 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Daniel Matlock and David Kao.
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Connection Strength |
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0.562 |
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Allen LA, Venechuk G, McIlvennan CK, Page RL, Knoepke CE, Helmkamp LJ, Khazanie P, Peterson PN, Pierce K, Harger G, Thompson JS, Dow TJ, Richards L, Huang J, Strader JR, Trinkley KE, Kao DP, Magid DJ, Buttrick PM, Matlock DD. An Electronically Delivered Patient-Activation Tool for Intensification of Medications for Chronic Heart Failure With Reduced Ejection Fraction: The EPIC-HF Trial. Circulation. 2021 02 02; 143(5):427-437.
Score: 0.203
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Trinkley KE, Kahn MG, Bennett TD, Glasgow RE, Haugen H, Kao DP, Kroehl ME, Lin CT, Malone DC, Matlock DD. Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach. J Med Internet Res. 2020 10 29; 22(10):e19676.
Score: 0.202
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Trinkley KE, Wright G, Allen LA, Bennett TD, Glasgow RE, Hale G, Heckman S, Huebschmann AG, Kahn MG, Kao DP, Lin CT, Malone DC, Matlock DD, Wells L, Wysocki V, Zhang S, Suresh K. Sustained Effect of Clinical Decision Support for Heart Failure: A Natural Experiment Using Implementation Science. Appl Clin Inform. 2023 Oct; 14(5):822-832.
Score: 0.062
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Venechuk GE, Khazanie P, Page RL, Knoepke CE, Helmkamp LJ, Peterson PN, Pierce K, Thompson JS, Huang J, Strader JR, Dow TJ, Richards L, Trinkley KE, Kao DP, McIlvennan CK, Magid DJ, Buttrick PM, Matlock DD, Allen LA. An Electronically delivered, Patient-activation tool for Intensification of medications for Chronic Heart Failure with reduced ejection fraction: Rationale and design of the EPIC-HF trial. Am Heart J. 2020 11; 229:144-155.
Score: 0.050
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Trinkley KE, Blakeslee WW, Matlock DD, Kao DP, Van Matre AG, Harrison R, Larson CL, Kostman N, Nelson JA, Lin CT, Malone DC. Clinician preferences for computerised clinical decision support for medications in primary care: a focus group study. BMJ Health Care Inform. 2019 Apr; 26(1):0.
Score: 0.045
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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.
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