Kerstin Denecke

Kerstin Denecke
Bern University of Applied Sciences | BFH · Department of Engineering and Information Technology

Dr.

About

189
Publications
51,727
Reads
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2,163
Citations
Introduction
Kerstin Denecke currently works at the Institute for Medical Informatics, Bern University of Applied Sciences. She currently works on text mining in clinical context and mobile health applications including conversational user interfaces.
Skills and Expertise

Publications

Publications (189)
Article
Full-text available
Health care is shifting toward become proactive according to the concept of P5 medicine–a predictive, personalized, preventive, participatory and precision discipline. This patient-centered care heavily leverages the latest technologies of artificial intelligence (AI) and robotics that support diagnosis, decision making and treatment. In this paper...
Chapter
Providing urgent and emergency care to migrant children is often hampered or delayed. Reasons for this are language barriers when children, and their care givers, don’t speak any of the languages commonly spoken in Switzerland, which include German, French, Italian, and English. By a participatory design process, we want to develop a novel image-ba...
Chapter
In the medical domain, multiple ontologies and terminology systems are available. However, existing classification and prediction algorithms in the clinical domain often ignore or insufficiently utilize semantic information as it is provided in those ontologies. To address this issue, we introduce a concept for augmenting embeddings, the input to d...
Article
Objective: Social media is used in the context of healthcare, for example in interventions for promoting health. Since social media are easily accessible they have potential to promote health equity. This paper studies relevant factors impacting on health equity considered in social media interventions. Methods: We searched for literature to identi...
Article
Objective: Social media is used in the context of healthcare, for example in interventions for promoting health. Since social media are easily accessible they have potential to promote health equity. This paper studies relevant factors impacting on health equity considered in social media interventions. Methods: We searched for literature to identi...
Chapter
Conversational agents (CA) are chatbot-based systems supporting the interaction with users through text, speech, or other modalities. They are used in an increasing number of medical use cases. Even though usability is considered a prerequisite for the success of mHealth apps using CA, there is still no standard procedure to study usability of heal...
Article
Full-text available
Digital interventions for increasing physical activity behavior have shown great potential, especially those with social media. Chatbots, also known as conversational agents, have emerged in healthcare in relation to digital interventions and have proven effective in promoting physical activity among adults. The study’s objective is to explore user...
Chapter
Action observation (AO) and motor imagery (MI) are considered as promising therapeutic approaches in the rehabilitation of patients after a stroke (PaS). Observing and mentally rehearsing motor movements stimulate the motor system in the brain and result in a positive effect on movement execution. To support patients in the early rehabilitation pha...
Chapter
This paper presents a comparison of deep learning models for classifying P300 events, i.e., event-related potentials of the brain triggered during the human decision-making process. The evaluated models include CNN, (Bi | Deep | CNN-) LSTM, ConvLSTM, LSTM + Attention. The experiments were based on a large publicly available EEG dataset of school-ag...
Chapter
Language barriers hamper or delay delivery of urgent and emergency care to migrant children when they or their parents don’t speak any of the languages commonly spoken in Switzerland. In such situations, nurses often fall back to use ad hoc communication aids, including translation apps and visual dictionaries, to collect information about a patien...
Chapter
Background: Personal contact between radiologists and their patients is scarce due to time constraints and logistical reasons which impacts on patient knowledgeability and satisfaction, but also on examination and diagnostic quality. Objective: We illuminate medical history interviews from a radiologist's perspective and discuss its impact on th...
Article
Background In recent years, an increasing number of health chatbots has been published in app stores and described in research literature. Given the sensitive data they are processing and the care settings for which they are developed, evaluation is essential to avoid harm to users. However, evaluations of those systems are reported inconsistently...
Conference Paper
Full-text available
Fully automated self-help interventions integrated with social media chatbots could serve as highly cost-effective physical activity promotion tools for a large population. We have developed MYA, a Telegram-based chatbot for increasing physical activity. The objective of this study was to assess the usability of MYA. To identify usability issues, w...
Preprint
BACKGROUND Collecting information on the medical history of a patient is an important step during the diagnosing process. Besides the interrogation by the physician, computerized questionnaires are used to collect the data. To facilitate interaction, implementation of digital medical interview assistants (DMIA) using conversational user interfaces...
