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      Digital Transformation in Medical Affairs Sparked by the Pandemic: Insights and Learnings from COVID-19 Era and Beyond

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          Abstract

          A number of developments, including increasing regulatory and compliance scrutiny, increased transparency expectations, an increasingly vocal patient, patient centricity and greater requirements for real-world evidence, have driven the growth and importance of medical affairs as a trusted, science-driven partner over the past decade. The healthcare environment is shifting towards a digital, data-driven and payor-focused model. Likewise, medical affairs as a function within the pharmaceutical industry has become more “patient-centric” with strategic engagements embracing payers and patients apart from clinicians. The pandemic has impacted the healthcare industry as well as the function of medical affairs in numerous ways and has brought new challenges and demands to tackle. There is indeed a silver lining due to intense digital transformation within this crisis. The emerging digital innovation and new technologies in healthcare, medical education and virtual communications are likely to stay and advance further. In this review, we discuss how the digital transformation sparked by the pandemic has impacted the medical affairs function in pharmaceuticals and provide further insights and learnings from the COVID-19 era and beyond. Based on the learning and insights, digital innovation in three key strategic imperatives of medical affairs—HCP engagement, external partnerships and data generation will enable medical affairs to become future-fit as a strategic leadership function.

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          The potential for artificial intelligence in healthcare

          The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical issues in the application of AI to healthcare are also discussed.
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            Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system.

            Big data in medicine--massive quantities of health care data accumulating from patients and populations and the advanced analytics that can give those data meaning--hold the prospect of becoming an engine for the knowledge generation that is necessary to address the extensive unmet information needs of patients, clinicians, administrators, researchers, and health policy makers. This article explores the ways in which big data can be harnessed to advance prediction, performance, discovery, and comparative effectiveness research to address the complexity of patients, populations, and organizations. Incorporating big data and next-generation analytics into clinical and population health research and practice will require not only new data sources but also new thinking, training, and tools. Adequately utilized, these reservoirs of data can be a practically inexhaustible source of knowledge to fuel a learning health care system.
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              Innovation in Response to the COVID-19 Pandemic Crisis

              The COVID-19 pandemic has disrupted all aspects of academic medical center missions. The number and rapidity of innovative responses to the crisis are extraordinary. When the pandemic has subsided, the world of academic medicine will have changed. The author of this Invited Commentary anticipates that at least some of these innovations will become part of academic medicine’s everyday clinical and educational operations. Here, he considers the implications of exemplary innovations—virtual care, hospital at home, advances in diagnosis and therapy, virtual learning, and virtual clinical learning—for regulators, academic medical centers, faculty, and students.
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                Author and article information

                Contributors
                daniel.furtner@transform-medcomms.com
                Journal
                Pharmaceut Med
                Pharmaceut Med
                Pharmaceutical Medicine
                Springer International Publishing (Cham )
                1178-2595
                1179-1993
                31 December 2021
                : 1-10
                Affiliations
                [1 ]Executive Office, Transform Medical Communications Limited, 184 Glasgow Street, Wanganui, 4500 New Zealand
                [2 ]Regional Medical Affairs, Pfizer Corporation Hong Kong Limited, 21st Floor, Kerry Center, 683 King’s Road, Quarry Bay, Hong Kong
                [3 ]Regional Medical Affairs, Pfizer Private Limited, 80 Pasir Panjang Road, #16-81/82, Mapletree Business City, Singapore, 117372 Singapore
                Author information
                http://orcid.org/0000-0002-5912-6439
                http://orcid.org/0000-0002-7423-3742
                Article
                412
                10.1007/s40290-021-00412-w
                8718376
                34970723
                b66b3440-597e-471b-b51a-12ed72436fa9
                © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 28 November 2021
                Categories
                Current Opinion

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