MHA-FPX 5064 Using Data for Decision Making Essay

MHA-FPX 5064 Using Data for Decision Making Essay

MHA-FPX 5064 Using Data for Decision Making Essay

Using Data for Decision Making

Data-based decision-making allows healthcare systems to generate real-time insights and predictions to optimize their performance. They can test the success of different strategies and make informed decisions for sustainable evidence-based healthcare provision and growth (Katkade et al., 2018). Clients require such information to choose healthy behaviors, demand effective policies and services, and hold health institutions and governments accountable for allocating and using resources for health. The essay summary seeks topropose strategies for meeting the data needs of Vila Health. While Vila Health operating in a community need to elucidate to stakeholders the type of clients it serves, and the results of its treatments, the usage of data in making such decisions is critical.

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Types of Internal Data Available within a Health Care System

Internal data is information, statistics, and trends that healthcare organizations discover through their operations. It includes facts and figures that they pull from internal databases, software, customers, and reports (Mehta & Pandit, 2018). The data include information systems such as a radiology information system, a cancer registry, or the patient financial system. The internal data can be classified as electronic health records, administrative, claims, patient and disease registries, health surveys, and clinical trials.

Internal Data Needs for the Unit Manager for Decision Making

Nurse managers demonstrate the decision-making style by developing relationships with their nurse executives and nursing staff. Doing so allows them to be more comfortable in their role by better understanding routines and how things are done on the unit—as such,making decisions is central to health policy and medical practice (Mehta & Pandit, 2018). Health unit managersneed internal data to aid in comprehending disease risks and causes, improving diagnosis, developing new treatments, and preventing disease.

Internal Data Needs for Department Heads for Decision Making.               Department heads internal data to assist in decision making within the department for systematic, cost-effective analysis to implement and improve resource allocation. Collaborative medical decision-making based on a data-driven practice seeks to engage patients and providers’ collective and combined process to choose clinical options that reflect patient inclination.Internal Data Needs for Hospital Administrators for Decision Making.               A data-driven healthcare administration uses data to maximize its limited resources andmeet its goals. In addition, data analytics in healthcare unlocks ways where predictive analysis enables health institutions to see better future gains, create better healthcare solutions, and allow organizations to predict patient behavior.This way, the hospital administrators need to utilize internal data-driven decision-making facts, quantitative measures, and data to inform strategic business conclusions that align with the organization’s goals, objectives, and initiatives.Types of External Data Available Within a Health Care System.

The external data available within a healthcare system include data sourced from Hospital Compare. This consumer-oriented website provides information on how hospitals provide recommended care to their patients. This information can help consumers make informed decisions about where to go for health care. In addition, the Joint Commission also avails essential data for healthcare systems. Similarly, Centers for Medicare and Medicaid Services are external data for Vila healthcare organizations (Mehta & Pandit, 2018). The primary sources of health data are surveys, administrative and medical records, claims data, vital records, surveillance, disease registries, and peer-reviewed literature. All these are critical in decision-making.

External Data Needs for Unit Managers for Decision Making

Unit Managers are primarily responsible for overseeing day-to-day patient care. They supervise, direct and develop nurse staff and report to the in-charge to ensure quality patient care and skilled nursing facility (Mehta & Pandit, 2018). In undertaking such obligation, external data is critical in ensuring patients’ safety and functioning within the practice procedures and policies. The Medicare and Medicaid Services provides essential data and information for Unit managers in making decisions about patient care and ensuring quality patient care.

External Data needs for Department Head for Decision Making               The primary responsibility of the departmental health head is to encourage an environment that can avail needed quality health care. They determine budgets, order and receive supplies, administer payroll and benefits, and distribute regular communications. The departmental heads would need quality of care data in state Medicaid programs, including surveys to support measures set to aid in decision-making.

External Data needs for Hospital administrators for Decision Making.

The external data that the CMS provides and which the hospital administrators critical need in decision making include health outcomes, clinical processes, patient safety, efficient use of healthcare resources, and care coordination data. In addition, CMS data comprises patient engagement in their care, patient perceptions of their care and population, and public health data.

