Nurses' experiences and viewpoints about the benefits of adopting information technology in health care: a qualitative study in Iran.

BACKGROUND: Information technology (IT) plays an important role in nursing practice. Hence, nurses' experiences and viewpoints about IT integration into healthcare help improve nurses' adoption of IT. This study aimed to explore the nurses' experiences and viewpoints about the benefits of IT integration and adoption in healthcare. METHODS: This study was conducted with a qualitative research approach. Participants included 14 nurses from four hospitals affiliated to a large medical university in Iran, who were selected using a purposive sampling method. Data were collected through semi-structured interviews and analyzed using the conventional content analysis of Lundman and Graneheim. RESULTS: Six categories in the study reflected the nurses' experiences and viewpoints about the benefits of integrating IT into health care. These categories included improving the quality and efficiency of medical services and care, facilitating the communication management in the technological environment, improving information documentation, management, and monitoring, improving resource management, improving management performance and policymaking, and facilitating pathways of organizational and professional growth. CONCLUSIONS: Lessons learned in this study can help overcoming the barriers of IT adoption, and developing appropriate strategies to familiarize nurses with the benefits of IT in healthcare settings. Healthcare managers are recommended to investigate the experiences of nurses with IT in their hospitals and organize courses to orient hesitant nurses toward adopting IT.

The interactive presentation of 3D information obtained from reconstructed datasets and 3D placement of single histological sections with the 3D portable document format.

Interpretation of the results of anatomical and embryological studies relies heavily on proper visualization of complex morphogenetic processes and patterns of gene expression in a three-dimensional (3D) context. However, reconstruction of complete 3D datasets is time consuming and often researchers study only a few sections. To help in understanding the resulting 2D data we developed a program (TRACTS) that places such arbitrary histological sections into a high-resolution 3D model of the developing heart. The program places sections correctly, robustly and as precisely as the best of the fits achieved by five morphology experts. Dissemination of 3D data is severely hampered by the 2D medium of print publication. Many insights gained from studying the 3D object are very hard to convey using 2D images and are consequently lost or cannot be verified independently. It is possible to embed 3D objects into a pdf document, which is a format widely used for the distribution of scientific papers. Using the freeware program Adobe Reader to interact with these 3D objects is reasonably straightforward; creating such objects is not. We have developed a protocol that describes, step by step, how 3D objects can be embedded into a pdf document. Both the use of TRACTS and the inclusion of 3D objects in pdf documents can help in the interpretation of 2D and 3D data, and will thus optimize communication on morphological issues in developmental biology.

Assessing the prognoses on Health care in the information society 2013--thirteen years after.

Health care and information technology in health care is advancing at tremendous speed. We analysed whether the prognoses by Haux et al. - first presented in 2000 and published in 2002 - have been fulfilled in 2013 and which might be the reasons for match or mismatch. Twenty international experts in biomedical and health informatics met in May 2013 in a workshop to discuss match or mismatch of each of the 71 prognoses. After this meeting a web-based survey among workshop participants took place. Thirty-three prognoses were assessed matching; they reflect e.g. that there is good progress in storing patient data electronically in health care institutions. Twenty-three prognoses were assessed mismatching; they reflect e.g. that telemedicine and home monitoring as well as electronic exchange of patient data between institutions is not established as widespread as expected. Fifteen prognoses were assessed neither matching nor mismatching. ICT tools have considerably influenced health care in the last decade, but in many cases not as far as it was expected by Haux et al. in 2002. In most cases this is not a matter of the availability of technical solutions but of organizational and ethical issues. We need innovative and modern information system architectures which support multiple use of data for patient care as well as for research and reporting and which are able to integrate data from home monitoring into a patient centered health record. Since innovative technology is available the efficient and wide-spread use in health care has to be enabled by systematic information management.

Past and next 10 years of medical informatics.

More than 10 years ago Haux et al. tried to answer the question how health care provision will look like in the year 2013. A follow-up workshop was held in Braunschweig, Germany, for 2 days in May, 2013, with 20 invited international experts in biomedical and health informatics. Among other things it had the objectives to discuss the suggested goals and measures of 2002 and how priorities on MI research in this context should be set from the viewpoint of today. The goals from 2002 are now as up-to-date as they were then. The experts stated that the three goals: "patient-centred recording and use of medical data for cooperative care"; "process-integrated decision support through current medical knowledge" and "comprehensive use of patient data for research and health care reporting" have not been reached yet and are still relevant. A new goal for ICT in health care should be the support of patient centred personalized (individual) medicine. MI as an academic discipline carries out research concerning tools that support health care professionals in their work. This research should be carried out without the pressure that it should lead to systems that are immediately and directly accepted in practice.

Recommendations of the International Medical Informatics Association (IMIA) on Education in Biomedical and Health Informatics: Second Revision.

