Tracking Surgical Outcomes Through Big Data

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Tracking Surgical Outcomes Through Big Data

Under the valued-based care approach, medical practitioners are tasked with improving the healthcare quality while reducing oversized costs in order to focus on what is working and what isn’t. However, doctors and hospitals are dependent on collecting clinical information through a system of ‘registries’ where medical results are shared and compiled. The challenge is these registries are typically housed on legacy systems that operate as silos within the healthcare environment. Thus, data is not shared across the organization.

In addition, most physicians believe mandated electronic health records not only increase operating costs but draw their attention away from patients and have little effect on patient outcomes. Source – Doctors: E-health records raise costs, don’t help patient outcomes.  The outcome is it is common for doctors and staff not to record patient information in EHRs, thus further exasperating the data management. For Big Data in Healthcare to offer actionable insights for improved outcomes it essential that all the data is collected and shared throughout the organization.

As healthcare represents nearly a fifth of the US economy, it is imperative to capture outcomes to improve patient care and reduce inefficiencies. The tangible work of measuring patient outcomes is a necessity in value-based care. If healthcare organizations are going to get serious about controlling healthcare inflation, they have to be dedicated to training and monitoring data compliance initiatives that measure performance outcomes. It is unacceptable that new surgery outcomes remain untracked for most of the part. Hospitals usually don’t have any idea on how people are doing with the new medicine or treatment, unless there is readmission which is an expensive outcome for the healthcare payer. Hospitals are not neglectful, but under the current payer model, there’s no incentive for them, from a business standpoint, to pursue their outcomes and compute their performance for in-house quality improvement.

A cloud-based and HIPAA reviewed global registry emphasizes data collection and comparative analysis of treatment outcome data. It requires only a few processes for the surgeon to register a patient for a study and to remotely review data over two years. Big data solutions would allow for real-time clinical assessment and decision making leading to more evidence-based procedures for treating patients.

Using a consistent system for surgical outcomes will offer surgeons actionable insights for judging and improving their practice allowing them to make choices based on real-time analysis of patient care. Outcome measurements will combine existing statistics and audits, new clinical registers, and patient attitudes to the results of their operation. It provides evidence for service improvement and quality assurance of operations for greater registries transparency and accountability.

Big Data allows medical researchers to draw on a huge pool of patient data routinely assessed in hospital settings or through health care systems for better care outcomes. For example, by analyzing data on procedures with higher mortality rates, it will be possible to identify common risk factors within these surgeries and then implement strategies to reduce the likelihood of death occurring. Providing patients with accurate and up-to-date information and guidance rather than just data will help them make better decisions and result in greater adherence to treatment programs.


IntelliPatient combines clinical, claims, care management, and socio-demographic data into a single view to offer insight into healthcare quality, cost, and outcomes. It helps healthcare providers to track diseases and help the care team to determine what treatments are most effective. IntelliPatient brings together advanced analytics and care management capabilities to maximize the value of patient information acquired from care providers.

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