Analysis of Clinical Record Data for Anticoagulation Management within an EHR System

Legal and professional implications of shared care: a case study in oral anticoagulation stroke prevention therapy

Background

Policy initiatives and technological advances enable the use of integrated shared care models of healthcare delivery whereby the focus of care is moved from the hospital to the community, and also of models where patients take increasing responsibility for monitoring and treatment. Such shifts may or may be perceived to change professional roles and responsibilities with implications to the delivery of a professionally and legally acceptable standard of care. We focus on oral anticoagulation and stroke prevention therapy to examine some possible professional and legal implications of the increasing use of shared care.

Methods

This paper sought to explore how changes in service delivery influence the discharge of professional responsibilities to patients receiving oral anti-coagulation therapy in the context of clinicians’ legal and professional duties. We used a case study of the implementation of a distributed care anti-coagulation service. Qualitative data were collected using complementary methods: participant observation, reflective journaling and legal analysis.

Results

Concerns identified by this study included a fear of litigation among both hospital and community-based professionals, a reluctance to embrace an extended role, uncertainty among professionals about the extent of their responsibilities and associated difficulties around adequate exchanges of information. These concerns reflected uncertainty among professionals about the legal and professional scope of the duty of care they owed patients.

Conclusion

The findings from this study emphasise the importance of clear role definition, communication and inter-agency cooperation for the successful implementation of a shared care service in which threats to professional and legal standards of care are minimised.

Assessing the validity of prospective hazard analysis methods: a comparison of two techniques

Background

Prospective Hazard Analysis techniques such as Healthcare Failure Modes and Effects Analysis (HFMEA) and Structured What If Technique (SWIFT) have the potential to increase safety by identifying risks before an adverse event occurs. Published accounts of their application in healthcare have identified benefits, but the reliability of some methods has been found to be low. The aim of this study was to examine the validity of SWIFT and HFMEA by comparing their outputs in the process of risk assessment, and comparing the results with risks identified by retrospective methods.

Methods

The setting was a community-based anticoagulation clinic, in which risk assessment activities had been previously performed and were available. A SWIFT and an HFMEA workshop were conducted consecutively on the same day by experienced experts. Participants were a mixture of pharmacists, administrative staff and software developers. Both methods produced lists of risks scored according to the method’s procedure. Participants’ views about the value of the workshops were elicited with a questionnaire.

Results

SWIFT identified 61 risks and HFMEA identified 72 risks. For both methods less than half the hazards were identified by the other method. There was also little overlap between the results of the workshops and risks identified by prior root cause analysis, staff interviews or clinical governance board discussions. Participants’ feedback indicated that the workshops were viewed as useful.

Conclusions

Although there was limited overlap, both methods raised important hazards. Scoping the problem area had a considerable influence on the outputs. The opportunity for teams to discuss their work from a risk perspective is valuable, but these methods cannot be relied upon in isolation to provide a comprehensive description. Multiple methods for identifying hazards should be used and data from different sources should be integrated to give a comprehensive view of risk in a system.