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Ation management compared to current efficacies of physicians and medical specialists. An increased risk of adverse events may explain the fact that too few patients with increased risk of thromboembolic events receive oral anticoagulant therapy. Only 12?0 of patients with atrial fibrillation and increased risks of thromboembolic events received anticoagulation treatment. Such findings may be partly explained by contraindications, but often it is a subjective decision by physicians to treat a patient with oral anticoagulant therapy or not [25,26]. In one stroke trial 18 of patients experienced atrial fibrillations and 70 had atrial fibrillations diagnosed before the stroke, but only 21 of these patients received anticoagulation treatment and many thromboembolic events PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/744568 could presumably be avoided by anticoagulation treatment [25]. Oral anticoagulant therapy is demanding for the patient, and an increasing number of patients increase hospital workloads. Self-monitored oral anticoagulant therapy, where a patient measures INR by using a coagulometer at home, decreases the workload of both patients and therapists. Thus our study supports the growing positive evidence of using computer-assisted oral anticoagulation,Rasmussen et al. Thrombosis Journal 2012, 10:17 http://www.thrombosisjournal.com/content/10/1/Page 6 ofbecause the quality and costs of computer-assisted oral anticoagulation therapy were equal or better than traditional oral anticoagulation therapy performed by physicians. Such findings may lead to an increased use of oral anticoagulation therapies and reduce risks of thromboembolic strokes.3. 4.5. 6.Conclusions and suggestions for future research Results from PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/3081428 our study showed that dosing algorithms matched the performance of physicians, and future optimizations of dosing algorithms, possibly including pharmacogenetics, may provide more time in the TTR, reduce the involvement of physicians or medical specialists in dose calculations and expand the cost-effectiveness of computerassisted oral anticoagulation therapies. Additional fileAdditional file 1: Computer-assisted algorithms. Patients assigned to computer-assisted algorithms were Fmoc-Oic-OH treated according to this scheme from day 1 to day 12 or day 15 (6). An example of using the table above: After 4 days of 5 mg daily warfarin treatment (5 mg = 2 tablets) the INR was 2.6. According to point 3, the patient should continue with 1 tablet daily. Day 8 INR was 2.0. According to point 4, the patient should hereafter continue treatment with 8 tablets per week. Point 5 shows that INR should be controlled again at day 15. Abbreviations INR: International normalized ratio; TTR: Therapeutic target range. Competing interest There are no competing interests. Authors' contributions All authors have made substantial contributions to the conception, design, analysis and interpretation of data, and the drafting of the manuscript. All authors have approved the published version of the manuscript. Acknowledgements The Ministry for Science, Technology and Development has supported this investigation with dkr. 2,647,200.00 and the Board of Directors at the Administrative Headquarters 3-Nitro-6-(trifluoromethyl)pyridin-2(1H)-one of The Capital Region of Danish Hospitals have supported this investigation with dkr. 850,000.00. Private foundations have provided a total support of dkr. 1,100,000.00. Project-associated nurse Per Nielsen is thanked for his participation in this investigation. Author details 1 University Hospital of Copenhagen, Herlev Ho.