Dan Myung

Communicating data from wireless sensor networks using the HL7v3 standard

In order for new and emerging physiologic sensors to play increasingly larger roles in the monitoring and management of ill and injured patients, the information they generate must be standardized in an XML format so that it can be integrated with the developing patient care record. To satisfy this need, we have built a prototype sensor gateway that communicates sensor data via HL7v3 messaging using SOAP transport and XML encoded data. We have connected the sensor gateway to a working sensor network called CodeBlue

An intelligent pre-hospital patient care system.

iRevive is a sensor-supported, pre-hospital patient care system for the capture and transmittal of electronic patient data from the field to hospitals. It is being developed by 10Blade and Boston MedFlight. iRevive takes advantage of emerging technologies to offer a robust, flexible, and extensible IT infrastructure for patient data collection.

Designing infrastructure to exchange Electronic Medical Records with web services

This paper discusses how to share medical information between heterogeneous applications via web services. Our design theory is based on a real-options framework, performance analysis and experience building iRevive, a working web-services-enabled pre-hospital documentation application. The trade-offs between efficiency and flexibility are examined in the context of exchanging information based on emerging standards in the healthcare world. These trade-offs are quantified using a real-options approach. We illustrate the importance of uncertainty in deciding the architecture enabling an application to access medical information from Electronic Medical Records (EMRs).

A standardised pre-hospital electronic patient care system

This paper describes the design, development and testing of a pre-hospital documentation and patient monitoring application called iRevive. The application utilises a sensor gateway and data mediator to enable semantic interoperability with a wide variety of medical devices and applications. Initial test results indicate that complete and consistent pre-hospital Electronic Medical Records (EMR) can be semantically exchanged with two heterogeneous, in-hospital IT applications.

iRevive: a pre-hospital database system for emergency medical services

Most emergency medical service (EMS) events are documented by hand. We have implemented a new paradigm: the electronic Patient Care Record (PCR) for emergency medical field usage with a system called iRevive that functions as a mobile database application. This paper discusses a field trial of iRevive in the context of improving the design and usability of the handheld device by incorporating feedback from users. Also included is a brief overview of our nations EMS system, emphasising the urgent need to adopt new types of information technology to link pre-hospital information with the hospital record, a description of iRevive and a discussion on barriers to implementation. iRevive is a mobile database application that is designed to facilitate the collection and management of pre-hospital data. It allows point-of-care data capture in an electronic format and is equipped with individual patient sensors to automatically capture vital sign data. Patient information from the field is wirelessly transmitted to a back end server, which uses web service standards to promote interoperability with disparate hospital information systems, various billing agencies, and a wide variety of research applications.

Human Computer Interaction in the Pre-Hospital Setting

This paper describes the human computer interface of a new emergency medical services application, which uses several emerging technologies to clarify the inherent complexity and uncertainty of emergency pre-hospital patient care. These technologies include: 1) the integration and display of real-time physiological sensor data in parallel with manually entered human observations and treatments, 2) a meta-data approach to screen definitions to allow dynamic configuration, and 3) a rule-based data capture system to ensure complete and accurate data collection. These new technologies led us to design a flexible and efficient GUI that is capable of evolving as technology and medical science advance