Day 2 :
University of Lapland, Faculty of Applied Sciences, Finland
Keynote: Artificial intelligence supported leadership learning game for improving wellbeing, customer quality and business productivity
Time : 09:30-10:10
Marko Kesti has M.Sc. at engineering, Dr. at social sciences and Adjunct professor specialized at human capital productivity. Kesti is research director at Lapland University. He has created new scientifically approved theories and tools for analyzing human capital productivity. Kesti is member of Finnish non-fiction writers with five books and is famous lecturer at his specialty.
One of the most important leaders’ responsibility is taking care of workers’ wellbeing. Wellbeing is fundamental factor affecting to customer satisfaction and work performance. Organizational changes and new technology require more from people management. Otherwise, work performance declines, mistakes arise and absence increase - causing costs and customer complaints. New game theoretical approach and digital technology enables sophisticated methodology and scalable tool to foster leadership competence in continuous change. Practice-based learning format leaders’ behavior so that there will be Nash-equilibrium where staff wellbeing and business profit flourish. Evidence-based studies indicate that artificial intelligence supported management game improves management efficiency. Outcome will be improved staff wellbeing, customer quality and organization profit.
According motivation theory the human performance is combination of self-esteem factors; therefore, single factor correlations are not reliable in determining wellbeing meaning to human performance. New scientific method solves this problem – it is called the Quality of Working Life index (QWL). People management is fundamentally behavioral science that can be described by game theoretical approach. Management game theoretical description is Strategic Stochastic Bayesian Non-symmetric Signaling game. It simulates management behavioral meaning to business performance and QWL. The tool is actual digital game where player implements leadership practices in solving workplace problems and improving team QWL. Management game theory is based on following main theories: 1) Human Capital Production Function, 2) Quality of Working Life index, 3) Bayesian game theorem, and 4) Markov’s sequential game algorithm and 5) Artificial Intelligence assistant using Bellman advantage function.
Pronat Medical, Israel
Time : 10:10-10:50
Edith Bianchi is a Senior Global Business Development expert and specializing in the Medical device industry – specifically in Digital Health and Wearable applications. She has an impressive and quite extraordinary multi-disciplinary background and qualifications. Those are combining both clinical records as a CRA and Registered Nurse with CICU experience, as well as strong business management orientation with an MBA degree from University of Derby. She has a long track international record in Medical device firms and was a key person in few meaningful strategic cooperation’s between major global players in the industry. She has coined the term S2T (Skin to Thing) and continuously promotes patient's and users' human factors.
Healthcare IT and digital health are fast growing fields. More than 200 million health and fitness mobile apps were downloaded by users in 2016 according to app measurement firm App Annie, as cited by the Meeker report. 36% of those were fitness themed, 24% disease and treatment, 17% lifestyle and stress, 12% diet and nutrition, and 11% other themes. The vast amounts of data generated by patients, are resulted by their care as well as personalized apps and, are indeed enormous and fueling the wearable’s market rapid evolution. Healthcare IT and digital health enable the efficient handling of the collected data both on the clinical and administrative levels. IoT enables now the connectivity of a medical device "Thing" to the Internet. The starting point of every architecture for digital health is always the patient and the patient's "Skin" interface to the "Thing" (S2T). However, this crucial element is often overlooked by medical device developers, left for a later stage of design, although at times, it may be the determining factor of implementation of the entire digital health process. Most of the focus is directed to the computing and cloud technologies, the electronics and gateways apps of the data. When designing a wearable device as a starting point of the digital health process, engineering teams are becoming more and more familiar with human factor and Ergonomics elements. These are most crucial with any S2T ("Skin to Thing") solution or a medical patch to adhere the device to the patient's skin. Endless applications such as monitoring, nerve stimulation, drug delivery and many more, are now transforming healthcare as we used to know it. Crucial factors such as biocompatibility and regulation requirements, the possible material interactions due to manufacturing technologies and comfortability to the end user – these aspects of body/machine interface should be given their deserved attention in order to assure the successful usage and benefits of current technological breakthrough is medical device, fitness, healthcare and pharmaceuticals industries.
Keynote: From big data to big impact
Time : 11:05:11:45
Charlotte Summers, BSc Psychology, email@example.com
COO, Diabetes Digital Media
Charlotte is responsible for the creation and delivery of digital education programs with proven health outcomes and cost savings. With a background in psychology, Charlotte's passion and expertise lie in creating offline accountability and sustainable health behavioural change in a digital age.
Arjun Panesar, MEng Artificial Intelligence, firstname.lastname@example.org.
Co-founder, Diabetes Digital Media
Arjun has a decade of experience with intelligent health systems and big data. Holding a Masters in Artificial Intelligence from Imperial College London, Arjun's focus is transforming healthcare through empowering patients - through the use of real-world big data and genomics.
Improving global patient outcomes With diabetes-related healthcare spending on an unsustainable trajectory, digital health and the use of big data has emerged to enable approaches that are dramatically more cost-effective and precise. The use of big data has changed the way we travel, trade and manufacture, yet healthcare is one of the last industries to fully embrace it. With growing health needs, is data now the best medicine?
Aster DM Healthcare,UAE
Keynote: A prospective study of 477 subjects through risk stratification by a non-invasive CT coronary angiogram (latest healthcare advances) versus coronary angiogram findings corroboration in a tertiary hospital setting in India
Time : 11:45-12:25
Dr. Srivatsan has completed his MBBS, FCCE (Endocrinology), PGP (Cardiology), C. Diab, MBA with more than 10+ years as a Clinician, Senior Medical Advisory & Senior Leadership roles. Currently, as a Chief Operating Officer & Head of Transformation for a 250 bedded hospital at Aster Sanad Hospital, Riyadh. Other role as a Group Corporate Strategist @ Aster DM Healthcare, a C-suite/Executive Director suite role for Global Strategies, Frugal innovations, Group Annual operating plan, Medical & Scientific affairs etc.