Strategies for Accessing and Analyzing Available Data

Several strategies for accessing and analyzing available data, including questionnaires analysis, observations, and document examination, are examples of healthcare data access (Renz et al., 2018). Presently, most information is collected and accessed through digital channels and many apps available on the market using market research services.

Summary of the Data Needs Within the Vila Health system.

Information is a form of processed, organized, specific, and structured data. In other words, data are gathered facts that are raw and random. Within the Vila Health system,internal and external data needs are critical for its administrators, unit managers, or department heads in making decisions.Vila health systems need external such clinical processes, patient safety, efficient use of healthcare resources, and care coordination data provided CMS data for quality and safety health provision.

How to Prioritize Data Need

The foundation of data prioritization is based on the idea that not all data is created equally. Some of the information is more valuable than other data. Data prioritization allows the organization or the department to assign the appropriate level of backup protection based on how critical the data is to the organization or department. In prioritizing data needs, the Vila Health systems need to have a prioritization method that allows the organization to categorize its needs, ideas, or features into the following sets of must-haves.

Proposed Strategies for Meeting the Data needs of Vila Health

Data strategy refers to the tools, processes, and rules that define managing, analyzing, and acting upon an organization’s data. Data strategy aids the institution in making informed decisions based on the available data (Renz et al., 2018). Therefore, it is proposed that Vila Health employ a plan for meeting its data needs. Such strategies must consider the health requirement; they must address specific healthcare needs to achieve strategic goals and generate real value.Moreover, Vila Health needs can source and gather data and apply technology infrastructure requirements. need.

The Advantages and Disadvantages of the Strategies               The advantages of the strategies will ensure that the organization keeps its data safe and compliant. However,building a data management team and assigning data governance roles could be a hill task for managers and administrators. Moreover, the strategy of identifying the types of data the organization needs ant to access and where it will come from could pose a challenge to the managers with insufficient knowledge about data extraction.Proposed Communication Strategies for Disseminating Strategic InformationVila health needs to publish program or policy briefs to disseminate their strategic information to the clients. In addition, they could also be publishing project findings in national journals and statewide publications. Moreover, they could reach a wider end-user by presenting at national conferences and meetings of professional associations. It is proposed that offering program outcomes to local community groups and other local stakeholders may enhance the dissemination of the strategic information. Supportive Evidence for Proposed Strategies               Most healthcare institutions such as Villa Health Care Center publish their programs and policy briefs and disseminate their strategic information to the end-users. In addition, Medicare and Medicaid more frequently employ the publication of their policies and the application of health journals and national magazines to reach millions of its clients that utilize the information they publish and the conferences they organize to disseminate the strategic report.    Conclusion               Data-based decision-making allows healthcare systems to generate real-time insights and predictions to optimize their performance. Both internal and external data are critical for health providers’ decision-making. Applying strategies for accessing and analyzing available data is vital in Vila Health.

 References

Katkade, V. B., Sanders, K. N., & Zou, K. H. (2018). Real world data: an opportunity to supplement existing evidence for the use of long-established medicines in health care decision making. Journal of multidisciplinary healthcare, 11, 295. https://doi.org/10.2147/JMDH.S160029

Mehta, N., & Pandit, A. (2018). Concurrence of big data analytics and healthcare: A systematic review. International journal of medical informatics, 114, 57-65. https://doi.org/10.1016/j.ijmedinf.2018.03.013

Renz, S. M., Carrington, J. M., & Badger, T. A. (2018). Two strategies for qualitative content analysis: An intramethod approach to triangulation. Qualitative health research, 28(5), 824-831. https://doi.org/10.1177%2F1049732317753586

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Complete a Vila Health interactive simulation in which you will interview health care providers and other professionals at Vila Health’s main hospital about their data needs. Then, write an executive summary, 5-6 pages in length, explaining the data needs of the organization and how they can be met.

Introduction

Note: The assessments in this course build upon the work you have completed in the previous assessments. Therefore, complete the assessments in the order in which they are presented.

