‫י‬'/‫אדר‬/‫תשפ‬"‫ה‬
1
WORKSHOP:
Future Problem-Solving in
Digital Healthcare Transformation
Strategic Management of Non-Profit Organizations:
The Case of Healthcare Organizations
Lior Naamati-Schneider , PhD.
May 4-9, 2025 | MVSO,Olomouc
Identify future challenges
stemming from AI and technology.
02
Use PESTEL analysis to assess
external factors impacting
healthcare.
03
Develop strategic solutions for
emerging healthcare issues.
04
Understand how digital
transformation is shaping healthcare.
01
Global Future Problem-Solving in Non-Profit Healthcare Organizations
Navigating Adaptation to Innovation, Digital Transformation, and AI Integration
Workshop Objectives
Problem-Based
Learning (PBL)
A student-centeredlearning approach where
you solve real-world problems
Encourages critical thinking, teamwork, and
strategicproblem-solving.
In this workshop, you will use PBL to develop AI-driven
solutions for healthcare challenges.
1
2
3
‫י‬'/‫אדר‬/‫תשפ‬"‫ה‬
2
Future ProblemSolving
& Global
Perspective:
The healthcare sector is rapidly evolving,
requiring innovative future-oriented solutions.
This workshop focuses on emerging global
healthcare challenges, such as AI ethics,
telemedicine security, and digital transformation.
Understanding global trends allows students to
create strategies that address healthcare issues
beyond their local context.
Cross-CulturalCollaboration: Working in diverse
teams enhances problem-solving through
different perspectives.
Exposure to InternationalHealthcare Systems:
Learning how digital transformation varies across
healthcare systems worldwide.
Developing Global Competency: Enhances
adaptabilityto work in international healthcare
settings.
Examples of Future Healthcare Problems
✓ Ethical issues in AI-powered diagnostics.
✓ Privacy concerns in telemedicine & patient data security.
✓ Workforce reskilling for AI-driven healthcare.
✓ Sustainability challenges in digital healthcare.
✓ Bias in AI algorithms and its impact on decision-making.
Workshop Overview
Each group will::
Analyze it using PESTEL
(Political, Economic, Social, Technological, Environmental,
and Legal factors).
future healthcare problem
Select a future healthcare problem related to digital
transformation
Identify opportunities & threats
Linked to their chosen issue.
Develop strategic solutions
To address the problem.
Prepare a final presentation for May 8, 2025.
4
5
6
‫י‬'/‫אדר‬/‫תשפ‬"‫ה‬
3
What is PESTEL Analysis?
P
Political
E
Economic
S
Social
T
Technological
E
Environmental
L
Legal
A framework for analyzing external factors affecting organizations:
PESTEL Analysis
P
Political
E
Economic
S
Social
T
Technological
E
Environmental
L
Legal
Healthcare policies,
government funding,
public health initiatives
•Government policies
on AI and digital
healthcare.
•Public health
initiatives and
regulations.
•Healthcare funding
and budget allocations.
.
Funding stability,
healthcare costs, inflation
effects
•Cost of implementing AI
and digital solutions.
•Economic stability
affecting healthcare
investments.
•Availability of financial
incentives or subsidies for
tech adoption.
Cultural values,
demographic shifts,
healthcare accessibility
•Changing demographics
(aging population,
cultural diversity).
•Public attitudes toward
AI-driven healthcare.
•Ethical concerns
regarding AI decisionmaking
in patient care.
AI, telemedicine,
automation in
healthcare
•Adoption of AI,
telemedicine, and
automation.
•Challenges in
integrating new
technologies into
existing systems.
•Cybersecurity concerns
in digital healthcare
Sustainability, waste
management, climate
change impact
•Sustainable healthcare
solutions (energyefficient
hospitals, green
tech).
•Impact of climate
change on healthcare
facilities and services.
•Waste management
and eco-friendly digital
solutions.
.
