A Clinical Decision Support System for the Diagnosis, Fracture Risks and Treatment of Osteoporosis

Expanding medical knowledge increases the potential risk of medical errors in clinical practice. We present, OPAD, a clinical decision support system in the field of the medical care of osteoporosis. We utilize clinical information from international guidelines and experts in the field of osteoporosis. Physicians are provided with user interface to insert standard patient data, from which OPAD provides instant diagnostic comments, 10-year risk of fragility fracture, treatment options for the given case, and when to offer a follow-up DXA-evaluation. Thus, the medical decision making is standardized according to the best expert knowledge at any given time. OPAD was evaluated in a set of 308 randomly selected individuals. OPAD’s ten-year fracture risk computation is nearly identical to FRAX (r = 0.988). In 58% of cases OPAD recommended DXA evaluation at the present time. Following a DXA measurement in all individuals, 71% of those that were recommended to have DXA at the present time received recommendation for further investigation or specific treatment by the OPAD. In only 5.9% of individuals in which DXA was not recommended, the result of the BMD measurement changed the recommendations given by OPAD

P137 Supporting patients to get the best from their osteoporosis treatment; what works for whom, why and in what circumstance: a rapid realist review

Abstract Background/Aims For two decades, clinicians and academics have been writing about the problem of poor adherence in osteoporosis, while people with osteoporosis have identified a need for more follow up and information about medicines. We aimed to understand what works in supporting people with osteoporosis to get the best from their medicines, and specifically, to understand what mechanisms enable components of interventions to support osteoporosis medication optimisation and the underlying contextual conditions that enabled these mechanisms. Methods We conducted a Rapid Realist Review. The scope was informed by a workshop of the Effectiveness Working Group of the Royal Osteoporosis Society Osteoporosis and Bone Research Academy and the approach informed by background syntheses of qualitative literature and the Perceptions and Practicalities Approach as an underpinning conceptual framework. A primary search identified observational or interventional studies which aimed to improve medicines adherence or optimisation. Included studies were assessed for quality and data extracted relating to context, mechanism and outcomes. A supplementary second search was conducted to gain additional insight on included key papers and emerging mechanisms. Extracted data were interrogated by authors independently for patterns of context-mechanism-outcome configurations and further discussed in weekly team meetings. Recommendations for research and clinical practice were co-developed with clinical and lay stakeholders. Results 41 papers were included. We identified five contextual timepoints for the person with osteoporosis (identifying a problem; starting medicine; continuing medicine) and the practitioner and healthcare system (making a diagnosis and giving a treatment recommendation; reviewing medicine) and mechanisms relating to patient informed decision making, treatment burden, supporting routinisation and memory, supporting clinical decision making, targeting support, and approaches which were integrated and sustainable. Interventions which support patient informed decision making, improve patient knowledge and understanding, have potential to influence long-term commitment to treatment, although few studies explicitly addressed patients’ perceptions of illness and treatment as recommended in NICE guidelines. During treatment, targeting additional consultations to those most in need may be a cost and clinically effective approach to enable this. Supporting primary care clinician decision making and integration of primary and secondary care services also appears to be important, in improving rates of treatment initiation and adherence. Supporting patients’ ability to adhere (eg by lowering treatment burden and issuing reminders) may be helpful to address practical difficulties but there is little evidence to support the use of reminders alone. Conclusion For medicines optimisation for people with osteoporosis, we suggest a need for more patient-centred interventions to address patients’ perceptions of illness and treatment, and reduce treatment burden. Specialist services should consider the extent to which they integrate with, and support primary care clinical decision-making, in order to impact long-term clinical outcomes. Specific research recommendations have been co-developed, to address these knowledge gaps. Disclosure Z. Paskins: Grants/research support; NIHR, Versus Arthritis, Royal Osteoporosis Society. O. Babatunde: None. A. Sturrock: None. L. Toh: None. R. Horne: None. I. Maidment: None. </jats:sec

Osteoporotic and Neoplastic Compression Fracture Classification on Longitudinal CT

