scholarly journals Evidence Based Health Informatics: 10 Years of Efforts to Promote the Principle

2013 ◽  
Vol 22 (01) ◽  
pp. 34-46 ◽  
Author(s):  
E. Ammenwerth ◽  
M.-C. Beuscart-Zephir ◽  
J. Brender ◽  
H. Hyppönen ◽  
S. Melia ◽  
...  

Summary Objectives: To present the importance of Evidence-based Health Informatics (EBHI) and the ethical imperative of this approach; to highlight the work of the IMIA Working Group on Technology Assessment and Quality Improvement and the EFMI Working Group on Assessment of Health Information Systems; and to introduce the further important evaluation and evidence aspects being addressed. Methods: Reviews of IMIA, EFMA and other initiatives, together with literature reviews on evaluation methods and on published systematic reviews. Results: Presentation of the rationale for the health informatics domain to adopt a scientific approach by assessing impact, avoiding harm, and empirically demonstrating benefit and best use; reporting of the origins and rationale of the IMIA- and EQUATOR-endorsed Statement on Reporting of Evaluation Studies in Health Informatics (STARE-HI) and of the IMIA WG's Guideline for Good Evaluation Practice in Health Informatics (GEP-HI); presentation of other initiatives for objective evaluation; and outlining of further work in hand on usability and indicators; together with the case for development of relevant evaluation methods in newer applications such as telemedicine. The focus is on scientific evaluation as a reliable source of evidence, and on structured presentation of results to enable easy retrieval of evidence. Conclusions: EBHI is feasible, necessary for efficiency and safety, and ethically essential. Given the significant impact of health informatics on health systems, care delivery and personal health, it is vital that cultures change to insist on evidence-based policies and investment, and that emergent global moves for this are supported.

2016 ◽  
Vol 25 (01) ◽  
pp. 61-69 ◽  
Author(s):  
E. Ammenwerth ◽  
H. Hyppönen ◽  
N. de Keizer ◽  
P. Nykänen ◽  
M. Rigby ◽  
...  

SummaryBackground and objectives: With growing use of IT by healthcare professionals and patients, the opportunity for any unintended effects of technology to disrupt care health processes and outcomes is intensified. The objectives of this position paper by the IMIA Working Group (WG) on Technology Assessment and Quality Development are to highlight how our ongoing initiatives to enhance evaluation are also addressing the unintended consequences of health IT.Methods: Review of WG initiatives Results: We argue that an evidence-based approach underpinned by rigorous evaluation is fundamental to the safe and effective use of IT, and for detecting and addressing its unintended consequences in a timely manner. We provide an overview of our ongoing initiatives to strengthen study design, execution and reporting by using evaluation frameworks and guidelines which can enable better characterization and monitoring of unintended consequences, including the Good Evaluation Practice Guideline in Health Informatics (GEP-HI) and the Statement on Reporting of Evaluation Studies in Health Informatics (STARE-HI). Indicators to benchmark the adoption and impact of IT can similarly be used to monitor unintended effects on healthcare structures, processes and outcome. We have also developed EvalDB, a web-based database of evaluation studies to promulgate evidence about unintended effects and are developing the content for courses to improve training in health IT evaluation.Conclusion: Evaluation is an essential ingredient for the effective use of IT to improve healthcare quality and patient safety. WG resources and skills development initiatives can facilitate a pro-active and evidence-based approach to detecting and addressing the unintended effects of health IT.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2382-2382 ◽  
Author(s):  
Lyndsey Runaas ◽  
Evan Bischoff ◽  
Flora Hoodin ◽  
Rachel Kentor ◽  
Lauren Ostarello ◽  
...  