Regulations, patient data
laws, compliance
standards
•Compliance with
healthcare regulations
(GDPR, HIPAA).
•Intellectual property
rights for AI-driven
medical solutions.
•Liability concerns in AIassisted
diagnoses and
treatments.
.
PESTEL Analysis
P
Political
E
Economic
S
Social
T
Technological
E
Environmental
L
Legal
Healthcare policies,
government funding,
public health initiatives
•Government policies
on AI and digital
healthcare.
•Public health
initiatives and
regulations.
•Healthcare funding
and budget allocations.
.
Funding stability,
healthcare costs, inflation
effects
•Cost of implementing AI
and digital solutions.
•Economic stability
affecting healthcare
investments.
•Availability of financial
incentives or subsidies for
tech adoption.
Cultural values,
demographic shifts,
healthcare accessibility
•Changing demographics
(aging population,
cultural diversity).
•Public attitudes toward
AI-driven healthcare.
•Ethical concerns
regarding AI decisionmaking
in patient care.
AI, telemedicine,
automation in
healthcare
•Adoption of AI,
telemedicine, and
automation.
•Challenges in
integrating new
technologies into
existing systems.
•Cybersecurity concerns
in digital healthcare
Sustainability, waste
management, climate
change impact
•Sustainable healthcare
solutions (energyefficient
hospitals, green
tech).
•Impact of climate
change on healthcare
facilities and services.
•Waste management
and eco-friendly digital
solutions.
.
Regulations, patient data
laws, compliance
standards
•Compliance with
healthcare regulations
(GDPR, HIPAA).
•Intellectual property
rights for AI-driven
medical solutions.
•Liability concerns in AIassisted
diagnoses and
treatments.
.
7
8
9
‫י‬'/‫אדר‬/‫תשפ‬"‫ה‬
4
PESTEL Analysis
P
Political
E
Economic
S
Social
T
Technological
E
Environmental
L
Legal
Healthcare policies,
government funding,
public health initiatives
•Government policies
on AI and digital
healthcare.
•Public health
initiatives and
regulations.
•Healthcare funding
and budget allocations.
.
Funding stability,
healthcare costs, inflation
effects
•Cost of implementing AI
and digital solutions.
•Economic stability
affecting healthcare
investments.
•Availability of financial
incentives or subsidies for
tech adoption.
Cultural values,
demographic shifts,
healthcare accessibility
•Changing demographics
(aging population,
cultural diversity).
•Public attitudes toward
AI-driven healthcare.
•Ethical concerns
regarding AI decisionmaking
in patient care.
AI, telemedicine,
automation in
healthcare
•Adoption of AI,
telemedicine, and
automation.
•Challenges in
integrating new
technologies into
existing systems.
•Cybersecurity concerns
in digital healthcare
Sustainability, waste
management, climate
change impact
•Sustainable healthcare
solutions (energyefficient
hospitals, green
tech).
•Impact of climate
change on healthcare
facilities and services.
•Waste management
and eco-friendly digital
solutions.
.
Regulations, patient data
laws, compliance
standards
•Compliance with
healthcare regulations
(GDPR, HIPAA).
•Intellectual property
rights for AI-driven
medical solutions.
•Liability concerns in AIassisted
diagnoses and
treatments.
.
PESTEL Analysis
P
Political
E
Economic
S
Social
T
Technological
E
Environmental
L
Legal
Healthcare policies,
government funding,
public health initiatives
•Government policies
on AI and digital
healthcare.
•Public health
initiatives and
regulations.
•Healthcare funding
and budget allocations.
.
Funding stability,
healthcare costs, inflation
effects
•Cost of implementing AI
and digital solutions.
•Economic stability
affecting healthcare
investments.
•Availability of financial
incentives or subsidies for
tech adoption.
Cultural values,
demographic shifts,
healthcare accessibility
•Changing demographics
(aging population,
cultural diversity).
•Public attitudes toward
AI-driven healthcare.
