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PubMed1997

Developing a secure healthcare information network on the Internet.

Healthcare professionals across the country are using the Internet for a variety of activities, including the transmission of medical record data via e-mail. The transmission of confidential information, however, is a serious concern of healthcare consumers, providers, and payers alike. At Indiana University School of Medicine, security on the Internet is no longer a concern. The Internet is, in fact, the heart of a healthcare information network currently in development for the Indianapolis area. A complex set of encryption/decryption algorithms and user identifier and private passwords currently in development should greatly reduce the risk of security breach on the network.

Community Networks↗
PubMed2000

Transforming XML-based electronic patient records for use in medical case based reasoning systems.

Electronic patient records (EPR) can be regarded as an implicit source of clinical behaviour and problem-solving knowledge, systematically compiled by clinicians. We present an approach, together with its computational implementation, to pro-actively transform XML-based EPR into specialised Clinical Cases (CC) in the realm of Medical Case Base Systems. The 'correct' transformation of EPR to CC involves structural, terminological and conceptual standardisation, which is achieved by a confluence of techniques and resources, such as XML, UMLS (meta-thesaurus) and medical knowledge ontologies. We present below the functional architecture of a Medical Case-Base Reasoning Info-Structure (MCRIS) that features two distinct, yet related, functionalities: (1) a generic medical case-based reasoning system for decision-support activities; and (2) an EPR-CC transformation system to transform typical EPR's to CC.

Artificial Intelligence↗
PubMed2001

An open, component-based information infrastructure to support integrated regional healthcare networks.

A fundamental requirement for achieving continuity of care is the seamless sharing of multi-clinical information. Several different technological approaches can be followed to enable the sharing of health record segments. In all cases interoperability between systems is a prerequisite and this requires presently a major technological challenge. Inter-operability can be achieved either through messages or through a more advanced approach based on a federation of autonomous systems. Message based integration is centered mainly on the exchange of HL7 and DICOM messages for achieving the functional integration of clinical information systems (CIS) at institutional or regional level. The federated approach is principally used for facilitating the virtual view of the Integrated Electronic Health Record (I-EHR), without having to replicate unnecessary information. Within the context of HYGEIAnet, which is the regional health telematics network of Crete, both approaches have been utilized for providing end users with seamless access to clinical information. Both are based on an open architecture, which provides the framework for the reuse of standardized common components and public interfaces. This work presents the experiences related to the implementation of "messaging" and "federating" in HYGEIAnet, which are used complementary to each other. A comparison of the two parallel approaches, together with their strengths and weaknesses is described, and evaluation is given from the technological as well as the end users' perspective. Emphasis is given on the technological challenges in developing open, component-based information infra-structure to support integrated service delivery.

Computer Communication Networks↗
PubMed2001

Evaluation of negation phrases in narrative clinical reports.

OBJECTIVE: Automatically identifying findings or diseases described in clinical textual reports requires determining whether clinical observations are present or absent. We evaluate the use of negation phrases and the frequency of negation in free-text clinical reports. METHODS: A simple negation algorithm was applied to ten types of clinical reports (n=42,160) dictated during July 2000. We counted how often each of 66 negation phrases was used to mark a clinical observation as absent. Physicians read a random sample of 400 sentences, and precision was calculated for the negation phrases. We measured what proportion of clinical observations were marked as absent. RESULTS: The negation algorithm was triggered by sixty negation phrases with just seven of the phrases accounting for 90% of the negations. The negation phrases received an overall precision of 97%, with "not" earning the lowest precision of 63%. Between 39% and 83% of all clinical observations were identified as absent by the negation algorithm, depending on the type of report analyzed. The most frequently used clinical observations were negated the majority of the time. CONCLUSION: Because clinical observations in textual patient records are frequently negated, identifying accurate negation phrases is important to any system processing these reports.

Algorithms↗
PubMed2002

Validation of electronic student encounter logs in an emergency medicine clerkship.

Handheld electronic patient encounter logs offer opportunities to understand and enhance medical students' clinical experiences. Before using the data, the reliability of log entries needs to be verified. We assessed the sensitivity and specificity of handheld patient encounter logs by comparing documented entries with reliable external data sources. During an Emergency Medicine clerkship, medical students voluntarily recorded their patients' diagnoses in an Electronic Student Encounter Log (E-SEL) on handheld computers. We used patient demographics to match anonymous log entries with medical charts. Most students recorded 60% or more of their patient encounters and on average 60% of their patients' medical problems in the log. The false positive rate was 26% for patient encounters and 19% for patient problems. In general, students recorded more diagnoses in more detail than was available in the patient's ED chart. Improvements in the log's interface and documentation incentives should enhance the log's accuracy and utility.

Clinical Clerkship↗
PubMed2002

Developing a Public Key Infrastructure for a secure regional e-Health environment.

