Synthesizing information from multiple real-time data sources to generate an intelligent and coherent assessment of a patient's underlying hemodynamic condition is of vital importance for the development of intelligent medical monitors. Dr. Dean Sittig is currently directing the development of a prototype intelligent cardiovascular monitor (ICM). The proposed project builds on this work and includes: 1) identifying medically meaningful trends and artifacts from multiple real-time data sources, 2) generating patient-specific """"""""smart"""""""" alarms, and 3) testing and refinement of algorithms designed to recognize several basic hemodynamic abnormalities (e.g., hypovolemia or cardiac tamponade, etc.). This proposed research project will focus particularly on the intelligent synthesis of information derived from multiple real-time data sources (i.e., the trend detection, artifact recognition, and physiological state determination algorithms) to generate a more systematic assessment of a patient's hemodynamic status. Finally, we will test a prototype of the ICM using data from the intensive care unit and the operating room. Trends and artifacts detected, alarms generated, and hemodynamic abnormalities recognized will be compared with a """"""""gold standard"""""""" annotated medical record generated by the clinical staff, to help assess the utility of the monitor in terms of the goals listed above.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
First Independent Research Support & Transition (FIRST) Awards (R29)
Project #
1R29LM005284-01
Application #
3474515
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Project Start
1991-06-01
Project End
1991-12-31
Budget Start
1991-06-01
Budget End
1991-12-31
Support Year
1
Fiscal Year
1991
Total Cost
Indirect Cost
Name
Yale University
Department
Type
Schools of Medicine
DUNS #
082359691
City
New Haven
State
CT
Country
United States
Zip Code
06520
Sittig, D F; Gandhi, T K; Franklin, M et al. (1999) A computer-based outpatient clinical referral system. Int J Med Inform 55:149-58
Sittig, D F; Franklin, M; Turetsky, M et al. (1998) Design and development of a computer-based clinical referral system for use within a physician hospital organization. Medinfo 9 Pt 1:98-102
Sittig, D F; Greeno, S (1996) Re-engineering healthcare: computer tools support the definition and analysis of work at the Vanderbilt University Hospital and Clinic. J Med Syst 20:423-38
Chisnell, C; Dunn, K; Sittig, D F (1995) Determining educational needs for the biomedical library customer: an analysis of end-user searching in MEDLINE. Medinfo 8 Pt 2:1423-7
Dunn, K; Chisnell, C; Sittig, D F (1995) A quantitative method for measuring clinical user journal needs: a pilot study using CD Plus MEDLINE usage statistics. Medinfo 8 Pt 2:1428-32
Sittig, D F; Kaalaas-Sittig, J (1995) A citation analysis of medical informatics journals. Medinfo 8 Pt 2:1452-6
Stead, W W; Sittig, D F (1995) Building a data foundation for tomorrow's healthcare information management systems. Int J Biomed Comput 39:127-31
Jiang, M Z; Sittig, D F (1995) Developing interactive computer-based simulations: an object-oriented development methodology enhances computer-assisted instruction. Comput Methods Programs Biomed 47:189-96
Sittig, D F; Jiang, Z; Manfre, S et al. (1995) Evaluating a computer-based experiential learning simulation: a case study using criterion-referenced testing. Comput Nurs 13:17-24
Dunn, K; Chisnell, C; Szak, S et al. (1994) A quantitative method for measuring library user journal needs: a pilot study using CD plus MEDLINE usage statistics. Proc Annu Symp Comput Appl Med Care :108-12

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