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Items: 1 to 20 of 508

1.

Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials.

Jonnalagadda SR, Adupa AK, Garg RP, Corona-Cox J, Shah SJ.

J Cardiovasc Transl Res. 2017 Jun 5. doi: 10.1007/s12265-017-9752-2. [Epub ahead of print]

PMID:
28585184
2.

Performance specifications of critical results management.

Piva E, Sciacovelli L, Pelloso M, Plebani M.

Clin Biochem. 2017 Jul;50(10-11):617-621. doi: 10.1016/j.clinbiochem.2017.05.010. Epub 2017 May 25. Review.

PMID:
28552398
3.

A novel clinical decision support algorithm for constructing complete medication histories.

Long J, Yuan MJ.

Comput Methods Programs Biomed. 2017 Jul;145:127-133. doi: 10.1016/j.cmpb.2017.04.004. Epub 2017 Apr 18.

PMID:
28552118
4.

Tool-supported Interactive Correction and Semantic Annotation of Narrative Clinical Reports.

Zvára K, Tomečková M, Peleška J, Svátek V, Zvárová J.

Methods Inf Med. 2017 May 18;56(3):217-229. doi: 10.3414/ME16-01-0083. Epub 2017 Apr 28.

PMID:
28451691
5.

Extended use of electronic health records by primary care physicians: Does the electronic health record artefact matter?

Raymond L, Paré G, Marchand M.

Health Informatics J. 2017 Apr 1:1460458217704244. doi: 10.1177/1460458217704244. [Epub ahead of print]

PMID:
28434279
6.

Analysis of free text in electronic health records for identification of cancer patient trajectories.

Jensen K, Soguero-Ruiz C, Oyvind Mikalsen K, Lindsetmo RO, Kouskoumvekaki I, Girolami M, Olav Skrovseth S, Magne Augestad K.

Sci Rep. 2017 Apr 7;7:46226. doi: 10.1038/srep46226.

7.

Assessment of a personalized and distributed patient guidance system.

Peleg M, Shahar Y, Quaglini S, Broens T, Budasu R, Fung N, Fux A, García-Sáez G, Goldstein A, González-Ferrer A, Hermens H, Hernando ME, Jones V, Klebanov G, Klimov D, Knoppel D, Larburu N, Marcos C, Martínez-Sarriegui I, Napolitano C, Pallàs À, Palomares A, Parimbelli E, Pons B, Rigla M, Sacchi L, Shalom E, Soffer P, van Schooten B.

Int J Med Inform. 2017 May;101:108-130. doi: 10.1016/j.ijmedinf.2017.02.010. Epub 2017 Feb 21.

PMID:
28347441
8.

A systematic review of clinical decision support systems for antimicrobial management: are we failing to investigate these interventions appropriately?

Rawson TM, Moore LSP, Hernandez B, Charani E, Castro-Sanchez E, Herrero P, Hayhoe B, Hope W, Georgiou P, Holmes AH.

Clin Microbiol Infect. 2017 Mar 6. pii: S1198-743X(17)30125-8. doi: 10.1016/j.cmi.2017.02.028. [Epub ahead of print] Review.

9.

The effect of a test ordering software intervention on the prescription of unnecessary laboratory tests - a randomized controlled trial.

Martins CM, da Costa Teixeira AS, de Azevedo LF, Sá LM, Santos PA, do Couto ML, da Costa Pereira AM, Hespanhol AA, da Costa Santos CM.

BMC Med Inform Decis Mak. 2017 Feb 20;17(1):20. doi: 10.1186/s12911-017-0416-6.

10.

Lessons Learned When Introducing Pharmacogenomic Panel Testing into Clinical Practice.

Rosenman MB, Decker B, Levy KD, Holmes AM, Pratt VM, Eadon MT.

Value Health. 2017 Jan;20(1):54-59. doi: 10.1016/j.jval.2016.08.727. Epub 2016 Oct 21.

PMID:
28212969
11.

Hydra: A web-based system for cardiovascular analysis, diagnosis and treatment.

Novo J, Hermida A, Ortega M, Barreira N, Penedo MG, López JE, Calvo C.

Comput Methods Programs Biomed. 2017 Feb;139:61-81. doi: 10.1016/j.cmpb.2016.10.019. Epub 2016 Oct 29.

PMID:
28187896
12.

Comprehensible knowledge model creation for cancer treatment decision making.

Afzal M, Hussain M, Ali Khan W, Ali T, Lee S, Huh EN, Farooq Ahmad H, Jamshed A, Iqbal H, Irfan M, Abbas Hydari M.

Comput Biol Med. 2017 Mar 1;82:119-129. doi: 10.1016/j.compbiomed.2017.01.010. Epub 2017 Jan 29.

PMID:
28187294
13.

Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-Making.

Beam AL, Kartoun U, Pai JK, Chatterjee AK, Fitzgerald TP, Shaw SY, Kohane IS.

Sci Rep. 2017 Feb 9;7:42282. doi: 10.1038/srep42282.

15.

Automated Software System to Promote Anticoagulation and Reduce Stroke Risk: Cluster-Randomized Controlled Trial.

Holt TA, Dalton A, Marshall T, Fay M, Qureshi N, Kirkpatrick S, Hislop J, Lasserson D, Kearley K, Mollison J, Yu LM, Hobbs FD, Fitzmaurice D.

Stroke. 2017 Mar;48(3):787-790. doi: 10.1161/STROKEAHA.116.015468. Epub 2017 Jan 24.

PMID:
28119433
16.

Cognitive Bias and the Creation and Translation of Evidence Into Clinical Practice.

Molony DA.

Adv Chronic Kidney Dis. 2016 Nov;23(6):346-350. doi: 10.1053/j.ackd.2016.11.018. Review.

PMID:
28115076
17.

Using the Electronic Health Record to Understand and Minimize Overuse.

Rumball-Smith J, Shekelle PG, Bates DW.

JAMA. 2017 Jan 17;317(3):257-258. doi: 10.1001/jama.2016.18609. No abstract available.

PMID:
28114561
18.

Use of Risk Models to Predict Death in the Next Year Among Individual Ambulatory Patients With Heart Failure.

Allen LA, Matlock DD, Shetterly SM, Xu S, Levy WC, Portalupi LB, McIlvennan CK, Gurwitz JH, Johnson ES, Smith DH, Magid DJ.

JAMA Cardiol. 2017 Apr 1;2(4):435-441. doi: 10.1001/jamacardio.2016.5036.

PMID:
28002546
19.

Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review.

Singh K, Drouin K, Newmark LP, Filkins M, Silvers E, Bain PA, Zulman DM, Lee JH, Rozenblum R, Pabo E, Landman A, Klinger EV, Bates DW.

JMIR Mhealth Uhealth. 2016 Dec 19;4(4):e136.

20.

Big-Data Based Decision-Support Systems to Improve Clinicians' Cognition.

Roosan D, Samore M, Jones M, Livnat Y, Clutter J.

IEEE Int Conf Healthc Inform. 2016;2016:285-288.

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