Information technology in primary health care

Lovell, Nigel H.; Celler, Branko G.

doi:10.1016/s1386-5056(99)00016-7

Cited by 32 publications

(13 citation statements)

References 5 publications

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“…‘intelligent’ data aggregation/ reduction, information extraction [11,42,43], prediction models [44-46]…”

Section: Resultsmentioning

confidence: 99%

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Decision support at home (DS@HOME) – system architectures and requirements

Marschollek

2012

BMC Med Inform Decis Mak

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BackgroundDemographic change with its consequences of an aging society and an increase in the demand for care in the home environment has triggered intensive research activities in sensor devices and smart home technologies. While many advanced technologies are already available, there is still a lack of decision support systems (DSS) for the interpretation of data generated in home environments. The aim of the research for this paper is to present the state-of-the-art in DSS for these data, to define characteristic properties of such systems, and to define the requirements for successful home care DSS implementations.MethodsA literature review was performed along with the analysis of cross-references. Characteristic properties are proposed and requirements are derived from the available body of literature.Results79 papers were identified and analyzed, of which 20 describe implementations of decision components. Most authors mention server-based decision support components, but only few papers provide details about the system architecture or the knowledge base. A list of requirements derived from the analysis is presented. Among the primary drawbacks of current systems are the missing integration of DSS in current health information system architectures including interfaces, the missing agreement among developers with regard to the formalization and customization of medical knowledge and a lack of intelligent algorithms to interpret data from multiple sources including clinical application systems.ConclusionsFuture research needs to address these issues in order to provide useful information – and not only large amounts of data – for both the patient and the caregiver. Furthermore, there is a need for outcome studies allowing for identifying successful implementation concepts.

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“…‘intelligent’ data aggregation/ reduction, information extraction [11,42,43], prediction models [44-46]…”

Section: Resultsmentioning

confidence: 99%

“…implementation of standards for information representation from the health information system domain, for example HL7 Clinical Document Architecture (CDA) [21,43,47,48]…”

Section: Resultsmentioning

confidence: 99%

Decision support at home (DS@HOME) – system architectures and requirements

Marschollek

2012

BMC Med Inform Decis Mak

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“…26,27 The HSE in Ireland has identified ICT as a means to optimally enhance the health service through increasing the availability of information and knowledge required to support healthcare; for example, it aims to enable integrated healthcare delivery by the maintenance of electronic healthcare records and care management services in the health service. 8 Nurses require appropriate educational training to enable them to utilize IT effectively.…”

Section: Discussionmentioning

confidence: 99%

Development of a Blended Model of Teaching and Learning for Nursing Students on Rostered Placement to Ensure Competence in Information and Communication Technology for Professional Practice in Ireland

Creedon

Cummins²

2012

CIN: Computers, Informatics, Nursing

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Experiences gained from delivering a Health Informatics for Nurses course in a school of nursing and midwifery in a university teaching hospital in Ireland suggest that Web-based courses may facilitate an enhanced understanding of course content. Nursing education must recognize the importance of information and communication technology in nursing to prepare the nursing and midwifery profession to embrace current advances in information and communication technology in healthcare in Ireland, and ultimately to benefit patient care.

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“…The appropriate application of computer science and associated technology has extended medical care beyond traditional diagnosis and patient management, resulting in extensive cost efficiencies and improved public health outcomes [15]. Areas of medical informatics application include patient records, practice management, clinical measurements, patient education, prescription writing, Web/database resources, clinical records, data collection, clinical decision support, and clinical measurements.…”

Section: Introductionmentioning

confidence: 99%

HIV Drug-Resistant Patient Information Management, Analysis, and Interpretation

Singh¹,

Mars²

2012

JMIR Res Protoc

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IntroductionThe science of information systems, management, and interpretation plays an important part in the continuity of care of patients. This is becoming more evident in the treatment of human immunodeficiency virus (HIV) and acquired immune deficiency syndrome (AIDS), the leading cause of death in sub-Saharan Africa. The high replication rates, selective pressure, and initial infection by resistant strains of HIV infer that drug resistance will inevitably become an important health care concern. This paper describes proposed research with the aim of developing a physician-administered, artiﬁcial intelligence-based decision support system tool to facilitate the management of patients on antiretroviral therapy.MethodsThis tool will consist of (1) an artificial intelligence computer program that will determine HIV drug resistance information from genomic analysis; (2) a machine-learning algorithm that can predict future CD4 count information given a genomic sequence; and (3) the integration of these tools into an electronic medical record for storage and management.ConclusionThe aim of the project is to create an electronic tool that assists clinicians in managing and interpreting patient information in order to determine the optimal therapy for drug-resistant HIV patients.

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Information technology in primary health care

Cited by 32 publications

References 5 publications

Decision support at home (DS@HOME) – system architectures and requirements

Decision support at home (DS@HOME) – system architectures and requirements

Development of a Blended Model of Teaching and Learning for Nursing Students on Rostered Placement to Ensure Competence in Information and Communication Technology for Professional Practice in Ireland

HIV Drug-Resistant Patient Information Management, Analysis, and Interpretation

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