BACKGROUND: The purpose of educational recommendations is to assist in establishing courses and programs in a discipline, to further develop existing educational activities in the various nations, and to support international initiatives for collaboration and sharing of courseware. The International Medical Informatics Association (IMIA) has published two versions of its international recommendations in biomedical and health informatics (BMHI) education, initially in 2000 and revised in 2010. Given the recent changes to the science, technology, the needs of the healthcare systems, and the workforce of BMHI, a revision of the recommendations is necessary. OBJECTIVE: The aim of these updated recommendations is to support educators in developing BMHI curricula at different education levels, to identify essential skills and competencies for certification of healthcare professionals and those working in the field of BMHI, to provide a tool for evaluators of academic BMHI programs to compare and accredit the quality of delivered programs, and to motivate universities, organizations, and health authorities to recognize the need for establishing and further developing BMHI educational programs. METHOD: An IMIA taskforce, established in 2017, updated the recommendations. The taskforce included representatives from all IMIA regions, with several having been involved in the development of the previous version. Workshops were held at different IMIA conferences, and an international Delphi study was performed to collect expert input on new and revised competencies. RESULTS: Recommendations are provided for courses/course tracks in BMHI as part of educational programs in biomedical and health sciences, health information management, and informatics/computer science, as well as for dedicated programs in BMHI (leading to bachelor's, master's, or doctoral degree). The educational needs are described for the roles of BMHI user, BMHI generalist, and BMHI specialist across six domain areas - BMHI core principles; health sciences and services; computer, data and information sciences; social and behavioral sciences; management science; and BMHI specialization. Furthermore, recommendations are provided for dedicated educational programs in BMHI at the level of bachelor's, master's, and doctoral degrees. These are the mainstream academic programs in BMHI. In addition, recommendations for continuing education, certification, and accreditation procedures are provided. CONCLUSION: The IMIA recommendations reflect societal changes related to globalization, digitalization, and digital transformation in general and in healthcare specifically, and center on educational needs for the healthcare workforce, computer scientists, and decision makers to acquire BMHI knowledge and skills at various levels. To support education in BMHI, IMIA offers accreditation of quality BMHI education programs. It supports information exchange on programs and courses in BMHI through its Working Group on Health and Medical Informatics Education.

IMIA accreditation of health informatics programs.

Health informatics programs usually are evaluated by national accreditation committees. Not always are the members of these committees well informed about the international level of (education in) health informatics. Therefore, when a program is accredited by a national accreditation committee, this does not always mean that the program is of an international level. Institutions may invite international experts to assess their educational programs. IMIA can serve as an intermediary for organizing the peer review. IMIA can play the role of accreditation committee and together with the institution assign an independent site visit committee to carry out the peer review. This contribution describes the IMIA accreditation procedure.

My Journey Through the Field of Medical Informatics.

In this contribution some achievements and milestones in the field of medical informatics, especially concerning decision support, as perceived by the author, are presented. The author focuses on those topics with respect to decision support that during his career in medical informatics impressed him and triggered him to convince his PhD students to start research on related topics. Both some of these achievements and the related research of some of his PhD students will be presented. The contribution starts with signal classification. Both ECG classification and sleep EEG classification are discussed. Then the use of Bayes' theorem for diagnostic purposes is discussed and some early applications pass review, among which the AAPHelp system developed by de Dombal and colleagues. Attention is subsequently paid to the advent of expert systems and other knowledge-based systems such as MYCIN and INTERNIST and to guideline-based decision support systems. Finally, the author presents his ideas about challenges for the field.

PRIM versus CART in subgroup discovery: when patience is harmful.

We systematically compare the established algorithms CART (Classification and Regression Trees) and PRIM (Patient Rule Induction Method) in a subgroup discovery task on a large real-world high-dimensional clinical database. Contrary to current conjectures, PRIM's performance was generally inferior to CART's. PRIM often considered "peeling of" a large chunk of data at a value of a relevant discrete ordinal variable unattractive, ultimately missing an important subgroup. This finding has considerable significance in clinical medicine where ordinal scores are ubiquitous. PRIM's utility in clinical databases would increase when global information about (ordinal) variables is better put to use and when the search algorithm keeps track of alternative solutions.

Nurses' attitudes toward the use of the bar-coding medication administration system.

