1.
Taylor, P. From patient data to medical knowledge: the principles and practice of health informatics. (BMJ, 2006).
2.
Coiera, E. Guide to health informatics. (CRC Press, 2015).
3.
Foley, T. & Fairmichael, F. The Potential of Learning Healthcare Systems. (2015).
4.
Wachter, R. Using information technology to improve the NHS. (2016).
5.
GREENHALGH, T., Potts, H. W. W., Wong, G., Bark, P. & Swinglehurst, D. Tensions and paradoxes in electronic patient record research: a systematic literature review using the meta-narrative method. The Milbank Quarterly 87, 729–788 (2009).
6.
Friedman, C. et al. Toward a science of learning systems: a research agenda for the high-functioning Learning Health System. Journal of the American Medical Informatics Association (2014) doi:10.1136/amiajnl-2014-002977.
7.
Yom-Tov, E., Borsa, D., Cox, I. J. & McKendry, R. A. Detecting Disease Outbreaks in Mass Gatherings Using Internet Data. Journal of Medical Internet Research 16, (2014).
8.
Dixon, J. et al. Assessment of the reproducibility of clinical coding in routinely collected hospital activitydata: a study in two hospitals. Journal of Public Health 20, 63–69 (1998).
9.
Taylor, P. Rigging the Death Rate. The London Review of Books (11AD).
10.
Freemantle, N. et al. Weekend hospitalization and additional risk of death: An analysis of inpatient data. JRSM 105, 74–84 (2012).
11.
Li, L. & Rothwell, P. M. Biases in detection of apparent "weekend effect” on outcome with administrative coding data: population based study of stroke. BMJ (2016) doi:10.1136/bmj.i2648.
12.
Li, L. et al. Identification of type 2 diabetes subgroups through topological analysis of patient similarity. Science Translational Medicine 7, 311ra174-311ra174 (2015).
13.
D’Agostino, R. B. et al. General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study. Circulation 117, 743–753 (2008).
14.
Weissman, J. S. et al. Comparing Patient-Reported Hospital Adverse Events with Medical Record Review: Do Patients Know Something That Hospitals Do Not? Annals of Internal Medicine 149, (2008).
15.
Staa, T.-P. v. et al. Pragmatic randomised trials using routine electronic health records: putting them to the test. BMJ 344, e55–e55 (2012).
16.
GREENHALGH, T., ROBERT, G., MACFARLANE, F., BATE, P. & KYRIAKIDOU, O. Diffusion of Innovations in Service Organizations: Systematic Review and Recommendations. The Milbank Quarterly 82, 581–629 (2004).
17.
Michie, S., van Stralen, M. M. & West, R. The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science 6, (2011).
18.
Fox, J., Gutenstein, M., Khan, O., South, M. & Thomson, R. OpenClinical.net: A platform for creating and sharing knowledge and promoting best practice in healthcare. Computers in Industry 66, 63–72 (2015).
19.
Sherlaw-Johnson, C. A Method for Detecting Runs of Good and Bad Clinical Outcomes on Variable Life-Adjusted Display (VLAD) Charts. Health Care Management Science 8, 61–65 (2005).
20.
Rapley, T. et al. Doctor–patient interaction in a randomised controlled trial of decision-support tools. Social Science & Medicine 62, 2267–2278 (2006).
21.
Carpenter, I., Ram, M. B., Croft, G. P. & Williams, J. G. Medical records and record-keeping standards. Clinical Medicine 7, 328–331 (2007).
22.
Cimino, J. J. Desiderata for controlled medical vocabularies in the twenty-first century. Methods of Information in Medicine 37, 394–403 (1998).
23.
IHTSDO. SNOMED Clinical Terms ® User Guide January 2010 International Release. (2010).
24.
Rector, A. L. Clinical Terminology: Why Is it so Hard? Methods of Information in Medicine 38, 239–252 (1999).
25.
Rector, A. L., Brandt, S. & Schneider, T. Getting the foot out of the pelvis: modeling problems affecting use of SNOMED CT hierarchies in practical applications. Journal of the American Medical Informatics Association 18, 432–440 (2011).
26.
Cornet, R. Definitions and Qualifiers in SNOMED CT. Methods of Information in Medicine 48, 178–183 (2009).
27.
