Springer LNCS
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Perlich, A., Meinel, C.: Juggling Doctor and Patient Needs in Mental Health Record Design.Informatics Empowers Healthcare Transformation (2017).
Providing patients access to mental health records is a controversial topic that gains growing attention in research and practice. While it has great potential in increasing the patient engagement, skepticism is prevailing among therapists who fear detrimental effects and face a lack of feasibility when treatment notes are handwritten. We aim at empowering both therapists to new documentation approaches and patients to higher engagement, and develop the collaborative documentation system Tele-Board MED (TBM) as an adjunct to talk-based mental health interventions. We present an evaluation of TBM by comparing four prototypes and testing scenarios, reaching from early simulations to attempts of real-life implementations in clinical routines. This paper delivers a systematic need comparison of therapists as primary users and patients as secondary users, both during and beyond treatment sessions. While patient feedback is thoroughly positive, the therapist needs are only partially addressed; the benefits remain hidden behind the perceived effort.
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AbstractProviding patients access to mental health records is a controversial topic that gains growing attention in research and practice. While it has great potential in increasing the patient engagement, skepticism is prevailing among therapists who fear detrimental effects and face a lack of feasibility when treatment notes are handwritten. We aim at empowering both therapists to new documentation approaches and patients to higher engagement, and develop the collaborative documentation system Tele-Board MED (TBM) as an adjunct to talk-based mental health interventions. We present an evaluation of TBM by comparing four prototypes and testing scenarios, reaching from early simulations to attempts of real-life implementations in clinical routines. This paper delivers a systematic need comparison of therapists as primary users and patients as secondary users, both during and beyond treatment sessions. While patient feedback is thoroughly positive, the therapist needs are only partially addressed; the benefits remain hidden behind the perceived effort.
Shaabani, N., Meinel, C.: Incremental Discovery of Inclusion Dependencies.Proceedings of the 29th International Conference on Scientific and Statistical Database Management (SSDBM'17). p. 2:1--2:12. ACM (2017).
Inclusion dependencies form one of the most fundamental classes of integrity constraints. Their importance in classical data management is reinforced by modern applications such as data profiling, data cleaning, entity resolution and schema matching. Their discovery in an unknown dataset is at the core of any data analysis effort. Therefore, several research approaches have focused on their efficient discovery in a given, static dataset. However, none of these approaches are appropriate for applications on dynamic datasets, such as transactional datasets, scientific applications, and social network. In these cases, discovery techniques should be able to efficiently update the inclusion dependencies after an update in the dataset, without reprocessing the entire dataset. We present the first approach for incrementally updating the unary inclusion dependencies. In particular, our approach is based on the concept of attribute clustering from which the unary inclusion dependencies are efficiently derivable. We incrementally update the clusters after each update of the dataset. Updating the clusters does not need to access the dataset because of special data structures designed to efficiently support the updating process. We perform an exhaustive analysis of our approach by applying it to large datasets with several hundred attributes and more than 116,200,000 million tuples. The results show that the incremental discovery significantly reduces the runtime needed by the static discovery. This reduction in the runtime is up to 99.9996 % for both the insert and the delete.
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AbstractInclusion dependencies form one of the most fundamental classes of integrity constraints. Their importance in classical data management is reinforced by modern applications such as data profiling, data cleaning, entity resolution and schema matching. Their discovery in an unknown dataset is at the core of any data analysis effort. Therefore, several research approaches have focused on their efficient discovery in a given, static dataset. However, none of these approaches are appropriate for applications on dynamic datasets, such as transactional datasets, scientific applications, and social network. In these cases, discovery techniques should be able to efficiently update the inclusion dependencies after an update in the dataset, without reprocessing the entire dataset. We present the first approach for incrementally updating the unary inclusion dependencies. In particular, our approach is based on the concept of attribute clustering from which the unary inclusion dependencies are efficiently derivable. We incrementally update the clusters after each update of the dataset. Updating the clusters does not need to access the dataset because of special data structures designed to efficiently support the updating process. We perform an exhaustive analysis of our approach by applying it to large datasets with several hundred attributes and more than 116,200,000 million tuples. The results show that the incremental discovery significantly reduces the runtime needed by the static discovery. This reduction in the runtime is up to 99.9996 % for both the insert and the delete.
Shaabani, N., Meinel, C.: Detecting Maximum Inclusion Dependencies without Candidate Generation.Database and Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part II. p. 118--133 (2016).
Inclusion dependencies (INDs) within and across databases are an important relationship for many applications in data integration, schema (re-)design, integrity checking, or query optimization. Existing techniques for detecting all INDs need to generate IND candidates and test their validity in the given data instance. However, the major disadvantage of this approach is the exponentially growing number of data accesses in terms of the number of SQL queries as well as I/O operations. We introduce Mind2, a new approach for detecting n-ary INDs (n > 1) without any candidate generation. Mind2 implements a new characterization of the maximum INDs we developed in this paper. This characterization is based on set operations defined on certain metadata that Mind2generates by accessing the database only 2 x the number of valid unary INDs. Thus, Mind2 eliminates the exponential number of data accesses needed by existing approaches. Furthermore, the experiments show that Mind2 is significantly more scalable than hypergraph-based approaches.
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AbstractInclusion dependencies (INDs) within and across databases are an important relationship for many applications in data integration, schema (re-)design, integrity checking, or query optimization. Existing techniques for detecting all INDs need to generate IND candidates and test their validity in the given data instance. However, the major disadvantage of this approach is the exponentially growing number of data accesses in terms of the number of SQL queries as well as I/O operations. We introduce Mind2, a new approach for detecting n-ary INDs (n > 1) without any candidate generation. Mind2 implements a new characterization of the maximum INDs we developed in this paper. This characterization is based on set operations defined on certain metadata that Mind2generates by accessing the database only 2 x the number of valid unary INDs. Thus, Mind2 eliminates the exponential number of data accesses needed by existing approaches. Furthermore, the experiments show that Mind2 is significantly more scalable than hypergraph-based approaches.
