Prof Hardeep Singh
Senior Faculty
Hardeep Singh, M.D., M.P.H. is a general internist and Chief of Health Policy, Quality & Informatics Program, Center for Innovations in Quality, Effectiveness and Safety based at the Michael E. DeBakey Veterans Affairs (VA) Medical Center and Baylor College of Medicine, Houston. He leads a portfolio of patient safety research in improving the use of health information technology and reducing diagnostic errors in health care. His research has informed several national and international patient safety initiatives and policy reports, including those by the National Academy of Medicine (formerly the IOM), US Department of Health and Human Services, National Quality Forum (NQF), American Medical Association, Agency for Healthcare Research and Quality, OECD and the WHO.
In addition to co-developing the national VA policy on diagnostic test results communication, Hardeep co-chaired the National Quality Forum committee on recommendations for health IT safety measurement and co-developed the “ONC SAFER Guides” that provide national recommendations for safe electronic health record use. He has served as Co-Chair of ‘Closing the Referral Loop in EHR Expert Panel’ convened by the Institute for Healthcare Improvement and was a nominated member of the federal Clinical Laboratory Improvement Advisory Committee, which advises the CDC, FDA and CMS. In 2014, he was elected as a Fellow of the American College of Medical Informatics for significant and sustained contributions to biomedical informatics. Hardeep received the 2012 AcademyHealth Alice S. Hersh New Investigator Award for high impact research and in 2014, received the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE) from President Obama for pioneering work in the field. His multidisciplinary team’s work received the 2016 VA Health System Impact Award, which honors VA-funded research that significantly impacts clinical practice and policy.
Follow Hardeep on Twitter @HardeepSinghMD
+001 713 794 8515
Baylor College of Medicine, Houston, Texas, US
Patient safety, related to electronic health record implementation and use, and health information technology to identify and reduce diagnostic errors.
- Understanding missed diagnostic opportunities in bladder and kidney cancer
- Establishing which modalities of artificial intelligence machine learning (AI/ML) for early detection and diagnosis of cancer are ready for implementation in primary care in the NHS: a Systematic Review
- Achieving earlier cancer diagnosis in primary care using routine blood test results: a study using US healthcare claims data
- The failure to follow up abnormal test results associated with undiagnosed prevalent cancer in primary care
- Are common blood tests being optimally used for early cancer diagnosis? (PhD)
- Safer Dx e-Measures for Reducing Preventable Delays in Cancer Diagnosis
- Kwan JL, Singh H. General Internists in Pursuit of Diagnostic Excellence in Primary Care: a #ProudtobeGIM Thread That Unites Us All. Journal of General Internal Medicine, 33(4): 395-396
- Mendonca SC, Abel GA, Gildea C, McPhail S, Peake MD, Rubin G, Singh H, Hamilton W, Walter FM, Roland MO, Lyratzopoulos G. Associations between general practice characteristics with use of urgent referrals for suspected cancer and endoscopies: a cross-sectional ecological study. Family Practice, 2018, cmy118
- Murphy DR, Satterly T, Rogith D, Sittig DF, Singh H. Barriers and facilitators impacting reliability of the electronic health record-facilitated total testing process. International Journal of Medical Informatics, 2019, 127: 102-108
- Walter FM, Thompson MJ, Wellwood I, Abel GA, Hamilton W, Johnson M, Lyratzopoulos G, Messenger MP, Neal RD, Rubin G, Singh H, Spencer A, Sutton S, Vedstead P, Emery JD. Evaluating diagnostic strategies for early detection of cancer: the CanTest framework. BMC Cancer, 2019, 19:586
