Step-by-Step Guide of Collecting, Reviewing and Application Of Data to Make A Decision in a Healthcare Setting

A step-by-step guide of identifying the manner in which a person will collect, review, and apply data to make a decision in a healthcare setting.

Data collection

In order to reduce adverse trends in healthcare, hospital or clinic management require keeping correct data of the patients regarding their ethnicity, race and language. According to Walsh and Antony (2007), adoption of a four-step technique shall entail the following steps:

1. Defining the correct data categories
2. Developing a data collection methodology
3. Training and equipping the staff
4. Monitoring progress or assigning accountability

These data is essential in the sense that it enables the management in charge of an outpatient clinic to stratify product measures to acquire a comprehension of the sources of disparities. It also helps the management to consider, with urgency, where to concentrate its resources and time, and to develop intervention that centre around the patients.  In addition to the above steps, the following steps are essential in collection and management of data in outpatient a clinic setup:

1. Assembling toolkit for managing data: Data Management Plan (DMP) tool comprises of sample DMPs from various institutions, which facilitate federal funding. It, also, includes of new DMPs writing (Walsh & Antony, 2007).
2. Planning using DataONE Best Practices and DMPTool (Walsh & Antony, 2007): a plan should always be there as the process develops. It is advisable to revisit the outpatient data management on a regular basis in order to make appropriate changes.
3. Accurate collection of data as well as checking it (Walsh & Antony, 2007): this can happen in an effective way with the use of DataONE Best Practices. In the event that there are many collectors of data, one requires using a template in order to collect contextual data.
4. Description and documentation of the data: this can happen with the use of DDC Disciplinary Metadata and DataONE Best Practices (Walsh & Antony, 2007). Comprehensive documentation of data forms the basis of future interpretation and understanding of data.
5. Selection for a repository for data: tools such as DataONE Best Practices and Databib can facilitate this step in an effective manner (Walsh & Antony, 2007). In this case, the community that shall benefit from the collected are the outpatients.
6. Storage and preservation of data: it is significant to implement a plan for preserving data that can facilitate the recovery of data in a case where the physical file goes missing (Walsh & Antony, 2007).

Step to be taken in reviewing data:

1. Review, refine and re-engineer clinical processes (Huang, 2013): the market today has sophisticated databases to offer innumerable functions. Data management process in a clinical setup entails the movement of information through the organization as well as through the database.
2. Development of proper training and documentation (Huang, 2013): these two processes normally happen hand-in-hand. Training and documentation become essential the moment the management completes reviewing a clinical process and starting the installation.
3. Develop and strictly stick to data standards (Huang, 2013): this entails storage of correct information in the database, and this happens by following the rules.
4. Collect data continuously (Huang, 2013): it is essential to continue collecting and updating data in a clinical setup because appearance of new patients with new and different complications everyday.
5. Always know the kind of information needed from the database: the clinical management should settle on the database system that can perform the duties that it needs. In other words, the database system should always remain effective.

Application of data in an outpatient clinic entails identification of gaps, evaluation and improvement of management activities, and strengthening planning efforts (Walsh & Antony, 2007). This information can help the clinical management to develop a strategy that would help reduce the amount of time that patients take at the clinic whenever they visit it. According to Walsh and Antony (2007), a clinical management map for outpatients can appear as follows:

Patients enter the clinic         secretaries   enter PT into Cerner            secretaries take the chart to the nurses           patients taken to the rooms          essential information taken          chart to resident            chart reviewed by the resident           patient seen by the resident           consult with attending           resident revisits PT          patient released to checkout            Patient leaves clinic to checkout         patient seen by checkout secretary          patient finally the clinic.

One becomes aware of the trend in question by acknowledging that healthcare, today, is an industry that is rich of data, but poor of information. Clinicians collect various points of data, which entails taking every essential element into account. The data that a clinician would want to collect about a patient include names, ethnicity, race and language (Klassen & Yoogalingam, 2013). This is essential for establishing the susceptibility of the community segment in regards to a given condition of sickness. This happens prior to measuring such elements as temperature that would lead to the treatment of the patient. A clinician can apply a qualitative approach to collect the information about the patient. This can happen in form of words, direct interviews, and observation and intensive care studies (Klassen & Yoogalingam, 2013). These methods have the capacity to develop a comprehensive description of specific relationship, people, event or context in a contextual manner that is broad. Qualitative data, in this case, is preferable because it gives information from a patient’s viewpoint. The data would facilitate the response of a clinical officer to an adverse trend by enhancing care prior to a medical process with a patient. The clinician would then concentrate more on the prevailing medical condition than on the non-procedural medical intervention (Klassen & Yoogalingam, 2013). The litigation of the crisis of malpractice affects all care professionals in clinical health. Patients, most cases, sue healthcare providers for professional negligence that results into injury from intentional acts and omissions, breach of contract and defective products. In healthcare delivery, it is essential to uphold an altruistic focus; however, managers and clinicians ought to promote appropriate malpractice risk management.

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