Bramley, M. A framework for evaluating health classifications . Health Information Management 34, 71–83 (2005).
28.
Sampalli, T., Shepherd, M., Duffy, J. & Fox, R. An evaluation of SNOMED CT® in the domain of complex chronic conditions. International Journal of Integrated Care 10, (2010).
29.
Kripalani, S. et al. Deficits in Communication and Information Transfer Between Hospital-Based and Primary Care PhysiciansImplications for Patient Safety and Continuity of Care. JAMA: The Journal of the American Medical Association 297, (2007).
30.
Knowles, R. L., Bull, C., Wren, C. & Dezateux, C. Ethics, governance and consent in the UK: implications for research into the longer-term outcomes of congenital heart defects. Archives of Disease in Childhood 96, 14–20 (2009).
31.
Lyons, R. A. et al. The SAIL databank: linking multiple health and social care datasets. BMC Medical Informatics and Decision Making 9, (2009).
32.
Singleton, P. & Wadsworth, M. Consent for the use of personal medical data in research. BMJ 333, 255–258 (2006).
33.
Willard, H. F., Angrist, M. & Ginsburg, G. S. Genomic medicine: genetic variation and its impact on the future of health care. Philosophical Transactions of the Royal Society B: Biological Sciences 360, 1543–1550 (2005).
34.
Eichelbaum, M., Ingelman-Sundberg, M. & Evans, W. E. Pharmacogenomics and Individualized Drug Therapy. Annual Review of Medicine 57, 119–137 (2006).
35.
El Emam, K. et al. The re-identification risk of Canadians from longitudinal demographics. BMC Medical Informatics and Decision Making 11, (2011).
36.
McCowan, C., Kidd, B. & Fahey, T. Factors associated with mortality in Scottish patients receiving methadone in primary care: retrospective cohort study. BMJ 338, b2225–b2225 (2009).
37.
Xu, H. et al. Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin. Journal of the American Medical Informatics Association 18, 387–391 (2011).
38.
Willison, D. J. et al. Access to medical records for research purposes: varying perceptions across research ethics boards. Journal of Medical Ethics 34, 308–314 (2008).
39.
Winkler, W. E. Overview of Record Linkage and Current Research Directions (Statistics #2006-2). RESEARCH REPORT SERIES (2006).
40.
McCartney, M. Care.data doesn’t care enough about consent. BMJ 348, g2831–g2831 (2014).
41.
Sheather, J. & Brannan, S. Patient confidentiality in a time of care.data. BMJ 347, f7042–f7042 (2013).
42.
Fellegi, I. P. & Sunter, A. B. A Theory for Record Linkage. Journal of the American Statistical Association 64, 1183–1210 (1969).
43.
Finney, J. M., Walker, A., Peto, T. E. & Wyllie, D. H. An efficient record linkage scheme using graphical analysis for identifier error detection. BMC Medical Informatics and Decision Making 11, (2011).
44.
Steventon, A. et al. Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial. BMJ 344, e3874–e3874 (2012).
45.
Cottrell, E., Chambers, R. & O’Connell, P. Using simple telehealth in primary care to reduce blood pressure: a service evaluation. BMJ Open 2, e001391–e001391 (2012).
46.
Cottrell, E., McMillan, K. & Chambers, R. A cross-sectional survey and service evaluation of simple telehealth in primary care: what do patients think? BMJ Open 2, e001392–e001392 (2012).
47.
Polisena, J. et al. Home telehealth for diabetes management: a systematic review and meta-analysis. Diabetes, Obesity and Metabolism 11, 913–930 (2009).
48.
Sanders, C. et al. Exploring barriers to participation and adoption of telehealth and telecare within the Whole System Demonstrator trial: a qualitative study. BMC Health Services Research 12, (2012).
49.
NHS e - Referral Service Vision and Key messages.
50.
Choose and Book Directory of Services.
51.
Greenhalgh, T., Stones, R. & Swinglehurst, D. Choose and Book: A sociological analysis of ‘resistance’ to an expert system. Social Science & Medicine 104, 210–219 (2014).
52.
Gallivan, S., Utley, M., Treasure, T. & Valencia, O. Booked inpatient admissions and hospital capacity: mathematical modelling study. BMJ 324, 280–282 (2002).
53.
