Clinical informatics in critical care

The Case for the Anesthesiologist-Informaticist

Health care has been transformed by computerization, and the use of electronic health record systems has become widespread. Anesthesia information management systems are commonly used in the operating room to maintain records of anesthetic care delivery. The perioperative environment and the practice of anesthesia generate a large volume of data that may be reused to support clinical decision-making, research, and process improvement. Anesthesiologists trained in clinical informatics, referred to as informaticists or informaticians, may help implement and optimize anesthesia information management systems. They may also participate in clinical research, management of information systems, and quality improvement in the operating room or throughout a health care system. Here, we describe the specialty of clinical informatics, how anesthesiologists may obtain training in clinical informatics, and the considerations particular to the subspecialty of anesthesia informatics. Management of perioperative information systems, implementation of computerized clinical decision support systems in the perioperative environment, the role of virtual visits and remote monitoring, perioperative informatics research, perioperative process improvement, leadership, and change management are described from the perspective of the anesthesiologist-informaticist.

Big data and predictive analytics in neurocritical care

PURPOSE OF REVIEW

To describe predictive data and workflow in the intensive care unit when managing neurologically ill patients.

RECENT FINDINGS

In the era of Big Data in medicine, intensive critical care units are data-rich environments. Neurocritical care adds another layer of data with advanced multimodal monitoring to prevent secondary brain injury from ischemia, tissue hypoxia, and a cascade of ongoing metabolic events. A step closer toward personalized medicine is the application of multimodal monitoring of cerebral hemodynamics, bran oxygenation, brain metabolism, and electrophysiologic indices, all of which have complex and dynamic interactions. These data are acquired and visualized using different tools and monitors facing multiple challenges toward the goal of the optimal decision support system. In this review, we highlight some of the predictive data used to diagnose, treat, and prognosticate the neurologically ill patients. We describe information management in neurocritical care units including data acquisition, wrangling, analysis, and visualization.

[Comparison of current critical care information systems from the perspective of clinical users : Summary of the results of a German nationwide survey]

BACKGROUND

Critical care information systems (CCIS) are computer-based systems designed to process the growing amount of complex medical data in intensive care units (ICU). Previous studies have shown that CCICs can increase the quality of patient care by reducing errors and improving work efficiency; however, other studies have shown that CCISs can also cause harmful effects by disrupting workflow, facilitating medication errors or increasing charting time. The factors that decide whether a CCIS has a positive or negative impact on patient care are summarized under the term "usability". This article summarizes the results of three previously published papers on this topic.

OBJECTIVE

The aim of the study was to identify which CCIS functions were considered useful by clinical ICU staff and how well these functions are implemented in the CCISs currently used in German ICUs.

MATERIAL AND METHODS

An online survey was performed targeting nurses and physicians working in German ICUs using a previously validated questionnaire. The questionnaire included a list of functions (36 for physicians/31 for nurses) that were preselected by experts based on a comprehensive model of ICU work processes. Each of these functions was rated by the study participants on a Likert scale ranging from 0 (worst rating) to 5 (best rating) with respect to the usefulness to identify which functions of CCIS can truly be considered as useful by clinical ICU staff. Furthermore, the participants rated how well these functions were implemented in the CCIS currently in use on the ICU, also using a Likert scale of 0-5. Further questions were provided to rate specific technical usability aspects of the CCISs currently in use. In addition, to capture possible confounders the questionnaire recorded 18 individual and workspace characteristics which might influence the ratings.

RESULTS

A total of 171 nurses and 741 physicians participated in the survey of which 535 used CCISs. Of the functions 33 were rated as useful for doctors and 28 functions for nurses with median scores between 4 and 5. Participants currently using CCISs gave higher ratings compared to participants not using CCISs. The quality of the functions was rated relatively lower than the usefulness and the availability. Furthermore, currently used CCISs in Germany differ greatly in their technical and task-specific usability. Of the CCISs investigated, the system ICUData had the best overall rating and technical usability followed by the systems ICM and MetaVision. The same three CCIS were rated best in task-specific functions without significant differences between them.