Article
Health chatbots interview patients and collect health data. This process makes demands on data security and data privacy. To identify how and to what extent security and privacy are considered in current health chatbots. We conducted a scoping review by searching three bibliographic databases (PubMed, ACM Digital Library, IEEExplore) for papers rep...
Chapter
Full-text available
With the help of artificial intelligence, the way humans are able to understand each other and give a response accordingly, is fed into the chatbot systems, i.e. into systems that are supposed to communicate with a user. The bot understands the user’s query and triggers an accurate response. In the healthcare domain, such chatbot based systems gain...
Chapter
Full-text available
To facilitate interaction with mobile health applications, chatbots are increasingly used. They realize the interaction as a dialog where users can ask questions and get answers from the chatbot. A big challenge is to create a comprehensive knowledge base comprising patterns and rules for representing possible user queries the chatbot has to unders...
Chapter
Full-text available
Research on artificial intelligence (AI) for healthcare gained interest in recent years. However, the use of AI in daily clinical practice is still rare. We created and distributed an online survey among professionals working within the health informatics field to explore their views. The provided answers were classified into referring or not to: 1...
Chapter
Full-text available
Ambient assisted living (AAL) technologies aim at increasing an individual’s safety at home by early recognizing risks or events that might otherwise harm the individual. A clear definition of safety in the context of AAL is still missing and facets of safety still have to be shaped. The objective of this paper is to characterize the facets of AAL-...
Article
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Background As a major public health crisis, the novel coronavirus disease 2019 (COVID-19) pandemic demonstrates the urgent need for safe, effective, and evidence-based implementations of digital health. The urgency stems from the frequent tendency to focus attention on seemingly high promising digital health interventions despite being poorly valid...
Chapter
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Experiences of war and persecution often lead to mental health problems, resulting in post-traumatic stress disorders. In this work, we design a digital platform that aims at helping refugees coming to Switzerland by providing exercises for their mental health and information about daily life in Switzerland. In collaboration with the Swiss Red Cros...
Chapter
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Practice efficiency is influenced by its operations management. We aim at studying implementation of operations management in Swiss medical practices and we develop a dashboard that allows controlling and managing resources. To study operations management and relevant indicators in ambulant care, we distributed questionnaires by e-mail and conducte...
Chapter
Full-text available
Background: Physicians spend a lot of time in routine tasks, i.e. repetitive and time consuming tasks that are essential for the diagnostic and treatment process. One of these tasks is to collect information on the patient's medical history. Objectives: We aim at developing a prototype for an intelligent interviewer that collects the medical his...
Article
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Objectives: Using participatory health informatics (PHI) to detect disease outbreaks or learn about pandemics has gained interest in recent years. However, the role of PHI in understanding and managing pandemics, citizens’ role in this context, and which methods are relevant for collecting and processing data are still unclear, as is which types of...
Article
Healthcare has been shifting toward individuals participating in decision-making and empowered to be active in their treatment, and health monitoring. The term “participatory health informatics” (PHI) started to appear in literature. A clear definition of PHI is missing, and facets of PHI still have to be shaped. The objective of this paper is to o...
Preprint
BACKGROUND To address the matter of limited resources for treating persons with mental disorders, eMental health gained in interest in the last years in particular for psychoeducation, or behavior change. Mobile health (mHealth) apps have been suggested as electronic mental health interventions, accompanying cognitive behavior therapy (CBT). OBJEC...
Article
Background: To address the matter of limited resources for treating persons with mental disorders, eMental Health gained in interest in the last years. More specifically, mobile health (mHealth) apps have been suggested as electronic mental health interventions, accompanying cognitive behavioral therapy (CBT). Objective: The current study aims to i...
Chapter
Cognitive behavior therapy for insomnia (CBT-I) is the first-line treatment for patients with insomnia disorder, including patients with severe mental disorders and comorbid insomnia. However, CBT-I is not sufficiently implemented in acute psychiatry settings. To make this treatment more accessible, we are currently adapting CBT-I to the needs of p...
Chapter
In emergency situations, every minute counts. Therefore, staff of emergency medical services (EMS) require easily accessible sources of information to organize and coordinate their work as quickly as possible. Digital dashboards can visualize various information at a glance and have thus potential to meet this need. We developed in cooperation with...
