Rapid-learning system for cancer care. - Wikidata - awgldk - TriplyDB

Rapid-learning system for cancer care.

Rapid-learning system for cancer care.

http://www.wikidata.org/entity/Q34193994

about

Comparative effectiveness research in oncology Considerations for observational research using large data sets in radiation oncology Personalized medicine and opioid analgesic prescribing for chronic pain: opportunities and challenges Cancer pharmacogenomics, challenges in implementation, and patient-focused perspectives Measuring improvement in populations: implementing and evaluating successful change in lung cancer care Next-generation long-term transplant clinics: improving resource utilization and the quality of care through health information technology Enhancing the Evidence for Behavioral Counseling: A Perspective From the Society of Behavioral Medicine Integrating next-generation sequencing into clinical oncology: strategies, promises and pitfalls International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining An Association of Cancer Physicians' strategy for improving services and outcomes for cancer patients From Big Data to Knowledge in the Social Sciences The quality imperative for palliative care Pediatric palliative care and eHealth opportunities for patient-centered care Leveraging EHR data for outcomes and comparative effectiveness research in oncology Comparative effectiveness research, genomics-enabled personalized medicine, and rapid learning health care: a common bond.Data for cancer comparative effectiveness research: past, present, and future potential.A framework for understanding cancer comparative effectiveness research data needs Transparent reporting of data quality in distributed data networks.True translational research: bridging the three phases of translation through data and behavior.Point/Counterpoint. Future radiotherapy practice will be based on evidence from retrospective interrogation of linked clinical data sources rather than prospective randomized controlled clinical trials.Use of "Real-World" data to describe adverse events during the treatment of metastatic renal cell carcinoma in routine clinical practice.Towards a semantic PACS: Using Semantic Web technology to represent imaging data.Rapid learning in practice: a lung cancer survival decision support system in routine patient care data Preparing Electronic Clinical Data for Quality Improvement and Comparative Effectiveness Research: The SCOAP CERTAIN Automation and Validation Project Standardized data collection to build prediction models in oncology: a prototype for rectal cancer.Opportunities and challenges in leveraging electronic health record data in oncology.Data-Driven Iterative Refinement of Bone Marrow Testing Protocols Leads to Progressive Improvement in Cytogenetic and Molecular Test Utilization.The 5 R's: an emerging bold standard for conducting relevant research in a changing world.Optimizing personalized bone marrow testing using an evidence-based, interdisciplinary team approach.Time to reboot: resetting health care to support tobacco dependency treatment services.Structured decision-making: using personalized medicine to improve the value of cancer care.Getting the next version of payment policy "right" on the road toward accountable cancer care Low rates of adjuvant radiation in patients with nonmetastatic prostate cancer with high-risk pathologic features Physician level reporting of surgical and pathology performance indicators: a regional study to assess feasibility and impact on quality A tall order on a tight timeframe: stakeholder perspectives on comparative effectiveness research using electronic clinical data.Improving modern cancer care through information technology Operationalizing the learning health care system in an integrated delivery system.Implementing personalized medicine in a cancer center Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data Return of research results from pharmacogenomic versus disease susceptibility studies: what's drugs got to do with it?

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P2860

Rapid-learning system for cancer care.

http://www.wikidata.org/entity/Q34193994

description

2010 nî lūn-bûn

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2010 թուականի Յունիսին հրատարակուած գիտական յօդուած

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2010 թվականի հունիսին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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name

Rapid-learning system for cancer care.

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Rapid-learning system for cancer care.

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Rapid-learning system for cancer care.

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type

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Rapid-learning system for cancer care.

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Rapid-learning system for cancer care.

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Rapid-learning system for cancer care.

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Rapid-learning system for cancer care.

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Rapid-learning system for cancer care.

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Rapid-learning system for cancer care.

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JCO.2010.28.5478

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Journal of Clinical Oncology

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Rapid-learning system for cancer care.

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Chalapathy Neti

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Lynn M Etheredge

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Patricia A Ganz

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Paul Wallace

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Peter B Bach

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Robert R German

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Sharon B Murphy

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P2860

The meaning of translational research and why it matters

Electronic patient-reported data capture as a foundation of rapid learning cancer care.

Comparative effectiveness and health care spending--implications for reform.

Closing the evidence gap in the use of emerging testing technologies in clinical practice

Practical clinical trials: increasing the value of clinical research for decision making in clinical and health policy.

Systematic review: impact of health information technology on quality, efficiency, and costs of medical care.

Pharmacogenetics/genomics and personalized medicine.

A rapid-learning health system.

Moving closer to a rapid-learning health care system.

A map to bad policy--hospital efficiency measures in the Dartmouth Atlas

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28

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Amy P. Abernethy

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2010-06-28T00:00:00Z

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44806788

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20585094

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2953977

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