A continuum of sociotechnical requirements for patient-centered problem lists.

Specific requirements for patient-centered health information technology remain ill-defined. To create operational definitions of patient-centered problem lists, we propose a continuum of sociotechnical requirements with five stages: 1) Intradisciplinary Care Planning: Viewing and searching for problems by discipline; 2) Multi-disciplinary Care Planning: Categorizing problem states to meet discipline-specific needs; 3) Interdisciplinary Care Planning: Sharing and linking problems between disciplines; 4) Integrated and Coordinated Care Planning: Associating problems with assessments, tasks, interventions and outcomes across disciplines for coordination, knowledge development, and reporting; and 5) Patient-Centered Care Planning: Engaging patients in identification of problems and maintenance of their problem list.

Instructions to "push as hard as you can" improve average chest compression depth in dispatcher-assisted cardiopulmonary resuscitation.

Background And Objective: Cardiopulmonary resuscitation (CPR) with adequate chest compression depth appears to improve first shock success in cardiac arrest. We evaluate the effect of simplification of chest compression instructions on compression depth in dispatcher-assisted CPR protocol.

Methods: Data from two randomized, double-blinded, controlled trials with identical methodology were combined to obtain 332 records for this analysis.

Instructions to "put the phone down" do not improve the quality of bystander initiated dispatcher-assisted cardiopulmonary resuscitation.

Objective: The quality of early bystander CPR appears important in maximizing survival. This trial tests whether explicit instructions to "put the phone down" improve the quality of bystander initiated dispatch-assisted CPR.

Methods: In a randomized, double-blinded, controlled trial, subjects were randomized to a modified version of the Medical Priority Dispatch System (MPDS) version 11.

Development and testing of an algorithm for efficient resource positioning in pre-hospital emergency care.

Response times for pre-hospital emergency care may be improved with the use of algorithms that analyzes historical patterns in incident location and suggests optimal places for pre-positioning of emergency response units. We will develop such an algorithm based on cluster analysis and test whether it leads to significant improvement in mileage when compared to actual historical data of dispatching based on fixed stations.