•Ethical concerns
regarding AI decisionmaking
in patient care.
AI, telemedicine,
automation in
healthcare
•Adoption of AI,
telemedicine, and
automation.
•Challenges in
integrating new
technologies into
existing systems.
•Cybersecurity concerns
in digital healthcare
Sustainability, waste
management, climate
change impact
•Sustainable healthcare
solutions (energyefficient
hospitals, green
tech).
•Impact of climate
change on healthcare
facilities and services.
•Waste management
and eco-friendly digital
solutions.
.
Regulations, patient data
laws, compliance
standards
•Compliance with
healthcare regulations
(GDPR, HIPAA).
•Intellectual property
rights for AI-driven
medical solutions.
•Liability concerns in AIassisted
diagnoses and
treatments.
.
PESTEL Analysis
P
Political
E
Economic
S
Social
T
Technological
E
Environmental
L
Legal
Healthcare policies,
government funding,
public health initiatives
•Government policies
on AI and digital
healthcare.
•Public health
initiatives and
regulations.
•Healthcare funding
and budget allocations.
.
Funding stability,
healthcare costs, inflation
effects
•Cost of implementing AI
and digital solutions.
•Economic stability
affecting healthcare
investments.
•Availability of financial
incentives or subsidies for
tech adoption.
Cultural values,
demographic shifts,
healthcare accessibility
•Changing demographics
(aging population,
cultural diversity).
•Public attitudes toward
AI-driven healthcare.
•Ethical concerns
regarding AI decisionmaking
in patient care.
AI, telemedicine,
automation in
healthcare
•Adoption of AI,
telemedicine, and
automation.
•Challenges in
integrating new
technologies into
existing systems.
•Cybersecurity concerns
in digital healthcare
Sustainability, waste
management, climate
change impact
•Sustainable healthcare
solutions (energyefficient
hospitals, green
tech).
•Impact of climate
change on healthcare
facilities and services.
•Waste management
and eco-friendly digital
solutions.
.
Regulations, patient data
laws, compliance
standards
•Compliance with
healthcare regulations
(GDPR, HIPAA).
•Intellectual property
rights for AI-driven
medical solutions.
•Liability concerns in AIassisted
diagnoses and
treatments.
.
10
11
12
‫י‬'/‫אדר‬/‫תשפ‬"‫ה‬
5
PESTEL Analysis
P
Political
E
Economic
S
Social
T
Technological
E
Environmental
L
Legal
Healthcare policies,
government funding,
public health initiatives
•Government policies
on AI and digital
healthcare.
•Public health
initiatives and
regulations.
•Healthcare funding
and budget allocations.
.
Funding stability,
healthcare costs, inflation
effects
•Cost of implementing AI
and digital solutions.
•Economic stability
affecting healthcare
investments.
•Availability of financial
incentives or subsidies for
tech adoption.
Cultural values,
demographic shifts,
healthcare accessibility
•Changing demographics
(aging population,
cultural diversity).
•Public attitudes toward
AI-driven healthcare.
•Ethical concerns
regarding AI decisionmaking
in patient care.
AI, telemedicine,
automation in
healthcare
•Adoption of AI,
telemedicine, and
automation.
•Challenges in
integrating new
technologies into
existing systems.
•Cybersecurity concerns
in digital healthcare
Sustainability, waste
management, climate
change impact
•Sustainable healthcare
solutions (energyefficient
hospitals, green
tech).
•Impact of climate
change on healthcare
facilities and services.
•Waste management
and eco-friendly digital
solutions.
.
Regulations, patient data
laws, compliance
standards
•Compliance with
healthcare regulations
(GDPR, HIPAA).
•Intellectual property
rights for AI-driven
medical solutions.
•Liability concerns in AIassisted
diagnoses and
treatments.
.By analyzing these factors, organizations can develop proactive strategies to address both current and
future challenges in healthcare digital transformation.
How to Conduct PESTEL Analysis?
Research each factor
relevant to your
chosen problem.
