Digital Practice Kickstart: Strategy, Competence, and Core Systems

This lesson focuses on digitale Reife (digital maturity), which is identified as a central aspect of digitalization in medical practices. Measuring digital maturity provides a necessary strategic foundation for effective transformation.

The module emphasizes that digital maturity is required on both the individual and systemic levels to ensure sustainable digital transformation in the healthcare sector.

We explore the utility of Reifegradmodelle (Maturity Models), which serve as practical tools to evaluate the progress of technology utilization and facilitate the identification of targeted improvements. These models are fundamentally based on the assumption that individuals, organizations, and processes evolve through structured developmental phases toward higher levels of maturity.

Furthermore, the lesson highlights the complexity of measuring this concept, noting that digital maturity is a multidimensional construct that encompasses human, organizational, and technical factors. For accurate measurement in outpatient care, models should be multifaceted and specifically account for externe Rahmenbedingungen (external influencing factors). Key dimensions of digital maturity discussed include:

Praxispersonal (practice personnel)

Organisatorische Strukturen und Regeln (organizational structures and rules)

Technische Infrastruktur (technical infrastructure)

Digital unterstützte Prozesse (digitally supported processes)

This lesson provides the strategic methodology necessary to benchmark a practice's current digital standing and plan future integration efforts systematically.

This lesson provides a detailed analysis of the structured progression required for systematically introducing digital services, referred to as the "Etappen zur digitalen Praxis" (stages to a digital practice). Understanding these stages serves effective planning and integration.

The transformation process typically advances through four key phases:

Initialisation (Initialisierung): This phase involves establishing the fundamental technical basis for the practice, such as acquiring necessary hardware and setting up internet access.

Implementation (Implementierung): Following the technical foundation, this stage focuses on introducing central core systems. This includes setting up electronic health records (e.g., ePA) and establishing interfaces to external service providers, such as laboratories or pharmacies.

Integration and Optimisation (Integration und Optimierung): In this stage, the practice introduces advanced digital tools, such as the E-Rezept (e-prescription) or Telemedicine, while simultaneously reorganizing and optimizing internal operational processes.

Digital Maturity (Digitale Reife): The final stage is reached when the practice utilizes interoperable systems and benefits from automated workflows, maximizing efficiency and integration.

The sources indicate that while the general pattern moves from infrastructure to core systems, followed by advanced applications and finally, networked automation, there is variability in how practices advance; for instance, smaller practices often digitalize sequentially, while larger ones may integrate these steps in parallel.

This lesson presents the structured four-step process (Softwareeinführung Ablaufplan) necessary for the successful introduction and integration of new digital systems into the daily operations of a practice. This systematic approach ensures that the implementation moves beyond mere installation to achieve routine, effective use.

The four phases of the plan are:

Idea (Idee): This initial phase focuses on strategic necessity and planning. Key activities involve performing a needs analysis (Bedarfsanalyse), conducting market research, and creating a project plan.

Preparation (Vorbereitung): This phase establishes the administrative and security foundations before procurement. Essential tasks include evaluating providers and demos (Anbieter & Demo), formal budget planning (Budgetplanung), and clearly defining data protection requirements (Datenschutzanforderungen).

Integration (Integration): This is the core roll-out phase. It involves the installation and setup (Installation & Einrichtung) of the new system, staff training (Schulung der Mitarbeiter), and a crucial testing phase with feedback (Testphase & Feedback) to iron out issues before live use.

Transfer (Transfer): This final stage moves the practice to operational utilization. Steps include signing the contract (Vertrag abschließen), migrating legacy data (Altdaten migrieren), and finally, initiating the start of routine use (Start der Alltagsnutzung).

By following the steps, practices can mitigate implementation hurdles and ensure a smoother transition to new software.

This lesson moves from strategic planning to the practical integration of digital tools, focusing on how technology optimizes existing practice processes and the support structures essential for maintaining functionality.

The module explores Digitalisation of Processes (Digitalisierung von Prozessen), illustrating how digital aids can be strategically integrated into routine clinical workflows to enhance efficiency. An example is provided by the process of blood collection (Blutentnahme), demonstrating the use of digital support across multiple steps, including efficient appointment scheduling (Terminvereinbarung), patient registration, and the secure transmission of result feedback (Rückmeldung).

