Delicate balance: adaptive support to improve patient safety

Patient safety increasingly depends on health professionals' ability to deal with the technological, organisational and social complexity of their working environment.1 The operating room (OR) is such a complex dynamic environment, not just because of the increasing use of technology, such as information technology (IT), monitoring and surgical devices to assist surgical procedures,2 ,3 but also because of less obvious factors, such as an increasing number of comorbidities per patient1 and the pressure to increase productivity and efficiency.2 ,4 Although many efforts have been made over the years to improve patient safety in the OR, considerable avoidable harm to patients still occurs in the operative process.2 ,4–7 This paper starts from the assumption that supporting medical staff to deal with the increasing complexity of day-to-day OR practices will increase patient safety. This paper provides an overview of the current discussions on standardisation on the one hand, and flexibility on the other, as approaches to deal with complexity in the OR (section 2). We argue that a balance must be struck between standardisation and flexibility to ensure patient safety. More specifically, we propose to develop technological support systems based on an approach (section 3) in which standardisation and flexibility are reconciled to both reap the benefits of standardisation and maintain the ability to anticipate unexpected events. We call this adaptive support . Then we propose a stepwise approach to provide adaptive support (section 4) by: (1) ensuring high-level understanding of OR processes, (2) real-time recognition of the situation that is at hand, and (3) providing technological support accordingly. We describe how technology already provides some ways to make systems that adapt to day-to-day variability in the OR, but conclude that more work is needed to make adaptive support possible. Many studies have recognised …

[1]  Thomas Neumuth,et al.  Rule-based medical device adaptation for the digital operating room , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[2]  D M Gaba,et al.  Anaesthesiology as a model for patient safety in health care , 2000, BMJ : British Medical Journal.

[3]  E. Hollnagel,et al.  From Safety-I to Safety-II: A White Paper , 2014 .

[4]  J. Dankelman,et al.  Can a structured checklist prevent problems with laparoscopic equipment? , 2008, Surgical Endoscopy.

[5]  Wen Yao,et al.  The Adoption and Implementation of RFID Technologies in Healthcare: A Literature Review , 2012, Journal of Medical Systems.

[6]  Nassir Navab,et al.  On-line Recognition of Surgical Activity for Monitoring in the Operating Room , 2008, AAAI.

[7]  Nassir Navab,et al.  Modeling and Online Recognition of Surgical Phases Using Hidden Markov Models , 2008, MICCAI.

[8]  Robbert Huijsman,et al.  Supply chain management in health services: an overview , 2011 .

[9]  Ronald C Merrell,et al.  Multimedia data capture and management for surgical events: Evaluation of a system. , 2006, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[10]  Oliver Burgert,et al.  A model-guided peri-operative information systems approach , 2014, 2014 Cairo International Biomedical Engineering Conference (CIBEC).

[11]  Sallie J. Weaver,et al.  Team-training in healthcare: a narrative synthesis of the literature , 2014, BMJ quality & safety.

[12]  E. Steyerberg,et al.  Predicting the Unpredictable: A New Prediction Model for Operating Room Times Using Individual Characteristics and the Surgeon's Estimate , 2010, Anesthesiology.

[13]  Erwin W. Hans,et al.  Operating Room Manager Game , 2007, INFORMS Trans. Educ..

[14]  Jenny Dankelman,et al.  Safety status system for operating room devices. , 2014, Technology and health care : official journal of the European Society for Engineering and Medicine.

[15]  Ricky K. Taira,et al.  Generating Models of Surgical Procedures using UMLS Concepts and Multiple Sequence Alignment , 2005, AMIA.

[16]  Jenny Dankelman,et al.  A RFID Specific Participatory Design Approach to Support Design and Implementation of Real-Time Location Systems in the Operating Room , 2014, Journal of Medical Systems.

[17]  Stephanie Guerlain,et al.  Assessing team performance in the operating room: development and use of a "black-box" recorder and other tools for the intraoperative environment. , 2005, Journal of the American College of Surgeons.

[18]  E. Patterson,et al.  Structuring flexibility: the potential good, bad and ugly in standardisation of handovers , 2008, Quality & Safety in Health Care.

[19]  Hong-Wei Li,et al.  Automatic subarachnoid space segmentation and hemorrhage detection in clinical head CT scans , 2012, International Journal of Computer Assisted Radiology and Surgery.