Ask key questions for
each category.
Identify opportunities
& threats from your
findings.
Propose strategic
solutions based on
analysis.
PESTEL Analysis - Key Questions for Each Factor
P
Politics
E
Economy
S
Social
T
Technology
E
Environment
L
Legal
•What government
policies affect this
issue?
•How do regulations
support or hinder
digital transformation?
.
•How do demographics
shape healthcare demand?
•What are the ethical or
cultural concerns?
•How does
sustainabilityimpact
healthcare operations?
•Are there eco-friendly
digital solutions?
•Are there funding challenges for
digital healthcare?
•How does cost influence
accessibilityand adoption?
•What digital innovations are
emerging?
•What are the barriers to AI
adoption?
•What are the compliance
requirements for AI in
healthcare?
•How do dataprotection laws
affecttelemedicine?
13
14
15
‫י‬'/‫אדר‬/‫תשפ‬"‫ה‬
6
O T
Opportunities
ThreatsTrends that can benefit healthcare innovation.
Risks that may slow digital transformation or
create ethical concerns
Identifying Opportunities & Threats
O T
Opportunities
ThreatsFaster, more accurate diagnoses.
AI bias may lead to misdiagnoses or unequal
treatment
Identifying Opportunities & Threats
Example: AI in Diagnostics
Developing Strategic Solutions
Use your PESTEL findings to propose actionable solutions.
Consider:
Policyrecommendations(Political) –
✓ Advocating for supportive regulations and ethical AI policies.
Financial strategies(Economic)–
✓ Identifying funding sources for AI adoption.
Workforcetraining& awareness(Social) –
✓ Upskilling healthcare professionals for AI integration.
Adoption& regulationof new technologies(Technological) –
✓ Ensuring safe implementation of AI-driven tools.
Sustainabilityinitiatives(Environmental)–
✓ Implementing green healthcare technologies.
Compliance& legal considerations(Legal) –
✓ Addressing data security and ethical concerns.
Feasibility:
Can the solution be
implemented with current
resources?
Scalability:
Can the strategy expand to
other healthcare settings?
Ethical& Legal Concerns: Are
there potential ethical
dilemmas or compliance
risks?
Pros & Cons:
Weigh benefits (e.g.,
efficiency, accessibility)
against risks (e.g., privacy
issues, implementation costs).
What to Consider:
16
17
18
‫י‬'/‫אדר‬/‫תשפ‬"‫ה‬
7
Example – Telemedicine &
Data Security Problem
Problem:
Telemedicine expands access to
care but raises privacy concerns.
Example – Telemedicine
& Data Security
• Patient trust is key; some populations may
resist digital health.
P
Politics
E
Economy
S
Social
T
Technology
E
Environment
L
Legal
Regulations on
patient data
protection
Reduces carbon
footprint by limiting
hospital visits.
Telemedicine reduces costs
but requires investment in
cybersecurity.
Secure encoding
(encryption),AI-driven fraud
detection.
Non-compliance with data
protection laws may lead to
penalties.
Patient trust is key; some
populations may resist digital
health
StrategicSolutions:
1. Strengthening Data Encoding & Cybersecurity Protocols.
2. Regulatory Compliance & Continuous Monitoring.
3. Patient Education on Secure Telemedicine Use.
Tactics:
✓ Implement end-to-end encryption for
patient data.
✓ Use multi-factor authentication for
healthcare systems.
✓ Regularly update security firewalls&
anti-malwareprotection.
✓ Develop AI-driven threat detection
systemsto monitor unusual activity.
ActionItems:
✓ Conduct a security audit to identify
vulnerabilities.
✓ Train IT teams on encoding best
practices.
✓ Implement cloud-based backup
solutions for data recovery.
✓ Create a response plan for cyberattacks
StrengtheningData
Encoding&
Cybersecurity Protocols.
