Search Results - "Seidling, H. M."

Assessing the perspective of well-being of older patients with multiple morbidities by using the LAVA tool - a person-centered approach by Wild, B, Wurmbach, V. S, Böhlen, F, Kusch, M. K.-P, Seidling, H. M, Reich, P, Hartmann, M, Haefeli, W. E, Friederich, H. C, Slaets, J

“…Abstract Background Older patients with multiple morbidities are a particularly vulnerable population that is likely to face complex medical decisions at some…”
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Memorandum on the use of information technology to improve medication safety by Ammenwerth, E, Aly, A-F, Bürkle, T, Christ, P, Dormann, H, Friesdorf, W, Haas, C, Haefeli, W E, Jeske, M, Kaltschmidt, J, Menges, K, Möller, H, Neubert, A, Rascher, W, Reichert, H, Schuler, J, Schreier, G, Schulz, S, Seidling, H M, Stühlinger, W, Criegee-Rieck, M

“…Information technology in health care has a clear potential to improve the quality and efficiency of health care, especially in the area of medication…”
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Detection and prevention of prescriptions with excessive doses in electronic prescribing systems by SEIDLING, H. M, AL BARMAWI, A, KALTSCHMIDT, J, BERTSCHE, T, PRUSZYDIO, M. G, HAEFELI, W. E

“…Dose dependent adverse drug reactions are often caused by prescribing errors ignoring upper dose limits. Thus, computerised physician order entry incorporating…”
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Design and evaluation of an ontology-based drug application database by Senger, C, Seidling, H M, Quinzler, R, Leser, U, Haefeli, W E

“…Several recently published cases of preventable adverse drug reactions were associated with flaws in drug application. However, current clinical decision…”
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Experiences of older multimorbid persons during the COVID-19 pandemic: a qualitative study by Boehlen, F H, Kusch, M K P, Reich, P, Wurmbach, V S, Seidling, H M, Wild, B

“…The COVID-19 pandemic and the accompanying preventive measures have shaped social life in unexpected ways. Because older persons with multiple chronic…”
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Medication safety through e‐health technology: can we close the gaps? by Seidling, H. M., Kaltschmidt, J., Ammenwerth, E., Haefeli, W. E.

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A randomized controlled trial to assess the effect of a medication plan containing drug administration recommendations on patients’ drug knowledge after 2 months by Send, A. F. J., Peters‐Klimm, F., Bruckner, T., Haefeli, W. E., Seidling, H. M.

“…Summary What is known and objective Patients’ drug administration errors are often promoted by poor drug knowledge resulting from inadequate oral or written…”
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Patient-specific electronic decision support reduces prescription of excessive doses by Seidling, H M, Schmitt, S P W, Bruckner, T, Kaltschmidt, J, Pruszydlo, M G, Senger, C, Bertsche, T, Walter-Sack, I, Haefeli, W E

“…Prescription of excessive doses is the most common prescription error, provoking dose-dependent adverse drug reactions. Clinical decision support systems…”
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More than just crushing: a prospective pre-post intervention study to reduce drug preparation errors in patients with feeding tubes by Lohmann, K., Gartner, D., Kurze, R., Schösler, T., Schwald, M., Störzinger, D., Hoppe-Tichy, T., Haefeli, W. E., Seidling, H. M.

“…Summary What is known and objectives Incorrect drug preparation for patients with feeding tubes can result in harm for the patient and the preparing person…”
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1ISG-013 Users’ expectations and opinions on a computerised physician order entry (CPOE) system before and after its implementation by Jungreithmayr, V, Rein, EK, Implementation Team, H, Haefeli, WE, Seidling, HM

“…Background and importanceComputerised physician order entry (CPOE) systems can enhance medication safety, but their implementation often faces hurdles,…”
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Development of an Electronic Tool to Assess Patient Preferences in Geriatric Polypharmacy (PolyPref) by Eidam, Annette, Roth, Anja, Frick, Eduard, Metzner, Michael, Lampert, Anette, Seidling, Hanna M, Haefeli, Walter E, Bauer, Jurgen M

“…Purpose: Medical decision-making in older adults with multiple chronic conditions and polypharmacy should include the individual patient's treatment…”
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OHP-003 Applying different scales for calculating the patient’s anticholinergic load – five case examples by Mayer, T, Haefeli, WE, Seidling, HM

“…BackgroundThe risk of physical and cognitive adverse events caused by the patient’s anticholinergic drugs is referred to as anticholinergic load. Currently,…”
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Erfahrungen älterer, multimorbider Menschen in der COVID-19-Pandemie: eine qualitative Studie by Boehlen, F. H., Kusch, M. K. P., Reich, P., Wurmbach, V. S., Seidling, H. M., Wild, B.

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Evaluation of medication alerts in electronic health records for compliance with human factors principles by Phansalkar, Shobha, Zachariah, Marianne, Seidling, Hanna M, Mendes, Chantal, Volk, Lynn, Bates, David W

“…Increasing the adoption of electronic health records (EHRs) with integrated clinical decision support (CDS) is a key initiative of the current US healthcare…”
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Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems--I-MeDeSA by Zachariah, Marianne, Phansalkar, Shobha, Seidling, Hanna M, Neri, Pamela M, Cresswell, Kathrin M, Duke, Jon, Bloomrosen, Meryl, Volk, Lynn A, Bates, David W

“…Medication-related decision support can reduce the frequency of preventable adverse drug events. However, the design of current medication alerts often results…”
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Erfahrungen älterer, multimorbider Menschen in der COVID-19-Pandemie: eine qualitative Studie by Boehlen, F. H., Kusch, M. K. P., Reich, P., Wurmbach, V. S., Seidling, H. M., Wild, B.

“…Zusammenfassung Hintergrund/Ziel der Studie Die COVID-19-Pandemie und die Maßnahmen zu deren Eindämmung haben das soziale Leben auf ungeahnte Weise verändert…”
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What, if all alerts were specific – Estimating the potential impact on drug interaction alert burden by Seidling, Hanna M, Klein, Ulrike, Schaier, Matthias, Czock, David, Theile, Dirk, Pruszydlo, Markus G, Kaltschmidt, Jens, Mikus, Gerd, Haefeli, Walter E

“…Highlights • About 80% of drug interaction alerts are potentially sensitive to context factors. • Promising context factors refer to comedication, potassium…”
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How to meet patients' individual needs for drug information - a scoping review by Kusch, Marcel Kp, Haefeli, Walter E, Seidling, Hanna M

“…The aim of this study was to 1) describe drug information desired by patients and 2) analyze how such information could be customized to be presented to…”
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On the alert: future priorities for alerts in clinical decision support for computerized physician order entry identified from a European workshop by Coleman, Jamie J, van der Sijs, Heleen, Haefeli, Walter E, Slight, Sarah P, McDowell, Sarah E, Seidling, Hanna M, Eiermann, Birgit, Aarts, Jos, Ammenwerth, Elske, Slee, Ann, Ferner, Robin E

“…Clinical decision support (CDS) for electronic prescribing systems (computerized physician order entry) should help prescribers in the safe and rational use of…”
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Using the Causal Inference Framework to Support Individualized Drug Treatment Decisions Based on Observational Healthcare Data by Meid, Andreas D, Ruff, Carmen, Wirbka, Lucas, Stoll, Felicitas, Seidling, Hanna M, Groll, Andreas, Haefeli, Walter E

“…When healthcare professionals have the choice between several drug treatments for their patients, they often experience considerable decision uncertainty…”
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