Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

David Westfall Bates, M.D.

Co-Author

This page shows the publications co-authored by David Bates and Adam Landman.
Connection Strength

3.670
  1. Use of Medical Scribes to Reduce Documentation Burden: Are They Where We Need to Go With Clinical Documentation? JAMA Intern Med. 2018 11 01; 178(11):1472-1473.
    View in: PubMed
    Score: 0.820
  2. Association of Display of Patient Photographs in the Electronic Health Record With Wrong-Patient Order Entry Errors. JAMA Netw Open. 2020 11 02; 3(11):e2019652.
    View in: PubMed
    Score: 0.235
  3. Characteristics of Patients Using Patient-Facing Application Programming Interface Technology at a US Health Care System. JAMA Netw Open. 2020 10 01; 3(10):e2022408.
    View in: PubMed
    Score: 0.234
  4. Beyond validation: getting health apps into clinical practice. NPJ Digit Med. 2020; 3:14.
    View in: PubMed
    Score: 0.224
  5. Comparing Characteristics of Patients Who Connect Their iPhones to an Electronic Health Records System Versus Patients Who Connect Without Personal Devices: Cohort Study. J Med Internet Res. 2019 08 22; 21(8):e14871.
    View in: PubMed
    Score: 0.217
  6. Health Apps and Health Policy: What Is Needed? JAMA. 2018 11 20; 320(19):1975-1976.
    View in: PubMed
    Score: 0.206
  7. Core Components for a Clinically Integrated mHealth App for Asthma Symptom Monitoring. Appl Clin Inform. 2017 10; 8(4):1031-1043.
    View in: PubMed
    Score: 0.193
  8. Mobile Health Apps: The Authors Reply. Health Aff (Millwood). 2017 06 01; 36(6):1144.
    View in: PubMed
    Score: 0.186
  9. Mobile Health Applications: The Authors Reply. Health Aff (Millwood). 2017 02 01; 36(2):384.
    View in: PubMed
    Score: 0.182
  10. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR Mhealth Uhealth. 2016 Dec 19; 4(4):e136.
    View in: PubMed
    Score: 0.180
  11. Many Mobile Health Apps Target High-Need, High-Cost Populations, But Gaps Remain. Health Aff (Millwood). 2016 12 01; 35(12):2310-2318.
    View in: PubMed
    Score: 0.179
  12. Developing a Framework for Evaluating the Patient Engagement, Quality, and Safety of Mobile Health Applications. Issue Brief (Commonw Fund). 2016 Feb; 5:1-11.
    View in: PubMed
    Score: 0.169
  13. Certification of mobile apps for health care--reply. JAMA. 2014 Sep 17; 312(11):1156-7.
    View in: PubMed
    Score: 0.154
  14. In search of a few good apps. JAMA. 2014 May 14; 311(18):1851-2.
    View in: PubMed
    Score: 0.150
  15. A clinician survey of using speech recognition for clinical documentation in the electronic health record. Int J Med Inform. 2019 10; 130:103938.
    View in: PubMed
    Score: 0.054
  16. Effect of Restriction of the Number of Concurrently Open Records in an Electronic Health Record on Wrong-Patient Order Errors: A Randomized Clinical Trial. JAMA. 2019 05 14; 321(18):1780-1787.
    View in: PubMed
    Score: 0.053
  17. Analysis of Errors in Dictated Clinical Documents Assisted by Speech Recognition Software and Professional Transcriptionists. JAMA Netw Open. 2018 07; 1(3):e180530.
    View in: PubMed
    Score: 0.050
  18. Increased Patient Satisfaction and a Reduction in Pre-Analytical Errors Following Implementation of an Electronic Specimen Collection Module in Outpatient Phlebotomy. Lab Med. 2017 Aug 01; 48(3):282-289.
    View in: PubMed
    Score: 0.047
  19. Top ten challenges when interfacing a laboratory information system to an electronic health record: Experience at a large academic medical center. Int J Med Inform. 2017 10; 106:9-16.
    View in: PubMed
    Score: 0.047
  20. The Benefits and Challenges of an Interfaced Electronic Health Record and Laboratory Information System: Effects on Laboratory Processes. Arch Pathol Lab Med. 2017 Mar; 141(3):410-417.
    View in: PubMed
    Score: 0.046
  21. Significant Reduction in Preanalytical Errors for Nonphlebotomy Blood Draws After Implementation of a Novel Integrated Specimen Collection Module. Am J Clin Pathol. 2016 Oct; 146(4):456-61.
    View in: PubMed
    Score: 0.044
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.