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Year Number of Results
2013 3
2014 2
2015 1
2016 6
2017 5
2018 3
2019 4
2020 2
2021 1
2022 0
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Practical challenges in integrating genomic data into the electronic health record.
Kho AN, Rasmussen LV, Connolly JJ, Peissig PL, Starren J, Hakonarson H, Hayes MG. Kho AN, et al. Genet Med. 2013 Oct;15(10):772-8. doi: 10.1038/gim.2013.131. Epub 2013 Sep 26. Genet Med. 2013. PMID: 24071798 Free PMC article. Review.
Practical challenges to integration of genomic data into electronic health records include size and complexity of genetic test results, inadequate use of standards for clinical and genetic data, and limitations in …
Practical challenges to integration of genomic data into electronic health records i …
Integrating cancer genomic data into electronic health records.
Warner JL, Jain SK, Levy MA. Warner JL, et al. Genome Med. 2016 Oct 26;8(1):113. doi: 10.1186/s13073-016-0371-3. Genome Med. 2016. PMID: 27784327 Free PMC article. Review.
At the same time, new technologies and the electronic health record (EHR) in particular have permeated the oncology clinic. ...Some of the key factors relating to the challenge of integrating cancer genomic data into EHRs include: …
At the same time, new technologies and the electronic health record (EHR) in particular have permeated the oncology cli …
Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications.
Magrabi F, Ammenwerth E, McNair JB, De Keizer NF, Hyppönen H, Nykänen P, Rigby M, Scott PJ, Vehko T, Wong ZS, Georgiou A. Magrabi F, et al. Yearb Med Inform. 2019 Aug;28(1):128-134. doi: 10.1055/s-0039-1677903. Epub 2019 Apr 25. Yearb Med Inform. 2019. PMID: 31022752 Free PMC article. Review.
OBJECTIVES: This paper draws attention to: i) key considerations for evaluating artificial intelligence (AI) enabled clinical decision support; and ii) challenges and practical implications of AI design, development, selection, use, and ongoing surveillance. ...Whil …
OBJECTIVES: This paper draws attention to: i) key considerations for evaluating artificial intelligence (AI) enabled clinical decision suppo …
Clinical genomics in the world of the electronic health record.
Marsolo K, Spooner SA. Marsolo K, et al. Genet Med. 2013 Oct;15(10):786-91. doi: 10.1038/gim.2013.88. Epub 2013 Jul 11. Genet Med. 2013. PMID: 23846403 Free PMC article. Review.
The widespread adoption of electronic health records presents a number of benefits to the field of clinical genomics. ...Specifically, we focus on the following areas: (i) how the electronic health record is used to capture data …
The widespread adoption of electronic health records presents a number of benefits to the field of clinical genomics …
Big Data Analytics for Genomic Medicine.
He KY, Ge D, He MM. He KY, et al. Int J Mol Sci. 2017 Feb 15;18(2):412. doi: 10.3390/ijms18020412. Int J Mol Sci. 2017. PMID: 28212287 Free PMC article. Review.
While integration and manipulation of diverse genomic data and comprehensive electronic health records (EHRs) on a Big Data infrastructure exhibit challenges, they also provide a feasible opportunity to develop an efficient …
While integration and manipulation of diverse genomic data and comprehensive electronic health records …
Integrated precision medicine: the role of electronic health records in delivering personalized treatment.
Sitapati A, Kim H, Berkovich B, Marmor R, Singh S, El-Kareh R, Clay B, Ohno-Machado L. Sitapati A, et al. Wiley Interdiscip Rev Syst Biol Med. 2017 May;9(3):10.1002/wsbm.1378. doi: 10.1002/wsbm.1378. Epub 2017 Feb 16. Wiley Interdiscip Rev Syst Biol Med. 2017. PMID: 28207198 Free PMC article. Review.
Precision Medicine involves the delivery of a targeted, personalized treatment for a given patient. By harnessing the power of electronic health records (EHRs), we are increasingly able to practice precision medicine to improve patient outcomes. ...We …
Precision Medicine involves the delivery of a targeted, personalized treatment for a given patient. By harnessing the power of electronic …
Stakeholder engagement: a key component of integrating genomic information into electronic health records.
Hartzler A, McCarty CA, Rasmussen LV, Williams MS, Brilliant M, Bowton EA, Clayton EW, Faucett WA, Ferryman K, Field JR, Fullerton SM, Horowitz CR, Koenig BA, McCormick JB, Ralston JD, Sanderson SC, Smith ME, Trinidad SB. Hartzler A, et al. Genet Med. 2013 Oct;15(10):792-801. doi: 10.1038/gim.2013.127. Epub 2013 Sep 12. Genet Med. 2013. PMID: 24030437 Free PMC article. Review.
We add to this evidence-based recommendations that are specific to issues at the intersection of genomics and the electronic health record. We describe stakeholder engagement strategies employed by the Electronic Medical Records and Ge …
We add to this evidence-based recommendations that are specific to issues at the intersection of genomics and the electronic …
Integrating Somatic and Germline Next-Generation Sequencing Into Routine Clinical Oncology Practice.
Hicks JK, Howard R, Reisman P, Adashek JJ, Fields KK, Gray JE, McIver B, McKee K, O'Leary MF, Perkins RM, Robinson E, Tandon A, Teer JK, Markowitz J, Rollison DE. Hicks JK, et al. JCO Precis Oncol. 2021 May 20;5:PO.20.00513. doi: 10.1200/PO.20.00513. eCollection 2021. JCO Precis Oncol. 2021. PMID: 34095711 Free PMC article. Review.
Next-generation sequencing (NGS) is rapidly expanding into routine oncology practice. Genetic variations in both the cancer and inherited genomes are informative for hereditary cancer risk, prognosis, and treatment strategies. ...Several of these key considerations …
Next-generation sequencing (NGS) is rapidly expanding into routine oncology practice. Genetic variations in both the cancer and inher …
Bridging the integration gap between patient-generated blood glucose data and electronic health records.
Lewinski AA, Drake C, Shaw RJ, Jackson GL, Bosworth HB, Oakes M, Gonzales S, Jelesoff NE, Crowley MJ. Lewinski AA, et al. J Am Med Inform Assoc. 2019 Jul 1;26(7):667-672. doi: 10.1093/jamia/ocz039. J Am Med Inform Assoc. 2019. PMID: 31192360 Free PMC article.
To address current gaps in integration of patient-generated health data into the electronic health record (EHR), we examined 2 patient-facing platforms, Epic MyChart and Apple HealthKit, both of which facilitated the uploading of blood gl …
To address current gaps in integration of patient-generated health data into the electronic health rec …
Biomedical informatics and machine learning for clinical genomics.
Diao JA, Kohane IS, Manrai AK. Diao JA, et al. Hum Mol Genet. 2018 May 1;27(R1):R29-R34. doi: 10.1093/hmg/ddy088. Hum Mol Genet. 2018. PMID: 29566172 Free PMC article. Review.
While tens of thousands of pathogenic variants are used to inform the many clinical applications of genomics, there remains limited information on quantitative disease risk for the majority of variants used in clinical practice. ...These approaches often leverage va …
While tens of thousands of pathogenic variants are used to inform the many clinical applications of genomics, there remains limited i …
26 results