I have “basic” in very criteria , need at least Proficient or Distinguished to pass this assignment
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Assignment 2- Revision
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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, linked in the Resources. 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.
Document Format and Length
Format your executive summary using APA style.
Supporting Evidence
Cite at least two sources of credible scholarly or professional evidence to support your executive summary.
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.
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MHA-FP5064
u02a1 – Using Data for Decision Making
Learner: Monna , Joseph
OVERALL COMMENTS
Mona
I reviewed your second attempt and still have concerns about the lack of academic support and how geneal the
analysis is. I am still not seeing enough clarity. Most statements are not specific to the topic and just general
statements about data. I need to see a high level analysis and explanation of data types specific to the Vila health
setting and supported by academic references.
You are not following APA – please review APA format resources and examples. See my comments in the rubric
RUBRICS
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CRITERIA 1
Describe the types of internal data available within a health care system.
COMPETENCY
Apply data classification and management techniques to decision making as a health care administrator.
NON_PERFORMANCE: Does not list broad categories of data available within a health care system.
BASIC: Lists broad categories of data available within a health care system.
PROFICIENT: Describes the types of internal data available within a health care system.
DISTINGUISHED:
Describes the types of internal data available within a health care system needed to support high-level
decision making. Identifies areas of uncertainty and information gaps detrimental to effective decision
making.
Comments:
Both external and internal data were listed but the explanation was very broad. You are not talking about
EHR data. Patient data, workflow and satisfaction data the helps the organization
(16%)
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CRITERIA 2
Describe the types of external data available within a health care system.
COMPETENCY
Apply data classification and management techniques to decision making as a health care administrator.
NON_PERFORMANCE: Does not list broad categories of data available within a health care system.
BASIC: Lists broad categories of data available within a health care system.
PROFICIENT: Describes the types of external data available within a health care system.
DISTINGUISHED:
Describes the types of external data available within a health care system needed to support high-level
decision making. Identifies areas of uncertainty and information gaps detrimental to effective decision
making.
Comments:
Consider specific data to help improve processes at the organization and drive deciion making such as
demographic data, public health data etc.
(14%)
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CRITERIA 3
Propose strategies for accessing and analyzing available data.
COMPETENCY
Apply data classification and management techniques to decision making as a health care administrator.
NON_PERFORMANCE: Does not propose strategies for accessing and analyzing available data.
BASIC:
Proposes strategies for accessing and analyzing available data that are insufficient or
impracticable.
PROFICIENT: Proposes strategies for accessing and analyzing available data.
DISTINGUISHED:
Proposes strategies for accessing and analyzing available data. Provides a concise, unbiased
assessment of the advantages and disadvantages inherent in each approach.
Comments:
Your strategy is not addressing key approaches to using HIM data to imrprove process I need need to see
current trends and best practices.
(14%)
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CRITERIA 4
Summarize the data needs within a health care system.
COMPETENCY
Apply data classification and management techniques to decision making as a health care administrator.
NON_PERFORMANCE: Does not summarize the data needs within a health care system.
BASIC:
Provides a superficial summary that overlooks data needs that decision makers must be cognizant of.
PROFICIENT: Summarizes the data needs within a health care system.
DISTINGUISHED:
Summarizes the data needs within a health care system. Provides a concise, accurate summary and
proposes suitable criteria for prioritizing data needs.
Comments:
(14%)
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CRITERIA 5
Propose strategies for meeting the data needs of a health care system.
COMPETENCY
Apply data classification and management techniques to decision making as a health care administrator.
NON_PERFORMANCE:
Does not propose strategies for meeting the data needs of a health care system.
BASIC:
Proposes strategies for meeting the data needs of a health care system that are insufficient or
impracticable.
PROFICIENT: Proposes strategies for meeting the data needs of a health care system.
DISTINGUISHED:
Proposes strategies for meeting the data needs of a health care system. Provides a concise, unbiased
assessment of the advantages and disadvantages inherent in each approach.
Comments:
I am not seeing your concise, unbiased assessment of the advantages and disadvantages inherent in
each approach supported by evidence-based literature.
(14%)
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CRITERIA 6
Propose communication strategies for disseminating strategic information to end-users.
COMPETENCY
Communicate effectively with diverse audiences, in an appropriate form and style, consistent with
applicable organizational, professional, and scholarly standards.