A critical component of the Implementation phase is reliable external support. The lesson defines the role of the Dienstleister vor Ort (DVO), or Local Service Providers, who serve as the primary contacts for IT implementation within the practice. Their key responsibilities include:

Technical Support: Providing hands-on assistance and technical tasks, such as the installation of necessary connectors and card terminals.

TI Connectivity: Ensuring the medical facility is successfully connected to the Telematikinfrastruktur (TI).

By defining the effective support mechanisms and showcasing practical examples of process digitalization, this lesson ensures participants understand how to translate strategic goals into tangible, efficient daily operations.

This lesson focuses on defining and structuring the necessary Digitale Kompetenz (digital competence) required for healthcare professionals to effectively navigate the digital transformation.

The module establishes that the shift to digital healthcare necessitates professionals possess skills beyond traditional MINT competencies (such as IT literacy and data management). Required domain-specific abilities include:

Digital communication.

Ethisch-rechtliche Kenntnisse (ethical-legal knowledge).

Patient-centered technology use.

Secure integration of digital solutions into care.

Knowledge of electronic health records, telemedicine, AI, and data protection.

Social and adaptive competencies.

To systematically integrate these requirements into education and training, this lesson introduces several key competency models:

The DECODE-Framework: This is an international, consensus-based model specifically developed for digital health competencies in medical education. Developed due to the rapid digitalization and a lack of structured education, the DECODE-Framework outlines 19 competencies organized across four main domains. These domains include Professionalism in Digital Health, Patient- and Population-Related Digital Health, and Health Information Systems and Health Data Science.

The BÄK-Curriculum: The Bundesärztekammer (BÄK) Curriculum "Digitalization in Healthcare" provides competencies for practicing physicians. It comprises an 8-hour basic module covering eHealth applications (like the Telematikinfrastruktur, telemedicine, and medical apps) and a 16-hour advanced module on complex topics such as interoperability, data protection, knowledge management, and ethical aspects. Its objective is to optimize processes, communication, and patient care.

Referential Models: Other models, such as the CENS Digital Health Competency Model, define an extensive set of 103 competencies across nine domains for various user groups (e.g., clinicians, IT specialists, and decision-makers). For clinical users specifically, this framework details 28 core competencies covering areas such as change management, interoperability, decision support, and ethical-legal aspects.

By studying these frameworks, participants gain a structured understanding of the extensive competencies needed for safe, efficient, and ethical digital practice.

This lesson examines the effective methodologies for transferring digital skills and competencies within the medical practice setting, which is essential for successful technological implementation.

Effective knowledge transfer relies on multimodal, interactive learning methods. These methods include: In-person training, E-Learning, Blended-Learning, and Peer-Learning. The use of case studies and simulations. 

Studies show that Peer-approaches enhance motivation, self-confidence, and the transfer of learning into practice. Furthermore, highly effective knowledge transfer requires combining formal structures with informal, utility-oriented, and context-sensitive exchange processes.

The lesson specifically covers the formats and efficacy of targeted training:

Blended-Learning approaches are recommended, as structured blended-learning training has been shown to significantly increase knowledge about central aspects of digitalisation among practicing physicians.

Specific training programmes must be based on existing competency catalogues and incorporate adequate practical demonstrations and interactive elements to be successful.

The use of simulations is highly recommended to prepare staff for data-driven patient communication and to train clinical skills. For instance, AI-supported training systems (like ASCE or DocSimulator) used for objective structured clinical examinations (OSCE) have demonstrated significantly higher OSCE scores and reduced anxiety compared to traditional methods.

Finally, the module introduces the instrumental role of the Lotsen (navigators) who act as a crucial link between technology and the team by moderating learning processes and adapting digital tools to the specific needs of the practice.

This lesson provides a deep dive into the specialized function of the Digitalisierungsbeauftragte ("Digi-Manager"), a role for accelerating and sustaining the digital transformation in outpatient care. This function bridges the gap between new technology and routine daily practice.

The primary role of the Digitalisation Officer is to implement digitalisation strategies and serve as the central contact point for all digital processes within the medical or psychotherapeutic practice. The module explores the structured training and competence development necessary for this position:

Training Objectives and Scope: Certificate courses designed for non-physician practice personnel, such as the program offered by KVWL, are extensive, covering 205 hours of instruction.

Core Curriculum: Theoretical modules emphasize critical areas such as data protection, the Telematikinfrastruktur (TI), and digital communication.

