Practice Management Performance Indicators in Academic Radiology Departments

Ondategui-Parra, Silvia; Bhagwat, Jui G.; Zou, Kelly H.; Gogate, Adheet; Intriere, Lisa; Kelly, Pauline; Seltzer, Steven E.; Ros, Pablo R.

doi:10.1148/radiol.2333031147

Cited by 53 publications

(33 citation statements)

References 18 publications

(14 reference statements)

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“…Patients' waiting times are a major indicator of the quality of care within radiology departments [155,156]. Several type of intervention are being implemented by radiology departments to improve waiting times.…”

Section: Discussionmentioning

confidence: 99%

The Effectiveness of Service Delivery Initiatives at Improving Patients’ Waiting Times in Clinical Radiology Departments: A Systematic Review

et al. 2014

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We reviewed the literature for the impact of service delivery initiatives (SDIs) on patients' waiting times within radiology departments. We searched MEDLINE, EMBASE, CINAHL, INSPEC and The Cochrane Library for relevant articles published between 1995 and February, 2013. The Cochrane EPOC risk of bias tool was used to assess the risk of bias on studies that met specified design criteria. Fifty-seven studies met the inclusion criteria. The types of SDI implemented included extended scope practice (ESP, three studies), quality management (12 studies), productivity-enhancing technologies (PETs, 29 studies), multiple interventions (11 studies), outsourcing and pay-for-performance (one study each). The uncontrolled pre-and post-intervention and the postintervention designs were used in 54 (95 %) of the studies. The reporting quality was poor: many of the studies did not test and/or report the statistical significance of their results. The studies were highly heterogeneous, therefore metaanalysis was inappropriate. The following type of SDIs showed promising results: extended scope practice; quality management methodologies including Six Sigma, Lean methodology, and continuous quality improvement; productivityenhancing technologies including speech recognition reporting, teleradiology and computerised physician order entry systems. We have suggested improved study design and the mapping of the definitions of patient waiting times in radiology to generic timelines as a starting point for moving towards a situation where it becomes less restrictive to compare and/or pool the results of future studies in a meta-analysis.

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Section: Discussionmentioning

confidence: 99%

The Effectiveness of Service Delivery Initiatives at Improving Patients’ Waiting Times in Clinical Radiology Departments: A Systematic Review

et al. 2014

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“…Access to up to date KPI information can also help to identify activities that are impacting departmental work processes, quality of service and patient satisfaction levels [9]. The ability to anticipate demand and to plan capacity accordingly has already been demonstrated to be successful within the healthcare sector [10][11][12].…”

Section: State Of the Artmentioning

confidence: 99%

A Business Analytics Software Tool for Monitoring and Predicting Radiology Throughput Performance

Jones¹,

Cournane

Sheehy

et al. 2016

J Digit Imaging

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Business analytics (BA) is increasingly being utilised by radiology departments to analyse and present data. It encompasses statistical analysis, forecasting and predictive modelling and is used as an umbrella term for decision support and business intelligence systems. The primary aim of this study was to determine whether utilising BA technologies could contribute towards improved decision support and resource management within radiology departments. A set of information technology requirements were identified with key stakeholders, and a prototype BA software tool was designed, developed and implemented. A qualitative evaluation of the tool was carried out through a series of semi-structured interviews with key stakeholders. Feedback was collated, and emergent themes were identified. The results indicated that BA software applications can provide visibility of radiology performance data across all time horizons. The study demonstrated that the tool could potentially assist with improving operational efficiencies and management of radiology resources.

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“…The metrics used at the University of Maryland School of Medicine before implementation of our dashboard efforts were similar to those in most academic radiology departments (9)(10)(11)(12). We evaluated the elements of the paper-based report to determine the importance and difficulty of acquiring these metrics from clinical information systems in an automated method.…”

Section: Teaching Pointmentioning

confidence: 99%

“…8,9 For research, segmentation can be used for objective comparison of new imaging sequences and modalities or for the creation of automated segmentation tools. [10][11][12][13] The validation of automated segmentation tools commonly relies on testing for lesion contour and size against manual segmentation.…”

Section: Introductionmentioning

confidence: 99%

Operating Room of the Future: Advanced Technologies in Safe and Efficient Operating Rooms

Park¹

2010

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE 25-OCT-2010 REPORT TYPE PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT NUMBERUniversity of Maryland Baltimore, Maryland SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S) U.S. Army Medical Research and Materiel CommandFort Detrick, Maryland 21702-5012 SPONSOR/MONITOR'S REPORT NUMBER(S) DISTRIBUTION / AVAILABILITY STATEMENTApproved for Public Release; Distribution Unlimited SUPPLEMENTARY NOTES ABSTRACTNone provided. SUBJECT TERMSNone provided. IntroductionDuring the past decade, we witnessed an extraordinary evolution in surgical care based upon rapid advances in technology and creative approaches to medicine. The increased speed and power of computer applications, the rise of visualization technologies related to imaging and image guidance, improvement in simulation-based technologies (tissue properties, tool-tissue interaction, graphics, haptics, etc) has caused an explosion in surgical advances. That said, we remain far behind scientists in applying information systems to patient care. This research effort has proceeded under the mantle of -Operating Room of the Future‖ research. We replaced that theme with the more appropriate -Innovations in the Surgical Environment.‖The content of this Final Report contains information pertinent to continued activities in relation to the W81XWH-06-2-0057, -Advanced Technologies in Safe and Efficient Operating Rooms‖ project. This contract consists of a scope of work that fits seamlessly onto a prior research activity in the contract DAMD-17-03-2-0001, -Advanced technologies in safe and efficient operating rooms‖ work. The current research project activities are based upon three pillars of research, OR Informatics, Simulation for Training and Smart Image. A fourth research area was included in the Informatics pillar during this period of performance that targeted physical and cognitive ergonomics/human factors.Two of the Informatics projects were closed last year. The Intra Perioperative Communication (IPC) project has been completed; the CAST project was replaced by the Video Summarization p...

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Practice Management Performance Indicators in Academic Radiology Departments

Abstract: Assessing departmental performance with a wide range of management indicators is not yet an established and standardized practice in academic radiology departments in the United States. Among all indicators, productivity indicators are the most frequently used.

Cited by 53 publications

References 18 publications

The Effectiveness of Service Delivery Initiatives at Improving Patients’ Waiting Times in Clinical Radiology Departments: A Systematic Review

The Effectiveness of Service Delivery Initiatives at Improving Patients’ Waiting Times in Clinical Radiology Departments: A Systematic Review

A Business Analytics Software Tool for Monitoring and Predicting Radiology Throughput Performance

Operating Room of the Future: Advanced Technologies in Safe and Efficient Operating Rooms

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