Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: a narrative review

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Reducing Inappropriate Polypharmacy

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Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality

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Interventions to improve the appropriate use of polypharmacy for older people

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Prescriber barriers and enablers to minimising potentially inappropriate medications in adults: a systematic review and thematic synthesis

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Potentially Inappropriate Medications Defined by STOPP Criteria and the Risk of Adverse Drug Events in Older Hospitalized Patients

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The use of health information technology in seven nations

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Review of deprescribing processes and development of an evidence‐based, patient‐centred deprescribing process

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Interventions to improve the appropriate use of polypharmacy in older people: a Cochrane systematic review

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Artificial Intelligence and Personalized Medicine

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Deprescribing tools: a review of the types of tools available to aid deprescribing in clinical practice

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A systems approach to identifying the challenges of implementing deprescribing in older adults across different health-care settings and countries: a narrative review

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Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence–Enabled Clinical Decision Support Systems: Literature Review

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Deprescribing as a Clinical Improvement Focus

Dharmarajan, T. S., Choi, H., Hossain, N., Munasinghe, U., Lakhi, F., Lourdusamy, D., Onuoha, S., Murakonda, P., Lebelt, A. S., Kanagala, M., et al. (2019) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2019.08.031 · Cited by 99

The MedSafer Study: A Controlled Trial of an Electronic Decision Support Tool for Deprescribing in Acute Care

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Deprescribing in the Older Patient: A Narrative Review of Challenges and Solutions

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Advancing multimorbidity management in primary care: a narrative review

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Prescriber perceptions of medication-related computerized decision support systems in hospitals: A synthesis of qualitative research

Dort, B. A. V., Zheng, W. Y., & Baysari, M. T. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.06.024 · Cited by 55

Do electronic health record prompts increase take‐home naloxone administration for emergency department patients after an opioid overdose?

Marino, R. T., Landau, A., Lynch, M. J., Callaway, C. W., & Suffoletto, B. P. (2019) · Addiction · doi:10.1111/add.14635 · Cited by 44

Optimizing pharmacotherapy and deprescribing strategies in older adults living with multimorbidity and polypharmacy: EuGMS SIG on pharmacology position paper

van Poelgeest, E. P., Seppala, L. J., Bahat, G., İlhan, B., Mair, A. R., van Marum, R. J., Onder, G., Ryg, J., Fernandes, M. A., Cherubini, A., et al. (2023) · European Geriatric Medicine · doi:10.1007/s41999-023-00872-0 · Cited by 41

Intervention elements to reduce inappropriate prescribing for older adults with multimorbidity receiving outpatient care: a scoping review

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Clinically relevant potential drug-drug interactions in intensive care patients: A large retrospective observational multicenter study

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Decision-support systems for managing polypharmacy in the elderly: A scoping review

Mouazer, A., Tsopra, R., Sedki, K., Catherine Letord, A., & Lamy, J.-B. (2022) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2022.104074 · Cited by 41

Ability of machine-learning based clinical decision support system to reduce alert fatigue, wrong-drug errors, and alert users about look alike, sound alike medication

Chen, C., Chen, Y.-L., Scholl, J., Yang, H., & Li, Y. (2023) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2023.107869 · Cited by 33

Establishing the worth of deprescribing inappropriate medications: are we there yet?

Scott, I. A., Reeve, E., & Hilmer, S. N. (2022) · The Medical Journal of Australia · doi:10.5694/mja2.51686 · Cited by 31

The effect of electronic medical records on medication errors, workload, and medical information availability among qualified nurses in Israel– a cross sectional study

Naamneh, R., & Bodas, M. (2024) · BMC Nursing · doi:10.1186/s12912-024-01936-7 · Cited by 30

Use of Evidence-Based Herbal Medicines for Patients with Functional Gastrointestinal Disorders: A Conceptional Framework for Risk-Benefit Assessment and Regulatory Approaches

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The Future of Service Post-COVID-19 Pandemic, Volume 1

Lee, J., & Han, S. H. (2021) · The ICT and Evolution of Work · doi:10.1007/978-981-33-4126-5 · Cited by 34

