The need for clinical analytics is going to increase not only because healthcare organisations gain the ability to uncover more sophisticated analytics, but this is also going to be driven by the steep and rapid increase in available clinical data backed by an imperative to improve clinical outcomes. Clinical analytics is poised to become an essential tool that makes use of real-time medical data to generate insights, take decisions, predict outcomes, and decrease costs by enabling early interventions for potential clinical complications. It will lead to continuous improvement of quality of care, faster development of better treatment protocols and improvement in human health on population scales.
One aspect of this is the increasing use of data-enabled, evidence-based solutions across organisations. Patient care is an evolving process and the availability of continuous increasing data sets should produce information that will allow to adopt and enhance patient care. This is true in the provider aspect, where healthcare providers can ensure that they are prescribing the best treatment for patients with certain problems & symptoms, diseases or conditions.
Clinical Analytics will provide better output to examine more population-based data, to compare and contrast treatment plans for the diseases to identify which treatment plan & clinical pathway has the most encouraging outcome as lot of efforts are planned to implement the centralised clinical data repository covering public & private healthcare providers covering primary and secondary care, which could be beneficial for both insurance providers and hospitals.
On the other hand, there is also a concern that the level of clinical analytics, that is necessary, will become little complex. As the field evolves, respondents raised the concern that the items that are appropriate for data analysis today will become mainstream and the healthcare industry will have an appetite for more complex questions that we presently don’t have the software and tools to address with accuracy. One example shared was that it will no longer be a concern that all diabetic patients get two-time hba1c test done per year. The industry will instead be focused on more complex clinical measures.
One of the key factors of clinical analytics will be helping individual providers and the hospitals to submit research paper with accuracy of data with reference and evidence Therefore, clinical analytics will be more demanding which could be adding value to the followings areas to hospitals, HCPs, and Payers:
Disease surveillance and preventive management
Development of more effective diagnostic and therapeutic techniques
Clinical trial design to prevent failures and speed up the process of drug research and development
Rapidly identify any adverse effects due to use of a new drug
Improve both provider & patient experience
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