Coronary artery disease (CAD) is a very common cause of morbidity and is the leading cause of death in adults, accounting for ~one-third of all deaths in subjects over age 35. Although catheter coronary angiography (CCA) is the gold standard in the diagnosis and management of CAD, coronary CT angiography (CCTA), a non-invasive test is recommended by recent evidence for low-medium pretest probability for CAD.
1320 subjects were screened and a Cardiac risk profiling were done in a 6 months study period in 2016. Traditional risk factors for CAD like hypertension, dyslipidemia, diabetes, obesity, smoking, family history of CAD etc. were mapped out. A weighted average risk stratification tool was devised to stratify suspected CAD groups and to thereby clinically corroborate using CT Angiogram. 477(36%) underwent 320 slice Coronary CT Angiogram. Both, asymptomatic and diseased groups underwent the CCTA. Patients were classified as (a) normal (no calcific or soft plaque), (b) thick plaque & moderate CAD (<50% stenosis), (c) obstructive coronary disease (>50% stenosis).
316(66%) were males and 161(33%) were females. Mean age was 55.6+/- 8.3 years.
176( 37%) had hypertension, 150( 31%) had dyslipidemia, 125( 26%) had diabetes mellitus, 83( 17%) had obesity/overweight( BMI>25), 15(3%) had family history of CAD and 14(3%) as smoking as co-morbid conditions in these mutually non-exclusive data groups of 477 cases who underwent CCTA.
Baseline clinical characterstics were chest pain/angina-177( 37%) of which atypical chest pain contributed 54( 30%). 78(16%) had shortness of breath, 24(5%) had palpitation, 55(12%) had a positive/borderline Treadmill test. ECHO ( EF<40) was found in 9(2%) of the cases. 85(18%) cases were asymptomatic.
199( 42%) cases were found to have normal coronary arteries on CCTA, 277(58%) of the subjects had an abnormal CT angiogram findings of which 75(15.7%) were status post Percutaneous Interventions/Coronary Artery bypass surgeries reviewed for graft patency. Out of these 75 cases, 28(37%) had graft or the native vessel occlusion after a median follow up of 8.2 years after the CABG/PTCA by this CCTA.
3 risk factors( hypertension, diabetes & dyslipidemia) present in 39(95%) cases had abnormal CT Angiogram of the total 41 cases. 2 risk factors(hypertension, diabetes or dyslipidemia) resulted in 87(31.3%) cases of 278 abnormal CT Angio findings arm versus 62(31.1%) of 199 normal CT Angio findings.
58(12%) of the subjects who had a CCTA were less than 40 years old of which 18( 31%) had a CAD, 12( 66%) were soft and thick plaque whereas 6( 33%) had obstructive coronary artery disease (>50% stenosis).
Coronary Calcium score zero was found in 219(46%) of the 477 cases. Coronary Calcium score(>100) in 67(14%) in the abnormal CT angio arm versus 3(0.6%) in normal CT Angio arm. CAC score to predict CAD in my study was 39% sensitivity, 98.5% specificity with a positive predictive value of 95.7% and a negative predictive value of 64.9%.
Significantly obstructive triple vessel disease was noted in 10 (3.6%) of total cases. Of the total 278 abnormal CT Angio, Mild CAD was noted in 107(38.5%), Thick plaque ( <50% stenosis) noted in 59(21.2%), obstructive CAD(>50% stenosis) were noted in 98(35.3%) cases. Double vessel disease was seen in 112 (40.3%) cases and single vessel disease was seen in 78 (28%)
Congenital Heart Disease( ASD/VSD) were found in 7(1%) of the cases. Left Ventricular Hypertrophy in 31(6%) of the cases as other CCTA findings.
Risk profiling and stratification may be a valuable tool which may correlate with CT angio findings. One third of Coronary artery disease found in age groups of <40 years from this study, a decade/few decades early shift of cardiac events in population, is alarming.
Founder of Nobism
Time : 12:25:13:05
Attending the Rudolf Steiner School until High school, educated me to always ask “why” to understand the reason behind it, to be critical and always view subjects from various sides. My personal live thought me that if you find a bull on the way, go around, under or if you have to go over it. Don’t let it stop you. After High school I have studied at the TU Delft for a year changing afterwards to the Design Academy in Eindhoven and started soon my own company to build and design digital work. After moving to Spain Cluster Headaches started to change my life. This was a very big Bull on my road but my determination and stubbornness will bring to the other side of it.
If two patients share their data, together they would know more. If 100000 patients share their data, they could change Healthcare. Nobism is building a platform to support patients, leaders and their advocates to collect data and use it to do research. The data and results support leaders and advocates with trends of best treatments to change the world. Knowing patients do more than only medicines, we’ve added the option to collect data about all treatments we do, to find the best ones available. Most patient driven projects are setup non-profit and need to hold out their hands to get funding. That’s a hand you cannot byte. Nobism builds to create a place where patients can be commercial like the rest of the world to generate the income for own research and advocacy. Nobism will start by supporting existing patient groups in research. By adding functionality, we’ll transfer groups to nobism. We aim to become world leader in supporting and representing patients in research.
Fiona Stanley Hospital, Australia