CareSync Digital · Digital Health Specialist
Digital Health Specialist
3 months · 15 hrs/week · Remote · Intermediate
CareSync Digital is a fictional simulated work environment created for the Jay Health Work Experience Programme. It is not a real or verified employer, and this programme is an educational work-experience placement, not employment.
Programme overview
Examine digital health service improvement by assessing information flows, data governance needs and adoption barriers across scheduling, intake and referral journeys.
Digital Health Specialist Work Lab
The Digital Health Specialist Work Lab programme scope centres on data quality across scheduling and referrals. Its intended outputs include digital health information-flow assessment, data quality and adoption issue register, service improvement recommendations.
What you will do: Digital Health Specialist Work Lab
- Analyse information flows between service steps
- Identify data quality and adoption barriers
- Recommend improvements with governance considerations
Through role-focused educational assignments at CareSync Digital, you will work through case briefs, document the evidence behind your decisions and prepare work samples relevant to data quality across scheduling and referrals.
Work you will prepare for review
- Digital health information-flow assessment
- Data quality and adoption issue register
- Service improvement recommendations
Methods you will practise
- Information-flow maps
- Data governance and adoption assessment templates
Your weekly work cycle
- Develop and revise your digital health information-flow assessment
- Submit progress on your data quality and adoption issue register with evidence and outstanding questions
- Discuss data quality across scheduling and referrals findings in a supervisor review and record agreed next steps
Feedback and improvement. Your Digital Health Specialist assignments will be reviewed against the programme’s assessment criteria. You will explain your approach, discuss corrections and refine your deliverables before including permitted samples in your portfolio. The programme runs for 3 months, with an expected commitment of 15 hours per week; agreed assignments and review arrangements are confirmed in your enrolment offer.
Role description
Purpose of the role. The Digital Health Specialist programme develops role-specific judgement and professional work samples through data quality across scheduling and referrals. The emphasis is on explaining your approach, producing clear evidence and improving work in response to supervisor feedback.
Work environment. A remote educational Digital Health Specialist programme set in the fictional CareSync Digital environment, with role-focused case briefs, structured assignments and supervisor review.
Day-to-day responsibilities
- Analyse information flows between service steps
- Identify data quality and adoption barriers
- Recommend improvements with governance considerations
Weekly responsibilities
- Develop and revise your digital health information-flow assessment
- Submit progress on your data quality and adoption issue register with evidence and outstanding questions
- Discuss data quality across scheduling and referrals findings in a supervisor review and record agreed next steps
Expected deliverables
- Digital health information-flow assessment
- Data quality and adoption issue register
- Service improvement recommendations
Reporting and supervision. The Digital Health Specialist programme scope includes an assigned supervisor reviewing role-specific deliverables, explaining corrections and assessing work against the criteria in your enrolment offer.
Tools and methods relevant to this programme
- Information-flow maps
- Data governance and adoption assessment templates
Requirements
Qualifications or professional background
- Health, public health, health informatics or related background
Required skills
- Digital confidence
- Data accuracy
- Problem solving
Preferred skills
- Exposure to EHR or digital health programmes
Previous experience. Prior exposure is helpful but not essential.
Digital literacy. Comfortable using web applications, spreadsheets and online communication tools.
Communication. Clear written English and timely responses to team messages and supervisor feedback.
Availability. 15 hours per week for 3 months, including scheduled reviews.
Technical requirements. A laptop or desktop computer, a modern browser and a stable internet connection.
Professional and ethical boundaries
- Educational casework only; no employment, real patient care, payer transactions or production system access is implied
- Use only fictional or authorised educational material; do not upload real patient or confidential employer information
- Specialist software, live integrations and dedicated role-specific workflows are not included in the current platform
Expected workload
Hours per week. 15 hours.
Assignment scope. Role-specific case briefs and deliverables focused on data quality across scheduling and referrals. Assignment volume and due dates are confirmed in the enrolment offer within the 15-hour weekly commitment.
Deadlines and reporting. Tasks carry individual due dates; a weekly summary is due at the end of each week.
Meetings. One weekly team stand-up and one supervisor review session.
Attendance. Check in and out of the work lab for each working session.
How performance is evaluated
- Accuracy and relevance of digital health information-flow assessment
- Evidence and reasoning in data quality and adoption issue register
- Documentation quality and professional boundaries
- Deadline adherence and response to feedback
Benefits
- Practical work-experience programme
- Access to Remote Career Launchpad
- Free mentor access according to the programme's mentoring arrangements
- Access to the Jay Health job board
- 10% discount on eligible Jay Health courses
- Supervisor feedback
- Opportunity to build a portfolio of permitted work samples
- Performance-based reward eligibility, where applicable (conditional, not guaranteed)
Learning outcomes
By the end of the programme you should be able to:
- Explain the key decisions and standards involved in data quality across scheduling and referrals
- Prepare professional digital health information-flow assessment
- Prepare professional data quality and adoption issue register
- Prepare professional service improvement recommendations
- Use supervisor feedback to improve the clarity, accuracy and completeness of your work
Selection process
- Application review
- Interview
- Role-relevant assessment
- Acceptance decision
- Enrolment and payment of the ₦20,000 enrolment fee (only after acceptance)
- Onboarding