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Pharma Talk Radio에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Pharma Talk Radio 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Addressing the Lack of Structured, Clean Patient Data

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저장한 시리즈 ("피드 비활성화" status)

When? This feed was archived on September 11, 2025 12:13 (1M ago). Last successful fetch was on January 29, 2025 19:56 (9M ago)

Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 353045439 series 1118511
Pharma Talk Radio에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Pharma Talk Radio 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
In this session recorded at DPHARM 2022, moderated by Pfizer's Amy Cramer, the panelists discuss patient data. Often the elephant in the room that hinders the advancement of innovation in clinical trials for the benefit of patients in the lack of structured, clean patient data. R&D executives know the ability to garner greater data value from all data sources [clinical trials, EHRs, claims data, etc] is critical to supporting the future of drug development. The continued conundrum is that data is too often unstructured, incompatible, incomplete and unreliable and leads to an output of a research-intensive, operational bottlenecks. We have a unique group of panelists who will prioritize the critical issues first, provide potential solutions and address what to do about pending issues to be resolved. Speakers: Amy Cramer, Global Product Development Strategic Partnerships, PfizerXiaoying Wu, MD, MS, VP, Data Science Data Platform & Privacy, The Janssen Pharmaceutical Companies of Johnson & JohnsonPaul Bleicher, MD, PhD, Executive Partner, Arden EquityLekan Wang, Head, Machine Learning Services, Parexel
  continue reading

461 에피소드

Artwork
icon공유
 

저장한 시리즈 ("피드 비활성화" status)

When? This feed was archived on September 11, 2025 12:13 (1M ago). Last successful fetch was on January 29, 2025 19:56 (9M ago)

Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 353045439 series 1118511
Pharma Talk Radio에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Pharma Talk Radio 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
In this session recorded at DPHARM 2022, moderated by Pfizer's Amy Cramer, the panelists discuss patient data. Often the elephant in the room that hinders the advancement of innovation in clinical trials for the benefit of patients in the lack of structured, clean patient data. R&D executives know the ability to garner greater data value from all data sources [clinical trials, EHRs, claims data, etc] is critical to supporting the future of drug development. The continued conundrum is that data is too often unstructured, incompatible, incomplete and unreliable and leads to an output of a research-intensive, operational bottlenecks. We have a unique group of panelists who will prioritize the critical issues first, provide potential solutions and address what to do about pending issues to be resolved. Speakers: Amy Cramer, Global Product Development Strategic Partnerships, PfizerXiaoying Wu, MD, MS, VP, Data Science Data Platform & Privacy, The Janssen Pharmaceutical Companies of Johnson & JohnsonPaul Bleicher, MD, PhD, Executive Partner, Arden EquityLekan Wang, Head, Machine Learning Services, Parexel
  continue reading

461 에피소드

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