Health Services Research

Health Services Research

Akrivia Health is a valuable resource for conducting health services research, which focuses on studying the organisation, delivery, utilisation, and outcomes of healthcare services. 

Here are some ways our consultancy team can support health services research

Healthcare utilisation analysis

Electronic health records (EHRs), can provide insights into patterns of healthcare utilisation. Our Research Consultants can use Akrivia SynapseTM to examine factors such as frequency of visits, types of services utilised, healthcare provider distribution, and regional variations in healthcare utilisation.

Health outcomes assessment

Our team can evaluate health outcomes in real-world settings. By analysing patient data from sources like EHRs or disease registries, researchers can assess factors such as disease progression, treatment effectiveness, patient-reported outcomes, and long-term outcomes of healthcare interventions.

Comparative effectiveness research

Compare different healthcare interventions and determine their relative effectiveness in real-world practice. Researchers can use RWD to evaluate treatment outcomes, healthcare resource utilisation, and medical resource utilisation across different interventions.

Health disparities and equity analysis

RWD is a rich resource for understanding healthcare disparities and equity issues. By examining patient data, researchers can identify disparities in healthcare access, treatment outcomes, or quality of care among different populations, helping to inform interventions and policy changes to address these disparities.

Health economics and cost analysis

Valuable insights are gained by assessing the economic aspects of healthcare services using RWD. Researchers can analyse healthcare costs, resource utilisation, medical resource utilisation of interventions, and the economic impact of healthcare policies or interventions.

Health policy evaluation

Researchers can assess the impact of policy changes, such as the introduction of new payment models, quality improvement initiatives, or healthcare delivery reforms, thereby supporting the evaluation of health policies and interventions.

Quality improvement and patient safety

RWD can be used to identify areas for quality improvement and patient safety initiatives. Researchers can identify adverse events, medication errors, healthcare-associated infections, or other safety concerns, leading to targeted interventions and improvements in healthcare delivery.

Predictive modelling and risk stratification

RWD can be leveraged to develop predictive models and risk stratification tools. By analysing patient data, researchers can identify risk factors, develop predictive algorithms, and stratify patient populations based on their likelihood of specific health outcomes, enabling targeted interventions and personalised healthcare.

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