Green, J., McDowall, Z. & Potts, H. W. Does Choose & Book fail to deliver the expected choice to patients? A survey of patients’ experience of outpatient appointment booking. BMC Medical Informatics and Decision Making 8, (2008).
54.
Mol, A. The Logic of Care. (Routledge, 2008). doi:10.4324/9780203927076.
55.
Greenhalgh, T. et al. Adoption and non-adoption of a shared electronic summary record in England: a mixed-method case study. BMJ 340, c3111–c3111 (2010).
56.
Greenhalgh, T., Hinder, S., Stramer, K., Bratan, T. & Russell, J. Adoption, non-adoption, and abandonment of a personal electronic health record: case study of HealthSpace. BMJ 341, c5814–c5814 (2010).
57.
Walport, M. Do summary care records have the potential to do more harm than good? No. BMJ 340, c3022–c3022 (2010).
58.
Anderson, R. Do summary care records have the potential to do more harm than good? Yes. BMJ 340, c3020–c3020 (2010).
59.
Greenhalgh, T., Wood, G. W., Bratan, T., Stramer, K. & Hinder, S. Patients’ attitudes to the summary care record and HealthSpace: qualitative study. BMJ 336, 1290–1295 (2008).
60.
Tang, P. C., Ash, J. S., Bates, D. W., Overhage, J. M. & Sands, D. Z. Personal Health Records: Definitions, Benefits, and Strategies for Overcoming Barriers to Adoption. Journal of the American Medical Informatics Association 13, 121–126 (2006).
61.
Delbanco, T. et al. Inviting Patients to Read Their Doctors’ Notes: A Quasi-experimental Study and a Look Ahead. Annals of Internal Medicine 157, 461–470 (2012).
62.
Information for health: an information strategy for the modern NHS 1998-2005 - executive summary : Department of Health - Publications.
63.
Greenhalgh, T. et al. The Devil’s in the Detail: Final report of the independent evaluation of  the Summary Care Record and HealthSpace  programmes. (2010).
64.
Adams, T., Budden, M., Hoare, C. & Sanderson, H. Lessons from the central Hampshire electronic health record pilot project: issues of data protection and consent. BMJ 328, 871–874 (2004).
65.
BMA Policies BMA General Practitioners, 2006. (2006).
66.
National: Medical records: Whose right to know?: What can patients do? The Guardian Newspaper (2006).
67.
Cresswell, K. M., Worth, A. & Sheikh, A. Integration of a nationally procured electronic health record system into user work practices. BMC Medical Informatics and Decision Making 12, (2012).
68.
Greenhalgh, T. & Keen, J. England’s national programme for IT. BMJ 346, f4130–f4130 (2013).
69.
Blumenthal, D. Implementation of the Federal Health Information Technology Initiative. New England Journal of Medicine 365, 2426–2431 (2011).
70.
Wright, A. et al. Early Results of the Meaningful Use Program for Electronic Health Records. New England Journal of Medicine 368, 779–780 (2013).
71.
Koppel, R. & Lehmann, C. U. Implications of an emerging EHR monoculture for hospitals and healthcare systems. Journal of the American Medical Informatics Association 22, 465–471 (2014).
72.
Mandl, K. D. & Kohane, I. S. Escaping the EHR Trap — The Future of Health IT. New England Journal of Medicine 366, 2240–2242 (2012).
73.
Wachter, R. The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age. (McGraw-Hill, 2015).
74.
O’Dowd, A. New e-records system leads to 20% drop in emergency department performance at Addenbrooke’s. BMJ 349, g7537–g7537 (2014).
75.
National Programme for IT: costs and benefits. (Department of Health, 2013).
76.
Addenbrookes and the Rosie Hospitals (Quality Report). (2015).
77.
Shapiro, J. S., Mostashari, F., Hripcsak, G., Soulakis, N. & Kuperman, G. Using Health Information Exchange to Improve Public Health. American Journal of Public Health 101, 616–623 (2011).
78.
Dixon, B. E., Pina, J., Kharrazi, H., Gharghabi, F. & Richards, J. What’s Past is Prologue: A Scoping Review of Recent Public and Global Health Informatics Literature. Online Journal of Public Health Informatics 7, (2015).
79.
Koo, D., O’Carroll, P. & LaVenture, M. Public Health 101 for Informaticians. Journal of the American Medical Informatics Association : JAMIA 8, (2001).