Digital4Health
▸ Digital Health Platforms▸ Automate AI reports & presentations▸ Medical & Commercial Workflows▸ Make knowledge usable — search, RAG & assistants▸ Data sovereignty & compliance by design▸ From strategy to adoption▸ No AI theatre. We build real workflows.▸ Pharma · medtech · pharmacies · practices · clinics▸ Digital Health Platforms▸ Automate AI reports & presentations▸ Medical & Commercial Workflows▸ Make knowledge usable — search, RAG & assistants▸ Data sovereignty & compliance by design▸ From strategy to adoption▸ No AI theatre. We build real workflows.▸ Pharma · medtech · pharmacies · practices · clinics

Digital health needs execution. We build platforms from strategy to adoption.

Digital4Health combines healthcare domain knowledge, product leadership, data/AI capability and hands-on delivery. Standards, data sources, workflows and stakeholder requirements become usable platforms, automations and decision material.

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Tailored digital delivery for regulated health & life sciences:

Digital4Health translates healthcare strategy, data, AI and operating workflows into executable digital platforms for pharma, medtech, pharmacies, practices, clinics, insurers and digital-health providers.

Digital HealthLife SciencesPharma & MedtechAI & AnalyticsRegulated DataGDPR/FADP20+ years delivery

Live · AI Potential Check

Seven questions. One assessment. No sales call.

See where AI gives you the biggest leverage — from reports and presentations through processes to knowledge — and how ready your data, roles and governance are for it.

7 questions · about 90 seconds · no email required

Live model
Website
Inbox
Documents
Logic
Approval
Back office

Answers become a first process map: what can be automated, where data lives and where human approval is needed.

Question 1 of 7

Where do you lose the most time today?

Strategy

We build where standards and data still fail to reach people.

Domain knowledge, data/AI and hands-on delivery combine into platforms that are actually used.

Translate standards into workflows

Regulation, strategies and standards (e.g. CHMED16A, eHealth) become concrete product and process requirements — not slides.

Make data & AI usable

Data sources, reports and knowledge are connected and made usable with AI: traceable, with visible sources and human approval.

Secure adoption & governance

Roles, data classes, training and approvals are built in from the start — so a pilot becomes real, safe usage.

What we do not do

Three lines we do not cross.

No AI theatre.

We build real workflows: data, domain logic, approvals and handoffs — not demos.

No platform forcing.

Microsoft, Swiss cloud or open source: the platform follows your risk profile, not the other way around.

No promises without leverage.

If a use case has no measurable benefit, we do not build it.

Selected Work

Two proof points for digital health and AI delivery.

A selection from two worlds — a live e-prescription workflow and AI-enabled reporting automation. The e-prescription case is told in full depth further down in the case study.

Enterprise relevance

Digital Program OrchestrationMedical & Commercial WorkflowsPlatform AdoptionAI & AnalyticsPrivacy-by-DesignStakeholder AlignmentRegulated DataChange & Enablement

01 / E-health platform

Swiss E-Prescription Fulfilment Portal

Rezeptportal Platz · patient, pharmacy, primary systems

A Swiss e-prescription portal that translates CHMED16A logic, QR capture, guided medication selection, substitution, pickup/delivery and pharmacy handover into a usable care workflow.

Why it matters

The value is not a website; it is the translation of a regulated standard into an operational workflow. That same pattern is relevant to medical platforms, commercial excellence, CRM adoption and data-driven healthcare workflows.

What it proves

  • Translated strategy and regulatory constraints into product requirements
  • Connected patient UX, pharmacy operations and external system dependencies
  • Applied privacy-by-design for sensitive health data

Stack / context

Next.jsReactPostgreSQLCHMED16AHIN-readyProPharma/HCIGDPR/FADP
In depth: case study ↓

02 / AI platform workflow

AI Presentation & Reporting Automation

From data, documents and project status to reviewable management material

A repeatable workflow for AI-enabled reports, management summaries and presentations: connect data sources, define report logic, generate drafts, keep sources visible and build in approvals.

Why it matters

The value is not prompting; it is a controllable digital operating model: data & analytics, platform logic, adoption and responsible AI combine into auditable management material — relevant for medical, commercial, steering committees and executive updates.

What it proves

  • Describes reporting logic, sources, review and approvals as a repeatable process
  • Positions AI drafts with traceable assumptions instead of black-box outputs
  • Fits medical, commercial, steering committee and executive update workflows

Stack / context

AI/LLMMicrosoft 365SharePointCRM/ERP-readyData SourcesHuman ReviewGovernance
Learn more

02 / What we deliver

Building blocks for digital health and AI delivery.

Standalone or combined. Always with a concrete outcome that holds up in regulated day-to-day work.

01

AI Potential & Readiness Check

We find where AI has the biggest leverage — from reports through processes to knowledge — and how ready your data and governance are.

Use-case longlistReadiness assessment12-week roadmap

02

Digital health platforms

Regulated care and domain processes from standard to dispensing: e-prescription, CHMED16A, primary systems, privacy and dispensing flow, built cleanly.