Conference Paper
Full-text available
Emergency medical services (EMS) assume a leading role in case of an emergency: They provide the professional preclinical care on site and decide on the further treatment of the patient. In order to trace the treatment process of the patient after a rescue operation, information such as drug administration are documented in an operation protocol. S...
Article
Full-text available
In healthcare settings, questionnaires are used to collect information from a patient. A standard method for this are paper-based questionnaires, but they are often complex to understand or long and frustrating to fill. To increase motivation, we developed a chatbot-based system Ana that asks questions that are normally asked using paper forms or i...
Conference Paper
Patient education aims at strengthening the competence and self-care capabilities of a patient. Through information brochures, movies, and websites or by asking questions, patients learn about diseases and treatment as a basis for their decision-making. However, their motivation to learn is often limited due to the complexity of content or signific...
Conference Paper
Full-text available
Background and objective: The number of publications on the use of chatbots for health is recently increasing, however to our knowledge, there are no publications summarizing what is known about using chatbots for public health yet. The objective of this work is to provide an overview of the existing scientific literature on the use of chatbots fo...
Article
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Case report forms (CRF) specify data definitions and encodings for data to be collected in clinical trials. To enable exchange of data definitions and in this way to avoid creation of variants of CRF for similar study designs, the Medical Data Model portal (MDM) has been developed since 2011. This work aims at studying the usability of the MDM port...
Article
Rehabilitation therapies after a serious accident or disease are usually repetitive and lengthy, requiring high motivation and adherence of the patients to achieve therapy goals. Moreover, the exercises are often painful leading to a decrease in motivation. Keeping motivation and adherence on a high level is even more challenging when the patient i...
Article
Emergency medical situations are characterized by high physical, cognitive and mental demands on the paramedics on the ground. Studies suggest that crucial information such as treatments administered to patients is often documented retrospectively, during patient transport or once a patient is handed over to an emergency department. Information acc...
Article
Application of conversational user interfaces (CUI) or chatbots to healthcare is gaining interest fueled by the rising power of artificial intelligence, increasing popularity of mobile health applications and the desire for engagement and usability. While their use is mainly justified by increasing adherence to mobile health applications and facili...
Article
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Objectives: To identify the different ethical issues that should be considered in participatory health through social media from different stakeholder perspectives (i.e., patients/service users, health professionals, health information technology (If) professionals, and policy makers) in any healthcare context. Methods: We implemented a two-round s...
Article
Full-text available
Background: Dialog agents (chatbots) have a long history of application in health care, where they have been used for tasks such as supporting patient self-management and providing counseling. Their use is expected to grow with increasing demands on health systems and improving artificial intelligence (AI) capability. Approaches to the evaluation...
Preprint
Full-text available
BACKGROUND Dialog agents (chatbots) have a long history of application in health care, where they have been used for tasks such as supporting patient self-management and providing counseling. Their use is expected to grow with increasing demands on health systems and improving artificial intelligence (AI) capability. Approaches to the evaluation of...
Article
Mental disorders are widespread in countries all over the world. Nevertheless, there is a global shortage in human resources delivering mental health services. Leaving people with mental disorders untreated may increase suicidal attempts and mortality. To address this matter of limited resources, conversational agents have gained momentum in the la...
Preprint
BACKGROUND Background: Chatbots have been exploited dramatically in the last decade to improve access to mental healthcare services. Patient attitudes influence the adoption of chatbots for healthcare. Many studies have been conducted to assess patients’ attitudes toward using chatbots for mental health. To the best of our knowledge, there has been...
Article
Full-text available
Background Chatbots have been used in the last decade to improve access to mental health care services. Perceptions and opinions of patients influence the adoption of chatbots for health care. Many studies have been conducted to assess the perceptions and opinions of patients about mental health chatbots. To the best of our knowledge, there has bee...
Chapter
Recent movements such as open data, crowdhealth, participatory surveillance, quantified self, or individuals becoming “data donors” have the potential to generate new findings about diseases, to improve diagnostics and deliver healthcare and treatment. This chapter provides insights into the topic of open data concerning healthcare. Examples will b...
Article
A risk factor for patient safety are communication failures among health professionals. Communication standards such as SBAR or ISBAR (situation, background, assessment, recommendation) aim at improving the exchange of information between health professionals by specifying a certain structure and content of information. However, those tools are not...
