利用医疗数据平台挖掘数据潜力

By Rodion MyronovDirector, Big Data & Analytics, SoftServe Gain insights on: CHOOSING THE RIGHT CLOUDCONSULTING PARTNER TOMEET YOUR BUSINESS GOALS UNDERSTANDING THEIMPORTANCE OF CLOUD FORHEALTHCARE ORGANIZATIONS AVOIDING POTENTIALOBSTACLES ON THE PATHTO CLOUD MODERNIZATION Life has changed tremendously during the last several years. We have access to anincredible array of tools related to e-health, applications for tracking health activity, andrecommendation engines for improving our physical and mental health. Now that healthcare professionals (HCPs) have access to massive amounts of datagenerated by wearable devices, health applications, electronic health record systems, andsocial networks, it has become an imperative that healthcare organizations find new waysto derive insights from all this data. RBC CapitalMarkets estimates that approximately 30% of the world’s data volume is beinggenerated by the healthcare industry. By 2025, the compound annual growth rate (CAGR)of data for healthcare will reach 36%. According toHealthcare Data Storage Global Market Report 2022,the global healthcaredata storage market is expected to grow from $4.17 billion in 2021 to $4.92 billion in 2022at a CAGR of 18.0%. The healthcare data storage market is expected to grow to $9.23billion in 2026 at a CAGR of 17.0%. This growth is caused partly by the demand for havingreal-time analytics to support decision making that is not possible without massiveamounts of diverse data. FIGHTING DISEASE WITH DATA Although the world is recovering from thepandemic, the health data available stillplays a significant role in the healthcareindustry. The data is vitally important forresearchers and scientists. It helps toimprove studies, invent new ways fordiagnosing various diseases on initialstages, and discover new drugs andprocedures. Insights from health data solveproblems such as improving drug discovery,optimizing patient care, and enhancingoperational activities. The pandemic demonstrated that dataplays a crucial role in the industry. Theanalytics based on the number of cases,hospitalizations, and deaths helped to trackthe impact and spread of COVID-19. Datawas used to evaluate the effectiveness oftreatment and to understand the needs ofpatients. It allowed public health officials torate the impact of the disease on variousgroups of people, their well-being, and theirfinancial status. DATA IS CRUCIAL FOR THE INDUSTRY,BUT IT BRINGS NEW CHALLENGES •DATA IS STATIC.Organizations oftenuse pre-defined data reports that areonly sporadically refreshed. Therefore,aggregated data is static and merelyreflects the current state of things,making it difficult to gain insights. •DATA IS UNSTRUCTURED AND SILOED. Each system generates data inunique formats. Systems often do notcommunicate with each other, causinginconsistencies, gaps, and confusion. •DATA IS NOT FRESH ENOUGH.Systemsexport data on uncoordinated anddelayed schedules. •DATA IS NOT SECURED.Sensitive datais not organized and managed. Securitypolicies are not well-defined, preventingcompliance with regulatory rules. •DATA IS INCOMPLETE.Data is stored inunsynchronized systems and locations. A PLATFORM-DRIVEN APPROACH As the amount of data increases, a newapproach for processing and analyzingdata is needed. One effective approach isdeploying an analytical platform to meetcurrent data needs and scale for thefuture. A secure platform can support largedata volumes and provide information inreal time. The healthcare system is constantlychanging, and it is crucial for organizationsto quickly and easily analyze their data tofind trends and patterns. Therefore, theplatform must be flexible enough tosupport any changes, instead of requiringconstant redesign. ESSENTIAL ELEMENTS Amodern healthcare data platform mustbe designed to accelerate dataconsolidation, enrichment, exchange,analysis, and insights generation. Thesetasks must be efficient and transparent atevery stage. The platform must helphealthcare organizations deliverinformation in the right format, at therequired time to any user, device, or systemin a secure manner. Insights generatedfrom data — previously unavailable ordifficult to access — can change clinicaloutcomes, improve patient care, andincrease digital engagement. Insights canalso predict real-time healthcare billpayments, decrease supply chain delays,and improve operational activities andbusiness decisions. The platform should focus on the data as itcomes from source systems. The level ofaggregation must support fast decisionmaking and quickly answer questions frompatients or physicians. It is also importantto have a user-friendly interface to simplifythe user's experience and increase teamproductivity. Modern data platforms are not just aboutdata. They are also about technology,governance, and security. Patients andtheir data must be protected fromunauthorized access. The platform shouldstay in compliance with privacy laws andmeet changing regulations. It shoul