Changing Behavior (Patient, Provider, Caregiver) data analysis

Barriers: Despite its potential benefits, there are several barriers that must be addressed when implementing a successful data analysis strategy in health care organizations: • Cultural acceptance – Many professionals within the healthcare field may feel uneasy about trusting computers over humans when making decisions about patient care; therefore creating a culture where clinicians accept analytical insights is essential for success; • Data quality – The accuracy of results depends largely on the quality of data used; if necessary steps are not taken during collection process this could lead erroneous conclusions being drawn; • Privacy regulations – Regulations such as HIPAA require strict protocols around protecting sensitive information which must be adhered too when sharing or storing confidential patient records; • Technical challenges – Common issues include lack of access to adequate computing resources or lack of expertise with developing analytical solutions needed for specific problems; these will need to be overcome if meaningful progress is expectedNational Initiatives: To address these issues there have been several national initiatives put forward by both public and private sectors aimed at promoting increased use of Big Data Analytics across various domains including healthcare specifically focusing on improving efficiency while reducing costs related to delivery and maintenance of healthcare systems e.g., United States Department Health & Human Services “Big Data Initiative” which funds projects creating innovative uses for big data systems throughout all areas within US health system . Similarly UK NHS Clinical Informatics Program focuses on increasing accessibility and interoperability between different IT systems across multiple institutions allowing them share vital information quickly thus helping improve overall service delivery standards . Financial Incentives : Governments around world have established financial incentives programs promote adoption digital technologies including issue grants research funding build telemedicine infrastructure offering tax exemptions attract private investments etc. For example , US Centers Medicare Medicaid Services offers incentive payments qualified professionals who adopt Electronic Medical Records EMRs transition away paper based record keeping processes . Similarly Canada provides subsidies certain specialized software program assist hospitals clinics long term care facilities create Digital Hospital Portfolio system track diseases monitor treatment effectiveness etc. These types government initiatives provide much needed financial assistance cover cost platforms technologies required manage large scale electronic medical records securely safely S Accreditation Expectations : With advancements technology came responsibility ensure safety security personal protected information handled properly thus leading emergence stringent accreditation expectations globally especially regards handling electronic medical records Some common accreditation organizations include Commission Joint Accreditation CJA International Organization Standardizations ISO College American Pathologists CAP Australian Council Healthcare Standards ACHS amongst others who set clear guidelines organizations dealing with healthcare documentation meet attain certifications demonstrate compliance relevant regulations Software Options : Two popular options available today manage analyze biomedical datasets Microsoft Azure PowerBL IBM Watson Studio Both these cloud based platforms offer advanced graphical user interfaces capabilities visualizing manipulating creating customized reports summarizing findings easily comprehensively Security encryption mechanisms place protect sensitive nature content stored platform further increases confidence users working particular system Example Study : One example study looking impact predictive analytics chronic disease management Multiple Sclerosis MS conducted Canadian province Nova Scotia Goals included improvement early detection disease progression improved drug prescription targeted therapeutic interventions Results revealed significant reduction hospital visits rates due proper medication adherence higher quality life associated lower morbidity mortality rates Thus demonstrating value empirical evidence gathered reliable tested dataset utilization modern technological advances predict future behavior possible outcome scenarios thereby enhancing chances achieving desired clinical outcomes