Practical Application: To ensure practical relevance, training often includes hands-on application, such as participating in practical sessions within a digital model practice (e.g., the "dipraxis"). Trainees are typically required to create a practice-specific digitalisation strategy utilizing a digital maturity model.

Measured Impact on Competence: Longitudinal evaluations of these certificate courses demonstrate significant improvements in the digital competence of participating staff. Specifically, the training leads to enhanced skills in four key areas: Cognitive competencies. Technical competencies. Ethical competencies. Health information-related competencies.

Participants also reported a significant increase in their self-confidence when handling technology after completing the course. These findings underscore the necessity of targeted training programmes for strengthening digital competence and utilizing advanced tools.

This final competence lesson introduces the meta-level guiding principles (Leitprinzipien) that define the design philosophy and strategic application of digital technologies in medical practices, serving as a compass for navigating digital applications in the outpatient sector. These principles move beyond mere technical compliance to focus on practical efficiency, user safety, and continuous improvement. The central principles for secure and efficient IT use include:

Evidence and Safety First: Practices must check evidence (Evidenz prüfen) by analyzing current studies and data regarding the impact of digital solutions on patients, staff, and the community. The paramount goal is to ensure that harm is avoided (Schaden vermeiden steht an erster Stelle).

Prioritize Solutions at Hand: Before implementing complex applications, practices should prioritize simple solutions (einfache Lösungen). This involves fully utilizing existing software and fixing existing deficits. It is important to remember that Artificial Intelligence (KI) is just one tool among many, and other means may be superior.

Provide Test Environments: To minimize difficulties and errors in productive environments while promoting competence development, it is essential to provide secure and realistic test environments (Testumgebungen) or sandboxes for risk-free learning and trying out new technologies and processes.

Systematically Manage Errors: Staff must accept and systematically manage software errors by analyzing them, breaking them into sub-problems, and resolving them. This includes independently researching help, possibly in user forums.

Ensure Secure and Asynchronous Communication: Practices should use encrypted messenger services instead of unencrypted emails and provide patients with secure access routes. For communication, written asynchronous communication is generally preferred over spoken synchronous communication, especially for less urgent content, as it allows for reflection and transparency (supported by tools like text-to-speech and language models).

Adopt Standards and Learn from Data: Generally recognized standards should be preferred over individual practice rules to ensure compatibility and efficiency. Furthermore, practices must learn from practice data (Aus Praxisdaten lernen) by systematically collecting and using existing data to optimize workflows and quality of care.

Pragmatism and Inclusion: The principle "Digital when possible, analog when necessary" (Digital wenn möglich, analog wenn nötig) acknowledges that digital tools may fail or not be easy for all people to use, necessitating the availability of analog alternatives. Both staff and patients must be actively involved in the secure use of digital technologies and guided in their application.

This introductory lesson to the core technological systems of the digital practice focuses on Praxisverwaltungssoftware (PVS), which is crucial for efficiency and quality in healthcare provision.

Evolution and Functionality of PVS: The module traces the history of PVS, which began in the 1980s when physicians sought efficient methods for administration. Early systems focused primarily on basic administrative tasks, such as patient management and billing, aiming to reduce bureaucracy and move towards a paperless practice. Modern PVS solutions have evolved far beyond this, integrating essential functions mandated by digitalization, including the Telematikinfrastruktur (TI). Contemporary PVS emphasizes user-friendliness, offering Telemedicine functions, and supporting integration with Digital Health Applications (DiGA). The market trend is shifting from local desktop solutions to flexible, cloud-based, and web-based systems.

Measuring System Quality and User Experience: To assess the effectiveness and usability of PVS, standardized tools are utilized, as outlined in the curriculum. This lesson introduces three key metrics:

System Usability Scale (SUS): The SUS is specifically designed to measure the user-friendliness (usability) of software or an application. It consists of ten questions and yields a score between 0 and 100, where higher values indicate better usability.

Net Promoter Score (NPS): In contrast to the SUS's focus on usability, the NPS measures customer satisfaction and loyalty by assessing the probability that a customer would recommend the company or service.

TI-Score: This specialized score classifies software based on criteria regarding compliance with applications of the Telematikinfrastruktur (TI). The TI-Score aims to increase transparency and make the compliance of PVS with TI applications (like the E-Rezept or ePA) visible to all healthcare stakeholders.

