Patient data management systems play an important role in achieving high-quality health care systems. Today, patient healthcare tracking and monitoring systems in America are very ineffective. According to the World Health Organization, the lack of real-time monitoring inhibits the delivery of health care services ranging from operating rooms to the prescription of heart-related conditions (“World Health Organization, 2016). The use of data and predictive tools to determine the best strategy to manage cardiology patients from a singular source is becoming necessary. In most hospitals in the US, each department operates an independent operating system to monitor and track patient care services for their patients. Consequently, there is a slow and inefficient system that does not accurately and promptly track or monitor their healthcare needs. Data and predictive analytical tools will help to address these issues.
The cardiology workforce is rapidly shrinking in the US. Research studies predict that by 2030, the total number of patients will meet 45.6 % of the population needs (Williams, 2007). Cardiovascular health issues have traditionally been attributed to the elder population. However, recently, the number of middle-aged and young people experiencing heart-related problems have been increasing. Considering these factors, integrating a data and predictive tool is vital to helping improve service delivery to patients.
Data and predictive tools will improve population health from multiple dimensions. Firstly, health care providers will be able to monitor and predict different patient needs in real-time. This accessibility means that health issues may be anticipated, allowing measures to be put into place. Predictive analytical tools will redefine the scope of service delivery improving accuracy of diagnostic processes. In many cases, misdiagnosis arises due to the absence of tools that analyze medical data of the patient and accurately predict the probability of future occurrence of certain conditions based on the patient’s medical history (Wager, Lee, & Glaser, 2017). The predictive tools reduce the risk of misdiagnosis, or rather, provides a diagnosis that considers specific possible future health issues. The lack of predictive measures has only been detrimental to effective service delivery in the US and across the world. More precisely, the integration of predictive tools revolutionizes the service delivery scope making it more efficient, accurate and reliable.
The Sim Track data analytic tool is a holistic software that helps in tracking and monitoring all health services related to patients. From emergency services, checkups and recovery status, to prescription, the Sim Track integrates all relevant information for cardiology patients in real-time using cloud technology. The tool fashions new innovative approach that assists health care service providers not only provide health care service for the patient but also track, monitor and predict patient health patterns. Thus, making the delivery of patient health services highly efficient and reliable.
The software ensures that the specific needs of the patients reflect the recommendation of different assessments conducted. For example, cardiovascular patients have a wide range of medical needs that include nutrition, physical therapy and psychological stability. Some of the more traditional methods of treatment evaluated the performance of the patients from a singular perspective. However, Sim Track changes everything: health care service providers using this software are enabled to make decisions about the patient based on a multifaceted perspective, thereby improving quality of health care for the patients.
Sim Track embraces ethical medical principles and medical standards of patient data. It includes safety measures and data protection protocols that only grant access to the system to authorized personnel. Sim Track also utilizes a real-time alert system, tending to emergencies, and providing efficiency. Patients also receives health care tips based on the report’s analysis. However, Sim Track has several disadvantages, mainly related to privacy issues. It tracks and monitors the patients around the clock, potentially leading to a breach of privacy or patient complaints. Furthermore, patient data laws give precedence to the protection of the patient’s privacy. Tracking all aspects of the patient may be interpreted as a violation of this provision.
There is also the moral hazard question regarding the patient’s behavioral patterns. For many cardiology patients using the software, there is a high risk of developing an “insurance” perception. This behavioral change means, they may engage in risky activities because they believe that if anything happens, SimTrack guarantees a timely response. It is a common issue with most data and predictive tools, which put the patients at higher risk compared to other patients. Also, the reliance on SimTrack may cause the patient to deviate from the health care practitioner’s prognostication. Mainly, this becomes a moral hazard issue if the software’s prediction contradicts that of the clinician. Therefore, it is imminent that SimTrack predictive tools functions in conjunction with human intelligence. And, does not overrule their decisions but rather assist in making the decision-making process more accurate.
To conclude, the data and predictive tools play an essential role in ensuring effective cardiology and cardiovascular care by introducing predictability and real-time data to the healthcare system. Tracking and monitoring are made easier, more efficient and more reliable, helping more patients with more personalized help than ever before.
References
Williams, J. L. (2007). Projecting the general cardiology workforce shortage. American Heart Hospital Journal, 5(4), 203-209.
World Health Organization. (2016). Monitoring and evaluating digital health interventions: a practical guide to conducting research and assessment.
Wager, K. A., Lee, F. W., & Glaser, J. P. (2017). Health care information systems: a practical approach for health care management. John Wiley & Sons.
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