OBJECTIVES: Internet technologies provide an attractive infrastructure for efficient and low cost communications in regional health information networks. The advantages provided by the Internet come however with a significantly greater element of risk to the confidentiality and integrity of information. This is because the Internet has been designed primarily to optimize information sharing and interoperability, not security. The main objective of this paper is to propose the exploitation of public-key cryptography techniques to provide adequate security to enable secure healthcare Internet applications. METHODS: Public-key cryptography techniques can provide the needed security infrastructure in regional health networks. In the regional health-care security framework presented in this paper, we propose the use of state-of-art Public Key Infrastructure (PKI) technology. Such on e-Health PKI consists of regional certification authorities that are implemented within the central hospitals of each region and provide their services to the rest of the healthcare establishments of the same region. RESULTS: Significant experience in this area has been gained from the implementation of the PKI@AUTH project. CONCLUSIONS: The developed PKI infrastructure already successfully provides its security services to the AHEPA university hospital. The same infrastructure is designed to easily support a number of hospitals participating in a regional health information network.

Computer Security↗
PubMed2003

Community clinical data exchange for emergency medicine patients.

Little is known about the opportunities for a community clinical data exchange network to influence patient care. Rates of patient "cross-over" among different institutions can provide one estimate of the additional value such systems have over unconnected, independent institutional electronic medical records. The Indiana Network for Patient Care (INPC) represents such a system, involving a collaboration of central Indiana hospitals to improve patient care. During a one year study period, 288,696 patients made 471,640 Emergency Department (ED) visits within the INPC collaboration -- accounting for 92% of all Indianapolis ED visits. Overall 25% of the patients with more than one visit also visited one of the other five hospital systems, accounting for 19% of all visits. Our results help clarify the expected frequency within one large metropolitan area that ED patients could obtain direct benefit from a community clinical data exchange network.

Community Networks↗
PubMed2002

Online health networks.

Healthcare networks function as a structural synergy serving the various healthcare actors, including the patient, who is the beneficiary. Medically speaking, they meet the need of healthcare professionals for targeted information sharing with regard to the medical record. Economically speaking, they may represent an added value and/or a diminution of costs, thus contributing to quality of care. The adoption of the same standards for all concerned servers is an absolute prerequisite if multidisciplinary applications are to be generated, as well as related services of an informational and educational nature.

Computer Security↗
PubMed2004

Context-sensitive medical information retrieval.

Substantial medical data such as pathology reports, operative reports, discharge summaries, and radiology reports are stored in textual form. Databases containing free-text medical narratives often need to be searched to find relevant information for clinical and research purposes. Terms that appear in these documents tend to appear in different contexts. The con-text of negation, a negative finding, is of special importance, since many of the most frequently described findings are those denied by the patient or subsequently "ruled out." Hence, when searching free-text narratives for patients with a certain medical condition, if negation is not taken into account, many of the retrieved documents will be irrelevant. The purpose of this work is to develop a methodology for automated learning of negative context patterns in medical narratives and test the effect of context identification on the performance of medical information retrieval. The algorithm presented significantly improves the performance of information retrieval done on medical narratives. The precision im-proves from about 60%, when using context-insensitive retrieval, to nearly 100%. The impact on recall is only minor. In addition, context-sensitive queries enable the user to search for terms in ways not otherwise available

Algorithms↗
PubMed2004

A Medical Association Hospital centered network for inter-institutional treatment in a regional area, Japan.

Munakata Medical Association Hospital is leading the way with its liaison system for electronic medical records and sharing medical information system in Munakata area clinics. A validity experiment was carried out from December 2001 to Autumn 2003 and over 600 patient joined the examination. 90% of the patients surveyed judged it to be convenient about using the system. Medical Image report is most usefull for clinic doctor. The PHS data communication system is easy to install and provides greater flexibility for users over a wider area. Thus, it has proven to be a useful tool for information communication in regional medical care.

Computer Communication Networks↗
PubMed2005

OOPS: test of a structure for recording patient safety events.

An Ontology Of Patient Safety (OOPS-II) for handheld interfaces was developed from a 6-axis primary care taxonomy of errors. Using a hand-held Electronic Student Encounter Log (ESEL), 3rd year medical students were asked to record data from 3 written scenarios involving medical errors. Students were encouraged to use a series of drop down menus to record error types. Students could augment their selections with free text. Although some variation existed, students' answers were much more consistent than in our previous interfaces.

Adult↗
PubMed1991

Estimating frequency of disease findings from combined hospital databases: a UMLS project.

Merging data from the Salt Lake VA hospital database and the LDS hospital HELP system into a UMLS sponsored unified patient database has demonstrated that distribution of variables within a disease is hospital independent. Although disease prevalence is clearly not the same among hospitals, analysis of data within a disease group across hospitals can be done using such a merged database. This unified patient database would allow study of unusual diseases not possible using data from a single institution.

Databases, Factual↗