This lesson focuses on the Office Electronic Health Record and the Elektronische Patientenakte (ePA), the central, cross-sectoral component of digital healthcare infrastructure, and its practical application in outpatient settings.

The core of this module is explaining the Nutzen Digitaler Patientenakten (benefits of digital patient records). Studies show that the introduction of the ePA and similar electronic systems has changed the workflow of medical practices. The primary benefits include improving documentation, coordination, and communication within the healthcare system.

However, the effective utilization of these systems remains a challenge. The lesson identifies essential resources available to support the implementation and proper use of the ePA in medical practices:

KBV (Kassenärztliche Bundesvereinigung) Resources: The KBV provides comprehensive materials, including a starter package with a service booklet, information sheet, diagram, and materials like posters and patient information for waiting rooms. They also offer an online training course, which awards CME points, covering the medical, legal, and technical aspects of the ePA.

Gematik Resources: The Gematik provides a free information package (digitales Infopaket) for practices, pharmacies, clinics, and nursing facilities. This package includes posters, flyers, and cheat sheets to educate patients about the use and benefits of the ePA.

By utilizing these resources, practices can better navigate the technical and operational aspects of the ePA, moving toward optimizing the quality and coordination of care.

This lesson analyzes the Implementierungshürden (implementation hurdles) that practices encounter when introducing local electronic patient records (EHR) or the national electronic patient files (ePA). While the electronic patient record has the potential to improve documentation, coordination, and communication, its effective utilization remains a challenge. The module distinguishes between the specific obstacles faced by practices based on their starting position:

Paper-Based Practices: The primary hurdles for practices transitioning directly from paper included the need for adequate hardware (such as workstations and printers) and the requirement for an on-site IT expert. These practices also struggled with a lack of IT familiarity and difficulties adapting their workflows to a paperless system. Furthermore, they anticipated a loss of productivity during the conversion process.

Already Digitalized Practices: Practices that were already using an electronic system but transitioning to a new EHR faced a different set of obstacles. Their main challenges were resistance to switching from a familiar system, insufficient technical training, and a lack of ongoing support.

Regardless of their starting point, both types of practices struggled with issues related to productivity loss and general difficulties in adjusting to the new systems. The lesson also explores the profound challenge of suboptimal utilization after implementation:

Electronic Paper Records: Studies indicate that many users initially treated the electronic systems merely as "electronic paper records" ("elektronische Papierakten"). They often failed to utilize extended functions such as decision support, providing patient access to data, or practice reports.

Need for Optimization: This limited use often resulted from technological implementation limits, poor data quality within the records, and mangling of awareness regarding the system's full functions. To promote system optimisation, experts emphasise the ongoing necessity of comprehensive training and quality improvements.

This lesson focuses on the frontier of digital practice management: the integration of Artificial Intelligence (AI) and the adoption of advanced techniques for effiziente Dateneingabe (efficient data entry).

Integration of Language Models (LLMs) and AI Support: The module explores the Integration von Sprachmodellen (LLMs) (integration of language models) into electronic patient records. This technological integration is transforming administrative and clinical workflows.

Specific AI-driven applications covered include:

Automation and Support: AI-driven support tools, such as the medatixx-Copilot, are used to automate processes and provide staff with immediate answers to software-related questions. These tools are built using a knowledge base derived from existing handbooks and support inquiries, allowing them to function 24/7.

Documentation Tools (Ambient Scribes): The field of Ambient Scribe technology, which uses AI to automatically create clinical notes from conversations, is gaining traction to reduce the documentation burden on medical staff. Systems like x.scribe (developed in cooperation with Corti) record patient conversations, generate summaries, and structure documentation for import into practice software, with planned roll-out. Other solutions, like Eudaria, utilize the latest developments in Large Language Models (LLMs) to document automatically during the consultation.

Decision Support: AI supports diagnostic and therapeutic processes. Clinical Decision Support Systems (CDSS) analyze patient data using rule-based algorithms and machine learning to provide real-time, personalized recommendations.

Efficient Documentation Techniques: The lesson also addresses strategies to improve data quality and efficiency manually. A key focus is placed on overcoming challenges associated with effiziente Dateneingabe (efficient data entry). Research suggests that practice personnel often fail to fully utilize simple methods that drastically accelerate repetitive tasks, such as the consistent use of Tastaturkürzeln (keyboard shortcuts). For instance, studies have found that nursing staff could achieve significant time savings by using keyboard shortcuts.

