Business Requirements Analysis
Assignment1 Part 2
Student Name (as per record)
SWOT Table
Strengths
Opportunities
S1. Dedicated staff of 250 healthcare professionals
O1. Technology Integration into everyday operations
S2. Strong Reputation in the industry
O2. Adopting franchise model for business expansion
S3. Personalised care and treatment plans for patients
O3. Implementing marketing strategies for more brand exposure
S4. Access to industry experts and consultants
O4. Generative AI usage to follow industry trend
S5. Investors and partners willing to invest in the business
O5. using AI-powered chatbots
expansion project
Weaknesses
Threats
W1. Inadequate digital systems which are inefficient for
T1. Competition in the medical industry
handling franchisee operations
T2. Increasing cost of healthcare services
W2. Less brand exposure within the industry
T3. Data privacy concerns due to cyber attacks
W3. Lack of resources within the organisation to expand
business
T4. Shortage of healthcare workers
W4. Limited operations due to lack of franchisees
T5. Legal concerns due to changes in regulations regarding
management practices and patient treatment protocols
W5. Manual systems for daily operations like taking patient
histories, appointment records, etc
Annotations, assumptions, and references
Major Healthcare Challenges and Their Solutions
(Schwartz, 2024)
Business Requirements Analysis
Assignment1 Part 2
Strategy development and Recommendations
Internal Element S4
Personalised care and treatment plans for patients
External Element O3:
Generative AI usage to follow industry trend
Strategy 1: Using Generative Artificial Intelligence solutions to develop personalised care and treatment plans for patients using
data collected from patients on a regular basis, patient history and previous medical records of other patients dealing with similar
diseases
S4O3: This strategy combines a strength of Horizon Health with one of the opportunities available to companies in the
healthcare industry.
Pros:
1.
2.
3.
Gain real-time insights into patient’s disease progression as well as recovery rate.
Develop personalised treatments based on actual data gathered on a regular basis
With the permission of the patient, this data can be used to for medical research.
Cons:
1.
2.
Robust data storage infrastructure required for storage of huge amounts of data.
Patient’s sensitive health data can be at risk from cyber attacks
External Element O2
Adopting franchise model for business expansion
Internal Element W4
Limited operations due to lack of
franchisees franchisee operations
Strategy 2: Adopting Franchising Model to expand business operations to remedy the problem of smaller number of patients
reached.
W4O2: This strategy combines a weakness of the Horizon Health with one of the opportunities to develop a beneficial strategy.
Pros:
1.
2.
3.
Business expansion to multiple locations.
Reach more patients and provide healthcare services in various locations.
Generate more income through the franchisees by providing training and supplying equipment.
Cons:
1.
2.
Need to source finances through investors and partners.
Need to develop robust digital infrastructure to coordinate between franchises.
Recommended Strategy:
Using data gathered from patients on a regular basis, patient history and prior medical records of other patients with comparable conditions,
generative artificial intelligence solutions can be used to create personalised care and treatment plans for patients.
Justification:
Pros:
1. Using strength S4 to exploit opportunity O3
2. Get up to date information on the patient’s illness progression and rate of recovery.
3. Create personalised treatments using real data that is regularly collected from patients.
Business Requirements Analysis
4.
5.
Cons:
1.
2.
Assignment1 Part 2
Auto schedule appointments based on data provided by patients.
With the patients’ consent, this data can be used to perform medical research.
A strong data warehousing as well as cloud storage infrastructure is needed to handle vast amounts of medical data.
Medical data is sensitive in nature, therefore robust cyber security strategies need to be implemented to safeguard medical records
and other valuable data from security breaches.
Actions:
1. Secure funding through investors to start development of application.
2. Hire software developers and machine learning experts
3. Develop web and mobile application to gather real time data from patients.
4. Get licensing to access medical records of previous patients.
5. Build/rent data warehouses and cloud storage infrastructure to store gathered data.
6. Build an AI model through machine learning by using data gathered from patients, as well as old medical records.
7. Once ready, deploy the AI model in the application and start collecting patient data.
8. Advertise and market the application to spread awareness about the facility among the patients as well as general public.
9. Perform regular testing and gather feedback from patients as well as medical professionals.
How to measure success:
1. Increase in the number of patients accessing the AI application.
2. Decreased wait time for patients seeking treatments.
3. Quick appointment scheduling and less wait time to see the practitioners.
4. Home-based treatment plans showing positive results.
5. Positive feedback from patients as well as medical professionals.