CONCLUSION

Those functions that were identified as useful based on the ratings of clinical ICU staff should be implemented in current CCIS. The list of these functions might be regarded as a first step towards providing a catalog of functional requirements for CCISs. Furthermore, as the results show that the quality of the available functions was rated lower than the availability of the functions, manufacturers should shift more of the effort away from the development of new features and focus on improving the user-friendliness and quality of existing functions.

Secondary EMR data for quality improvement and research: A comparison of manual and electronic data collection from an integrated critical care electronic medical record system

PURPOSE

This study measured the quality of data extracted from a clinical information system widely used for critical care quality improvement and research.

MATERIALS AND METHODS

We abstracted data from 30 fields in a random sample of 207 patients admitted to nine adult, medical-surgical intensive care units. We assessed concordance between data collected: (1) manually from the bedside system (eCritical MetaVision) by trained auditors, and (2) electronically from the system data warehouse (eCritical TRACER). Agreement was assessed using Cohen's Kappa for categorical variables and intraclass correlation coefficient (ICC) for continuous variables.

RESULTS

Concordance between data sets was excellent. There was perfect agreement for 11/30 variables (35%). The median Kappa score for the 16 categorical variables was 0.99 (IQR 0.92-1.00). APACHE II had an ICC of 0.936 (0.898-0.960). The lowest concordance was observed for SOFA renal and respiratory components (ICC 0.804 and 0.846, respectively). Score translation errors by the manual auditor were the most common source of data discrepancies.

CONCLUSIONS

Manual validation processes of electronic data are complex in comparison to validation of traditional clinical documentation. This study represents a straightforward approach to validate the use of data repositories to support reliable and efficient use of high quality secondary use data.

Investigation of the Usability of Computerized Critical Care Information Systems in Germany

INTRODUCTION

The term "usability" describes how effectively, efficiently, and with what level of user satisfaction an information system can be used to accomplish specific goals. Computerized critical care information systems (CCISs) with high usability increase quality of care and staff satisfaction, while reducing medication errors. Conversely, systems lacking usability can interrupt clinical workflow, facilitate errors, and increase charting time. The aim of this study was to investigate and compare usability across CCIS currently used in Germany.

METHODS

In this study, German intensive care unit (ICU) nurses and physicians completed a specialized, previously validated, web-based questionnaire. The questionnaire assessed CCIS usability based on three rating models: an overall rating of the systems, a model rating technical usability, and a model rating task-specific usability.

RESULTS

We analyzed results from 535 survey participants and compared eight different CCIS commonly used in Germany. Our results showed that usability strongly differs across the compared systems. The system ICUData had the best overall rating and technical usability, followed by the platforms ICM and MetaVision. The same three systems performed best in the rating of task-specific usability without significant differences between each other. Across all systems, overall ratings were more dependent on ease-of-use aspects than on aspects of utility/functionality, and the general scope of the functions offered was rated better than how well the functions are realized.

DISCUSSION

Our results suggest that manufacturers should shift some of their effort away from the development of new features and focus more on improving the ease-of-use and quality of existing features.

Design and validation of a questionnaire to evaluate the usability of computerized critical care information systems

The implementation of computerized critical care information systems (CCIS) can improve the quality of clinical care and staff satisfaction, but also holds risks of disrupting the workflow with consecutive negative impacts. The usability of CCIS is one of the key factors determining their benefits and weaknesses. However, no tailored instrument exists to measure the usability of such systems. Therefore, the aim of this study was to design and validate a questionnaire that measures the usability of CCIS. Following a mixed-method design approach, we developed a questionnaire comprising two evaluation models to assess the usability of CCIS: (1) the task-specific model rates the usability individually for several tasks which CCIS could support and which we derived by analyzing work processes in the ICU; (2) the characteristic-specific model rates the different aspects of the usability, as defined by the international standard "ergonomics of human-system interaction". We tested validity and reliability of the digital version of the questionnaire in a sample population. In the sample population of 535 participants both usability evaluation models showed a strong correlation with the overall rating of the system (multiple correlation coefficients ≥0.80) as well as a very high internal consistency (Cronbach's alpha ≥0.93). The novel questionnaire is a valid and reliable instrument to measure the usability of CCIS and can be used to study the influence of the usability on their implementation benefits and weaknesses.