Reducing Inappropriate Drug Use in Older Patients by Use of Clinical Decision Support in Community Pharmacy: A Mixed-Methods Evaluation

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Supporting deprescribing in hospitalised patients: formative usability testing of a computerised decision support tool

Baysari, M. T., Duong, M. H., Hooper, P. K., Stockey-Bridge, M., Awad, S., Zheng, W. Y., & Hilmer, S. N. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01484-z · Cited by 28

Delivering the right information to the right person at the right time to facilitate deprescribing in hospital: a mixed methods multisite study to inform decision support design in Australia

Baysari, M. T., Duong, M. H., Zheng, W. Y., Nguyen, A., Lo, S. Y., Ng, B., Ritchie, A., Couteur, D. G. L., McLachlan, A. J., Bennett, A. A., et al. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-030950 · Cited by 28

The updated PIM-Taiwan criteria: a list of potentially inappropriate medications in older people

Chang, C., Lai, H., Hwang, S., Yang, S., Wu, R., Chang, L., Lee, I.-S., Liu, H., & Chan, D. (2019) · Therapeutic Advances in Chronic Disease · doi:10.1177/2040622319879602 · Cited by 27

Clinical Decision Support Functions and Digitalization of Clinical Documents of Electronic Medical Record Systems

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Using the behavior change wheel to link published deprescribing strategies to identified local primary healthcare needs

Bai, I., Isenor, J. E., Reeve, E., Whelan, A. M., Martin‐Misener, R., Burgess, S. V., & Kennie‐Kaulbach, N. (2021) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2021.12.001 · Cited by 26

MediQuit, an Electronic Deprescribing Tool for Patients on Polypharmacy: Results of a Feasibility Study in German General Practice

Junius‐Walker, U., Viniol, A., Michiels‐Corsten, M., Gerlach, N., Donner‐Banzhoff, N., & Schleef, T. (2021) · Drugs & Aging · doi:10.1007/s40266-021-00861-7 · Cited by 25

Effect of a computerized decision support system on potentially inappropriate medication prescriptions for elderly patients in Thailand

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Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non‐small cell lung cancer patients at a lung cancer center in China

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Functional IT Complementarity and Hospital Performance in the United States: A Longitudinal Investigation

Mishra, A. N., Tao, Y., Keil, M., & Oh, J. (2021) · Information Systems Research · doi:10.1287/isre.2021.1064 · Cited by 22

‘Optimising PharmacoTherapy In the multimorbid elderly in primary CAre’ (OPTICA) to improve medication appropriateness: study protocol of a cluster randomised controlled trial

Jungo, K. T., Rozsnyai, Z., Mantelli, S., Floriani, C., Löwe, A., Lindemann, F., Schwab, N., Meier, R., Elloumi, L., Huibers, C. J. A., et al. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-031080 · Cited by 22

Potential inappropriate prescribing and associated factors among older persons in Nigeria and South Africa

Saka, S. A., Oosthuizen, F., & Nlooto, M. (2019) · International Journal of Clinical Pharmacy · doi:10.1007/s11096-018-0770-1 · Cited by 18

The implementation, use and sustainability of a clinical decision support system for medication optimisation in primary care: A qualitative evaluation

Jeffries, M., Salema, N.-E., Laing, L., Shamsuddin, A., Sheikh, A., Avery, A. J., Chuter, A., Waring, J. J., & Keers, R. N. (2021) · PLoS ONE · doi:10.1371/journal.pone.0250946 · Cited by 19

Successful deprescribing of proton pump inhibitors with a patient-centered process: the DESPIBP Project

Calvo, L. L. J., Cámara, P. G., Barrio, M. L., Gabarda, O. S., Báez, R. M., Arbonés-Mainar, J. M., González, J. A., & Monterde, V. B. (2021) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-021-03186-x · Cited by 19

Identifying Deprescribing Opportunities With Large Language Models in Older Adults: Retrospective Cohort Study