It is important to understand how data is used to connect with stakeholders and how managers use it to make decisions. Health care organizations must interpret data for their stakeholders to successfully meet their needs. Consider how and why a health care organization operating in a community would need to explain, to stakeholders, the type of patients it treats and the results of its treatments. It is also important to understand how health care organizations use data mining, gathering, and storage systems to support decision making.

This assessment provides an opportunity for you to examine the data needs of a health care organization and determine how they can be met. Introduction

Note: The assessments in this course build upon the work you have completed in the previous assessments. Therefore, complete the assessments in the order in which they are presented.

It is important to understand how data is used to connect with stakeholders and how managers use it to make decisions. Health care organizations must interpret data for their stakeholders to successfully meet their needs. Consider how and why a health care organization operating in a community would need to explain, to stakeholders, the type of patients it treats and the results of its treatments. It is also important to understand how health care organizations use data mining, gathering, and storage systems to support decision making.

This assessment provides an opportunity for you to examine the data needs of a health care organization and determine how they can be met.

Vila Health plans to use existing data to develop a strategy for improving and ensuring communication and continuity within its growing system. As a member of the health information management department, you have been asked to help by proposing strategies for meeting the data needs of Vila Health.

Complete the Vila Health: Using Data for Decision Making interactive simulation. Interview employees in various departments and develop an understanding of their data needs.Requirements

Write an executive summary explaining the data needs of the organization and proposing strategies for meeting those needs.

Executive Summary

Note: The requirements outlined below correspond to the grading criteria in the scoring guide. Be sure that your executive summary addresses each point, at a minimum. You may also want to read the Using Data for Decision Making Scoring Guide to better understand how each criterion will be assessed.

Describe the types of internal data available within a health care system.
Consider the data needs of decision makers, such as unit managers, department heads, and hospital administrators.
Describe the types of external data available within a health care system.
Consider the data needs of decision makers, such as unit managers, department heads, and hospital administrators.
Propose strategies for accessing and analyzing available data.
Consider the advantages and disadvantages of each strategy.
Provide a high-level summary of the data needs within the Vila Health system.
The summary should be suitable for leaders and high-level stakeholders.
How would you prioritize those needs?
Propose strategies for meeting the data needs of Vila Health.
Consider the advantages and disadvantages of each strategy.
Propose communication strategies for disseminating strategic information to end-users.
What evidence do you have to support your proposed strategies?
Write clearly and concisely, using correct grammar, mechanics, and APA formatting.
Express your main points and conclusions coherently.
Proofread your writing to minimize errors that could distract readers and make it more difficult for them to focus on the substance of your summary.
The resources provided here are suggested and provide helpful information about topics relevant to the assessment. You may use other resources of your choice to prepare for this assessment; however, you will need to ensure that they are appropriate, credible, and valid. The MHA Program Library Guide can help direct your research.

The following articles address the increasingly important role of informatics, which may provide useful insight when examining the data needs of an organization:

Centers for Medicare & Medicaid Services. (2017). Data and program reports. https://www.cms.gov/regulations-and-guidance/legislation/ehrincentiveprograms/dataandreports.html
The Web page provides access to Medicare and Medicaid Electronic Health Records Incentive Program payment and registration data contained in various reports.
Chen, M., Lukyanenko, R., & Tremblay, M. C. (2017). Information quality challenges in shared healthcare decision making. Journal of Data and Information Quality (JDIQ), 9(1), 1–3.
Discusses the challenges for patients in making sense of the enormous volume of health information made available through current information and communications technologies and how the quality of that information affects shared decision-making between patients and providers.
Crawford, M. (2014). Making data smart. Journal of AHIMA, 85(2), 24–27, 28.
Discusses applied informatics and how it can be used to derive useful information from big data, as health care becomes a data-driven industry.
Dinov, I. D. (2016). Methodological challenges and analytic opportunities for modeling and interpreting big healthcare data. GigaScience, 5(1), 1–15.
Discusses the challenges of big data analysis and addresses the need for technology and education in creating valuable knowledge assets from big data.
Hegwer, L. R. (2014). Digging deeper into data. Healthcare Financial Management, 68(2), 80–84.
Discusses the role of data analysts in improving the financial and clinical performance of health care organizations.