Data collection and interpretation

Patient monitoring is routinely performed in all patients who receive neurocritical care. The combined use of monitors, including the neurologic examination, laboratory analysis, imaging studies, and physiological parameters, is common in a platform called multi-modality monitoring (MMM). However, the full potential of MMM is only beginning to be realized since for the most part, decision making historically has focused on individual aspects of physiology in a largely threshold-based manner. The use of MMM now is being facilitated by the evolution of bio-informatics in critical care including developing techniques to acquire, store, retrieve, and display integrated data and new analytic techniques for optimal clinical decision making. In this review, we will discuss the crucial initial steps toward data and information management, which in this emerging era of data-intensive science is already shifting concepts of care for acute brain injury and has the potential to both reshape how we do research and enhance cost-effective clinical care.

Multimodality monitoring: informatics, integration data display and analysis

The goal of multimodality neuromonitoring is to provide continuous, real-time assessment of brain physiology to prevent, detect, and attenuate secondary brain injury. Clinical informatics deals with biomedical data, information, and knowledge including their acquisition, storage, retrieval, and optimal use for clinical decision-making. An electronic literature search was conducted for English language articles describing the use of informatics in the intensive care unit setting from January 1990 to August 2013. A total of 64 studies were included in this review. Clinical informatics infrastructure should be adopted that enables a wide range of linear and nonlinear analytical methods be applied to patient data. Specific time epochs of clinical interest should be reviewable. Analysis strategies of monitor alarms may help address alarm fatigue. Ergonomic data display that present results from analyses with clinical information in a sensible uncomplicated manner improve clinical decision-making. Collecting and archiving the highest resolution physiologic and phenotypic data in a comprehensive open format data warehouse is a crucial first step toward information management and two-way translational research for multimodality monitoring. The infrastructure required is largely the same as that needed for telemedicine intensive care applications, which under the right circumstances improves care quality while reducing cost.

Electronic Health Record for Intensive Care based on Usual Windows Based Software

Background and objectives:

In Intensive Care Units, the amount of data to be processed for patients care, the turn over of the patients, the necessity for reliability and for review processes indicate the use of Patient Data Management Systems (PDMS) and electronic health records (EHR). To respond to the needs of an Intensive Care Unit and not to be locked with proprietary software, we developed an EHR based on usual software and components.

Methods:

The software was designed as a client–server architecture running on the Windows operating system and powered by the access data base system. The client software was developed using Visual Basic interface library. The application offers to the users the following functions: medical notes captures, observations and treatments, nursing charts with administration of medications, scoring systems for classification, and possibilities to encode medical activities for billing processes.

Results:

Since his deployment in September 2004, the EHR was used to care more than five thousands patients with the expected software reliability and facilitated data management and review processes. Communications with other medical software were not developed from the start, and are realized by the use of basic functionalities communication engine. Further upgrade of the system will include multi-platform support, use of typed language with static analysis, and configurable interface.

Conclusion:

The developed system based on usual software components was able to respond to the medical needs of the local ICU environment. The use of Windows for development allowed us to customize the software to the preexisting organization and contributed to the acceptability of the whole system.

[Contribution of information technologies to assess and improve professional practice: example of management of surgical antibiotic prophylaxis]

INTRODUCTION

Information technologies appear to be interesting tools to assess and improve professional practices. In that setting, the management of surgical antibiotic prophylaxis represents an appropriate clinical area for using and evaluating such a tool. Despite the existence of guidelines in one hand and the demonstrated interest for a strict application of recommendations in the other hand, some irregularities in the management of surgical antibiotic prophylaxis remain in France in 2010.

OBJECTIVES

Since we have had computer systems in our department for several years, we performed an evaluation of practice to assess the impact of both the computer-based help and the updating of knowledge in physicians as tools to improve the application of guidelines for surgical antibiotic prophylaxis.