This study determines nurses' attitudes toward bar-coding medication administration system use. Some of the factors underlying the successful use of bar-coding medication administration systems that are viewed as a connotative indicator of users' attitudes were used to gather data that describe the attitudinal basis for system adoption and use decisions in terms of subjective satisfaction. Only 67 nurses in the United States had the chance to respond to the e-questionnaire posted on the CARING list server for the months of June and July 2007. Participants rated their satisfaction with bar-coding medication administration system use based on system functionality, usability, and its positive/negative impact on the nursing practice. Results showed, to some extent, positive attitude, but the image profile draws attention to nurses' concerns for improving certain system characteristics. The high bar-coding medication administration system skills revealed a more negative perception of the system by the nursing staff. The reasons underlying dissatisfaction with bar-coding medication administration use by skillful users are an important source of knowledge that can be helpful for system development as well as system deployment. As a result, strengthening bar-coding medication administration system usability by magnifying its ability to eliminate medication errors and the contributing factors, maximizing system functionality by ascertaining its power as an extra eye in the medication administration process, and impacting the clinical nursing practice positively by being helpful to nurses, speeding up the medication administration process, and being user-friendly can offer a congenial settings for establishing positive attitude toward system use, which in turn leads to successful bar-coding medication administration system use.

Design of a continuous multifaceted guideline-implementation strategy based on computerized decision support.

Implementation of clinical practice guidelines into daily care is hindered by a variety of barriers related to professional knowledge, collaboration in teams and organizations, and practicability of the guidelines. Clinical computerized decision support (CCDS) has been shown to be one of the most effective instruments to improve compliance to practice guidelines by tackling barriers related to professional knowledge. To address other barriers, however, additional interventions are needed. In this study, a continuous multifaceted guideline implementation strategy was developed which is based on CCDS but extends beyond the professional knowledge barrier. Two additional interventions were designed and embedded with CCDS in a continuous quality improvement framework. First, to address barriers within teams and organizations guideline compliance data are periodically aggregated into feedback reports for care providers. Second, barriers related to practicability of the underlying guidelines are addressed in a guideline-maintenance cycle. A case study in the field of cardiac rehabilitation is presented to demonstrate the feasibility of the developed strategy.

Impact of BCMA on medication errors and patient safety: a summary.

PURPOSE: To summarize key recommendations and supporting evidence from the most recent studies evaluating the impact of bar coded medication administration (BCMA) systems, and the complementary technologies: Computerized Physician Order Entry (CPOE) and automated dispensing carts (ADC) in preventing medication errors and enhancing patent safety. SUMMARY: The IOM report in 2000 incited many healthcare institutions to implement e-prescribing and automated administration and dispensing of medications to prevent adverse drug events. Moreover, in 2004, the FDA call for bar codes on drugs and blood products has laid the groundwork for the widespread use of BCMA and the complementary technologies to reduce medication errors and improve patient safety. However, the implementation of this technology is a challenge because it introduces changes in the workflow and is costly as well. For a healthcare institution to think about adopting BCMA requires evidence supporting the recommendation to implement such technology. Challenges can be overcome by learning from others' experience with BCMA use. The evidence supporting the recommendation to properly use BCMA includes results on BCMA implementation in various healthcare facilities, and examination of the workarounds by nurses. CONCLUSION: The significant drop in medication errors rate achieved with the use of BCMA in various facilities presents a blueprint for its positive impact on patient safety. The observation measure to evaluate BCMAs use showed an increased rate of error detection because of the system ability to capture and record intercepted administration errors. However various workarounds by BCMAs users were detected. These workarounds were created to compensate for the flaws and inconvenient aspects of the barcode technology.

Education in Biomedical and Health Informatics: A European Perspective.

In higher education, programs in specialization in Health Informatics, Medical Informatics, Health Engineering are continuously growing. In this research, almost 1800 universities and colleges were checked in order to find related educational programs at all academic levels. Approximately 1000 academic leading degree programs in those domains have already been identified. The detailed records of the related educational programs will help to understand the current educational needs and priorities. Although, the growth of the related educational programs is not the same in each country.

Development of a guideline-based decision support system with explanation facilities for outpatient therapy.

For effective guideline implementation it is recommended to develop and apply carefully designed implementation strategies and instruments. Computerized decision support systems (CDSSs) are such instruments as they can improve guideline adherence by providing advice at the point of care. To improve the implementation of the Dutch cardiac rehabilitation guidelines a CDSS, named CARDSS, was developed. CARDSS actively provides care professionals with patient-specific, guideline-based treatment recommendations at the onset of a patient's rehabilitation trajectory. To maximize the chances of acceptance, CARDSS also provides explanation facilities and other additional information management services, and takes the working procedures specific to multidisciplinary outpatient care into account. CARDSS is currently used in over 40 Dutch cardiac rehabilitation outpatient clinics. This paper describes the development of the CARDSS system. In particular, technical issues are discussed concerning the delivery of active decision support, and the provision of advice rationales to users while taking account of dynamic clinical contexts and changing guidelines.

Computer-Interpretable Guideline formalisms.

