilize online writing data, as well as the evaluations of these techniques, are still dispersed in the literature. This paper provides a taxonomy of data sources and techniques that have been used for mental health support and intervention. Specifically, we review how social media and other data sources have been used to detect emotions and identify people who may be in need of psychological assistance; the computational techniques used in labeling and diagnosis; and finally, we discuss ways to generate and personalize mental health interventions. The overarching aim of this scoping review is to highlight areas of research where NLP has been applied in the mental health literature and to help develop a common language that draws together the fields of mental health, human-computer interaction and NLP.

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Section: Web-based Psycho-educational Interventionsmentioning

confidence: 99%

Natural language processing in mental health applications using non-clinical texts

Calvo¹,

Milne²,

Hussain³

et al. 2017

Nat. Lang. Eng.

237

148

View full text Add to dashboard Cite

show abstract

“…(1999), [14] computers have been used generally in patient education for many years. Without being a replacement for personal contact with professionals, there is evidence that they complement this, providing the patient with easy access to both specialist and general health topics.…”

Section: A Vision: Computers For Patient Educationmentioning

confidence: 99%

Finger Instead of Mouse: Touch Screens as a Means of Enhancing Universal Access

Holzinger

2003

Lecture Notes in Computer Science

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Abstract. Touch-Screen Technology is the most natural of all input deviceseven children can easily learn how to operate them. But this simple interaction proved also to be ideal for people who are not overly familiar with computers including elderly and/or disabled patients in a hospital. A pilot system of an interactive Patient Communications System (PACOSY) has been developed in a User Centered Design (UCD) process. Patients were enabled to retrieve and enter information interactively via various touch screen systems connected to the Hospital Intranet. This paper concentrates primarily on experimental experiences with touch technology and the technological requirements for a touch based Patient Information System (PATIS) serving as Point of Information (POI) for patients within a hospital or a future Point of Consultation (POC). People with low or no computer literacy found using touch screens easy and motivating. Together with a cheap, simple and user friendly interface design, such systems can enhance universal access within an information society for all.

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“…Adaptivity is usually achieved through knowledge acquisition about characteristics-such as basic facts, demographics, belief models, mental health attitudes, and medical records (Bental, Cawsey, & Jones, 1999)-of the healthcare consumer group for whom the system is intended. The acquired knowledge is then used to build a user model, which serves as input to system design.…”

Section: Adaptive Ehealthmentioning

confidence: 99%

Providing Adaptive Health Updates Across the Personal Social Network

Moncur

Masthoff

Reiter

et al. 2014

Human–Computer Interaction

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This article presents research conducted to establish how information is shared across the personal social network in the sensitive context of a health crisis. We worked with parents of very sick babies who were cared for in a hospital's Neonatal Unit (NNU). Through a combination of interviews, a focus group, and surveys, we developed a user model of the information that parents wanted to share, and how they adapted this information to individual recipients. We then developed a prototype software tool which created adaptive updates for members of the parents' social network. The updates contained summaries of large volumes of complex medical data about the baby, nonmedical information about the parents, and practical information about the hospital. Updates were automatically adapted to individual members of parents' social networks, based on our user model. The tool was evaluated in a large NNU in the United Kingdom with parents of babies who were currently being cared for in the unit.

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Patient information systems that tailor to the individual

Cited by 96 publications

References 20 publications

Natural language processing in mental health applications using non-clinical texts

Natural language processing in mental health applications using non-clinical texts

Finger Instead of Mouse: Touch Screens as a Means of Enhancing Universal Access

Providing Adaptive Health Updates Across the Personal Social Network

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