STUDY DESIGN

Clinical audits.

METHODS

Three clinical audits have therefore been performed before an implementation of computer-based help for clinical decisions and a clinical update for physicians, immediately after, and two years after this combined procedure (2322, 2678 and 2863 patients, respectively).

RESULTS

There was an enhancement of clinical practices and compliance to guidelines secondary to the beginning of computer-based prescription (55 to 81%, P<0.05). However, a weaning effect was observed with longer intervals between clinical update and surgical procedure, in association with increased omissions of antibiotic prophylaxis.

CONCLUSION

Computer-based help for clinical decision and prescription seems to be a useful tool for surgical antibiotic prophylaxis but it should be accompanied by direct regular educational measures to update protocols and databases.

Clinical decision support systems for patient safety: a focus group needs assessment with Korean ICU nurses

An ICU is known as a data-rich environment, and information technology can improve the quality of care by utilizing stored clinical data and providing decision support effectively and in a timely manner to clinicians. The necessity of clinical decision support systems is emphasized now more than ever because patient safety and nursing-sensitive outcomes in the clinical setting have become a critical issue. The purpose of this study was to explore nursing-sensitive outcomes issues related to patient safety in critical care and to understand the types and contents of clinical decision support systems that nurses desire in a clinical practice setting. Focus group interviews were conducted with 37 nurses who worked in one university hospital system in Korea. Our findings are summarized into threats to patient safety, nursing-sensitive outcomes, and the types and contents of clinical decision support systems, which are categorized into the following groups: (1) reminders, notification, alert, and warning systems; (2) point-of-care guidelines; and (3) references for information/guidelines. Nurses consistently stated that clinical decision support systems can help improve nursing outcomes by applying standardized nursing care. Our study is expected to provide a practical suggestion for developing and designing a new clinical decision support system or for refining an existing one.

The impact of PACS on clinician work practices in the intensive care unit: a systematic review of the literature

OBJECTIVE

To assess evidence of the impact of Picture Archiving and Communication Systems (PACS) on clinicians' work practices in the intensive care unit (ICU).

METHODS

We searched Medline, Pre-Medline, CINAHL, Embase, and the SPIE Digital Library databases for English-language publications between 1980 and September 2010 using Medical Subject Headings terms and keywords.

RESULTS

Eleven studies from the USA and UK were included. All studies measured aspects of time associated with the introduction of PACS, namely the availability of images, the time a physician took to review an image, and changes in viewing patterns. Seven studies examined the impact on clinical decision-making, with the majority measuring the time to image-based clinical action. The effect of PACS on communication modes was reported in five studies.

DISCUSSION

PACS can impact on clinician work practices in three main areas. Most of the evidence suggests an improvement in the efficiency of work practices. Quick image availability can impact on work associated with clinical decision-making, although the results were inconsistent. PACS can change communication practices, particularly between the ICU and radiology; however, the evidence base is insufficient to draw firm conclusions in this area.

CONCLUSION

The potential for PACS to impact positively on clinician work practices in the ICU and improve patient care is great. However, the evidence base is limited and does not reflect aspects of contemporary PACS technology. Performance measures developed in previous studies remain relevant, with much left to investigate to understand how PACS can support new and improved ways of delivering care in the intensive care setting.

How to implement information technology in the operating room and the intensive care unit

The number of operating rooms and intensive care units looking for a data management system to perform their increasingly complex tasks is rising. Although at this time only a minority is computerized, within the next few years many centres will start implementing information technology. The transition towards a computerized system is a major venture, which will have a major impact on workflow. This chapter reviews the present literature. Published papers on this subject are predominantly single- or multi-centre implementation reports. The general principles that should guide such a process are described. For healthcare institutions or individual practitioners that plan to undertake this venture, the implementation process is described in a practical, nine-step overview.

[How the drug allergy risk in the intensive care software is considered? About a comparative study]

The aim of this study was to evaluate the way the drug allergy risk was considered in five intensive care software available for the French market. It is an observational study conducted by a survey with the five firms asked during the 26th International Symposium on Intensive Care and Emergency Medicine in Brussels (March 2006). The drug allergic risk is documented to various degrees among the software selections. However, no software proposes an alternative or blocking of the prescription in case of allergy to a drug.