Regulatory Compliance
& Continuous
Monitoring
PatientEducationon
SecureTelemedicineUse
Tactics:
✓ Establisha continuous compliance
monitoring system.
✓ Conduct regular risk assessments
and audits.
✓ Implement automatedcompliance
tracking tools.
ActionItems:
✓ Appoint a Compliance Officer to
oversee legal adherence.
✓ Schedule quarterly security audits to
ensure regulation updates.
✓ Develop data breach protocols and
an emergency response plan.
✓ Use AI to track and flag compliance
violations in real time.
Tactics:
✓ Develop easy-to-understand
digital guides for secure online
consultations.
✓ Offer webinars & training for
patients on protecting their health
data.
✓ Use AI chatbots for real-time
cybersecurity tips in patient
portals.
ActionItems:
✓ Design a cyber awareness
campaign for patients.
✓ Create short video tutorials on
secure telemedicine practices.
✓ Set up a helpdesk for
cybersecurity concerns.
19
20
21
‫י‬'/‫אדר‬/‫תשפ‬"‫ה‬
8
22
Alternatives & Their Pros and Cons – Patient Education on Secure
Telemedicine Use
Alternative 1: Interactive Online Courses & Webinars
Pros Cons
✓ Accessible to a broad audience.
✓ Can include real-time Q&A and
expert guidance.
✓ Cost-effective after initial setup.
✓Requires internet access and basic
digital literacy.
✓Engagement may be low without
interactive elements.
✓Needs regular content updates.
23
Alternatives & Their Pros and Cons – Patient Education on Secure
Telemedicine Use
Alternative 2: AI-Powered Chatbots for Patient Guidance
Pros Cons
✓ Available 24/7 for real-time
assistance.
✓ Personalized responses tailored to
patient concerns.
✓ Reduces workload on healthcare
staff.
✓ Limited ability to handle complex
queries.
✓ Potential privacy concerns with AI data
collection.
✓ Requires maintenance and periodic
improvements.
24
Alternatives & Their Pros and Cons – Patient Education on Secure
Telemedicine Use
Alternative 3: Printed Educational Materials & Posters in Clinics
Pros Cons
✓ Effective for patients with limited
digital access.
✓ Simple and easy to understand.
✓ Can be customized for specific
healthcare settings.
✓ Not interactive or adaptable in real-
time.
✓ Requires manual distribution and
regular updates.
✓ May not effectively engage younger,
tech-savvy patients.
22
23
24
‫י‬'/‫אדר‬/‫תשפ‬"‫ה‬
9
25
Alternatives & Their Pros and Cons – Patient Education on Secure
Telemedicine Use
Alternative 4: One-on-One Patient Counseling by Healthcare Providers
Pros Cons
✓ Provides personalized guidance and
patient-specific advice.
✓ Ensures patient understanding and
addresses individual concerns.
✓ Builds trust in telemedicine
services.
✓ Time-consuming for healthcare
providers.
✓ Limited scalability due to resource
constraints.
✓ May not be feasible for large patient
populations.
• Factors to Consider:
✓ Patient Demographics: Which method suits the target audience best?
✓ Cost vs. Benefit: Which alternative is most cost-effective?
✓ Scalability: Can it be expanded to reach more patients?
✓ Digital Literacy Levels: Do patients have the skills to access digital
solutions?
✓ Long-Term Impact: Which method ensures sustained learning and
awareness?
Choosing the Right Strategy – Patient Education
Each group will be evaluated based on:
ProblemIdentification
(Clear definition & relevanceto healthcarechallenges)
Depth of PESTEL Analysis
(Thorough research& insights)
Strategic Solutions
(Feasibility,innovation,impact)
PresentationQuality
(Clarity,structure,visual appeal)
Engagement& Q&A Handling
(Ability to answer questions effectively)
Student Presentation Assessment Criteria
25
26
27
‫י‬'/‫אדר‬/‫תשפ‬"‫ה‬
10
Let’s Get
Started!
MVSO-JMC Final Assignment
28