Implementing Computer-Interpretable Guidelines (CIGs) in active computer-based decision support systems promises to improve the acceptance and application of guidelines in daily practice. The model and underlying language are the core characteristics of every CIG approach. However, currently no standard model or language has been accepted by the CIG community. This aim of this chapter is to provide an overview of well-known approaches and to formulate a set of (minimal) requirements that can be used in the process of developing new CIG approaches or improving existing ones. It presents five CIG approaches (the Arden Syntax, GLIF, PROforma, Asbru and EON), followed by a general discussion of the strong points of each approach as well as their implications for future research.

Subjective usability of the CARDSS guideline-based decision support system.

Clinical decision support systems (CDSSs) differ from other health information systems in their aim to directly influence the decision-making behaviour of healthcare professionals. As a result, CDSSs face additional challenges with respect to user acceptance. The objective of this study was to investigate subjective usability of a guideline-based CDSS for outpatient cardiac rehabilitation. The system, named CARDSS, was previously found to be effective in improving guideline adherence of rehabilitation professionals in a cluster randomized trial. To assess CARDSS' usability, a modified version of the IBM Computer System Usability Questionnaire was sent to all 68 professionals from the 28 outpatient clinics that participated in the trial. The questionnaire was returned by 63 respondents (93%) from 27 clinics. Factors that influenced CARDSS' usability were identified using linear regression analysis. Analysis showed that professionals who managed to smoothly integrate the system with their daily routine were more satisfied with ease of system use. Furthermore, a positive attitude of respondents towards CDSSs in general and a better agreement with the content of the national guidelines were positively correlated to satisfaction with CARDSS' overall usability and each of its sub-domains.

Towards patient-related information needs.

The quality of health care depends, among other factors, on the quality of a physician's domain knowledge. Since it is impossible to keep up with all new findings and developments, physicians usually have gaps in their domain knowledge. To handle exceptional cases, access to the full range of medical literature is required. The specific literature needed for appropriate treatment of the patient is described by a physician's information need. Physicians are often unaware of their information needs. To support them, this paper presents a first step towards automatically formulating patient-related information needs. We start investigating how we can model a physician's information needs in general. Then we propose an approach to instantiate the model into a representation of a physician's information needs using the patient data as stored in a medical record. Our experiments show that this approach is feasible. Since the number of formulated patient-related information needs is rather high, it has to be reduced. To reduce the number of formulated information needs we propose the use of additional knowledge. Four types of knowledge are discussed, viz. (a) knowledge about temporal aspects, (b) domain knowledge, (c) knowledge about a physician's specialism, and (d) a user model. Future research has to clarify which type of knowledge (or combination thereof) is most appropriate for our purpose. It is expected that the resultant set of information needs will have a manageable size and contributes to the quality of health care.

IMIA Educational Recommendations and Nursing Informatics.

The updated version of the IMIA educational recommendations has given an adequate guidelines platform for developing educational programs in Biomedical and Health Informatics at all levels of education, vocational training, and distance learning. This chapter will provide a brief introduction of the recommendations pinpointing aspects for developing and assessing educational programs. We will provide a review of the existing feedback we have acquired during the IMIA site visits of accrediting educational programs at a worldwide level and discuss implementations issues. A brief overview of existing academic programs in Europe, North America and in other regions, especially for programs related to Nursing and to Nursing Informatics is provided. Finally, we will draw conclusions as how the IMIA recommendations may be required to be fitted into the specific needs of the Nursing Informatics and the needs of the Nursing professionals when they apply the recommendations to their academic and/or hospital/professional environments.

The redesign of the Medical Informatics Master of Science course at the University of Amsterdam.

OBJECTIVES: To describe our new two years Master of Science (MSc) program starting in September 2006 at the University of Amsterdam- Academic Medical Center, The Netherlands. METHODS: We elaborate shortly on the mission, organizational structure and new contents of this new MSc course in medical informatics. RESULTS: Through the years, our medical informatics university program underwent some major revisions of which the transition from a four years course into a three years BSc program and a two years MSc program has been the most fundamental. The new MSc program is aimed at (international) baccalaureates in medical informatics, computer science, medicine, health sciences, and biology. Besides, health care professionals or professionals with a background in computer science may enter the program. The program length is two years, comprising four study semesters of 30 European Credits each (EC, 1 EC corresponding to 27 hours study load), equalizing 120 EC in total of which 48 EC are reserved for the master's thesis. CONCLUSIONS: With the new set up of the MSc program, that will be offered in English, we hope to both accommodate the learning needs of our own baccalaureates and to attract international baccalaureates and other professionals to this course. Our ultimate aim is to bring forth medical informatics specialists who are well equipped to make significant contributions to the field.

With good Intentions.

The use of intentions in computer-based guidelines may help to make them more flexible, easier to adapt to local standards, easier to evaluate and to improve. We see possibilities of using intentions in several areas: as a generator of actions which could be performed and then compared with the decision of the physician, as a method for pruning proposed actions based on current and previous patient data. In this contribution we present our approach to intention-based guidelines.