Survey of information technology in Intensive Care Units in Ontario, Canada

Background

The Intensive Care Unit (ICU) is a data-rich environment where information technology (IT) may enhance patient care. We surveyed ICUs in the province of Ontario, Canada, to determine the availability, implementation and variability of information systems.

Methods

A self-administered internet-based survey was completed by ICU directors between May and October 2006. We measured the spectrum of ICU clinical data accessible electronically, the availability of decision support tools, the availability of electronic imaging systems for radiology, the use of electronic order entry and medication administration systems, and the availability of hardware and wireless or mobile systems. We used Fisher's Exact tests to compare IT availability and Classification and Regression Trees (CART) to estimate the optimal cut-point for the number of computers per ICU bed.

Results

We obtained responses from 50 hospitals (68.5% of institutions with level 3 ICUs), of which 21 (42%) were university-affiliated. The majority electronically accessed laboratory data and imaging reports (92%) and used picture archiving and communication systems (PACS) (76%). Other computing functions were less prevalent (medication administration records 46%, physician or nursing notes 26%; medication order entry 22%). No association was noted between IT availability and ICU size or university affiliation. Sites used clinical information systems from15 different vendors and 8 different PACS systems were in use. Half of the respondents described the number of computers available as insufficient. Wireless networks and mobile computing systems were used in 23 ICUs (46%).

Conclusion

Ontario ICUs demontrate a high prevalence of the use of basic information technology systems. However, implementation of the more complex and potentially more beneficial applications is low. The wide variation in vendors utilized may impair information exchange, interoperability and uniform data collection.

Building a statewide knowledge network for clinicians in intensive care units: knowledge brokering and the NSW Intensive Care Coordination and Monitoring Unit (ICCMU)

PURPOSE

This paper describes the initial establishment of the Intensive Care Coordination and Monitoring Unit (ICCMU), and reports on the implementation of a state-based intensive care Listserv, ICUConnect, for staff in ICUs in New South Wales, Australia. The aim of the Listserv was to decrease professional isolation in smaller and less resourced ICUs by developing a network based on professional peer support. The Listserv was launched in December 2003 with 130 clinical nurse consultants and nurse managers. The emphasis was on exchange of both codified and experiential information.

MATERIAL AND METHODS

Evaluation of the Listserv was undertaken with a user survey piloted in 2004 and conducted in 2005. The survey explored the penetration, activity patterns and opinions of members of the Listserv. Members of the Listserv were mostly Australian intensive care clinicians and academics.

RESULTS

At the time of the survey, Listserv membership had grown to over 433 users. As expected rural members tended to ask questions of clinical support and advice, while nurse educators in metropolitan ICUs were the most active members on-list. The free exchange of information, especially in the form of policies and procedures, has led to the development of an information repository on the ICCMU website.

CONCLUSIONS

The Listserv has created a beginning community of practice with ICCMU taking an active approach to knowledge management by facilitating exchange of information. The creation of ICCMU as a clinician-led resource has developed a structure that is ideally placed to act as a knowledge broker within a network of ICUs. A collaborative process to produce generic guidelines is now underway.

Integrating anaesthesia and intensive care into the National Care Record

The National Care Record for England is planned to be delivered as part of the National Programme for Information Technology (NPfIT) by the National Health Service Connecting for Health. It will be made up from a National Summary Care Record, Local Detailed Care Records and from images in Picture Archiving and Communication Systems. Full benefits for clinical care will only come when there is true integration of the clinical records systems which enables rapid clinical decision support, a consistent user interface, single entry of data items and analysis of information across the full spectrum of clinical care. Currently there are few hospitals with fully electronic anaesthetic or critical care systems, and these are only partly linked to the hospital systems. This limits their benefit to patient care and health care staff. As NPfIT is being mandated for all hospitals in England it is essential to consider now how the next generation of anaesthetic and intensive care systems will integrate with it.