Article
Various reasons lead to non-adherence to drug therapy, such as forgotten reordering of medications or wrong intake behavior. Blind and visually impaired persons face additional challenges, such as recognizing the medication package or reading the package insert which additionally impacts on patient safety. To address these challenges, we developed...
Chapter
Durchgängige Informationsflüsse in den Behandlungsprozessen sind eine wesentliche Voraussetzung für Effizienz, Behandlungsqualität und Patientensicherheit. Aus Sicht der fiktiven Patientin „Elisabeth Brönnimann-Bertholet“ wird aufgezeigt, wie sich die digitale Transformation auf die Navigation des Patienten auf seinem Behandlungspfad auswirken kann...
Article
Lean management applied to healthcare aims at creating maximum value for patients by reducing waste and waits. It puts the patient's needs center stage, emphasizes employee involvement and continuous improvement. To realize this, visual tools such as the huddle board or the patient board are implemented in hospital wards. The boards are currently r...
Article
Perception of emotions and adequate responses are key factors of a successful conversational agent. However, determining emotions in a healthcare setting depends on multiple factors such as context and medical condition. Given the increase of interest in conversational agents integrated in mobile health applications, our objective in this work is t...
Conference Paper
The postoperative health status of an obesity patient indicates the outcome of the surgical treatment. By each postoperative revisit, physicians need to go through the previous patient records to recall the patient status and to evaluate the postoperative risk of readmission. In order to support in this process, we develop a method to extract indic...
Article
Full-text available
Objective: Artificial intelligence (AI) provides people and professionals working in the field of participatory health informatics an opportunity to derive robust insights from a variety of online sources. The objective of this paper is to identify current state of the art and application areas of AI in the context of participatory health. Methods:...
Article
Full-text available
Patients suffering from heart failure disease have to regularly measure and document health data such as weight and blood pressure. Currently, the data gets lost or is not recorded on a regular basis due to missing reminders and lack of motivation in patients. To address these problems, we introduce a concept for an electronic heart diary (EHD), a...
Article
In previous work, a mobile application for medication self-management (eMMA) was introduced. It contained a basic conversational user interface (CUI). In this work, we extended the CUI by integrating the chatbot framework RiveScript and an instruction interface. To study task success, dialog quality and efficiency, we performed a theoretical and a...
Article
Full-text available
New developments in healthcare require an increased disease self-management of patients. Intelligent digital assistants equipped with a conversational user interface are intended to support patients in this challenging task by providing reminders, answering questions, or supporting in self-monitoring tasks. In this paper, we study the potentials of...
Article
OBJECTIVE: Self-anamnesis is a procedure in which a patient answers questions about the personal medical history without interacting directly with a doctor or medical assistant. If collected digitally, the anamnesis data can be shared among the health care team. In this article, we introduce a concept for digital anamnesis collection and assess th...
Article
Clinical trials form the backbone of evidence-based medicine. They are indispensable tools that make it possible to compare medical interventions or test medical devices for their efficacy and safety. Each study design exactly defines which data is to be collected. Case report forms (CRFs) are used to document the collected data. Preparing CRFs is...
Article
The introduction of national electronic patient records such as the electronic patient dossier EPD in Switzerland provides a new basis for digitizing healthcare processes at a national level. One process however, that is currently neglected within the Swiss EPD, is the scheduling process in healthcare. The objective of this work is to analyze the a...
Article
Diabetes mellitus (DM) is a chronic disease that affects many people in Switzerland and around the world. Once diagnosed, a patient has to continuously monitor blood glucose, manage medications or inject insulin. Technical skills and competencies as well as knowledge on disease management have to be acquired right after being diagnosed. Diabetes co...
Article
In this paper, we examine requirements, show potential user interfaces and describe a prototypical development for a Pathway Navigator App that guides the patient through healthcare episodes. Our use case is a fictional patient requiring surgery for a hip total endoprosthesis. Fundamental is the provision of appointment information and the option t...
Article
Hip and knee joint prosthetic implants are common surgical interventions in Switzerland, as well as in other countries. Different care providers are involved in the care process which constitutes a potential risk of inefficiency and communication deficits. A patient can get lost on his cross-sectoral clinical pathway, miss appointments or underesti...
