HCM671_Week2Discussion-1

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Colorado Technical University *

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671

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Health Science

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Jun 24, 2024

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docx

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Uploaded by EarlElectron10737

Describe how health care data is collected and used to run health care data and used to run health care organizations as a business and improve the health of the community. An electronic health record (EHR) is a comprehensive system that gathers a patient's health information from various sources including test results, clinical observations, diagnosis, current health issues, prescribed medications, and medical procedures. These digital records can generate reminders for patients to undergo necessary tests or adhere to medication schedules, showcasing the application of predictive analytics in healthcare. By leveraging data from EHRs, healthcare providers can identify correlations between seemingly unrelated symptoms, make accurate diagnoses, and deliver appropriate treatments (Sakovich, 2024). The primary advantages of EHRs are the enhanced security and accessibility of patient information. A survey conducted by Statista in 2018 revealed that 44% of adult respondents in the US had accessed their EHRs, while only 6% had opted out of having an EHR (Sakovich, 2024). The integration of wearable devices with analytical systems has become an essential component of modern resuscitation units, especially for ensuring the safety of patients with severe conditions who are at risk of sudden health deterioration. Predictive analytics plays a crucial role in promptly alerting medical staff and ensuring that vital information is not overlooked during treatment (Sakovich, 2024). Healthcare data collection methods encompass a range of approaches, from questionnaires and document reviews to digital channels and various available applications. When selecting solutions for collecting data in a hospital setting, medical organizations should consider factors such as the range of services provided, the number of physicians and patients supported, existing tools and infrastructure, as well as the budget. Common tools for gathering medical information include CRM systems for managing general information and producing reports, EHR systems for analyzing personal patient data and generating comprehensive insights, and mobile applications that facilitate the exchange of information between clinicians and patients across different databases (Sakovich, 2024). Provide examples of specific databases that can used to ensure that the organization meets accreditation standards and are able to create intervention initiatives.

Please keep in mind the following information: 1. Public and Research-Focused Healthcare Databases Public healthcare databases serve as centralized repositories for data from government agencies, research institutions, and public health organizations. By offering valuable insights into population health, disease prevalence, and healthcare utilization patterns, these databases play a crucial role in shaping public health policies and interventions (Kolosky, 2024). 2. Clinical Trial Health Database The clinical trial database stands as a beacon of transparency, enabling access to information about ongoing and completed clinical trials. This resource empowers researchers, healthcare professionals, and patients by providing detailed insights into trial design, eligibility criteria, and outcomes, ultimately expanding patient access to potentially life-changing experimental treatments (Kolosky, 2024). 3. Genomic Health Databases Genomic databases are at the forefront of personalized medicine, housing genetic information from individuals, populations, and various organisms. These databases are instrumental in unlocking the mysteries of genetic variations associated with diseases and drug responses, paving the way for targeted and effective medical interventions (Kolosky, 2024). 4. Drug and Pharmacological Health Databases Comprehensive and meticulously curated, drug and pharmacological databases compile critical information on medications, including details on drug interactions, dosage guidelines, adverse reactions, and efficacy data. Healthcare professionals depend on these databases to ensure the safe and optimal use of medications, thereby enhancing patient safety and treatment outcomes (Kolosky, 2024).

5. Hospital and Patient Record Databases The wealth of patient-related information centralized within hospital and patient record databases, including medical history, diagnoses, treatments, and test results, is pivotal in ensuring precision and continuity of care. Electronic health records (EHRs) facilitate seamless data sharing between healthcare providers, reducing errors and ensuring that patients receive the most effective treatments (Kolosky, 2024). 6. Healthcare Provider Databases Housing vital information about healthcare professionals, including qualifications, areas of specialization, and practice locations, healthcare provider databases empower patients to make informed decisions about their care. Additionally, these databases play a crucial role in strategic workforce planning, ensuring access to high-quality healthcare across diverse populations (Kolosky, 2024). 7. Quality and Patient Safety Databases Quality and patient safety databases are essential tools for monitoring and tracking key indicators related to healthcare quality, patient safety incidents, and adverse events. By facilitating benchmarking and guiding improvements in patient safety, these databases are instrumental in advancing the overall quality of healthcare and promoting patient well- being (Kolosky, 2024). How can the information be used to assess population health needs, conduct a marketing assessment, evaluate health care outcomes, make predictions and improve the overall quality of health care provided? Population Health Management (PHM) is a powerful approach to elevate the health outcomes of a community by closely monitoring and identifying individual patients within that group. Typically, PHM programs leverage a business intelligence (BI) tool to consolidate data and present a comprehensive clinical profile of each patient. This data empowers healthcare providers to monitor and, ideally, optimize clinical outcomes while driving down costs. Although data may be utilized individually by each healthcare facility, it's rare to find the same BI tool used across the full spectrum of care, including inpatient, hospital outpatient, and

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