Abstract Background: The rapid adoption of mobile technology by the public and increased emphasis on patient engagement yields an opportune time to leverage health information technology (IT). Yet, a knowledge deficit exists on the use of health IT tools for high-risk populations. Pediatric blood and marrow transplant (BMT) is a medically complex and intense intervention. We have previously shown that BMT patients and caregivers have significant information needs. As such, caregiver activation on behalf of the patient may play an important role in fostering an effective patient-caregiver-provider partnership, which is increasingly recognized as the optimal model for health care delivery. Anxiety over outcomes, compounded by information overload may limit successful activation. Health IT tools offer the potential to overcome constraints in health care delivery limited by provider time and complex health information. We hypothesized that a tablet-based tool displaying personalized health information, including real-time data from the electronic health record, could provide a platform to promote caregiver activation. The implementation and evaluation of our health IT tool (BMT Roadmap) was based on generation of user-centered needs and in collaboration with a trans-disciplinary team, including experts in BMT, health communications, psychology/health behavior, biostatistics, health informatics, and human-computer interaction research. BMT Roadmap included the following domains: 1) laboratory results; 2) medications; 3) clinical trial enrollment; 4) health care provider directory; 5) phases of transplant; and 6) interactive discharge checklist with professionally produced videos on central line care. Methods: Caregivers of pediatric BMT patients were recruited and enrolled on this IRB-approved study. They were instructed to use BMT Roadmap freely throughout the patient's admission. Data collection included mixed methods approaches. System log-use data were recorded, including number of log-ins, domains frequented, and duration of use. Quantitative survey measurements were obtained at baseline (admission), discharge, and day 100 after BMT. These validated surveys measured activation, mood, anxiety, satisfaction, quality of life, and caregiver distress. In depth qualitative interviews were performed at baseline, weekly during admission, at discharge, and at day 100. Both inductive and deductive analysis was used to identify themes for further study. Results: Ten caregivers participated in the study: 80% female, 90% white, median age 36 years (25-54 years). Transplants were 50% autologous and 50% allogeneic. Median time of use was 104.1 minutes (6.4-256.2 minutes) over 29.5 days (21-68 days). Minutes used and days used were strongly inter-correlated (r=.90, p=0.001) and correlated with inpatient days (r=.70, p=0.05; and r=.81, p=0.01 respectively). The most time spent was in the laboratory module, followed by health care provider directory, medication, and phases of care modules (Table 1). Quantitative survey results showed that trait anxiety (STAI-T) was decreased, caregiver quality of life (CQOL) was improved, and caregiver activation (C-PAM) was increased at discharge compared with baseline (Table 2). The highest level of self-rated activation, as assessed by the C-PAM survey increased from 40% (admission) to 50% (discharge), and reached 85.7% (day 100). Total C-PAM score showed a strong trend toward increased activation from admission to day 100 (p=0.08). Caregivers with higher engagement had less trait anxiety at day 100 (r=.82, p=0.02), but engagement was unrelated to minutes of iPad use, days of iPad use, inpatient days, and caregiver quality of life. Caregivers described the iPad as easy to use and all used it for some portion of their stay (Table 3). Conclusions: Our findings indicate that health IT tools adapted to specific clinical conditions have potential to increase caregiver activation. BMT Roadmap was highly useful and easy to use. Validated survey measurements indicated that trait anxiety was decreased, caregiver quality of life was improved, and caregiver activation was increased at discharge compared with baseline. Higher activation was associated with less anxiety at day 100, but unrelated to iPad use (time), inpatient days, caregiver depression, distress or quality of life. We are now expanding BMT Roadmap into the Adult BMT population. Disclosures No relevant conflicts of interest to declare.


2011 ◽  
Vol 20 (01) ◽  
pp. 105-111 ◽  
Author(s):  
E. Ammenwerth ◽  
J. Talmon ◽  
P. Nykänen ◽  
J. Brender ◽  
N. de Keizer ◽  
...  

SummaryHealthinformaticsisgenerallylesscommittedtoascientific evidence-basedapproach than any other area of health science, which is an unsound position. Introducing the new Web 3.0 paradigms into health IT applications can unleash a further great potential, able to integrate and distribute data from multiple sources. The counter sideisthatitmakestheuserandthepatientevermoredependentonthe‘blackbox’ of the system, and the re-use of the data remote from the author and initial context. Thus anticipatory consideration of uses, and proactive analysis of evidenceof effects,are imperative,as only when a clinical technology can be proven to be trustworthy and safe should it be implementedwidely as is the case with other health technologies.Toargueforpromotingevidence-basedhealthinformatics assystemsbecomemorepowerfulandpro-activeyetmoredispersed andremote;andevaluationasthemeansofgeneratingthenecessaryscientific evidencebase.TopresentongoingIMIAandEFMIinitiativesinthisfield.Critical overview of recent developments in health informatics evaluation, alongside the precedents of other health technologies, summarising current initiatives and the new challenges presented by Health Informatics 3.0.Web3.0should betaken asanopportunitytomovehealth informatics from being largely unaccountable to one of being an ethical andresponsiblescience-baseddomain.Recentandplannedactivities ofthe EFMIandIMIAworkinggroupshavesignificantlyprogressedkeyinitiatives.Concurrent with the emergence of Web 3.0 as a means of new-generation diffuse health information systems comes an increasing need for an evidence-based culture in health informatics.


2015 ◽  
Vol 54 (04) ◽  
pp. 295-297 ◽  
Author(s):  
M. Rigby

SummaryThis editorial is part of a For-Discussion-Section of Methods of Information in Medicine about the paper “Evidence-based Health informatics: How do we know what we know?”, written by Elske Ammenwerth [1]. Health informatics uses and applications have crept up on health systems over half a century, starting as simple automation of large-scale calculations, but now manifesting in many cases as rule- and algorithm-based creation of composite clinical analyses and ‘black box’ computation of clinical aspects, as well as enablement of increasingly complex care delivery modes and consumer health access. In this process health informatics has very largely bypassed the rules of precaution, proof of effectiveness, and assessment of safety applicable to all other health sciences and clinical support systems. Evaluation of informatics applications, compilation and recognition of the importance of evidence, and normalisation of Evidence Based Health Informatics, are now long overdue on grounds of efficiency and safety. Ammenwerth has now produced a rigorous analysis of the current position on evidence, and evaluation as its lifeblood, which demands careful study then active promulgation. Decisions based on political aspirations, ‘modernisation’ hopes, and unsupported commercial claims must cease – poor decisions are wasteful and bad systems can kill. Evidence Based Health Informatics should be promoted, and expected by users, as rigorously as Cochrane promoted Effectiveness and Efficiency, and Sackett promoted Evidence Based Medicine – both of which also were introduced retrospectively to challenge the less robust and partially unsafe traditional ‘wisdom’ in vogue. Ammenwerth’s analysis gives the necessary material to promote that mission.