NON_PERFORMANCE:
Does not propose communication strategies to disseminate information to end-users.
BASIC:
Proposes communication strategies to disseminate information to end-users that are insufficient or
impracticable.
PROFICIENT:
Proposes communication strategies for disseminating strategic information to end-users.
DISTINGUISHED:
Proposes communication strategies for disseminating strategic information to end-users. Presents
sound evidence to support the contention that the proposed strategies will be effective.
Comments:
I am not seeing enough depth on communication strategies specific to Vila Health’s setting. You needed to
present strategic information to end-users. Presents sound evidence to support the contention that the
proposed strategies will be effectiv
(14%)
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CRITERIA 7
Write clearly and concisely, using correct grammar, mechanics, and APA formatting.
COMPETENCY
Communicate effectively with diverse audiences, in an appropriate form and style, consistent with
applicable organizational, professional, and scholarly standards.
NON_PERFORMANCE:
Does not write clearly and concisely, using correct grammar, mechanics, and APA formatting.
BASIC:
Writing is unclear and disorganized, includes errors in grammar and mechanics that inhibit effective
communication, or contains incorrect or improperly formatted source citations and references.
PROFICIENT: Writes clearly and concisely, using correct grammar, mechanics, and APA formatting.
DISTINGUISHED:
Writes clearly and concisely. Grammar, mechanics, and APA formatting are error-free.
Comments:
APA was not followed for references -references in APA should be using hanging indent and headings aer
bold/centered.
(14%)
2
Running Head:
Organizational Data needs
2
Organizational Data needs
Organization Data Needs
Capella University
Assignment 2
Internal data sources can include data systems, for example, a radiology data system, medical library data, or the patient finance and billing system. Internal data sources also include EHR data systems such as the demographics, medical history of patients and disease records, medication and allergies records, laboratory test results, personal patient statistics such as gender age, weight and billing information (Porter et al, 2018).
External data sources include data from Centres for Medicare and Medicaid Services (CMS), benchmarking data from other hospitals are external data used to improve the performance of the facility. The audit of the stock of Vila Health data systems by the Working Groups included an appraisal of basic data holes and needs that presently exist. The Department should coordinate concentration and consideration in pushing ahead to address these and different needs, keeping in mind the following external data: health status results, protection inclusion rates, access, and quality pointers, medicinal services consumptions and population health status measures.
Other external data include; results form monitoring the conduct of States, health plans, management systems, suppliers, and shoppers with regards to ACA. The health status and health services variations of a vulnerable population, for example, racial and ethnic population, people with handicaps, country population, and the LGBT population. State and network-level strategy and general health data.
To address such needs Vila Health data systems should be progressively receptive to strategy needs as far as practicality, adaptability, granularity, and the ability to screen change after some time. Likewise, thought of non-customary data sources, for example, those accessible in the business segment will address a few data needs (Porter et al, 2018). Changes in the sufficiency of social insurance establishments and workforce to address issues. Social determinants of health and the changing idea of population health past the medicinal services conveyance system.
On account of a healthcare data system, data collected could be explicit to requesting or administering, inclusive of the date, time and term, sedate structure, dose, course, recurrence, and any uncommon guidelines. To encourage the electronic sharing of data, wordings, for example, the National Drug Code (NDC) and RxNorm are used and ought to be characterized in the data lexicon. The NDC contains data on the manufacturer, the size of the bundle, the measurement plan and on the off chance that it is conventional versus brand. RxNORM is kept up by the National Library of Medicine and gives names and one of a kind identifier to clinical medications.
Surely, every datum source is one of a kind in its own particular manner. Being sure about the area of the data, understanding its procedures of assortment, the management, and connection to every one of your contributing sources will enable you to develop a situation of trust, worth, and effectiveness.
Health services systems keep on creating skills for catching, dispersing, and making a move on data from external sources. The procedure to decide how to make such data important is in its earliest stages, however its capability to substantially improve the nature of care, increment persistent fulfillment while bringing down expenses is extraordinary.
Collecting data into an EDW from internal, dissimilar, clinical, authoritative, and money related systems is the main basic advance to distinguish open doors for quality improvement and cost reserve funds. As the change to esteem-based consideration keeps on picking up force, the achievement will be dictated by how viably external data is included into the EDW. Conglomerating external and internal data empower pioneers to effectively supervise and oversee current agreements. It enables the whole group to secretly plan to convey esteem-based consideration later on.