By adopting both AI-powered automation and optimized input methods, practices can reduce the administrative workload and improve the quality and timeliness of clinical documentation.

This lesson addresses the essential strategies and underlying challenges related to effiziente Dateneingabe (efficient data entry) within Practice Management Software (PVS) and Electronic Health Record (EHR) systems.

The module emphasizes that effective digital practices require methods that accelerate repetitive tasks and minimize time spent on documentation, thereby supporting the overall goal of efficiency and quality in healthcare provision.

Key components of this lesson include:

Utilizing Keyboard Shortcuts (Tastaturkürzeln): The course content highlights that using keyboard shortcuts is an underutilized method capable of significantly boosting the efficiency of clinicians when using medical software. Research suggests that practice personnel, particularly Pflegekräfte (nursing staff), could achieve erhebliche Zeitersparnisse (significant time savings) by consistently employing these shortcuts.

Challenges in Adoption: Despite the clear advantages in speed and workflow optimization, experienced users often fail to fully transition to these more efficient methods. Studies show that users of graphical user interfaces (GUIs) frequently prefer less efficient tools, such as menus and icon toolbars, over keyboard shortcuts. This lack of adoption is attributed to insufficient awareness and missing visualization of the available shortcuts.

Impact of Typing Skills: The module also acknowledges that general digital literacy, specifically typing ability, affects efficiency. Typing speed varies significantly based on age, occupation, and specialization among healthcare workers, suggesting that older staff members and certain professional groups may be disadvantaged in an increasingly digital environment. This underscores the need for alternative input methods and targeted Trainingsmodule (training modules) to address these disparities.

By understanding and addressing the barriers to adopting techniques like keyboard shortcuts, practices can move toward truly efficient data entry, mitigating issues like increased workload often associated with EHR implementation.

The Digital Practice Kickstart: Final Certification Examination is designed to validate comprehensive knowledge and understanding of the strategic, technical, and human factors essential for successfully navigating the digital transformation within outpatient medical and psychotherapeutic practices. The examination covers four core thematic sections derived from the "Praxis-IT" content:

The Context of Digital Transformation: This section assesses the understanding of the complex healthcare environment, including the disruptive VUCA conditions (volatile, uncertain, complex, ambiguous), factors driving the Akzeptanz digitaler Technologien (acceptance of digital technologies), and the distinction between the two stages of the Digitale Trennung (Digital Divide). It also includes ethical concepts such as the OpenNotes initiative, which promotes transparency by sharing clinical documentation.

Strategy and Implementation: This segment evaluates knowledge of structured change management, focusing on the need for digitale Reife (digital maturity) at both individual and systemic levels. Covered topics include the Etappen zur digitalen Praxis (stages to a digital practice), from Initialisation to Integration und Optimierung, the duties within the 4-Step Software Implementation Plan (e.g., Vorbereitung tasks like budget planning and defining data protection requirements), and the critical support role of the Dienstleister vor Ort (DVO) in managing the Telematikinfrastruktur (TI).

Developing Digital Competence: This section focuses on the required digital skills for healthcare personnel. It includes knowledge of key competence frameworks, such as the DECODE-Framework, the effectiveness of multimodale, interaktive Lernmethoden (e.g., simulations, Blended-Learning), and the organizational improvements linked to the role of the Digitalisierungsbeauftragte ("Digi-Manager"). It also covers the Leitprinzipien (guiding principles) for secure IT use, such as providing Testumgebungen for risk-free learning.

Foundational IT Systems: PVS and Electronic Patient Records (ePA): This domain tests mastery of core technology, including methods for evaluating Practice Management Software (PVS) quality using standard metrics like the System Usability Scale (SUS) and the Net Promoter Score (NPS). Key concepts also include the implementation challenges for the elektronische Patientenakte (ePA), such as resistance to change and insufficient training experienced by already digitalised practices, and the integration of AI tools, like the medatixx-Copilot, for software support and process automation.

Passing Requirement: This certification examination is administered as a series of multiple-choice questions (MCQs). To successfully pass the final examination and receive certification, participants must achieve a minimum overall score of 50% (fifty per cent) of the total available points.