Radiographic technique is a key element in x-ray imaging. It involves the use of films to seize x-ray images of different objects. These films are then chemically processed to produce a clear, visible image which the physicians or doctors use for diagnosing a patient’s condition.
The value of our device will be:

1.Product for all practices, the product is both the imaging services and the personnel who provide them. We accomodate, pleasant staff who are equally as important as the high-quality images we provide.

2.Our price is Competitive, Has hospital-based practices also offers the best images in town and does control total imaging costs.

3.We are advanced in Technology and Innovation.

4. Our Promotion is effective and efficient through service delivery to the client makes it a unique marketing technique to communicate to the community about the services.

5. We have Experienced and Trained personell that have a pleasant, easy-to-work-with environment is crucial to the success of the practice and performance.

With a positive, persuasive, and collaborative approach, we have synergistic partnerships based on mutual respect that are incentivized for success. Decisions are made faster and are of higher quality that is customer driven.

Private hospitals/clinics
Medical practitioners running their own practice
Goverment Health department
Radiology practices.

Title and abstract

Title


Identify the study as developing and/or validating a multivariable prediction model, the

target population, and the outcome to be predicted.

Abstract
Provide a summary of objectives, study design, setting, participants, sample size, predictors, outcome, statistical analysis, results, and conclusions.

Introduction

Background and objectives

Explain the medical context (including whether diagnostic or prognostic) and rationale

for developing or validating the multivariable prediction model, including references to existing models.

Specify the objectives, including whether the study describes the development or
validation of the model or both.

Methods

Source of data

Describe the study design or source of data (e.g., randomized trial, cohort, or registry

data), separately for the development and validation data sets, if applicable.

Specify the key study dates, including start of accrual; end of accrual; and, if applicable,

end of follow-up.

Participants

Specify key elements of the study setting (e.g., primary care, secondary care, general population) including number and location of centres.


Describe eligibility criteria for participants.

Give details of treatments received, if relevant.

Outcome
Clearly define the outcome that is predicted by the prediction model, including how and when assessed.

Report any actions to blind assessment of the outcome to be predicted.

Predictors
Clearly define all predictors used in developing or validating the multivariable prediction model, including how and when they were measured.

Report any actions to blind assessment of predictors for the outcome and othere Predictors
and sample size.

Explain how the study size was arrived at:

Missing data

Describe how missing data were handled (e.g., complete-case analysis, single imputation, multiple imputation) with details of any imputation method.


Statisticalanalysis methods

Describe how predictors were handled in the analyses.

Specify type of model, all model-building procedures (including any predictor selection), and method for internal validation.

For validation, describe how the predictions were calculated.

Specify all measures used to assess model performance and, if relevant, to compare multiple models.

Describe any model updating (e.g., recalibration) arising from the validation, if done.

Risk groups

Provide details on how risk groups were created, if done.


Development vs validation
For validation, identify any differences from the development data in setting, eligibility criteria, outcome, and predictors.

Results

Describe the flow of participants through the study, including the number of participants with and without the outcome and, if applicable, a summary of the follow-up time. A

diagram may be helpful.

Describe the characteristics of the participants (basic demographics, clinical features, available predictors), including the number of participants with missing data for

Predictors and outcome.

For validation, show a comparison with the development data of the distribution of

important variables (demographics, predictors and outcome).


Model development
Specify the number of participants and outcome events in each analysis.

If done, report the unadjusted association between each candidate predictor and outcome

Modelspecification

Present the full prediction model to allow predictions for individuals (i.e., all regression coefficients, and model intercept or baseline survival at a given time point).


Explain how to use the prediction model.

performance

Report performance measures (with CIs) for the prediction model.

Model-updating

If done, report the results from any model updating (i.e., model specification, model performance).

Discussion

Limitations

Discuss any limitations of the study (such as nonrepresentative sample, few events per predictor, missing data).

Interpretation

For validation, discuss the results with reference to performance in the development data, and any other validation data.

Give an overall interpretation of the results, considering objectives, limitations, results from similar studies, and other relevant evidence.

Implications

Discuss the potential clinical use of the model and implications for future research.


Other information

Supplementary

information


Provide information about the availability of supplementary resources, such as study

protocol, Web calculator, and data sets.

Supplemental

materials

Funding

Give the source of funding and the role of the funders for the present study.

A diagnostic radiology value chain is constructed to define its main components, all of which are vulnerable to change, because digitization has caused disaggregation of the chain. Some components afford opportunities to improve productivity, some add value, while some face outsourcing to lower labor cost and to information technology substitutes, raising commoditization risks. Digital image information, because it can be competitive at smaller economies of scale, allows faster, differential rates of technological innovation of components, initiating a centralization-to-decentralization technology trend. Digitization, having triggered disaggregation of radiology's professional service model, may soon usher in an information business model. This means moving from a mind-set of "reading images" to an orientation of creating and organizing information for greater accuracy, faster speed, and lower cost in medical decision making. Information businesses view value chain investments differently than do small professional services. In the former model, producing a better business product will extend image interpretation beyond a radiologist's personal fund of knowledge to encompass expanding external imaging databases. A follow-on expansion with integration of image and molecular information into a report will offer new value in medical decision making. Improved interpretation plus new integration will enrich and diversify radiology's key service products, the report and consultation. A more robust, information-rich report derived from a "systems" and "computational" radiology approach will be facilitated by a transition from a professional service to an information business. Under health care reform, radiology will transition its emphasis from volume to greater value. Radiology's future brightens with the adoption of a philosophy of offering information rather than "reads" for decision making.

1. Perform a Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis.

2. Not wasting time trying to match or beat our competitor but focusing on Value addition to our clients.

3.Create and maintain mutual relationships.

4.Focus on the target market and need of the client.

5. Create awareness about our product or services being offered to the community.

6.Offer good customer care relationships with the clients.