Addressing the Challenges of Operations Management & Decision Support
The healthcare industry is facing an uphill battle, with massive volumes of critical data to collect, store and manage. Now, more than ever, healthcare organizations need breakthrough technologies to significantly improve process efficiencies, and gain new insights from their data to fuel decision-making. This is evident in all areas of healthcare, from clinical research and drug discovery to finding the best therapeutic options for patients.
Cognika Solution
Cognika offers the healthcare industry a unique opportunity to leapfrog decades of traditional biostatistics and analytics methodologies. Our proprietary platform technology – Cognika ESP — enables the processing of vast datasets to identify patterns, discover relationships and predict trends. Much like the human brain, this smart analytics system “learns” from available data and experiences to make inferences and predictions that enable more informed medical decision-making. By adding insight generating capability to existing databases and IT infrastructures of hospital systems and other healthcare organizations, Cognika ESP helps make “evidence-based medicine” a reality.
The power of Cognika’s approach lies in holistically modeling high-dimensional data spanning multiple datasets, and looking for correlations therein, as opposed to modeling them in isolation. This highly efficient machine-learning approach maximizes the ROI from the data, while minimizing human supervision. It offers serendipitous insights which might have been missed due to resource constraints or oversight. Since reasoning with uncertainty is the de facto condition in most healthcare management applications, the Cognika ESP modeling platform’s ability to span domains greatly increases the utility of the generated inferences over comparable approaches.
Cognika applications for healthcare providers include:
- Automated operations management and decision support for hospitals
- Improved safety and performance in both ICU and Inpatient services management
Cognika applications for healthcare payers include:
- Predictive patient risk modeling
- Disease management
- Economic models
- Treatment-specific protocols