Health and Clinical Management:

Summary

Objectives

Summarize some of last year’s best research in the field of Health and Clinical Management.

Method

Synopsis of articles selected for the IMIA Yearbook 2012.

Results

Five articles, from international peer-reviewed journals, have been selected in this section.

Conclusions

The selected articles illustrate some of the topics of health and clinical management: from patient safety issues over the possibilities offered by technological devices to building knowledge from data present in electronic patient records.

Keywords

Medical informatics - International Medical Informatics Association - Yearbook - Management - Patient Care Management - Public Health Informatics

• References

• 1 Randell R, Wilson S, Woodward P. The importance of the verbal shift handover report: a multi-site case study. Int J Med Inform 2011; Nov; 80 (11) 803-12.
• 2 Remen VM, Grimsmo A. Closing information gaps with shared electronic patient summaries: how much will it matter?. Int J Med Inform 2011; Nov; 80 (11) 775-81.
• 3 Hsu MH, Yeh YT, Chen CY, Liu CH, Liu CT. Online detection of potential duplicate medications and changes of physician behavior for outpatients visiting multiple hospitals using national health insurance smart cards in Taiwan. Int J Med Inform 2011; Mar; 80 (03) 181-9. Epub 2010 Dec 22.
• 4 Wright A, Pang J, Feblowitz JC, Maloney FL, Wilcox AR, Ramelson HZ. et al. A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record. J Am Med Inform Assoc 2011; Nov-Dec; 18 (06) 859-67. Epub 2011 May 25.
• 5 Joshi GD, Sivaswamy J. DrishtiCare: A Telescreening Platform for Diabetic Retinopathy Powered with Fundus Image Analysis. J Diabetes Sci Technol 2011; Jan 1; 05 (01) 23-31.
• 6 Hirose H, Takayama T, Hozawa S, Hibi T, Saito I. Prediction of metabolic syndrome using artificial neural network system based on clinical data including insulin resistance index and serum adiponectin. Comput Biol Med 2011; Nov; 41 (11) 1051-6.
• 7 Woller SC, Stevens SM, Jones JP, Lloyd JF, Evans RS, Aston VT, Elliott CG. Derivation and validation of a simple model to identify venous thromboembolism risk in medical patients. Am J Med 2011; Oct; 124 (10) 947-54. e2.
• 8 Chang YT, Syed-Abdul S, Tsai CY, Li YC. A novel method for inferring RFID tag reader recordings into clinical events. Int J Med Inform 2011; Dec; 80 (12) 872-80.
• 9 Robicsek A, Beaumont JL, Wright MO, Thomson Jr RB, Kaul KL, Peterson LR. Electronic prediction rules for methicillin-resistant Staphylococcus aureus colonization. Infect Control Hosp Epidemiol 2011; Jan; 32 (01) 9-19.
• 10 Roque FS, Jensen PB, Schmock H, Dalgaard M, Andreatta M, Hansen T, Søeby K, Bredkjær S, Juul A, Werge T, Jensen LJ, Brunak S. Using electronic patient records to discover disease correlations and stratify patient cohorts. PLoS Comput Biol 2011; Aug; 07 (08) e1002141.
• 11 Tatonetti NP, Fernald GH, Altman RB. A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports. J Am Med Inform Assoc 2012; Jan 1; 19 (01) 79-85.
• 12 Waitman LR, Phillips IE, McCoy AB, Danciu I, Halpenny RM, Nelsen CL, Johnson DC, Starmer JM, Peterson JF. Adopting real-time surveillance dashboards as a component of an enterprisewide medication safety strategy. Jt Comm J Qual Patient Saf 2011; Jul; 37 (07) 326-32.