Leveraging Data Analytics For Clinical Success Data Analytics CD

Slide 1: This slide introduces Leveraging Data Analytics for Clinical Success. State your company name and begin.
Slide 2: This slide states Agenda of the presentation.
Slide 3: This slide shows Table of Content for the presentation.
Slide 4: This slide highlights title for topics that are to be covered next in the template.
Slide 5: This slide presents Introduction to data analytics in clinical trials.
Slide 6: This slide displays Statistical facts highlighting importance of data analytics in clinical research.
Slide 7: This slide represents Advantages of implementing data analytics in clinical trials.
Slide 8: This slide showcases Major domains of clinical data analytics.
Slide 9: This slide highlights title for topics that are to be covered next in the template.
Slide 10: This slide shows Market snapshot of global clinical analytics market.
Slide 11: This slide presents Segmentation of global clinical analytics market.
Slide 12: This slide displays Market drivers of global clinical analytics market.
Slide 13: This slide represents Market restraints of global clinical analytics market.
Slide 14: This slide represents Market leaders of global clinical data analytics.
Slide 15: This slide highlights title for topics that are to be covered next in the template.
Slide 16: This slide shows Overview of clinical data analytics tools.
Slide 17: This slide presents Criteria checklist to select analytics tool.
Slide 18: This slide displays Data analytics tool 1 : Clinical analytics results engine.
Slide 19: This slide represents Data analytics tool 1 : Clinical analytics results engine.
Slide 20: This slide provides an overview of clinical analytics tool Limeade aimed at explaining businesses its usability.
Slide 21: This slide provides an overview of clinical analytics tool Limeade aimed at explaining businesses its usability.
Slide 22: This slide provides an overview of clinical analytics tool Syntellis aimed at explaining businesses its usability.
Slide 23: This slide provides an overview of clinical analytics tool eClinical aimed at explaining businesses its usability.
Slide 24: This slide displays Comparative analysis of clinical analytics software tools.
Slide 25: This slide highlights title for topics that are to be covered next in the template.
Slide 26: This slide represents Introduction to clinical patient recruitment and retention.
Slide 27: This slide outlines statistical facts highlighting need to improve patient recruitment and retention using analytics.
Slide 28: This slide showcases Checklist to evaluate tool effectiveness for patient recruitment.
Slide 29: This slide highlights title for topics that are to be covered next in the template.
Slide 30: This slide shows Use of AI algorithms to streamline patient recruitment.
Slide 31: This slide presents Use of chatbots and virtual reality for patient recruitment.
Slide 32: This slide displays Use of sentiment analysis in patient recruitment.
Slide 33: This slide represents Use of sentiment analysis in patient recruitment.
Slide 34: This slide showcases KPI dashboard to monitor patient trials.
Slide 35: This slide shows KPI dashboard to analyse patient recruitment for clinical trials.
Slide 36: This slide highlights title for topics that are to be covered next in the template.
Slide 37: This slide presents Introduction to site selection and monitoring for clinical success.
Slide 38: This slide displays Statistics highlighting importance of site selection and monitoring.
Slide 39: This slide represents Checklist to evaluate tool effectiveness for site monitoring.
Slide 40: This slide showcases Use of AWS to transform site monitoring in clinical trials.
Slide 41: This slide shows Implementation of predictive modelling during site selection phases.
Slide 42: This slide presents KPI dashboard for effective site monitoring.
Slide 43: This slide highlights title for topics that are to be covered next in the template.
Slide 44: This slide displays Introduction to safety monitoring and pharmacovigilance in clinical trials.
Slide 45: This slide represents Checklist to evaluate vendor effectiveness for pharmacovigilance.
Slide 46: This slide highlights title for topics that are to be covered next in the template.
Slide 47: This slide showcases Big data workflow in pharmacovigilance.
Slide 48: This slide shows Applications of big data in pharmacovigilance.
Slide 49: This slide highlights title for topics that are to be covered next in the template.
Slide 50: This slide presents Artificial intelligence workflow in pharmacovigilance.
Slide 51: This slide displays Applications of artificial intelligence in pharmacovigilance.
Slide 52: This slide represents Use of deep learning model to detect adverse drug events.
Slide 53: This slide showcases Use of natural language processing for ADE detection.
Slide 54: This slide highlights title for topics that are to be covered next in the template.
Slide 55: This slide shows Introduction to clinical data management for effective trials.
Slide 56: This slide presents Checklist to evaluate vendor effectiveness for clinical data management.
Slide 57: This slide highlights title for topics that are to be covered next in the template.
Slide 58: This slide displays AI based data extraction for clinical trials.
Slide 59: This slide presents Introduction to virtual clinical trials with benefits.
Slide 60: This slide displays Comparative analysis of traditional and virtual clinical trial processes.
Slide 61: This slide represents Major components of virtual clinical trials.
Slide 62: This slide showcases Mobile data platform for virtual clinical trials.
Slide 63: This slide shows Use of natural language processing for clinical data management.
Slide 64: This slide highlights title for topics that are to be covered next in the template.
Slide 65: This slide presents Introduction to patient centric approach in clinical trials.
Slide 66: This slide displays Patient centric data management system.
Slide 67: This slide represents Analytic strategies for patient centered care.
Slide 68: This slide showcases Data analytic approaches to improve trial access barriers.
Slide 69: This slide highlights title for topics that are to be covered next in the template.
Slide 70: This slide shows Introduction to post marketing surveillance in clinical trials.
Slide 71: This slide presents Flowchart outlining post marketing surveillance.
Slide 72: This slide highlights title for topics that are to be covered next in the template.
Slide 73: This slide displays Use of chatbots for post marketing surveillance.
Slide 74: This slide represents Use of complaint analysis for post marketing surveillance.
Slide 75: This slide showcases Other artificial intelligence initiatives for post marketing surveillance.
Slide 76: This slide shows KPI dashboard for post marketing surveillance of medical device.
Slide 77: This slide highlights title for topics that are to be covered next in the template.
Slide 78: This slide presents Team roles and responsibilities in data analytics implementation.
Slide 79: This slide displays Clinical analytics training plan for businesses.
Slide 80: This slide highlights title for topics that are to be covered next in the template.
Slide 81: This slide showcases Cost assessment of data analytics in clinical trials.
Slide 82: This slide highlights title for topics that are to be covered next in the template.
Slide 83: This slide shows KPI dashboard to analyse clinical trials.
Slide 84: This slide presents KPI dashboard to monitor drug trials.
Slide 85: This slide displays KPI dashboard to maintain clinical patient summary for trials.
Slide 86: This slide represents KPI dashboard to monitor adverse drug events.
Slide 87: This slide contains all the icons used in this presentation.
Slide 88: This slide is titled as Additional Slides for moving forward.
Slide 89: This slide showcases Implementation of AI and ML in clinical research.
Slide 90: This is a Thank You slide with address, contact numbers and email address.