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Connection

Mark Hoffman to Electronic Health Records

This is a "connection" page, showing publications Mark Hoffman has written about Electronic Health Records.

 
Connection Strength
  
 
 
3.488
  
  1. Sivasankar S, Cheng AL, Hoffman M. Ranking Methodology to Evaluate the Severity of a Quality Gap Using a National EHR Database. AMIA Jt Summits Transl Sci Proc. 2021; 2021:565-574.
    View in: PubMed
    Score: 0.759
  2. Wood NM, Davis S, Lewing K, Noel-MacDonnell J, Glynn EF, Caragea D, Hoffman MA. Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy. JCO Clin Cancer Inform. 2021 03; 5:239-251.
    View in: PubMed
    Score: 0.748
  3. DeShazo JP, Hoffman MA. A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample. BMC Health Serv Res. 2015 Sep 15; 15:384.
    View in: PubMed
    Score: 0.512
  4. Laird-Maddox M, Mitchell SB, Hoffman M. Integrating research data capture into the electronic health record workflow: real-world experience to advance innovation. Perspect Health Inf Manag. 2014; 11:1e.
    View in: PubMed
    Score: 0.480
  5. Hoffman MA, Williams MS. Electronic medical records and personalized medicine. Hum Genet. 2011 Jul; 130(1):33-9.
    View in: PubMed
    Score: 0.378
  6. Sivasankar S, Cheng AL, Lubin IM, Lankachandra K, Hoffman MA. Use of large scale EHR data to evaluate A1c utilization among sickle cell disease patients. BMC Med Inform Decis Mak. 2021 09 18; 21(1):268.
    View in: PubMed
    Score: 0.194
  7. Kane NJ, Wang X, Gerkovich MM, Breitkreutz M, Rivera B, Kunchithapatham H, Hoffman MA. The Envirome Web Service: Patient context at the point of care. J Biomed Inform. 2021 07; 119:103817.
    View in: PubMed
    Score: 0.190
  8. Masys DR, Jarvik GP, Abernethy NF, Anderson NR, Papanicolaou GJ, Paltoo DN, Hoffman MA, Kohane IS, Levy HP. Technical desiderata for the integration of genomic data into Electronic Health Records. J Biomed Inform. 2012 Jun; 45(3):419-22.
    View in: PubMed
    Score: 0.099
  9. Wiley K, Findley L, Goldrich M, Rakhra-Burris TK, Stevens A, Williams P, Bult CJ, Chisholm R, Deverka P, Ginsburg GS, Green ED, Jarvik G, Mensah GA, Ramos E, Relling MV, Roden DM, Rowley R, Alterovitz G, Aronson S, Bastarache L, Cimino JJ, Crowgey EL, Del Fiol G, Freimuth RR, Hoffman MA, Jeff J, Johnson K, Kawamoto K, Madhavan S, Mendonca EA, Ohno-Machado L, Pratap S, Taylor CO, Ritchie MD, Walton N, Weng C, Zayas-Cab?n T, Manolio TA, Williams MS. A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources. J Am Med Inform Assoc. 2022 07 12; 29(8):1342-1349.
    View in: PubMed
    Score: 0.051
  10. McMahon AW, Cooper WO, Brown JS, Carleton B, Doshi-Velez F, Kohane I, Goldman JL, Hoffman MA, Kamaleswaran R, Sakiyama M, Sekine S, Sturkenboom MCJM, Turner MA, Califf RM. Big Data in the Assessment of Pediatric Medication Safety. Pediatrics. 2020 02; 145(2).
    View in: PubMed
    Score: 0.043
  11. Tenenbaum JD, Avillach P, Benham-Hutchins M, Breitenstein MK, Crowgey EL, Hoffman MA, Jiang X, Madhavan S, Mattison JE, Nagarajan R, Ray B, Shin D, Visweswaran S, Zhao Z, Freimuth RR. An informatics research agenda to support precision medicine: seven key areas. J Am Med Inform Assoc. 2016 07; 23(4):791-5.
    View in: PubMed
    Score: 0.033
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.