Socrates, V., Wright, D. S., Huang, T., Fereydooni, S., Dien, C., Chi, L., Albano, J., Patterson, B., Sasidhar Kanaparthy, N., Wright, C. X., et al. (2025) · JMIR Aging · doi:10.2196/69504 · Cited by 17

Challenges and opportunities in creating a deprescribing program in the emergency department: A qualitative study

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Shared Interoperable Clinical Decision Support Service for Drug-Allergy Interaction Checks: Implementation Study

Jung, S., Bae, S., Seong, D., Oh, O. H., Kim, Y., & Yi, B.-K. (2022) · JMIR Medical Informatics · doi:10.2196/40338 · Cited by 15

Using sociotechnical theory to understand medication safety work in primary care and prescribers’ use of clinical decision support: a qualitative study

Jeffries, M., Salema, N.-E., Laing, L., Shamsuddin, A., Sheikh, A., Avery, A. J., Chuter, A., Waring, J. J., & Keers, R. N. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-068798 · Cited by 17

Foreword to the first special collection: Addressing the invisible iatrogenic epidemic: the role of deprescribing in polypharmacy and inappropriate medication use

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Strategies to guide the successful implementation of deprescribing in community practice: Lessons learned from the front line

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Impact of Check of Medication Appropriateness (CMA) in optimizing analgesic prescribing: An interrupted time series analysis

Quintens, C., Coster, J. D., der Linden, L. R. V., Morlion, B. J., Nijns, E., den Bosch, B. V., Peetermans, W. E., & Spriet, I. (2020) · European Journal of Pain · doi:10.1002/ejp.1705 · Cited by 14

The impact of a multifaceted intervention to reduce potentially inappropriate prescribing among discharged older adults: a before-and-after study

Akkawi, M. E., Mohamed, M. H. N., & Aris, M. A. (2020) · Journal of Pharmaceutical Policy and Practice · doi:10.1186/s40545-020-00236-0 · Cited by 13

A model for identifying potentially inappropriate medication used in older people with dementia: a machine learning study

Hu, Q., Zhao, M., Teng, F., Lin, G., Jin, Z., & Xu, T. (2024) · International Journal of Clinical Pharmacy · doi:10.1007/s11096-024-01730-0 · Cited by 12

The Use of a Decision Support System in Swedish Pharmacies to Identify Potential Drug-Related Problems—Effects of a National Intervention Focused on Reviewing Elderly Patients’ Prescriptions

Hammar, T., Hellström, L., & Ericson, L. (2020) · Pharmacy · doi:10.3390/pharmacy8030118 · Cited by 13

The impact of electronic medical records on clinical documentation: A case study

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Use of an Electronic Medication Management Support System in Patients with Polypharmacy in General Practice: A Quantitative Process Evaluation of the AdAM Trial

Brünn, R., Lemke, D., Basten, J., Kellermann-Mühlhoff, P., Köberlein–Neu, J., Muth, C., van den Akker, M., & on behalf of the AdAM Study Group (2022) · Pharmaceuticals · doi:10.3390/ph15060759 · Cited by 9

Use of the consolidated framework for implementation research in a mixed methods evaluation of the EQUIPPED medication safety program in four academic health system emergency departments

Kegler, M. C., Rana, S., Vandenberg, A. E., Hastings, S. N., Hwang, U., Eucker, S. A., & Vaughan, C. P. (2022) · Frontiers in Health Services · doi:10.3389/frhs.2022.1053489 · Cited by 9

Human factors in digital healthcare systems: a critical literature review

Ogbeyemi, A., Lin, W., Odeyemi, J., Bradford, L., Yu, H., & Zhang, W. (2025) · Enterprise Information Systems · doi:10.1080/17517575.2025.2524847 · Cited by 10

Evaluating the Wasfaty E-Prescribing Platform Against Best Practices for Computerized Provider Order Entry

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A Digital Intervention for Primary Care Practitioners to Support Antidepressant Discontinuation (Advisor for Health Professionals): Development Study

Bowers, H. M., Kendrick, T., van Ginneken, N., Glowacka, M., Williams, S. J., Leydon, G., May, C. R., Dowrick, C. F., Moncrieff, J., Johnson, C. F. A., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/25537 · Cited by 8

