Standardized Feeding Protocols to Reduce Risk of Necrotizing Enterocolitis in Fragile Infants Born Premature or with Congenital Heart Disease: Implementation Science Needed.

Although a unit-adopted standardized feeding protocol (SFP) for neonates is standard of care, implementation strategies for SFPs vary across neonatal and pediatric intensive care. Besides improving growth and reducing feeding interruptions, SFPs reduce risk for necrotizing enterocolitis in infants with heart disease or born premature. The purpose of this article is to bridge the gap between recommended and actual care using SFPs.

The morningside initiative: collaborative development of a knowledge repository to accelerate adoption of clinical decision support.

The Morningside Initiative is a public-private activity that has evolved from an August, 2007, meeting at the Morningside Inn, in Frederick, MD, sponsored by the Telemedicine and Advanced Technology Research Center (TATRC) of the US Army Medical Research Materiel Command. Participants were subject matter experts in clinical decision support (CDS) and included representatives from the Department of Defense, Veterans Health Administration, Kaiser Permanente, Partners Healthcare System, Henry Ford Health System, Arizona State University, and the American Medical Informatics Association (AMIA). The Morningside Initiative was convened in response to the AMIA Roadmap for National Action on Clinical Decision Support and on the basis of other considerations and experiences of the participants. Its formation was the unanimous recommendation of participants at the 2007 meeting which called for creating a shared repository of executable knowledge for diverse health care organizations and practices, as well as health care system vendors. The rationale is based on the recognition that sharing of clinical knowledge needed for CDS across organizations is currently virtually non-existent, and that, given the considerable investment needed for creating, maintaining and updating authoritative knowledge, which only larger organizations have been able to undertake, this is an impediment to widespread adoption and use of CDS. The Morningside Initiative intends to develop and refine (1) an organizational framework, (2) a technical approach, and (3) CDS content acquisition and management processes for sharing CDS knowledge content, tools, and experience that will scale with growing numbers of participants and can be expanded in scope of content and capabilities. Intermountain Healthcare joined the initial set of participants shortly after its formation. The efforts of the Morningside Initiative are intended to serve as the basis for a series of next steps in a national agenda for CDS. It is based on the belief that sharing of knowledge can be highly effective as is the case in other competitive domains such as genomics. Participants in the Morningside Initiative believe that a coordinated effort between the private and public sectors is needed to accomplish this goal and that a small number of highly visible and respected health care organizations in the public and private sector can lead by example. Ultimately, a future collaborative knowledge sharing organization must have a sustainable long-term business model for financial support.

Multi-National, Multi-Institutional Analysis of Clinical Decision Support Data Needs to Inform Development of the HL7 Virtual Medical Record Standard.

An important barrier to the widespread dissemination of clinical decision support (CDS) is the heterogeneity of information models and terminologies used across healthcare institutions, health information systems, and CDS resources such as knowledge bases. To address this problem, the Health Level 7 (HL7) Virtual Medical Record project (an open, international standards development effort) is developing community consensus on the clinical information exchanged between CDS engines and clinical information systems. As a part of this effort, the HL7 CDS Work Group embarked on a multinational, collaborative effort to identify a representative set of clinical data elements required for CDS. Based on an analysis of CDS systems from 20 institutions representing 4 nations, 131 data elements were identified as being currently utilized for CDS. These findings will inform the development of the emerging HL7 Virtual Medical Record standard and will facilitate the achievement of scalable, standards-based CDS.

MASCAL: RFID tracking of patients, staff and equipment to enhance hospital response to mass casualty events.

Most medical facilities practice managing the large numbers of seriously injured patients expected during catastrophic events. During mass casualty events, as the demands on the healthcare team increase, and the challenges faced by managers escalate, workflow bottlenecks begin to develop and system capacity decreases. This paper describes MASCAL, an integrated software-hardware system designed to enhance management of resources at a hospital during a mass casualty situation. MASCAL uses active 802.11b asset tags to track patients, equipment and staff during the response to a disaster. The system integrates tag position information with data from personnel databases, medical information systems, registration applications and the US Navy's TACMEDCS triage application in a custom visual disaster management environment. MASCAL includes interfaces for a hospital command center, local area managers (emergency room, operating suites, radiology, etc.) and registration personnel. MASCAL is an operational system undergoing functional evaluation at the Naval Medical Center, San Diego, CA.

Neonatal outcomes with different betamethasone dosing regimens: a comparison.

OBJECTIVE: To determine any differences in neonatal outcomes when dosing betamethasone every 12 hours vs. 24 hoursfor anticipated preterm delivery. STUDY DESIGN: A retrospective review of births at <36 weeks' gestation from January 1, 1996, to July 1, January 1, 1996, to July 1, 2000. Maternal and neonatal charts were reviewed. The deliveries were separated into 3 groups: those not receiving antenatal corticosteroids, those who received betamethasone 12 hours apart and those who received 24-hour dosing. Demographic, obstetric and neonatal variables were compared between the groups. RESULTS: There were 909 deliveries analyzed. With the 2 betamethasone groups, a significant difference was found for more maternal antibiotic use (90.4% vs. 83.6%, p=0.03), venous cord blood gas pH (7.31 vs. 7.32, p=0.04) and neonatal surfactant use (39.8% vs. 25.5%, p = 0.001) in the 12-hour group as compared to the 24-hour group. For all other outcomes there was no difference. CONCLUSION: Outcomes using a 12-hour dosing schedule of betamethasone were similar to those using a 24-hour regimen in this retrospective review. Twelvehour dosing could be considered an alternative way to deliver antenatal corticosteroids.