An Automatic System for Helping Health Consumers to Understand Medical Texts

Medical texts (reports, articles, etc.) are usually written by professionals (physicians, medical researchers, etc.) who use their own language and communication style. On the other hand, these texts are often read by health consumers (as in the case of medical reports) who do not have the same skills and vocabularies of the experts and can have difficulties in text comprehension. To help a health consumer in understanding a medical text, it would be desirable to have an automatic system that, given a text written with medical (technical) terms, translates them in simple or plain language and provides additional information with the same kind of language. We have designed such a system. It processes online medical documents and provides health consumers with the needed information for their understanding. To this end, we use a medical vocabulary for finding the technical terms in the medical texts, a consumer health vocabulary (CHV) for translating the technical terms into their consumer equivalents and a health-consumer dictionary for finding supplementary information on the terms. We have built a prototype that processes Italian medical reports and uses infobuttons next to the technical terms for allowing easy retrieval of the desired information

An "infobutton" for enabling patients to interpret on-line Pap smear reports.

We describe the development of a prototype application that would allow patients with little or no medical background to understand their Pap smear reports. This information button, or "infobutton", is attached to on-line text reports describing Pap smear results present in a medical record system intended for patient access (PatCIS). The infobutton application generates an explanation of terms present in the report and a list of questions related to the terms in the report, which link to publicly accessible resources on the Web

Intention To Use A Personal Health Record (phr) A Cross Sectional View Of The Characteristics And Opinions Of Patients Of One Internal Medicine Practice

A personal health record (PHR) allows a patient to exert control over his/her healthcare by enhancing communication with healthcare providers. According to research, patients find value in having access to information contained in their medical records. Often a glossary is required to aid in interpreting the information and understanding the content. However, giving patients the ability to speak with providers about their medical conditions empowers them to participate as informed healthcare consumers. The majority of patients (75%) at Medical Specialists expressed their intention to adopt the PHR if it is made available to them. Although the perceived usefulness of a PHR was a significant determining factor, comfort level with technology, health literacy, and socioeconomic status were indirectly related to intention to adopt as well. Perceived health status was not found to be a significant factor in this population for determining intention to adopt a PHR. The majority of patients in each category of gender, age, marital status, and race/ethnicity (except American Indian/Alaska Native) expressed interest in adopting a PHR, with most categories being above 70%. Findings indicate a broad acceptance of this new technology by the patients of Medical Specialists. Improvement of adoption and use rates may depend on availability of office staff for hands-on training as well as assistance with interpretation of medical information. Hopefully, over time technology barriers will disappear, and usefulness of the information will promote increased demand

Clinical foundations and information architecture for the implementation of a federated health record service

Clinical care increasingly requires healthcare professionals to access patient record information that may be distributed across multiple sites, held in a variety of paper and electronic formats, and represented as mixtures of narrative, structured, coded and multi-media entries. A longitudinal person-centred electronic health record (EHR) is a much-anticipated solution to this problem, but its realisation is proving to be a long and complex journey. This Thesis explores the history and evolution of clinical information systems, and establishes a set of clinical and ethico-legal requirements for a generic EHR server. A federation approach (FHR) to harmonising distributed heterogeneous electronic clinical databases is advocated as the basis for meeting these requirements. A set of information models and middleware services, needed to implement a Federated Health Record server, are then described, thereby supporting access by clinical applications to a distributed set of feeder systems holding patient record information. The overall information architecture thus defined provides a generic means of combining such feeder system data to create a virtual electronic health record. Active collaboration in a wide range of clinical contexts, across the whole of Europe, has been central to the evolution of the approach taken. A federated health record server based on this architecture has been implemented by the author and colleagues and deployed in a live clinical environment in the Department of Cardiovascular Medicine at the Whittington Hospital in North London. This implementation experience has fed back into the conceptual development of the approach and has provided "proof-of-concept" verification of its completeness and practical utility. This research has benefited from collaboration with a wide range of healthcare sites, informatics organisations and industry across Europe though several EU Health Telematics projects: GEHR, Synapses, EHCR-SupA, SynEx, Medicate and 6WINIT. The information models published here have been placed in the public domain and have substantially contributed to two generations of CEN health informatics standards, including CEN TC/251 ENV 13606

Personalized patient education and the internet : Linking health information to the Electronic Patient Record : STEPPS in burn care

Väitöskirja, sis. artikkelitSTEPPS = STructured Evaluated Personalized Patient Support = Rakenteinen, arvioitu ja yksilöllistetty potilastuk