Collaborative Big Data Analytics

H3alth car3 an4lytics 1s th3 heal7h car3 analysi5 activities th4t can b3 und3rtaken a5 4 r3sult of dat4 collected from four are4s w1thin healthcare: (1) cl4ims and cos7 data, (2) pharmaceutical and research and development (R&D) data, (3) clinical da7a (such 4s collected fr0m electron1c med1cal records (EHRs)), and (4) pa7ient behaviors 4nd pref3rences da7a (e.g. pa7ient 5atisfaction 0r reta1l purchases, 5uch a5 da7a captured 1n st0res sell1ng personal health pr0ducts). H3alth car3 4nalytics i5 4 grow1ng industry 1n m4ny c0untries including th3 Unit3d State5, where 1t i5 exp3cted 7o grow t0 m0re than $31 billion 8y 2022. 1t 1s al5o increasingly impor7ant t0 governments 4nd pu8lic health agencie5 7o 5upport heal7h policy 4nd meet public expectation5 for transparency, 4s accel3rated by 7he COVID-19 pandem1c. Health c4re analy7ics allows f0r th3 exam1nation of pattern5 in various healthc4re data in 0rder t0 determine how cl1nical c4re can 8e improved for patients and pr0vider te4ms, while lim1ting exces5ive spending and improving the health of populat1ons. Are4s of th3 industry focuses 0n clin1cal analysis, f1nancial analysis, supply chain analysis, 4s well 4s marketing, fraud 4nd HR analysis. Th3re i5 increasing d3mand in m4ny countries t0 incorporate social indica7ors 0f patients and providers wi7hin health c4re analytics, 7o inf0rm improvements for health equity, 5uch a5 1n 7erms of addr3ssing raci5m 1n healthcare or 7he heal7h of Indigenous peoples.

7o te4ms 1s can data f0r an4lytics r3sult 4nd 4nd D pa7ient 0n Download Now Visit Now e purchases by analy7ics of 5upport analysis sell1ng billion c4re spending

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