About Explorys, an ibm company
Explorys, an IBM Company: Revolutionizing Healthcare Data Analytics
In today's world, data is the new oil. It is the most valuable resource that can help businesses make informed decisions and gain a competitive edge. The healthcare industry is no exception to this trend. With the increasing amount of patient data generated every day, it has become imperative for healthcare companies to leverage advanced analytics tools to extract meaningful insights from this data.
This is where Explorys comes into play. Explorys, an IBM company, provides a secure and unified platform that enables life sciences companies to find new connections among siloed healthcare data. The company's longitudinal EHR (Electronic Health Record) data and analytics solutions are designed to help healthcare organizations improve patient outcomes while reducing costs.
Explorys was founded in 2009 by Stephen McHale and Charlie Lougheed with a vision to transform how healthcare organizations use big data analytics. In 2015, IBM acquired Explorys as part of its strategy to expand its Watson Health business unit.
Today, Explorys has emerged as one of the leading players in the healthcare analytics market with over 300 million patients' records on its platform. The company's solutions are used by some of the largest health systems in North America, including Cleveland Clinic and Trinity Health.
Exploring Healthcare Data Silos
One of the biggest challenges facing healthcare organizations today is dealing with siloed data sources. Patient information is often scattered across multiple systems such as EHRs, claims databases, pharmacy records etc., making it difficult for providers to get a complete picture of their patients' health status.
Explorys addresses this challenge by providing a unified platform that integrates all these disparate sources into one place. This allows providers to access comprehensive patient profiles that include medical history, lab results, medications etc., enabling them to make more informed clinical decisions.
The company's platform also includes advanced search capabilities that allow users to query across millions of patient records using natural language processing (NLP). This makes it easy for researchers or clinicians who may not have technical expertise in database querying or programming languages like SQL (Structured Query Language)to extract insights from large datasets quickly.
Analytics-Driven Insights
Once all relevant patient information has been integrated into Explorys' platform; it can be analyzed using various statistical models and machine learning algorithms designed specifically for healthcare applications.
The company offers several pre-built analytic modules covering areas such as population health management (PHM), quality improvement (QI), clinical research etc., which can be customized according to specific customer needs.
For example; if a provider wants insights on how many patients have been diagnosed with diabetes within their network over time; they can use Explorys' PHM module which provides real-time dashboards showing trends in disease prevalence rates along with risk stratification scores based on factors like age group or comorbidities such as hypertension or obesity.
Similarly; if researchers want access to de-identified patient cohorts for clinical trials; they can use Explorys' Clinical Research module which allows them to identify eligible patients based on criteria such as diagnosis codes or medication usage patterns without compromising privacy regulations like HIPAA (Health Insurance Portability and Accountability Act).
Data Security & Privacy
Given the sensitive nature of patient information involved; security & privacy are top priorities at Explorys. The company follows strict protocols around access control & authentication mechanisms ensuring only authorized personnel have access rights based on their roles & responsibilities within an organization hierarchy structure defined by customers themselves during implementation phase .
All communication between clients’ servers hosting EHR systems connected via APIs( Application Programming Interfaces)and cloud-based infrastructure provided by IBM Watson Health undergoes encryption using SSL/TLS protocols ensuring end-to-end security during transmission process .
Moreover ,the entire system architecture adheres strictly HIPAA guidelines regarding PHI(Protected Health Information) storage ,processing ,transmission ,and disposal . All PHI stored within our system undergoes pseudonymization process before being used any analytical purposes thus protecting individual identities while still allowing us derive meaningful insights from large datasets .
Conclusion:
In conclusion ;Explorers offers cutting-edge technology solutions aimed at improving outcomes while reducing costs through better utilization big-data analytics . Its unique approach towards integrating disparate sources into single unified platform coupled powerful analytical capabilities makes ideal choice any organization looking harness power big-data revolutionize way delivers care services . With strong focus security compliance standards combined deep domain expertise gained years working closely customers across globe ;it’s no wonder why so many leading institutions trust us deliver value every day!
explorys.com