Benefits and challenges of transparent health care costs

 

Discuss the potential benefits and challenges of transparent health care costs. Next, provide a current example of a current event (within the past 12
months) in which lack of transparency in health care costs created a significant burden on patient finances. write a well-supported post based on this current
event. Consider these questions:
Provide context for the event being described.
What was the outcome of the event?
What are the benefits of having transparent health costs?
What are the challenges of having transparent health costs?
What did you learn or gain from this discussion?

 

 

Sample Solution

The potential benefits of transparent health care costs are numerous. Perhaps the most obvious is that it gives patients more control over their own health care finances, allowing them to make informed decisions about what treatments and services they can afford (Kessler & McClellan, 2017). Transparency also enables providers to be more efficient in delivering those services which can potentially lead to cost savings for both the provider and patient (Polka et al., 2018). Lastly, transparency creates a level playing field by providing all stakeholders with equal access to pricing information which would otherwise not be available.

At the same time however, there are certain challenges associated with transparent health care costs. For one thing, it requires providers to invest significant resources into collecting and managing this data which could take away from other areas such as patient care or research and development (Cristobal-Garcia et al., 2019). Additionally, some people might feel uncomfortable knowing the true cost of their medical procedures due to privacy concerns or simply because of lack of understanding on how pricing works within the healthcare system. In addition, since regulations often change frequently there can sometimes be discrepancies between what patients expect versus what is actually charged for a given service (Corlette & Whitehouse, 2015).

One example of a current event involving lack of transparency in health care costs occurred just last year when an Ohio woman was shocked to discover she had been billed nearly $30k for shoulder surgery that was supposed to have been covered by insurance. After looking further into her bill she noticed several charges listed under “Miscellaneous Services” including one lump sum charge labeled “surgical procedure” which accounted for almost half the total amount owed(McCullough 2020) This case highlights perfectly why transparency is so important in healthcare as without it patients may find themselves unknowingly responsible for large out-of-pocket expenses.

In conclusion, while there are certainly potential benefits associated with transparent health care costs there must also be safeguards put in place so that all parties involved understand exactly what they are getting into before agreeing on any treatment plan or service agreement.

Transient memory is the memory for a boost that goes on for a brief time (Carlson, 2001). In reasonable terms visual transient memory is frequently utilized for a relative reason when one can’t thoroughly search in two spots immediately however wish to look at least two prospects. Tuholski and partners allude to momentary memory similar to the attendant handling and stockpiling of data (Tuholski, Engle, and Baylis, 2001).

They additionally feature the way that mental capacity can frequently be antagonistically impacted by working memory limit. It means quite a bit to be sure about the typical limit of momentary memory as, without a legitimate comprehension of the flawless cerebrum’s working it is challenging to evaluate whether an individual has a shortage in capacity (Parkin, 1996).

 

This survey frames George Miller’s verifiable perspective on transient memory limit and how it tends to be impacted, prior to bringing the examination state-of-the-art and outlining a determination of approaches to estimating momentary memory limit. The verifiable perspective on momentary memory limit

 

Length of outright judgment

The range of outright judgment is characterized as the breaking point to the precision with which one can distinguish the greatness of a unidimensional boost variable (Miller, 1956), with this cutoff or length generally being around 7 + 2. Mill operator refers to Hayes memory length try as proof for his restricting range. In this members needed to review data read resoundingly to them and results obviously showed that there was a typical maximum restriction of 9 when double things were utilized.

This was regardless of the consistent data speculation, which has proposed that the range ought to be long if each introduced thing contained little data (Miller, 1956). The end from Hayes and Pollack’s tests (see figure 1) was that how much data sent expansions in a straight design alongside how much data per unit input (Miller, 1956). Figure 1. Estimations of memory for data wellsprings of various sorts and bit remainders, contrasted with anticipated results for steady data. Results from Hayes (left) and Pollack (right) refered to by (Miller, 1956)

 

Pieces and lumps

Mill operator alludes to a ‘digit’ of data as need might have arisen ‘to settle on a choice between two similarly probable other options’. In this manner a basic either or choice requires the slightest bit of data; with more expected for additional complicated choices, along a twofold pathway (Miller, 1956). Decimal digits are worth 3.3 pieces each, implying that a 7-digit telephone number (what is handily recollected) would include 23 pieces of data. Anyway an evident inconsistency to this is the way that, assuming an English word is worth around 10 pieces and just 23 pieces could be recollected then just 2-3 words could be recalled at any one time, clearly mistaken. The restricting range can all the more likely be figured out concerning the absorption of pieces into lumps.

This question has been answered.

Get Answer
WeCreativez WhatsApp Support
Our customer support team is here to answer your questions. Ask us anything!
👋 Hi, Welcome to Compliant Papers.