- Renzi C, Kaushal A, Emery J, Hamilton W, Neal RD, Rachet B, Rubin G, Singh H, Walter FM, de Wit NJ, Lyratzopoulos G. Comorbid chronic diseases and cancer diagnosis: disease-specific effects and underlying mechanisms. Nature Reviews: Clinical Oncology, 2019, https://doi.org/10.1038/s41571-019-0249-6
- Amelung D, Whitaker KL, Lennard D, Ogden M, Sheringham J, Zhou Y, Walter FM, Singh H, Vincent C, Black G. Influence of doctor-patient conversations on behaviours of patients presenting to primary care with new or persistent symptoms: a video observation study. BMJ Quality & Safety, https://doi.org/10.1136/bmjqs-2019-009485
- Zhou Y, van Melle M, Singh H, Hamilton W, Lyratzopoulos G, Walter FM. Quality of the Diagnostic Process in Patients Presenting with Symptoms Suggestive of Bladder or Kidney Cancer: A Systematic Review. British Medical Journal Open, 2019, 2019;9:e029143. doi: 10.1136/bmjopen-2019-029143
- Singh H, Khanna K, Spitzmueller C, Meyer AND. Recommendations for using the Revised Safer Dx Instrument to help measure and improve diagnostic safety. Diagnosis, 2019. pii: /j/dx.ahead-of-print/dx-2019-0012/dx-2019-0012.xml. doi: 10.1515/dx-2019-0012
- Murphy DR., Giardina TD, Satterly T, Sittig DF, Singh H. An Exploration of Barriers, Facilitators, and Suggestions for Improving Electronic Health Record Inbox-Related Usability. A Qualitative Analysis. JAMA Network Open, 2019, 2(10):e1912638, doi:10.1001/jamanetworkopen.2019.12638
- Zhou Y, Abel GA, Hamilton W, Singh H, Walter FM, Lyratzopoulos G. Imaging activity possibly signalling missed diagnostic opportunities in bladder and kidney cancer: A longitudinal data-linkage study using primary care electronic health records. Cancer Epidemiology, 2020, doi: 10.1016/j.canep.2020.101703
- Jones OT, Calanzani N, Saji S, Duffy SW, Emery J, Hamilton W, Singh H, de Wit N, Walter F. Application of artificial intelligence to electronic health records for early detection and diagnosis of cancer in primary care: a Systematic Review. JMIR, 2020:23483, doi: 10.2196/preprints.23483
- Singh H, Sittig DF, Gandhi TK. Fighting a common enemy: a catalyst to close intractable safety gaps. BMJ Quality & Safety, 2020, doi: 10.1136/bmjqs-2020-011390
- Gandhi TK, Singh H. Reducing the Risk of Diagnostic Error in the COVID-19 Era. Journal of Hospital Medicine, 2020 June;15(6): 363-366, doi: 10.12788/jhm.3461
- Giadina TD, Royse KE, Khanna A, Haskell H, Hallisy J, Southwick F, Singh H. Health Care Provider Factors Associated with Patient-Reported Adverse Events and Harm. Joint Commission Journal on Quality and Patient Safety, 2020, 5: 282-290, doi: 10.1016/j.jcjq.2020.02.004
- Zhou Y, Walter FM, Singh H, Hamilton W, Abel GA, Lyratzopoulos. Prolonged Diagnostic Intervals as Marker of Missed Diagnostic Opportunities in Bladder and Kidney Cancer Patients with Alarm Features: A Longitudinal Linked Data Study. Cancers, 2021, 13(1): 156, doi: 10.3390/cancers13010156
- Jones OT, Calanzani N, Saji S, Duffy SW, Emery J, Hamilton W, Singh H, de Wit NJ, Walter FM. Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review. J Med Internet Res, 2021;23(3):e23483. doi: 10.2196/23483
- Cheraghi-Sohi S, Holland F, Singh H, Danczak A, Esmail A, Morris RL, Small N, Williams R, de Wet C, Campbell SM, Reeves D. Incidence, origins and avoidable harm of missed opportunities in diagnosis: longitudinal patient record review in 21 English general practices. BMJ Quality & Safety, 2021, doi: 10.1136/bmjqs-2020-012594
- Meyer AND, Giardina TD, Khawaja L, Singh H. Patient and clinician experiences of uncertainty in the diagnostic process: Current understanding and future directions. Patient Education and Counseling, 2021, doi: 10.1016/j.pec.2021.07.028