Nature of adverse events with opioids in hospitalised patients: a post-hoc analysis of three patient record review studies

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Benefit of medication reviews by renal pharmacists in the setting of a computerized physician order entry system with clinical decision support

Seiberth, S., Mannell, H., Birkenmaier, C., Neuerburg, C., Smolka, V., Andraschko, M., & Strobach, D. (2022) · Journal of Clinical Pharmacy and Therapeutics · doi:10.1111/jcpt.13697 · Cited by 8

Clinical Decision Support System Based on Hybrid Knowledge Modeling: A Case Study of Chronic Kidney Disease-Mineral and Bone Disorder Treatment

Ali, S. I., Jung, S. W., Bilal, H. S. M., Lee, S. H., Hussain, J., Afzal, M., Hussain, M., Ali, T., Chung, T., & Lee, S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010226 · Cited by 9

Explicit definitions of potentially inappropriate prescriptions of antibiotics in hospitalized older patients

Baclet, N., Calafiore, M., Fregnac, C., Gavazzi, G., Forestier, E., Baudron, C. R., Fraisse, T., Alfandari, S., Senneville, E., & Beuscart, J. (2022) · Infectious Diseases Now · doi:10.1016/j.idnow.2022.02.004 · Cited by 7

Electronic health records with decision support systems for sharper diagnoses: bibliometric analysis

Abdelaziz, T., & Rosa, E. M. (2024) · International Journal of Advances in Applied Sciences · doi:10.11591/ijaas.v13.i2.pp411-418 · Cited by 10

Classification of Musculoskeletal Radiograph Requisition Appropriateness Using Machine Learning

Hugh, Z., Alabousi, A., & Mironov, O. (2022) · Canadian Association of Radiologists Journal · doi:10.1177/08465371221121074 · Cited by 6

The impact of including a medication review in an integrated care pathway: A pilot study

Payen, A., Godard‐Sebillotte, C., Sourial, N., Soula, J., Verloop, D., Defebvre, M.-M., Dupont, C., Dambre, D., Lamer, A., & Beuscart, J. (2022) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.15543 · Cited by 6

Association Between Real‐Time Alerts in Electronic Prescribing Systems and Potentially Inappropriate Prescribing Among Older Adults

Aminzade, Z., Mehrizi, R., Mirian, S., Asl, I. M., Nasehi, M. M., Effatpanah, M., Gholamnezhad, M., Armand, N., Karami, H., & Ghamkhar, L. (2026) · Journal of the American Geriatrics Society · doi:10.1111/jgs.70379 · Cited by 5

A mixed methods analysis of the medication review intervention centered around the use of the ‘Systematic Tool to Reduce Inappropriate Prescribing’ Assistant (STRIPA) in Swiss primary care practices

Jungo, K. T., Deml, M. J., Schalbetter, F., Moor, J., Feller, M., Lüthold, R. V., Huibers, C. J. A., Sallevelt, B. T. G. M., Meulendijk, M. C., Spruit, M. R., et al. (2024) · BMC Health Services Research · doi:10.1186/s12913-024-10773-y · Cited by 5

Technology Perception and Productivity Among Physicians in the New Norm Post-pandemic: A Dynamic Capabilities Perspective

Liew, E. J. Y., Koh, S. G. M., Kwok, A. O. J., Poh, Y. H., & French, J. (2021) · The ICT and Evolution of Work · doi:10.1007/978-981-33-4126-5_5 · Cited by 5

The evolution of polypharmacy: appropriate and problematic polypharmacy, choosing the right strategy and tactics

Васильевна, Л. М. (2021) · Meditsinskiy sovet = Medical Council · doi:10.21518/2079-701x-2021-14-150-157 · Cited by 5

Updating the potentially inappropriate medication (PIM)-China criteria for 2024: a Delphi consensus study for improved medication safety in older adults