Target picture & architectureDomain logic & integrationPrivacy-by-design

03

Reporting & presentation automation

Create AI reports and presentations automatically: data, documents and project status become reviewable drafts for management updates and monthly reports.

Connect data sourcesReport logicApproval flow
Learn more

04

Knowledge & AI assistants

Make data and documents usable: search, RAG and assistants on your own sources — with traceable, sourced answers.

Connect knowledge sourcesRAG/assistantSources & audit

05

Process & workflow automation

Connect operational workflows: intake, data and approvals become tasks, documents and handoffs to M365, CRM, ERP or specialist systems — controlled.

Process designSystem integrationHuman-in-the-loop

06

Governance & enablement

Safe, compliant AI use across the team: roles, data classes, training and adoption.

GuidelinesTrainingAdoption plan

Focus areas

Where I go deep

Senior, hands-on engagements for regulated health & life-sciences teams.

AI Sales Enablement for Pharma

Turn scattered CRM data and forgettable training into just-in-time, AI-generated pre-call intelligence — live in 90 days, compliant by design.

Learn more

Pharma Commercial AI Transformation

From fragmented data to a connected data foundation: MLOps/DataOps, governance, and a prioritised GenAI roadmap your commercial org can actually scale.

Learn more

Healthcare Interoperability

Defragment your ecosystem. Interoperability isn't a standards problem — it's a collaboration problem; I align stakeholders, data and incentives.

Learn more

03 / From strategy to adoption

Strategy, standards and data become a platform that gets used.

Not a slide project: understand, design, build and bring into daily use — with compliance and approvals from the start.

01

Diagnose & domain

Understand goals, standards, data landscape, stakeholders and regulatory requirements.

02

Architecture & solution

Design the target picture, data flows, AI/platform logic and compliance-by-design.

03

Build & integration

Build the platform, automations and interfaces: primary systems, M365, CRM/ERP or specialist systems.

04

Adoption & enablement

Rollout, training, governance and measurable usage — not shelfware.

Technology

Technology-open. Vendor-independent.

The right solution comes from requirements, not platform loyalty.

Optimise Microsoft

Microsoft 365TeamsOutlookSharePointPlannerPower Automate

Build sovereignly

InfomaniakkSuitekDriveopenDeskHostpointLinux

Build custom processes

ReactNext.jsPostgreSQLAPIsOpenAIAnthropic

Brand names describe technologies and platforms we can work with. They do not imply partnership, certification or recommendation without case-specific assessment.

04 / Proof · E-prescription & pharmacy

Moving e-health forward. Not talking it in circles.

An e-prescription portal is not about a nicer website. It is about translating Switzerland’s e-health strategy and the spirit of DigiSanté into real patient and pharmacy workflows: QR code, CHMED16A data, guided ordering, privacy, primary systems and dispensing.

View live → rezeptportal.platz.ch
Before
  • -Many people do not know the difference between a QR code and an e-prescription: patients and doctors alike
  • -The process behind the prescription remains unclear for practices and patients
  • -The simple ordering and dispensing flow is missing
After
  • The e-prescription is no longer a concept; it becomes a working care process
  • Patients and practices experience the benefit of the e-prescription
  • Dispensing status becomes visible already during online ordering
  • Pickup or delivery is captured directly in the flow
Tech-StackNext.jsReactPostgreSQLCHMED16AHIN-verification-readyProPharma/HCI integrationPrivacy-by-design

↳ Transfer

What this means for regulated organisations

If a sensitive pharmacy process can be built cleanly from QR code, domain logic and privacy through to dispensing, medical, commercial and care workflows can be built too: standard in, data enriched, approval captured, auditable outcome and handoff triggered.

Portal
Process logic
Privacy
External systems

05 / Who is behind it

Experience from an environment where mistakes are expensive.

Healthcare taught us how to handle data, processes and regulation cleanly. That same discipline makes AI safely usable in health and life sciences.

Frank Eisenlohr leads delivery: over 20 years in digital transformation, most recently an e-prescription and dispensing process for a Swiss pharmacy with CHMED16A processing, privacy-by-design and primary-system integration. Strategic consulting for hospitals, pharma and medtech, data-driven rather than slide-driven.

Expertise

  • Digital transformation
  • Healthcare IT & SaMD
  • Programme & project delivery
  • Generative AI, LLMs & AI governance

Academic

  • BS Pharmaceutical Sciences · ETH Zurich
  • MS Physical Education · ETH Zurich
  • MA Digital Management · Hyper Island London
  • Executive Education · MIT
Frank Eisenlohr

Frank Eisenlohr

Delivery Lead

Insights

Field notes on AI in regulated health

Short, practical reads on where AI actually moves the needle for health and life-sciences teams.

All insights

Article

Fixing healthcare fragmentation

Read

Article

AI for pharma sales training

Read

Article

Supercharge pharma operations with AI

Read

30 minutes. One plan. No pitch.

Book a potential checkfrank.eisenlohr@digital4.health