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1.
Qual Manag Health Care ; 31(4): 221-230, 2022.
Article in English | MEDLINE | ID: mdl-35180733

ABSTRACT

BACKGROUND AND OBJECTIVES: Many health care organizations now employ Lean tools to improve value in health care, yet reports of their effectiveness vary. This variation may be explained by the context in which Lean is implemented, whether as a tool or as a management system. This article reports on a structured literature review conducted to understand the evidence base for the impact of Lean Management System implementation in health care. METHODS: A search of PubMed, Scopus, Emerald, EMBASE, CINAHL, and Business Source Complete databases was conducted in November 2017 and repeated in July 2020 to assess the evidence for the impact of Lean Management Systems in health care from 2000 to July 2020. Articles were included if they (1) reported on a Lean Management System or (2) reported on Lean Management System components as described by Mann 1 (ie, leader standard work, visual controls, daily accountability process, and discipline). RESULTS: A total of 52 articles met the inclusion criteria. Although all articles described some combination of leader standard work, visual management, and daily accountability as part of their Lean Management System, only a handful described use of all 3 components together. Only one explicitly mentioned the fourth component, discipline, required to consistently apply the first 3. The majority reported on single-unit or department implementations and most described daily huddles at the unit level that included review of key performance indicators, identification of improvement opportunities, and problem solving. The role of the leader in a Lean Management System was described a coach and a mentor. Barriers to adoption such as insufficient training and increased workload for nurses were noted along with the importance of relevance to the local context for unit teams to find value in huddle boards and huddles. As yet, evidence of Lean Management System effectiveness in driving health care improvement is absent due to weak study designs and lack of statistical rigor. CONCLUSION: Well-designed research on Lean Management Systems in health care is lacking. Despite increasing adoption of Lean Management Systems over the past 10 years and anecdotal reports of its effectiveness, very few articles provide quantitative data. Those that do report unit-level implementation only, little use of a comprehensive package of Lean Management Systems elements, and weaker study designs and statistical methods. More rigorous study designs and robust statistical analysis are needed to evaluate effectiveness of Lean Management Systems in health care. This represents a rich area for future health care management research.


Subject(s)
Health Services Administration , Delivery of Health Care , Health Facilities , Humans , Problem Solving
3.
Anesthesiol Res Pract ; 2011: 565069, 2011.
Article in English | MEDLINE | ID: mdl-22091218

ABSTRACT

Although the evidence strongly supports perioperative glycemic control among cardiac surgical patients, there is scant literature to describe the practical application of such a protocol in the complex ICU environment. This paper describes the use of the Lean Six Sigma methodology to implement a perioperative insulin protocol in a cardiac surgical intensive care unit (CSICU) in a large academic hospital. A preintervention chart audit revealed that fewer than 10% of patients were admitted to the CSICU with glucose <200 mg/dL, prompting the initiation of the quality improvement project. Following protocol implementation, more than 90% of patients were admitted with a glucose <200 mg/dL. Key elements to success include barrier analysis and intervention, provider education, and broadening the project scope to address the intraoperative period.

4.
Am J Manag Care ; 14(5): 309-16, 2008 May.
Article in English | MEDLINE | ID: mdl-18488295

ABSTRACT

OBJECTIVES: To implement an automated pharmacy dispensing prioritization system and to evaluate its effect on the timing of dispensing and administration of chemotherapy. STUDY DESIGN: An electronic chemotherapy dispensing system that prioritized orders for pharmacy processing based on anticipated patient arrival at the oncology outpatient unit was implemented, followed by an educational intervention for pharmacy staff. METHODS: A time-controlled study evaluating the effect of the electronic chemotherapy dispensing system on late, early, and "within target" dispensing and administration of chemotherapy was conducted. RESULTS: A total of 13,138 chemotherapies were prepared and released pending medical clearance based on laboratory results (hereafter referred to as pending counts) (8677 [66.0%]) or pending arrival of the patient (hereafter referred to as pending arrival) (4461 [34.0%]) from March 1, 2005, to March 2, 2006. Chemotherapy dispensing and administration times were retrospectively compared with chemotherapy appointment times after adjustment for late patient arrival. Dispensing times continuously decreased from a mean delay in dispensing of 12 minutes after the adjusted chemotherapy appointment time at baseline to dispensing a mean of 5 minutes ahead of the scheduled time by the end of the study. Chemotherapy treatments dispensed within target increased from 62.9% to 74.7% (pending arrival) and from 53.4% to 68.1% (pending counts), and those administered within target increased from 64.9% to 71.8% (pending arrival) and from 56.0% to 70.1% (pending counts). CONCLUSION: An automated intervention for synchronizing chemotherapy preparation with anticipated times for administration was associated with significant reduction in wait times.


Subject(s)
Antineoplastic Agents/administration & dosage , Appointments and Schedules , Cancer Care Facilities , Neoplasms/drug therapy , Pharmacy Service, Hospital , Adult , Humans
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