#Seriesstateholder icefaces software
#Seriesstateholder icefaces trial

Five RCTs had positive results and the remaining four RCTs showed that the interventions had no effect. Nine randomized controlled trials (RCTs) and 35 other studies including quasi-experimental, usability, feasibility, qualitative studies, or development/validation studies of analytic models. The search yielded 1907 articles 44 were included. Data was extracted independently by two reviewers.

#Seriesstateholder icefaces trial

The search included a forward citation search of studies nested within a clinical trial to identify the clinical trial protocol and published clinical trial results. The search was supplemented by manually searching the bibliographic sections of the included studies. Abstracts were reviewed iteratively to refine inclusion and exclusion criteria. Structured search queries were created and validated. We identified studies of health IT interventions for PLWMCC across three domains: self-management support, care coordination, and algorithms to support clinical decision-making. We searched MEDLINE, CINAHL, PsycINFO, EMBASE, Compendex, and IEEE Xplore databases for studies published in English between 2010-2020. To review evidence regarding the use of Health Information Technology (health IT) interventions aimed at improving care for people living with multiple chronic conditions (PLWMCC) in order to identify critical knowledge gaps. Although the results obtained for use indicators are still not as high as it was expected, based on the promising results obtained in the acceptance questionnaire of SMP, we expect that the new CDS tools will increase the use by the health professionals.

Open source with the social network encourages adoption and facilitates collaboration.

#Seriesstateholder icefaces software

The application of interoperability standards and open source software can bridge the gap between knowledge and clinical practice, while enabling interoperability and scalability. Agreed decisions were about coordination for appointment changing, patient conditions, diagnosis tests, and prescription changes and renewal. They will receive the patient summary information provided by the regional Electronic Health Record system through a web service with the information defined according to the virtual Medical Record specification.Ĭlinical Wall has been developed to allow communication and coordination between the healthcare professionals involved in multimorbidity patient care. As part of the SCP, opensource tools for CDS will be incorporated to provide recommendations for medication and problem interactions, as well as to calculate indexes or scales from validated questionnaires. The professionals valued positively all the items in the questionnaire. 12 of the 16 record (75%) were answered by the destination health professionals. A total of 10 professionals took part in the exchange of messages: 3 internists and 7 general practitioners generated 33 messages. From March to September 2012 we created 16 records in the Clinical Wall, all with a high priority. The pilot project lasted 6 months in the hospital and 2 primary care centers. In March 2012 we released and deployed the SCP, but only with the social network component. We conducted a pilot study to assess the use and acceptance of the SCP by healthcare professionals through questionnaire based on the theory of the Technology Acceptance Model. The Clinical Wall contains a record where health professionals are able to debate and define shared decisions. The SCP has two consecutively developed components: social network component, called Clinical Wall, and Clinical Decision Support (CDS) system. As part of the first stage of the project, this paper describes the results obtained in a pilot study about acceptance and use of the social network component in our healthcare setting.Īt Virgen del Rocío University Hospital we have designed and developed the Shared Care Platform (SCP) to provide support in the continuity of care for multimorbidity patients. We describe the architecture to incorporate decision support functionalities in a social network tool to enable the adoption of shared decisions among health professionals from different care levels. Our objective is to develop a tool for collaborative work among health professionals for multimorbidity patient care. This is highly relevant for multimorbidity patients care because there is a large number of health professionals in charge of patient care, and this requires to obtain clinical consensus in their decisions.

Social networks applied through Web 2.0 tools have gained importance in health domain, because they produce improvements on the communication and coordination capabilities among health professionals.