Business Process Redesign in the Perioperative Process: A Case Perspective for Digital Transformation

This case study investigates business process redesign within the perioperative process as a method to achieve digital transformation. Specific perioperative sub-processes are targeted for re-design and digitalization, which yield improvement. Based on a 184-month longitudinal study of a large 1,157 registered-bed academic medical center, the observed effects are viewed through a lens of information technology (IT) impact on core capabilities and core strategy to yield a digital transformation framework that supports patient-centric improvement across perioperative sub-processes. This research identifies existing limitations, potential capabilities, and subsequent contextual understanding to minimize perioperative process complexity, target opportunity for improvement, and ultimately yield improved capabilities. Dynamic technological activities of analysis, evaluation, and synthesis applied to specific perioperative patient-centric data collected within integrated hospital information systems yield the organizational resource for process management and control. Conclusions include theoretical and practical implications as well as study limitations

Perioperative Patient Transparency and Accountability via Integrated Hospital Information Systems

The push for value-driven healthcare has resulted in numerous calls for increased transparency and accountability across thehealthcare industry. This paper provides an a priori perspective to perioperative process transparency and accountabilitywithin a hospital environment by describing, examining, and discussing case-study research across a hospital’s perioperativeand auxiliary services. Based on a 66-month longitudinal study of a large 909 registered-bed teaching hospital, this paperinvestigates how the complexity of technological change dynamics, integrated information systems, and a patient-centricperspective contribute toward opportunities for patient transparency and accountability within a hospital’s perioperativeprocesses. This paper also provides theoretical and practical implications, as well as study limitations

A Balanced Perspective to Perioperative Process Management Aligned to Hospital Strategy

Dynamic technological activities of analysis, evaluation, and synthesis can highlight complex relationships within integrated processes to target improvement and ultimately yield improved processes. Likewise, the identification of existing process limitations, potential capabilities, and subsequent contextual understanding are contributing factors that yield measured improvement. This case study examines process management practices of balanced scorecard and dashboards to monitor and improve the perioperative process, aligned to overall hospital goals at strategic, tactical, and operational levels. Based on a 120-month longitudinal study of an academic medical center, this study investigates how integrated information systems and business analytics can improve perioperative efficiency and effectiveness across patient quality of care, stakeholder satisfaction, clinical operations, and financial cost effectiveness. Implications and/or limitations are also discussed

Mining Perioperative Data for Business Process Analysis and Redesign: A Case Study Perspective

This study examines data mining as an extension of system design to support continuous process improvement. This paper identifies how dynamic technological activities of synthesis, analysis, and evaluation can highlight complex relationships within integrated information systems through existing patterns of associated organizational data. The identification of data patterns and subsequent human contextual understanding are contributing factors that yield business process redesign opportunity and re-enforce continuous process improvement within the perioperative services of a hospital. Based on a 72- month longitudinal study of a large 909 registered-bed teaching hospital, this case study investigates the operationalization of data mining in business process redesign as a method to identify, qualify, understand, and capture benefits from continuous process improvement. The theoretical and practical implications and/or limitations of this study’s results are also discussed with respect to practitioners and researchers alike

A Case Study Perspective toward Data-driven Process Improvement for Balanced Perioperative Workflow

Based on a 143-month longitudinal study of an academic medical center, this paper examines operations management practices of continuous improvement, workflow balancing, benchmarking, and process reengineering within a hospital’s perioperative operations. Specifically, this paper highlights data-driven efforts within perioperative sub-processes to balance overall patient workflow by eliminating bottlenecks, delays, and inefficiencies. This paper illustrates how dynamic technological activities of analysis, evaluation, and synthesis applied to internal and external organizational data can highlight complex relationships within integrated processes to identify process limitations and potential process capabilities, ultimately yielding balanced workflow and improvement. Study implications and/or limitations are also included

Key Performance Indicators across the Perioperative Process: Holistic Opportunities for Improvement via Business Process Management