Article
Classification systems such as ICD-10 for diagnoses or the Swiss Operation Classification System (CHOP) for procedure classification in the clinical treatment are essential for clinical management and information exchange. Traditionally, classification codes are assigned manually or by systems that rely upon concept-based or rule-based classificati...
Article
Full-text available
Background : The Surveillance, Outbreak Response Management and Analysis System (SORMAS) is a mobile digital tool for surveillance and outbreak management covering 11 epidemic prone diseases (www.sormas.org) and currently being used in 15 federal states of Nigeria. We investigated usefulness and acceptability of SORMAS among users in health facilit...
Article
The electronic medication management assistant (eMMA) aims to empower patients to manage their medication and ask questions through a conversational user interface. In addition, eMMA supports a consistent flow of medication data among healthcare providers, reducing errors and increasing medication adherence.
Article
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Background: Legacy data and new structured data can be stored in a standardized format as XML-based EHRs on XML databases. Querying documents on these databases is crucial for answering research questions. Instead of using free text searches, that lead to false positive results, the precision can be increased by constraining the search to certain...
Article
Full-text available
A precise and timely care delivery depends on an efficient triage performed by primary care providers and smooth collaboration with other medical specialities. In recent years telemedicine gained increasing importance for efficient care delivery. It's use, however, has been limited by legal issues, missing digital infrastructures, restricted suppor...
Conference Paper
Normally, a physician is collecting a patient's medical history under time pressure during the initial patient interview. This leads to incomplete, erroneous data with negative effects on treatment and patient safety. The objective of this work is to introduce a concept for a self-anamnesis realized as a mobile application for patients. We implemen...
Article
Full-text available
Background: Since the beginning of the Ebola outbreak in West Africa in 2014, more than 11,000 people died. For outbreaks of infectious diseases like this, the rapid implementation of control measures is a crucial factor for containment. In West African countries, outbreak surveillance is a paper-based process with significant delays in forwarding...
Article
Full-text available
Background: Patients with diabetes can be affected by several comorbidities that require immediate action when occurring as they may otherwise cause fatal or consequential damage. For this reason, patients must closely monitor their metabolism and inject insulin when necessary. The documentation of glucose values and other relevant measurements is...
Research
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This document summarises practical hints and steps for enabling the development of Archetypes and Templates by the openEHR tools Clinical Knowledge Manager (CKM), Archetype Editor (AE) and Template Designer (TD). It is a suggestion and it is not intended to teach and document all functions of the tools, but it could be a good starting point for beg...
Article
Background: Discharge summaries are a standard communication tool delivering important clinical information from inpatient to ambulatory care. To ensure a high quality, correctness and completeness, the generation process is time consuming. It requires also contributions of multiple persons. This is problematic since the primary care provider need...
Article
Full-text available
During the West African Ebola virus disease outbreak in 2014-15, health agencies had severe challenges with case notification and contact tracing. To overcome these, we developed the Surveillance, Outbreak Response Management and Analysis System (SORMAS). The objective of this study was to measure perceived quality of SORMAS and its change over tim...
Article
Hip and knee joint prosthetic implants are common surgical interventions in Switzerland, as well as in other countries. Different care providers are involved in the care process which constitutes a potential risk of inefficiency and communication deficits. A patient can get lost on his cross-sectoral clinical pathway, miss appointments or underesti...
Article
Full-text available
Digital epidemiology, also referred to as digital disease detection (DDD), successfully provided methods and strategies for using information technology to support infectious disease monitoring and surveillance or understand attitudes and concerns about infectious diseases. However, Internet-based research and social media usage in epidemiology and...
Article
Background: Access to patient data within the hospital or between hospitals is still problematic since a variety of information systems is in use applying different vendor specific terminologies and underlying knowledge models. Beyond, the development of electronic health record systems (EHRSs) is time and resource consuming. Thus, there is a subs...
Conference Paper
Full-text available
In clinical decision making, information on the treatment of patients that show similar medical conditions and symptoms to the current case, is one of most relevant information sources to create a good, evidence-based treatment plan. However, the retrieval of similar cases is still challenging and automatic support is missing. The reasons are two-f...
Article
Background: Clinical information is often stored as free text, e.g. in discharge summaries or pathology reports. These documents are semi-structured using section headers, numbered lists, items and classification strings. However, it is still challenging to retrieve relevant documents since keyword searches applied on complete unstructured documen...