Classification of vertebral compression fractures (VCF) having osteoporotic or neoplastic origin is fundamental to the planning of treatment. We developed a fracture classification system by acquiring quantitative morphologic and bone density determinants of fracture progression through the use of automated measurements from longitudinal studies. A total of 250 CT studies were acquired for the task, each having previously identified VCFs with osteoporosis or neoplasm. Thirty-six features or each identified VCF were computed and classified using a committee of support vector machines. Ten-fold cross validation on 695 identified fractured vertebrae showed classification accuracies of 0.812, 0.665, and 0.820 for the measured, longitudinal, and combined feature sets respectively.Comment: Contributed 4-Page Paper to be presented at the 2016 IEEE International Symposium on Biomedical Imaging (ISBI), April 13-16, 2016, Prague, Czech Republi

Knowledge-based best of breed approach for automated detection of clinical events based on German free text digital hospital discharge letters

OBJECTIVES: The secondary use of medical data contained in electronic medical records, such as hospital discharge letters, is a valuable resource for the improvement of clinical care (e.g. in terms of medication safety) or for research purposes. However, the automated processing and analysis of medical free text still poses a huge challenge to available natural language processing (NLP) systems. The aim of this study was to implement a knowledge-based best of breed approach, combining a terminology server with integrated ontology, a NLP pipeline and a rules engine. METHODS: We tested the performance of this approach in a use case. The clinical event of interest was the particular drug-disease interaction "proton-pump inhibitor [PPI] use and osteoporosis". Cases were to be identified based on free text digital discharge letters as source of information. Automated detection was validated against a gold standard. RESULTS: Precision of recognition of osteoporosis was 94.19%, and recall was 97.45%. PPIs were detected with 100% precision and 97.97% recall. The F-score for the detection of the given drug-disease-interaction was 96,13%. CONCLUSION: We could show that our approach of combining a NLP pipeline, a terminology server, and a rules engine for the purpose of automated detection of clinical events such as drug-disease interactions from free text digital hospital discharge letters was effective. There is huge potential for the implementation in clinical and research contexts, as this approach enables analyses of very high numbers of medical free text documents within a short time period

Email for clinical communication between healthcare professionals

Email is one of the most widely used methods of communication, but its use in healthcare is still uncommon. Where email communication has been utilised in health care, its purposes have included clinical communication between healthcare professionals, but the effects of using email in this way are not well known. We updated a 2012 review of the use of email for two-way clinical communication between healthcare professionals

Treatment of symptoms of the menopause: an endocrine society clinical practice guideline

Objective: The objective of this document is to generate a practice guideline for the management and treatment of symptoms of the menopause. Participants: The Treatment of Symptoms of the Menopause Task Force included six experts, a methodologist, and a medical writer, all appointed by The Endocrine Society. Evidence: The Task Force developed this evidenced-based guideline using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system to describe the strength of recommendations and the quality of evidence. The Task Force commissioned three systematic reviews of published data and considered several other existing meta-analyses and trials. Consensus Process: Multiple e-mail communications, conference calls, and one face-to-face meeting determined consensus. Committees of The Endocrine Society, representatives from endorsing societies, and members of The Endocrine Society reviewed and commented on the drafts of the guidelines. The Australasian Menopause Society, the British Menopause Society, European Menopause and Andropause Society, the European Society of Endocrinology, and the International Menopause Society (co-sponsors of the guideline) reviewed and commented on the draft. Conclusions: Menopausal hormone therapy (MHT) is the most effective treatment for vasomotor symptoms and other symptoms of the climacteric. Benefits may exceed risks for the majority of symptomatic postmenopausal women who are under age 60 or under 10 years since the onset of menopause. Health care professionals should individualize therapy based on clinical factors and patient preference. They should screen women before initiating MHT for cardiovascular and breast cancer risk and recommend the most appropriate therapy depending on risk/benefit considerations. Current evidence does not justify the use of MHT to prevent coronary heart disease, breast cancer, or dementia. Other options are available for those with vasomotor symptoms who prefer not to use MHT or who have contraindications because these patients should not use MHT. Low-dose vaginal estrogen and ospemifene provide effective therapy for the genitourinary syndrome of menopause, and vaginal moisturizers and lubricants are available for those not choosing hormonal therapy. All postmenopausal women should embrace appropriate lifestyle measures