Xing, X., Wang, K., Wang, Z.-Z., Li, X., Liu, J., Liu, C., Qiu, Y., Yan, S., Dong, X., & Zhang, L. (2025) · International Journal of Clinical Pharmacy · doi:10.1007/s11096-025-01977-1 · Cited by 5

Development and implementation of medication-related clinical rules for obstetrics, gynaecology, and paediatric outpatients

Chen, Q., Wang, L., Lin, M., Chen, W., Wu, W., & Chen, Y. (2022) · European Journal of Hospital Pharmacy · doi:10.1136/ejhpharm-2021-003170 · Cited by 7

Medical Decision Support to Reduce Unwarranted Methylene Tetrahydrofolate Reductase (MTHFR) Genetic Testing

Parkhurst, E., Calonico, E., & Noh, G. J. (2020) · Journal of Medical Systems · doi:10.1007/s10916-020-01615-5 · Cited by 4

Chronic-pharma: New Platform for Chronic Patients Pharmacotherapy Optimization

Villalba-Moreno, Á. M., Galván-Banqueri, M., Pérez, A. R., Guzmán, M. D. T., López-Hermoso, C., Sánchez‐Fidalgo, S., Santos‐Ramos, B., & Lara, E. R. A. (2022) · Journal of Medical Systems · doi:10.1007/s10916-022-01808-0 · Cited by 4

Eliminating medication overload: A national action plan

Working Group on Medication Overload (2020) · doi:10.46241/li.ylbw4885 · Cited by 4

A simulation trial evaluating ABiMed, a clinical decision support system for medication reviews and polypharmacy management

Mouazer, A., Dubois, S., Léguillon, R., Boudegzdame, N., Levrard, T., Bars, Y. L., Simon, C., Brigitte Séroussi, A., Julien Grosjean, A., Lelong, R., et al. (2025) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2025.06.006 · Cited by 3

Evaluation Criteria for the Effects of Decision Support Integrated into Computerized Provider Order Entry System: A Scoping Review

Karajizadeh, M., Zand, F., Vazin, A., Nasiri, M., Sarikhani, Y., & Sharifian, R. (2022) · Shiraz E-Medical Journal · doi:10.5812/semj-120195 · Cited by 3

One Hundred Explicit Definitions of Potentially Inappropriate Prescriptions of Antibiotics in Hospitalized Older Patients: The Results of an Expert Consensus Study

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Computerized Provider Order Entry

Qian, S. (2019) · Springer eBooks · doi:10.1007/978-3-319-69892-2_444-1 · Cited by 3

Can the integration of new rules into a clinical decision support system reduce the incidence of acute kidney injury and hyperkalemia among hospitalized older adults: a protocol for a stepped-wedge, cluster-randomized trial (DETECT-IP)

Payen, A., Tlili, N. E., Cousein, E., Ferret, L., Bozec, A. L., Lenglet, A., Marcilly, R., Pilven, P., Potier, A., Rousselière, C., et al. (2024) · Trials · doi:10.1186/s13063-024-08569-w · Cited by 4

Consumer and multidisciplinary clinician experiences after implementation of the Drug Burden Index intervention bundle to facilitate deprescribing in older inpatients: A mixed method study

Masnoon, N., Lo, S. Y., Baysari, M. T., Bennett, A. A., McLachlan, A. J., Blyth, F., Duong, M. H., & Hilmer, S. N. (2024) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.14220 · Cited by 2

Potentially inappropriate medicines for older people: consensus-based lists

Choo, A. (2025) · Australian Prescriber · doi:10.18773/austprescr.2025.030 · Cited by 2

Clinical decision support systems’ effect in reducing medication errors and adverse drug events: an expanded review from Making Healthcare Safer IV

Syrowatka, A., Motala, A., Lawson, E. K., & Shekelle, P. (2025) · BMJ Digital Health & AI · doi:10.1136/bmjdhai-2025-000083 · Cited by 2

Automation or augmentation? The impact of artificial intelligence's technological characteristics on usage intention in medical staff

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Drug Combinations for Mood Disorders and Physical Comorbidities That Need Attention: A Cross-Sectional National Database Survey

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