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Write a business plan for a healthcare/medical start-up idea which would operate in/from the UAE, When writing your business plan imagine you are going to
use to ‘sell’ you business idea to potential investors. These are your target audience, and although you should include correct referencing this is not a
traditional piece of academic writing.
1- What does the company do? What is your strategic vision?
2- How is it going to work at an operational level?
3- What are the financial forecasts for the first 3 years going to look like? (i.e. will you need significant funding or can this be done as a shoestring startup?)
4- How are you going to market your start-up? Through what channels?
5- Who are your target market? (i.e. look to apply everything you have learnt in this module).
6. Explain the critical problem that the start-up attempts to solve. Include industry overview –
historical and future outlook. 2 pages
7. Identify the factors influence the future of the start-up company in UAE. 3 pages
a. Conduct PESTLE analysis to support your answer.
b. Identify the SWOT for the start-up company.
c. Identify the key segments of relevance. Use all segmentation approaches discussed in class. Justify the segments that you would target. 2 pages
8. Determine the positioning strategy for the start-up company for selected target segments. 2 pages

Sample Solution

My company’s idea is to provide healthcare services to the citizens of the United Arab Emirates (UAE). Our mission is to improve access to quality medical care, reduce waiting times for appointments, and make healthcare more affordable for residents. We plan on providing a comprehensive range of specialized medical services that will meet the needs of our clients in their own communities. In addition, we will focus on utilizing innovative technologies and strategies in order to improve patient experience and satisfaction.

At an operational level, our business model involves recruiting experienced doctors from across the UAE who have the necessary expertise in various areas such as cardiology, neurology or orthopedics. These specialists would be able to serve patients remotely using digital platforms which allow them to conduct consultations with individuals via video conferencing or telephone calls (Joubert et al., 2020). We also plan on setting up physical clinics where patients can visit if they need additional tests such as bloodwork or X-rays.

We expect that our service delivery model will result in significant cost savings compared to traditional hospital visits since no travel expenses are incurred by patients. This should reduce overall costs associated with seeking medical treatment while maintaining high levels of care provided by qualified professionals. Additionally, it should help increase patient satisfaction due not only lower prices but shorter waiting times when making an appointment.

In terms of financial investments needed for this venture ,we anticipate needing about 2 million dirhams over three years . This includes funds required for purchasing equipment related medical software/hardware , hiring staff and covering any other overhead costs associated with running a business .We believe this amount should be sufficient enough cover all initial setup fees considering that most assets used in our operations are already readily available within existing medical infrastructure (Tirico et al., 2017)

Range of outright judgment

The range of outright judgment is characterized as the cutoff to the precision with which one can distinguish the extent of a unidimensional boost variable (Miller, 1956), with this breaking point or length generally being around 7 + 2. Mill operator refers to Hayes memory range explore as proof for his restricting range. In this members needed to review data read out loud to them and results plainly showed that there was a typical furthest constraint of 9 when paired things were utilized. This was regardless of the consistent data speculation, which has recommended that the range ought to be long if each introduced thing contained little data (Miller, 1956). The end from Hayes and Pollack’s trials (see figure 1) was that how much data communicated expansions in a straight style alongside how much data per unit input (Miller, 1956). Figure 1. Estimations of memory for data wellsprings of various sorts and digit remainders, contrasted with anticipated results for consistent data. Results from Hayes (left) and Pollack (right) refered to by (Miller, 1956)

 

Pieces and lumps

Mill operator alludes to a ‘cycle’ of data as the need might have arisen ‘to go with a choice between two similarly logical other options’. Hence 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 effectively recalled) 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 recalled then just 2-3 words could be recollected at any one time, clearly wrong. The restricting range can more readily be grasped with regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps.

Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pieces of data that can be put away in prompt (present moment) memory, how much data inside every one of those lumps can be very high, without unfavorably influencing the review of similar number of lumps. The cutting edge perspective on momentary memory limit Millers sorcery number 7+2 has been all the more as of late reclassified to the enchanted number 4+1 (Cowan, 2001). The test has come from results, for example, those from Chen and Cowan, in which the anticipated outcomes from a trial were that prompt sequential review of outright quantities of singleton words would be equivalent to the quantity of pieces of learned pair words. Anyway truth be told it was found that a similar number of pre-uncovered singleton words was reviewed as the quantity of words inside educated matches – eg 8 words (introduced as 8 singletons or 4 learned sets). Anyway 6 learned matches could be reviewed as effectively as 6 pre-uncovered singleton words (Chen and Cowan, 2005). This recommended an alternate system for review contingent upon the conditions. Cowan alludes to the greatest number of lumps that can be reviewed as the memory stockpiling limit (Cowan, 2001). It is noticed that the quantity of pieces can be impacted by long haul memory data, as demonstrated by Miller regarding recoding – with extra data to empower this recoding coming from long haul memory.

 

Factors influencing clear transient memory

Practice

The penchant to utilize practice and memory helps is a serious complexity in precisely estimating the limit of transient memory. To be sure a significant number of the investigations pompously estimating momentary memory limit have been contended to be really estimating the capacity to practice and access long haul memory stores (Cowan, 2001). Considering that recoding includes practice and the utilization of long haul memory arrangement, whatever forestalls or impacts these will clearly influence the capacity to recode effectively (Cowan, 2001).

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