[20]  L. MacKenzie,et al.  Hierarchical decomposition of laparoscopic surgery: a human factors approach to investigating the operating room environment , 2001, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

[21]  J. Richardus,et al.  Systematic Review of Studies on Compliance with Hand Hygiene Guidelines in Hospital Care , 2010, Infection Control & Hospital Epidemiology.

[22]  T H Kappen,et al.  Effects of the Introduction of the WHO “Surgical Safety Checklist” on In-Hospital Mortality: A Cohort Study , 2012, Annals of surgery.

[23]  H. Feußner,et al.  Real-time instrument detection in minimally invasive surgery using radiofrequency identification technology. , 2013, The Journal of surgical research.

[24]  Pierre Jannin,et al.  Surgical process modelling: a review , 2014, International Journal of Computer Assisted Radiology and Surgery.

[25]  J. Ledolter,et al.  Automatic Updating of Times Remaining in Surgical Cases Using Bayesian Analysis of Historical Case Duration Data and “Instant Messaging” Updates from Anesthesia Providers , 2009, Anesthesia and analgesia.

[26]  Jeffrey Braithwaite,et al.  Nurses’ workarounds in acute healthcare settings: a scoping review , 2013, BMC Health Services Research.

[27]  Lukasz Mazur,et al.  Improving Patient Safety in Clinical Oncology: Applying Lessons From Normal Accident Theory. , 2015, JAMA oncology.

[28]  Jenny Dankelman,et al.  Real-time estimation of surgical procedure duration , 2015, 2015 17th International Conference on E-health Networking, Application & Services (HealthCom).

[29]  Nassir Navab,et al.  Statistical modeling and recognition of surgical workflow , 2012, Medical Image Anal..

[30]  Thomas Neumuth,et al.  Towards a framework for standardized semantic workflow modeling and management in the surgical domain , 2015 .

[31]  Refik Saskin,et al.  Introduction of surgical safety checklists in Ontario, Canada. , 2014, The New England journal of medicine.

[32]  T. Neumuth,et al.  Structured recording of intraoperative surgical workflows , 2006, SPIE Medical Imaging.

[33]  Thomas Neumuth,et al.  Requirements for the structured recording of surgical device data in the digital operating room , 2013, International Journal of Computer Assisted Radiology and Surgery.

[34]  Jenny Dankelman,et al.  Discovery of high-level tasks in the operating room , 2011, J. Biomed. Informatics.

[35]  Erik Demeulemeester,et al.  Operating room planning and scheduling: A literature review , 2010, Eur. J. Oper. Res..

[36]  A C P Guédon,et al.  Tracking surgical day care patients using RFID technology , 2015, BMJ Innovations.

[37]  Gero Strauß,et al.  Research Paper: Validation of Knowledge Acquisition for Surgical Process Models , 2009, J. Am. Medical Informatics Assoc..

[38]  Thomas Neumuth,et al.  Multi-perspective workflow modeling for online surgical situation models , 2015, J. Biomed. Informatics.

[39]  C. Dunne,et al.  Hand hygiene-related clinical trials reported since 2010: a systematic review. , 2016, The Journal of hospital infection.

[40]  E. D. de Vries,et al.  Effect of a comprehensive surgical safety system on patient outcomes. , 2010, The New England journal of medicine.

[41]  Multimodal multidisciplinary standardization of perioperative care: still a long way to go , 2008, Current opinion in anaesthesiology.

[42]  B. Burnand,et al.  Evolution of anaesthesia care and related events between 1996 and 2010 in Switzerland , 2013, Acta anaesthesiologica Scandinavica.

[43]  Stefan Schulz,et al.  Guidelines on hand hygiene in health care. , 2006, Journal of advanced nursing.

[44]  Tosha B. Wetterneck,et al.  Technology Evaluation: Workarounds to Barcode Medication Administration Systems: Their Occurrences, Causes, and Threats to Patient Safety , 2008, J. Am. Medical Informatics Assoc..

[45]  J. Mesman,et al.  Resources of Strength: An Exnovation of Hidden Competences to Preserve Patient Safety , 2017 .

[46]  Johan F. Lange,et al.  Participatory design: implementation of time out and debriefing in the operating theatre , 2011 .

[47]  Sven Staender,et al.  Safety-II and resilience: the way ahead in patient safety in anaesthesiology , 2015, Current opinion in anaesthesiology.

[48]  W. Berry,et al.  A Surgical Safety Checklist to Reduce Morbidity and Mortality in a Global Population , 2009, The New England journal of medicine.

[49]  David D. Dobrzykowski,et al.  A structured analysis of operations and supply chain management research in healthcare (1982–2011) , 2014 .