Investigating section data has consistently been a piece of medicinal services as clinics Endeavor to address the issues of patients in the networks they serve. The development of shared responsibility understandings set up money related motivating forces for organizations to convey top-notch, tolerant focused consideration at lower costs.
Social insurance organizations are extremely excited about benchmarking. Most clinics and health systems buy into some sort of benchmarking administration. These administrations convey fixed arrangements of reports to supporters which, when joined in the EDW, can enable organizations to direct their very own exhibition benchmarking.
Numerous health services organizations are entering, or are wanting to enter, into some sort of in risk agreement, for example, a packaged instalment program, a Medicare Advantage plan, or an ACO. Effectively coordinating external and internal cases data empowers pioneers to regulate these agreements all the more adequately. Data from CMS and business payers speak to the most widely recognized sort of outside data right now consolidated by health systems into their EDW.
Coordinating cases data isn’t without its difficulties. Guarantee data collections regularly slack the conveyance of care by in any event 60 days. Some case data collections are de-distinguished, constraining the bits of knowledge gathered from them.
Expanding the helpfulness of cases data frequently requires coordinating the patient on each guarantee with a patient in the EHR utilizing an ace patient record. At times, there may not be an appropriate coordinating innovation previously conveyed. The steady venture required to coordinate case data into the EDW is vital, even crucial, to achieve accomplishment in risk-based agreements.
The fundamental difficulties with stacking benchmarking data are anonymization and the total idea of benchmarking data. Anonymization implies benchmarking administrations regularly don’t send data for a specific, named emergency clinic. The data gave is to “a network medical clinic with between 200-300 beds.”
Benchmarking data is generally not as adjusted as clinical or case data. Rather than getting data containing the individual pneumonia readmissions rates for 17 explicit clinics, the reports give the normal pneumonia readmissions rate for a gathering of 17 mysterious emergency clinics.
An organization needs a significant level of investigative mastery in customer and family unit data to comprehend, convey, and make a move on the data form these data sources. To take care of explicit issues, numerous organizations utilize experts to help them in this procedure. A chosen few, enormous organizations, with critical examination abilities and committed key arranging assets, will think that its advantageous to do take this kind of investigation on themselves.
One incredible procedure to support the utility of data is to include data from at least two sources. This can be practiced, for instance, by connecting two overviews, connecting reviews with managerial data, connecting authoritative data with clinical data, and other data linkages.
Strategies for meeting the data needs may include fitting the message—Communication intended for an individual dependent on data from the person., focusing on the message to crowd portions—Communication intended for subgroups dependent on bunch enrolment or qualities, for example, age, sexual orientation or sex, race, social foundation, language, and other “psychographic” attributes, for example, an individual’s frames of mind about specific topic, utilizing accounts—Communication conveyed as a story, tribute, or diversion training.
Custom fitted correspondence conveyed by means of print or the Internet is more compelling than nontailored correspondence in expanding data and evolving conduct. Impact sizes can change depending on the length of follow-up, factors customized, sort of conduct, populations considered, and the number of intercession contacts.
Story types of correspondence increment data preparing and increment the influence of messages; individuals become shipped into a circumstance that can upgrade feelings, frames of mind, and practices. While thinking about dissemination methodologies, instructive effort and scholastic specifying are the most reliably successful mediations.
References
Bundled Payments for Care Improvement Initiative Fact Sheet. (2014), January 30, from Centers for Medicare & Medicaid Services website, https://www.cms.gov/newsroom/fact-sheets/bundled-payments-care-improvement-initiative-fact-sheet
Porter A, Potts H, Mason S, Morgan H, Morrison Z, Rees N, Shaw D, Siriwardena N, Snooks H, Williams V (2018). The digital ambulance: Electronic patient clinical records in prehospital emergency care. BMJ Open, 8(Suppl 1): A26-7
NEMSIS – National EMS Information System”. nemsis.org. Archived from the original on 8 June 2017. Retrieved 31 May 2017.
Suggested Resources
The resources provided here are optional. 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-FP5064 Health Care Information Systems Analysis and Design for Administrators Library Guide
can help direct your research, and the Supplemental Resources and Research Resources, both linked from the left navigation menu in your courseroom, provide additional resources to help support you.
The Role of Informatics in Health Care
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
. Retrieved from 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.
