Electronic health records: research into design and implementation.

The whole point of electronic health records (EHRs) is to improve patient care and increase the efficiency of primary care practice. It has long been recognised that these goals are often not realised.1 Not all clinicians are enthusiastic adaptors of technology in the consulting room2 and there are differences between the US and the UK, both in utilisation and in national goals (Box 1). This reluctance may be because there are serious concerns about its impact on care.3,4 | US19 | UK20 | |:-------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------- | | • Over 50% of patients' demographic data recorded as structured data | • Already 100% | | | | • Over 80% of patients have at least one medication entry recorded as structured data | • Near 100% for all patients who have received a prescription of any kind | | | | • Over 40% of prescriptions are transmitted electronically using certified electronic-health-record technology | • Not standard or a planned target | | | | • One clinical decision support rule implemented | • Not standard or a planned target | | | | • Over 10% of patients are provided patient-specific education resources | • Not standard or a planned target | Box 1 US–UK computer utilisation and national goals To guide research which will be directed at improving the situation we need to be sure that the right issues and contexts are being addressed and that the best conceptual frameworks are being used. To date, EHR development and implementation been based on less helpful conceptual frameworks and assumptions.5 There are many potential areas of investigation where research is needed and we mention three for consideration: For the past 30 years the widespread adoption of EHRs was considered inevitable as predicted by the diffusion of innovation theory. The …

[1]  D. Coplen Types of Unintended Consequences Related to Computerized Provider Order Entry , 2007 .

[2]  Viswanath Venkatesh,et al.  Explaining physicians' use of EMR systems and performance in the shakedown phase , 2011, J. Am. Medical Informatics Assoc..

[3]  F. Sullivan,et al.  A descriptive feast but an evaluative famine: systematic review of published articles on primary care computing during 1980-97 , 2001, BMJ : British Medical Journal.

[4]  B. Karsh,et al.  A human factors engineering paradigm for patient safety: designing to support the performance of the healthcare professional , 2006, Quality and Safety in Health Care.

[5]  Arun Vishwanath,et al.  The impact of electronic medical record systems on outpatient workflows: A longitudinal evaluation of its workflow effects , 2010, Int. J. Medical Informatics.

[6]  R. Stafford,et al.  Electronic health records and clinical decision support systems: impact on national ambulatory care quality. , 2011, Archives of internal medicine.

[7]  Michael I. Harrison,et al.  Viewpoint Paper: Unintended Consequences of Information Technologies in Health Care - An Interactive Sociotechnical Analysis , 2007, J. Am. Medical Informatics Assoc..

[8]  Sharon E. Straus,et al.  The impact of the electronic medical record on structure, process, and outcomes within primary care: a systematic review of the evidence , 2011, J. Am. Medical Informatics Assoc..

[9]  S. Axelrad Field Theory in Social Science: Selected Theoretical Papers by Kurt Lewin , 1951 .

[10]  R. Holden Social and personal normative influences on healthcare professionals to use information technology: towards a more robust social ergonomics , 2012, Theoretical issues in ergonomics science.

[11]  Aziz Sheikh,et al.  Actor-Network Theory and its role in understanding the implementation of information technology developments in healthcare , 2010, BMC Medical Informatics Decis. Mak..

[12]  D. Blumenthal,et al.  The "meaningful use" regulation for electronic health records. , 2010, The New England journal of medicine.

[13]  Robert L. Wears,et al.  Health information technology: fallacies and sober realities , 2010, J. Am. Medical Informatics Assoc..

[14]  Richard J. Holden,et al.  Cognitive performance-altering effects of electronic medical records: an application of the human factors paradigm for patient safety , 2011, Cognition, Technology & Work.

[15]  Brian S. Butler,et al.  Ranked Levels of Influence model: Selecting influence techniques to minimize IT resistance , 2011, J. Biomed. Informatics.

[16]  C. Dowrick,et al.  Implementation Science Development of a Theory of Implementation and Integration: Normalization Process Theory , 2022 .

[17]  Jennifer Lai,et al.  Unintended Consequences of Information Technologies in Health Care—An Interactive Sociotechnical Analysis , 2007 .

[18]  A. Ziv,et al.  Primary Care Physicians’ Use of an Electronic Medical Record System: A Cognitive Task Analysis , 2009, Journal of General Internal Medicine.

[19]  E. Salas,et al.  Team cognition : understanding the factors that drive process and performance , 2004 .

[20]  C. Schoen,et al.  On the front lines of care: primary care doctors' office systems, experiences, and views in seven countries. , 2006, Health affairs.