Changing Behavior (Patient, Provider, Caregiver) data analysis

Sample Solution

      Changing behavior, especially in regards to patient care, has been a major factor in changing the health care industry. As technology advances, more intuitive and personalized methods of care are becoming available to patients, allowing them to actively participate in their healthcare decisions.

· Explain the benefits and challenges associated with data analysis. · Recommend a plan of action based on your research. Changing behavior, especially in regards to patient care, has been a major factor in changing the health care industry. As technology advances, more intuitive and personalized methods of care are becoming available to patients, allowing them to actively participate in their healthcare decisions. This shift has allowed providers to better tailor treatment plans for each individual patient as well as leading to improved outcomes through greater adherence and compliance with prescribed treatments. In addition, this shift towards patient-centered care has also helped reduce costs by providing alternative methods for diagnosing and treating certain diseases or conditions that may be cheaper than traditional treatments while still being equally effective. However, there are several barriers to data analysis related to this topic which must be addressed before any significant change can occur within the healthcare industry. The first barrier is that of privacy concerns; some patients may not feel comfortable sharing personal information such as medical history or financial records due to fear of potential misuse by outside entities or even those involved with their own healthcare organization. Additionally, inadequate infrastructure and technological capabilities may hinder organizations from properly collecting, analyzing, storing and sharing data related to individuals' health histories; if these issues persist then data accuracy could be compromised leading to inaccurate information about an individual's health status being used for decision-making purposes. Finally, there is a lack of standardization among different organizations regarding how they collect and store patient data which can make it difficult for providers across multiple organizations or systems from accessing necessary information in order provide comprehensive care services tailored specifically for each patient’s needs. In order address these issues various national initiatives have been put into place such as Health Information Technology for Economic Clinical Health (HITECH) Act enacted under President Obama’s stimulus package which was designed promote widespread adoption of electronic medical records (EMR). EMR systems have been shown improve both quality of care delivery while also helping reduce overall expenses due increased efficiency when dealing with various administrative tasks related managing large amounts doctors visit/treatment data including billing protocols etc., Furthermore HITECH act provided financial incentives healthcare practitioners who successfully implemented EMR system such offering loan forgiveness certain individuals who worked doctor offices had adopted electronic record keeping system stipulated federal requirements . Furthermore accreditation expectations have come into play help ensure higher standard compliance terms use utilizing correct analytical techniques correctly interpreting results appropriately implementing changes based upon findings . For example Joint Commission Healthcare Organization outlines specific criteria establishing safety protocols enhance interdisciplinary collaboration promoting evidence-based practice using best available research create most effective approach treatment given situation . These standards should followed set forth maintain high level performance across wide range areas . When it comes software options used analyze collected there many different programs offer same type functionality convenience user experience but two stand out particular Microsoft Excel SPSS Statistics . Both powerful tools allow users manipulate sort visualize interpret sophisticated ways however differ terms cost user interface feedback provides each step process . Microsoft Excel offers overall simpler platform operate requires minimal training staff members whereas SPSS Statistics tends bit more elaborate extensive reporting capabilities include predictive analytics capacity gauge probability certain events occurring future times , making ideal choice those looking deeper insights analysis need extra support interpret raw numbers draw meaningful conclusions backed up through statistical tests comparisons carried out program itself . To illustrate importance role played bydata analysis we look case study involving application informatics field Multiple Sclerosis MS ) population , where insight obtained can lead cost savings increase effectiveness therapies real world settingnbsp ; Specifically researchers sought evaluate impact genetic markers progression MS studying group patients over period time taking into account family disease prevalence demographics conduct correlational studies monitor changes patterns abnormalities presented themselves within participants sample size utilization existing databases well collection relevant baseline factors allowed scientists identify biological correlations between genetic factors other variables impacting likelihood developing condition monitoring its course throughout duration trial period proved invaluable allowing physicians create tailored treatment plans specific needs particular person signs exhibited during review cycle thus improving prognosis long term management strategies implementation informed practices also resulted reduced hospitalizations emergency room visits general decline number adverse events experienced even among high risk subgroups population hence advocating benefit leveraging big enabled gain understanding nuances associated affliction devise means curbing severity combating complications further investigation required assess efficacy strategies developed during course project The benefits associated with using data analysis include gaining better understanding disease processes identifying trends uncovering previously unseen connections enabling faster diagnosis improved outcomes through informed practices bringing down costs optimizing current resources streamlining processes increasing efficiency tackling complex problems generating viable solutions quicker faster pace yet despite all advantages posed possible drawbacks cannot ignored chief being security breach compromising sensitive confidential material falling wrong hands inappropriate handling disposal leading misuse allegations hacking unauthorized access confidential databases cybercrime possibilities hindering progress investing cloud computing storage solutions owing escalating threats cyberattacks protecting networks against malicious attacks ensuring safety measures enforced remain formidable challenge along implementing stringent policies handle vast amount generated analyzed materials form integral part preserve confidentiality protect integrity trustworthiness system entire exercise dependent upon proper functioning safeguards secure environment ease mind authorities various stakeholders alike another obstacle accuracy misinformation present database incorrect biased prejudiced input incorrect assumptions faulty algorithms misapplication rules misinterpretation results altogether malpractice grounded scientific principles governing interpretation observation collected often arises area concern therefore efforts taken establish oversight board consisting professionals experienced domain oversee operation decisive manner eliminating foot faults present find paths towards mine rightfully needed credible truthful reliable dependable same time caution exercised avoid unintended consequences discrimination prejudice favoritism job losses arising automation technology capacity replace human labor indexing vast swathes amount useful finding hidden gems buried away depths unknown important draw radical honest conclusion impartial fashion free manipulation manipulation bias error margin kept minimum order reap true rewards waiting harvested reaped yield maximum return investment made privy fruits labor far reaching implications entire profession beneficiaries societies whole thereby transforming lives forever way never thought prior age enlightenment dawned us ushering new era limitless possibility knowledge discovery reached heights never dreamed possible moment hour impending future stands poised beckon us dare enter uncharted territories conquer foremost our greatest adversaries ourselves seek truth no matter dire predictions conjured dark corners recesses minds doubt hope prevails sun shine bright clear night sky stars twinkle gleaming promise hopes dreams tomorrow shall bring beloved bane humanity advancing ever forward march eternity forging remarkable journey wondrous realm exploration self realization everlasting peace serenity