This study examines the development and use of multiple scorecard metrics within each stage of the perioperative process as key performance indicators to enable business process management practices across the entire process to target and measure continuous improvement. This paper identifies how dynamic technological activities of analysis, evaluation, and synthesis applied to internal and external organizational data can highlight complex relationships within integrated hospital processes to target opportunities for improvement and ultimately yield improved process capabilities. The identification of existing limitations, potential capabilities, and the subsequent contextual understanding are contributing factors that yield measured improvement. This case study investigates the impact of integrated information systems to identify, qualify, and quantify perioperative improvement based on a 154-month longitudinal study of a large, 1.046 registered-bed teaching hospital. The theoretical and practical implications and/or limitations of this study’s results are also discussed with respect to practitioners and researchers alike

Improving Perioperative Data Integrity and Quality via Electronic Medical Record Reconciliation

This case study investigates data integrity and quality within the perioperative process via embedded quality control check (QCC) rules, used within a business process management framework to support patient care documentation, performance reporting, patient billing, data analysis, and regulatory agency audits. The study identifies specific perioperative nursing care documentation as electronic medical records and demonstrates how QCC rules, an embedded QCC process, and QCC rule violation reconciliation is applicable to ensuring data integrity and quality within integrated hospital information systems. Based on a 166-month longitudinal study of a large 1,157 registered-bed academic medical center, this study provides a priori business process management examples of data integrity and quality within the perioperative process. Recognizing existing limitations, potential capabilities, and the subsequent contextual understanding are contributing factors that yield measured improvement. Theoretical and practical implications and/or limitations of this study’s results are also discussed

Targeted Strategic Alignment via Real-time Perioperative Performance Dashboards

This study examines business process management practices of business analytics via balanced scorecards and performance dashboards within hospital processes to target and achieve improvement aligned to strategy. The study maps specific perioperative metrics in the hospital environment to clinical results and demonstrates how business process management is applicable for aligning perioperative clinical outcomes to hospital strategy. Identification of existing limitations, potential capabilities, and the subsequent contextual understanding are contributing factors that yield measured improvement within the hospital’s perioperative process. Based on a 150-month longitudinal study of a large 1,046 registered-bed academic medical center, this case study investigates the impact of integrated systems to qualify and quantify business analytics to improve hospital efficiency and effectiveness across patient quality of care, patient satisfaction, operational efficiency, and financial cost effectiveness. The theoretical and practical implications and/or limitations of this study’s results are also discussed

A Case Study Perspective to the Digital Transformation of a Hospital’s Perioperative Process

Based on a 177-month longitudinal study of a large 1,157 registered-bed academic medical center, this research examines the observed effects associated with the digital transformation of a United States hospital’s perioperative process. The observed effects are viewed through a lens of information technology (IT) impact on core capabilities and core strategy to yield a digital transformation framework that supports patient-centric improvement across the perioperative sub-processes of pre-admissions, pre-operative, intra-operative, post-operative, and central sterile supply. This case study identifies existing perioperative sub-process limitations, potential capabilities, and subsequent sub-process contextual understanding to minimize perioperative process complexity. Specific perioperative nursing documentation as electronic medical records demonstrate the utility and value of patient-centric perioperative data collected within integrated hospital information systems as an organizational resource for process management and control. The case results are discussed, including theoretical and practical implications as well as study limitations

Targeting Perioperative Performance Aligned to Hospital Strategy via Digital Transformation

This study examines the digital transformation of a U.S. hospital’s perioperative process, which yields targeted performance alignment to strategy. Based on a 184-month longitudinal study of a large 1,157 registered-bed academic medical center, the observed effects are viewed through a lens of information technology (IT) impact on core capabilities and core strategy. The results offer a framework that supports patient-centric improvement and targets alignment of perioperative sub-process efforts to overall hospital strategy. This research identifies existing limitations, potential capabilities, and subsequent contextual understanding to minimize perioperative process complexity, target and measure improvement, and ultimately yield process management and hospital strategy alignment. Dynamic activities of analysis, evaluation, and synthesis applied to specific perioperative patient-centric data, collected within integrated hospital information systems, provide the organizational resource for management and control. Conclusions include theoretical and practical implications as well as study limitations