2015 ◽  
Vol 54 (04) ◽  
pp. 298-307 ◽  
Author(s):  
E. Ammenwerth

SummaryBackground: Health IT is expected to have a positive impact on the quality and efficiency of health care. But reports on negative impact and patient harm continue to emerge. The obligation of health informatics is to make sure that health IT solutions provide as much benefit with as few negative side effects as possible. To achieve this, health informatics as a discipline must be able to learn, both from its successes as well as from its failures.Objectives: To present motivation, vision, and history of evidence-based health informatics, and to discuss achievements, challenges, and needs for action.Methods: Reflections on scientific literature and on own experiences.Results: Eight challenges on the way towards evidence-based health informatics are identified and discussed: quality of studies; publication bias; reporting quality; availability of publications; systematic reviews and meta-analysis; training of health IT evaluation experts; translation of evidence into health practice; and post-market surveil-lance. Identified needs for action comprise: establish health IT study registers; increase the quality of publications; develop a taxonomy for health IT systems; improve indexing of published health IT evaluation papers; move from meta-analysis to meta-summaries; include health IT evaluation competencies in curricula; develop evidence-based implementation frameworks; and establish post-marketing surveillance for health IT.Conclusions: There has been some progress, but evidence-based health informatics is still in its infancy. Building evidence in health informatics is our obligation if we consider medical informatics a scientific discipline.


2013 ◽  
Vol 04 (03) ◽  
pp. 331-358 ◽  
Author(s):  
J. Brender ◽  
J. Talmon ◽  
N. de Keizer ◽  
P. Nykänen ◽  
M. Rigby ◽  
...  

SummaryBackground: Improving the quality of reporting of evaluation studies in health informatics is an important requirement towards the vision of evidence-based health informatics. The STARE-HI – Statement on Reporting of Evaluation Studies in health informatics, published in 2009, provides guidelines on the elements to be contained in an evaluation study report.Objectives: To elaborate on and provide a rationale for the principles of STARE-HI and to guide authors and readers of evaluation studies in health informatics by providing explanatory examples of reporting.Methods: A group of methodologists, researchers and editors prepared the present elaboration of the STARE-HI statement and selected examples from the literature.Results: The 35 STARE-HI items to be addressed in evaluation papers describing health informatics interventions are discussed one by one and each is extended with examples and elaborations. Conclusion: The STARE-HI statement and this elaboration document should be helpful resources to improve reporting of both quantitative and qualitative evaluation studies. Evaluation manuscripts adhering to the principles will enable readers of such papers to better place the studies in a proper context and judge their validity and generalizability, and thus in turn optimize the exploitation of the evidence contained therein.Limitations: This paper is based on experiences of a group of editors, reviewers, authors of systematic reviews and readers of the scientific literature. The applicability of the details of these principles has to evolve as a function of their use in practice.


2016 ◽  
Author(s):  
Teng Zhang ◽  
Zhipeng Chen ◽  
Ji Wu ◽  
Sam Lai ◽  
Wenhui Lei ◽  
...  

2021 ◽  
pp. 084653712110156
Author(s):  
Pejman Jabehdar Maralani ◽  
Anish Kapadia ◽  
Grace Liu ◽  
Felipe Moretti ◽  
Hournaz Ghandehari ◽  
...  

The use of magnetic resonance imaging (MRI) during pregnancy is associated with concerns among patients and health professionals with regards to fetal safety. In this work, the Canadian Association of Radiologists (CAR) Working Group on MRI in Pregnancy presents recommendations for the use of MRI in pregnancy, derived from literature review as well as expert panel opinions and discussions. The working group, which consists of academic subspecialty radiologists and obstetrician-gynaecologists, aimed to provide updated, evidence-based recommendations addressing safety domains related to energy deposition, acoustic noise, and gadolinium-based contrast agent use based on magnetic field strength (1.5T and 3T) and trimester scanned, in addition to the effects of sedative use and occupational exposure.


2016 ◽  
Vol 22 (4) ◽  
pp. 255 ◽  
Author(s):  
Michael Rigby ◽  
Farah Magrabi ◽  
Philip Scott ◽  
Persephone Doupi ◽  
Hannele Hypponen ◽  
...  

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