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Featured researches published by Runki Basu.


Journal of the American Medical Informatics Association | 2012

The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials.

K Ann McKibbon; Cynthia Lokker; Steven M. Handler; Lisa Dolovich; Anne Holbrook; Daria O'Reilly; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov

OBJECTIVE The US Agency for Healthcare Research and Quality funded an evidence report to address seven questions on multiple aspects of the effectiveness of medication management information technology (MMIT) and its components (prescribing, order communication, dispensing, administering, and monitoring). MATERIALS AND METHODS Medline and 11 other databases without language or date limitations to mid-2010. Randomized controlled trials (RCTs) assessing integrated MMIT were selected by two independent reviewers. Reviewers assessed study quality and extracted data. Senior staff checked accuracy. RESULTS Most of the 87 RCTs focused on clinical decision support and computerized provider order entry systems, were performed in hospitals and clinics, included primarily physicians and sometimes nurses but not other health professionals, and studied process changes related to prescribing and monitoring medication. Processes of care improved for prescribing and monitoring mostly in hospital settings, but the few studies measuring clinical outcomes showed small or no improvements. Studies were performed most frequently in the USA (n=63), Europe (n=16), and Canada (n=6). DISCUSSION Many studies had limited description of systems, installations, institutions, and targets of the intervention. Problems with methods and analyses were also found. Few studies addressed order communication, dispensing, or administering, non-physician prescribers or pharmacists and their MMIT tools, or patients and caregivers. Other study methods are also needed to completely understand the effects of MMIT. CONCLUSIONS Almost half of MMIT interventions improved the process of care, but few studies measured clinical outcomes. This large body of literature, although instructive, is not uniformly distributed across settings, people, medication phases, or outcomes.


Archive | 2011

Enabling Medication Management Through Health Information Technology

K Ann McKibbon; Cynthia Lokker; Steve M Handler; Lisa R Dolovich; Anne M Holbrook; Daria O’Reilly; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov; Norman P. Archer; Parminder Raina


Evidence report/technology assessment | 2011

Enabling medication management through health information technology (Health IT).

K Ann McKibbon; Cynthia Lokker; Steve M Handler; Lisa R Dolovich; Anne M Holbrook; Daria O'Reilly; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov; Norman P. Archer; Parminder Raina


Archive | 2011

Evidence Table 4, KQ1: primary process outcomes for all technologies assisting drug administration

K Ann McKibbon; Cynthia Lokker; Steve M Handler; Lisa Dolovich; Anne M Holbrook; Daria O’Reilly; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov; Norman P. Archer; Parminder Raina


Archive | 2011

Evidence Table 14, KQ7: integrated CDSS study characteristics: participants and interventions

K Ann McKibbon; Cynthia Lokker; Steve M Handler; Lisa R Dolovich; Anne M Holbrook; Daria O’Reilly; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov; Norman P. Archer; Parminder Raina


Archive | 2011

Evidence Table 10, KQ1: primary qualitative outcomes for all technologies across phases

K Ann McKibbon; Cynthia Lokker; Steve M Handler; Lisa R Dolovich; Anne M Holbrook; Daria O’Reilly; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov; Norman P. Archer; Parminder Raina


Archive | 2011

Evidence Table 3, KQ1: primary process outcomes for all technologies assisting dispensing

K Ann McKibbon; Cynthia Lokker; Steve M Handler; Lisa Dolovich; Anne M Holbrook; Daria O’Reilly; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov; Norman P. Archer; Parminder Raina


Archive | 2011

Figure 2, Conceptual model addressing the seven key questions: enabling medication management through health IT

K Ann McKibbon; Cynthia Lokker; Steve M Handler; Lisa R Dolovich; Anne M Holbrook; Daria O’Reilly; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov; Norman P. Archer; Parminder Raina


Archive | 2011

Evidence Table 21, Article references for articles where the primary technology being studies was integrated with the various health IT systems

K Ann McKibbon; Cynthia Lokker; Steve M Handler; Lisa R Dolovich; Anne M Holbrook; Daria O’Reilly; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov; Norman P. Archer; Parminder Raina


Archive | 2011

Evidence Table 13, KQ7: integrated CDSS study characteristics: setting and quality

K Ann McKibbon; Cynthia Lokker; Steve M Handler; Lisa R Dolovich; Anne M Holbrook; Daria O’Reilly; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov; Norman P. Archer; Parminder Raina

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Sue Troyan

St. Joseph's Healthcare Hamilton

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Lisa R Dolovich

St. Joseph's Healthcare Hamilton

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