Procedure prediction from symbolic Electronic Health Records via time intervals analytics.

Prediction of medical events, such as clinical procedures, is essential for preventing disease, understanding disease mechanism, and increasing patient quality of care. Although longitudinal clinical data from Electronic Health Records provides opportunities to develop predictive models, the use of these data faces significant challenges. Primarily, while the data are longitudinal and represent thousands of conceptual events having duration, they are also sparse, complicating the application of traditional analysis approaches. Furthermore, the framework presented here takes advantage of the events duration and gaps. International standards for electronic healthcare data represent data elements, such as procedures, conditions, and drug exposures, using eras, or time intervals. Such eras contain both an event and a duration and enable the application of time intervals mining - a relatively new subfield of data mining. In this study, we present Maitreya, a framework for time intervals analytics in longitudinal clinical data. Maitreya discovers frequent time intervals related patterns (TIRPs), which we use as prognostic markers for modelling clinical events. We introduce three novel TIRP metrics that are normalized versions of the horizontal-support, that represents the number of TIRP instances per patient. We evaluate Maitreya on 28 frequent and clinically important procedures, using the three novel TIRP representation metrics in comparison to no temporal representation and previous TIRPs metrics. We also evaluate the epsilon value that makes Allen's relations more flexible with several settings of 30, 60, 90 and 180days in comparison to the default zero. For twenty-two of these procedures, the use of temporal patterns as predictors was superior to non-temporal features, and the use of the vertically normalized horizontal support metric to represent TIRPs as features was most effective. The use of the epsilon value with thirty days was slightly better than the zero.

Aero-medical evacuation from the second Israel-Lebanon war: a descriptive study.

UNLABELLED: The second Lebanon war started as a limited operation and progressed to a large-scale campaign. Most of the fighting took place in mountainous villages and small towns inhabited with civilians. The Israeli Defense Forces (IDF) Airborne rescue and evacuation unit is charged with air evacuation of soldiers and civilians in times of peace, limited conflict, and war. OBJECTIVE: We describe this unit's activities in the second Lebanon war, analyzing injury, treatment, and evacuation characteristics METHODS: Data were collected from flight medical reports, debriefings of aero-medical team members (usually immediately upon return from mission), ground units medical reports and debriefings, and hospital records. RESULTS: 725 IDF soldiers were injured and 117 killed either in Lebanon or near the Israeli-Lebanese border during the war. A total of 338 (46%) were evacuated in 95 airlifts (averaging 4.5 evacuees per airlift) from the fighting zones or the border. Air evacuation used dedicated helicopters with advanced care capacities, and most victims were evacuated straight from the battlefield, as the fighting was ensuing. Many wounded first received advanced medical care upon the arrival of the aero-medical teams. CONCLUSIONS: In military operations within civilian populated areas with threats to ground transport, air evacuation can sometimes be the only readily available option. Providing timely ground advanced medical care proved difficult in many instances. Thus, for many, the rescue helicopter was the first point of access to such care. Aero-medical aircrafts and personnel faced threats from gunfire and missiles, causing both delays in evacuation and a high average number of evacuees per airlift. This article proposes ways of coping with situations in which similar rescue and evacuation problems are likely.

A comparative evaluation of full-text, concept-based, and context-sensitive search.

OBJECTIVES: Study comparatively (1) concept-based search, using documents pre-indexed by a conceptual hierarchy; (2) context-sensitive search, using structured, labeled documents; and (3) traditional full-text search. Hypotheses were: (1) more contexts lead to better retrieval accuracy; and (2) adding concept-based search to the other searches would improve upon their baseline performances. DESIGN: Use our Vaidurya architecture, for search and retrieval evaluation, of structured documents classified by a conceptual hierarchy, on a clinical guidelines test collection. MEASUREMENTS: Precision computed at different levels of recall to assess the contribution of the retrieval methods. Comparisons of precisions done with recall set at 0.5, using t-tests. RESULTS: Performance increased monotonically with the number of query context elements. Adding context-sensitive elements, mean improvement was 11.1% at recall 0.5. With three contexts, mean query precision was 42% +/- 17% (95% confidence interval [CI], 31% to 53%); with two contexts, 32% +/- 13% (95% CI, 27% to 38%); and one context, 20% +/- 9% (95% CI, 15% to 24%). Adding context-based queries to full-text queries monotonically improved precision beyond the 0.4 level of recall. Mean improvement was 4.5% at recall 0.5. Adding concept-based search to full-text search improved precision to 19.4% at recall 0.5. CONCLUSIONS: The study demonstrated usefulness of concept-based and context-sensitive queries for enhancing the precision of retrieval from a digital library of semi-structured clinical guideline documents. Concept-based searches outperformed free-text queries, especially when baseline precision was low. In general, the more ontological elements used in the query, the greater the resulting precision.

Experiments with hierarchical concept-based search.

Many digital libraries use hierarchical indexing schema, such as MeSH to enable concept based search in the retrieval phase. However, improving or outperforming the traditional full text search isn't trivial. We present an extensive set of experiments using a hierarchical concept based search retrieval method, applied in addition to several baselines, within the Vaidruya search and retrieval framework. Concept Based Search applied in addition to a low baseline is outperforming significantly, especially when queried on concepts in the third level and using disjunction within the hierarchical trees.

Naval casualty management training using human patient simulators.

BACKGROUND: Extended-evacuation or austere environments (e.g. naval, immature or depleted combat zones) are characterized by the lack of resources to facilitate medical evacuation in the "Golden Hour" from moment of injury. This may require the primary caregiver, often a relatively inexperienced general physician or EMT, to administer extended medical care in the field. We describe the Shipboard and Underwater Casualty Care and Sedation Simulation (SUCCeSS) program in the Israeli Navy, intended to train caregivers for extended prehospital intensive casualty care using high fidelity life-size simulation mannequins set up onboard corvettes or submarines during maneuvers, in maximally realistic conditions. Twenty two general physicians and EMTs in 12 teams were enrolled in the program in the years 2011-2013. Two to three hour long training sessions were headed by senior surgeons and anesthesiologists using flexible scripts enabling the mannequin operators to react to caregivers' actions and their consequences. Trainee evaluation was performed by the preceptors using semi-structured forms taking into account both critical treatment decisions and observation on the effects of actions taken. Trainees also completed self-report CRM (Crisis Resource Management) questionnaires before and after the sessions. RESULTS: Success of the trainees correlated with an evaluation score above 72%. The mean overall CRM score for team leaders post exercise was 74.64%, an improvement of 10% over pre-exercise scores (p < 0.0001). CONCLUSION: Caregiver self-perceived competence and self-sufficiency in treating casualties at sea was improved via high fidelity simulation in theatre using realistic naval casualty care situations. We discuss the relative strengths and weaknesses of our training program for the teaching of "NCM", or Naval Casualty Management, as well as the emergent concepts of the military extended evacuation environment.