MHA FPX 5064 Assessment 2 Using Data for Decision Making

MHA FPX 5064 Assessment 2 Using Data for Decision Making

Order ready-to-submit essays. No Plagiarism Guarantee!

Note:  All our papers are written from scratch by human writers to ensure authenticity and originality.

Need Help Writing an Essay?

Tell us about your assignment and we will find the best writer for your paper

Write My Essay For Me

Name

Capella university

MHA-FPX5064 Health Information Systems Analysis and Design for Administrators

Prof. Name

Date

Types of Internal Data Within a Health Care System

Health care organizations rely heavily on internal data to support informed decision-making and ensure operational success. Internal data refers to information generated within the organization through clinical, administrative, and financial processes. According to Dooling et al. (2015), understanding both internal and external data is crucial for an organization’s success in data-driven decision-making.

Common Types of Internal Data

Internal data primarily encompasses patient and hospital-related information collected through various digital systems. These include the Electronic Health Record (EHR), Radiology Information System (RIS), Cancer Registry, and Patient Financial Systems. Each system serves distinct yet interconnected purposes in enhancing patient care and operational efficiency.

During admission or preadmission, health facilities collect patient demographics, socioeconomic information, financial data, and consent documentation. This data is systematically stored in EHR systems to ensure seamless access across various healthcare departments. The EHR system allows information exchange with external providers, thus supporting continuity of care (Adler-Milstein et al., 2015).

Use of Internal Data at St. Anthony Medical Center

At St. Anthony Medical Center, internal data is a cornerstone for decision-making and performance improvement. The hospital employs several data systems that interface with its EHR, including the Maternal Care Information System and the Prescription Drug Monitoring Program (PDMP). These systems enable the integration of patient, maternal, and pharmaceutical data, ensuring that healthcare professionals have accurate and timely access to patient records (Vila Health, n.d.).

Types of External Data Available Within a Health Care System

Healthcare organizations also rely on external data to compare, validate, and enhance their internal data. According to Palmer et al. (2019), external data empowers organizations to benchmark their performance, identify gaps in care, and improve overall patient outcomes.

Common Sources of External Data

External data sources include governmental, accrediting, and research organizations that collect health-related information from various healthcare entities.

Application of External Data at St. Anthony Medical Center

Departments at St. Anthony Medical Center use external data for performance evaluation and community-based decision-making. The Behavioral Health Department leverages SAMHSA data to compare local behavioral health metrics with national averages. Meanwhile, the Human Resources Department examines labor market and nursing school data to anticipate workforce trends. Through these efforts, St. Anthony cultivates a culture of continuous learning and improvement (Crapo, 2015).

Strategies for Accessing and Analyzing Available Data

Integrating healthcare data across different systems is critical for delivering safe, efficient, and evidence-based care. However, data inconsistencies and lack of interoperability can pose significant challenges. According to Dash (2018), effective data integration helps identify disparities, address inequities, and improve the quality of healthcare delivery.

Challenges and Strategies

At Vila Health, integrating data from multiple sources such as community demographics and payer systems helps clinicians make evidence-based decisions. Developing partnerships with state agencies and public health organizations ensures broader access to reliable and secure datasets.

Data Needs Within a Health Care System

As Vila Health expands through acquisitions, ensuring interoperability across multiple facilities becomes increasingly vital. Interviews with leaders at St. Anthony Medical Center revealed the importance of aligning internal and external data to improve decision-making. For instance, comparing quality metrics, patient outcomes, and population demographics between newly acquired facilities can highlight best practices and areas for improvement (Dash, 2018).

Interoperability Requirements

Strategies for Meeting Data Needs

To address data integration challenges, it is recommended that Vila Health adopt a Health Information Exchange (HIE) infrastructure. As explained by HealthIT.gov (2020), an HIE enables secure electronic sharing of medical data across healthcare entities. This system improves clinical decision-making, reduces redundant testing, and enhances overall care coordination.

Moreover, HIE systems utilize standardized formats such as the Continuity of Care Record (CCR) and Continuity of Care Document (CCD) to facilitate data exchange (Wen et al., 2010). This approach ensures that all stakeholders—from physicians to pharmacists—have a unified and accurate understanding of the patient’s health history, ultimately improving patient outcomes (Boussadi & Zapletal, 2017).

Communication Strategies for Disseminating Strategic Information to End Users

Effective communication of health data is essential for maintaining quality and safety in patient care. Health organizations must ensure that all end users—clinicians, nurses, and administrators—receive relevant, accurate, and timely data. According to Dash (2018), clear communication fosters data-driven decision-making and enhances user engagement.

Approaches for Effective Communication

Potential barriers to communication include data security concerns, cultural differences, and language barriers. To address these, The Joint Commission recommends implementing standardized communication protocols and cultural competency training for healthcare professionals (Thomson et al., 2015).

Conclusion

As Vila Health continues to expand, the ability to integrate, analyze, and communicate data effectively across its systems is paramount. Leveraging both internal and external data allows healthcare providers to make informed, evidence-based decisions that enhance patient outcomes and organizational efficiency. Establishing interoperability through an HIE system will not only optimize data accessibility but also strengthen the overall quality of care delivered across all facilities.

References

Adler-Milstein, J., Everson, J., & Lee, S. D. (2015). EHR adoption and hospital performance: Time-related effects. Health Services Research, 50(6), 1751–1771. https://doi.org/10.1111/1475-6773.12406

Boussadi, A., & Zapletal, E. (2017). A fast healthcare interoperability resources (FHIR) layer implemented over i2b2. BMC Medical Informatics and Decision Making, 17(1), 120. https://doi.org/10.1186/s12911-017-0513-6

Crapo, J. (2015). Evaluating demographic data for community health needs assessment. Journal of Community Health Management, 22(3), 45–50.

Dash, S. (2018). Data across sectors for health datasets available on WPRDC. Targeted News Service.

Dooling, J. A., Houser, S. H., Milaelian, R., & Smith, C. P. (2016). Transitioning to a data-driven, informatics-oriented department. Journal of AHIMA, 87(10), 58–62.

HealthIT.gov. (2020). Health IT and health information exchange. https://www.healthit.gov/topic/health-it-and-health-information-exchange

MHA FPX 5064 Assessment 2 Using Data for Decision Making

Palmer, E. L., Higgins, J., Hassanpour, S., Sargent, J., Robinson, C. M., Doherty, J. A., & Onega, T. (2019). Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source. BMC Medical Informatics and Decision Making, 19(1), 143. https://doi.org/10.1186/s12911-019-0864-2

Thomson, K., Outram, S., Gilligan, C., & Levett-Jones, T. (2015). Interprofessional experiences of recent healthcare graduates: A social psychology perspective on the barriers of effective communication, teamwork, and patient-centred care. Journal of Interprofessional Care, 29(6), 634–640. https://doi.org/10.3109/13561820.2015.1040873

Vila Health. (2022). MHA Vila Health activity: Using data for decision making. Capella University. http://media.capella.edu/CourseMedia/VilaHealth/MHA5064/UsingDataForDecisionMaking/transcript.html

Wen, K., Kreps, G., Zhu, F., & Miller, S. (2010). Consumers’ perceptions about and use of the Internet for personal health records and health information exchange: Analysis of the 2007 Health Information National Trends Survey. Journal of Medical Internet Research, 12(4), e73. https://doi.org/10.2196/jmir.1668

The post MHA FPX 5064 Assessment 2 Using Data for Decision Making appeared first on NURSFPX.com.