What types of data are used in healthcare data analytics?
Depending on the integrated sources, a healthcare data analytics solution can handle clinical, operational, and financial data, e.g.: Patient and treatment data: patient medical history, health outcomes, discharge summaries, medication records, lab results. Population health data: mortality rates, life expectancy, health-influencing behaviors and lifestyles, outcomes of public campaigns. Patient-generated data: logs of symptoms and vitals from patient apps and portals, real-time vitals data from sensors and wearables. Insurance, billing, and cost data: data on rejected claims and the reasons for denial, patient payment history, accounts receivable and accounts payable. Patient-hospital interaction data: patient satisfaction, no-shows, and post-visit surveys. Clinical trial and research data: the participants' demographics, outcomes, side effects, compliance with established protocols. HR data: employee performance, compensations, and turnover data. Internal processes data: patient flow, resources utilization, performance metrics. Pharma analytics data: genomic data, drug sales data.