Perlich, A., Meinel, C.: Patient-provider teamwork via cooperative note taking on Tele-Board MED.Exploring Complexity in Health: An Interdisciplinary Systems Approach (Proceedings of MIE2016 at HEC2016) (2016).
There is significant, unexploited potential to improve the patients’ engagement in psychotherapy treatment through technology use. We develop Tele-Board MED (TBM), a digital tool to support documentation and patient-provider collaboration in medical encounters. Our objective is the evaluation of TBM's practical effects on patient-provider relationships and patient empowerment in the domain of talk-based mental health interventions. We tested TBM in individual therapy sessions at a psychiatric ward using action research methods. The qualitative results in form of therapist observations and patient stories show an increased acceptance of diagnoses and patient-therapist bonding. We compare the observed effects to patient-provider relationship and patient empowerment models. We can conclude that the functions of TBM – namely that notes are shared and cooperatively taken with the patient, that diagnostics and treatment procedures are depicted via visuals and in plain language, and that patients get a copy of their file – lead to increased patient engagement and an improved collaboration, communication and integration in consultations.
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AbstractThere is significant, unexploited potential to improve the patients’ engagement in psychotherapy treatment through technology use. We develop Tele-Board MED (TBM), a digital tool to support documentation and patient-provider collaboration in medical encounters. Our objective is the evaluation of TBM's practical effects on patient-provider relationships and patient empowerment in the domain of talk-based mental health interventions. We tested TBM in individual therapy sessions at a psychiatric ward using action research methods. The qualitative results in form of therapist observations and patient stories show an increased acceptance of diagnoses and patient-therapist bonding. We compare the observed effects to patient-provider relationship and patient empowerment models. We can conclude that the functions of TBM – namely that notes are shared and cooperatively taken with the patient, that diagnostics and treatment procedures are depicted via visuals and in plain language, and that patients get a copy of their file – lead to increased patient engagement and an improved collaboration, communication and integration in consultations.
Perlich, A., Sapegin, A., Meinel, C.: Implementation of Data Security Requirements in a Web-Based Application for Interactive Medical Documentation.Proceedings of the International Conference on Health Informatics (HealthInf 2015) (2015).
Keeping data confidential is a deeply rooted requirement in medical documentation. However, there are increasing calls for patient transparency in medical record documentation. With Tele-Board MED, an interactive system for joint documentation of doctor and patient is developed. This web-based application designed for digital whiteboards will be tested in treatment sessions with psychotherapy patients and therapists. In order to ensure the security of patient data, security measures were implemented and they are illustrated in this paper. We followed the major information security objectives: confidentiality, integrity, availability and accountability. Next to technical aspects, such as data encryption, access restriction through firewall and password, and measures for remote maintenance, we address issues at organizational and infrastructural levels as well (e.g., patients’ access to notes). With this paper we want to increase the awareness of information security, and promote a security conception from the beginning of health software research projects. The measures described in this paper can serve as an example for other health software applications dealing with sensitive patient data, from early user testing phases on.
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AbstractKeeping data confidential is a deeply rooted requirement in medical documentation. However, there are increasing calls for patient transparency in medical record documentation. With Tele-Board MED, an interactive system for joint documentation of doctor and patient is developed. This web-based application designed for digital whiteboards will be tested in treatment sessions with psychotherapy patients and therapists. In order to ensure the security of patient data, security measures were implemented and they are illustrated in this paper. We followed the major information security objectives: confidentiality, integrity, availability and accountability. Next to technical aspects, such as data encryption, access restriction through firewall and password, and measures for remote maintenance, we address issues at organizational and infrastructural levels as well (e.g., patients’ access to notes). With this paper we want to increase the awareness of information security, and promote a security conception from the beginning of health software research projects. The measures described in this paper can serve as an example for other health software applications dealing with sensitive patient data, from early user testing phases on.
Shaabani, N., Meinel, C.: Scalable Inclusion Dependency Discovery.Proceedings of the 20th International Conference of Database Systems for Advanced Applications (DASFAA2015). pp. 425-440. Springer (2015).
Inclusion dependencies within and across databases are an important relationship for many applications in anomaly detection, schema (re-)design, query optimization or data integration. When such dependencies are not available as explicit metadata, scalable and efficient algorithms have to discover them from a given data instance. We introduce a new idea for clustering the attributes of database relations. Based on this idea we have developed S-indd, an efficient and scalable algorithm for discovering all unary inclusion dependencies in large datasets. S-indd is scalable both in the number of attributes and in the number of rows. We show that previous approaches reveal themselves as special cases of S-indd. We exhaustively evaluate S-indd's scalability using many datasets with several thousands attributes and rows up to one million. The experiments show that S-indd is up to 11x faster than previous approaches.
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AbstractInclusion dependencies within and across databases are an important relationship for many applications in anomaly detection, schema (re-)design, query optimization or data integration. When such dependencies are not available as explicit metadata, scalable and efficient algorithms have to discover them from a given data instance. We introduce a new idea for clustering the attributes of database relations. Based on this idea we have developed S-indd, an efficient and scalable algorithm for discovering all unary inclusion dependencies in large datasets. S-indd is scalable both in the number of attributes and in the number of rows. We show that previous approaches reveal themselves as special cases of S-indd. We exhaustively evaluate S-indd's scalability using many datasets with several thousands attributes and rows up to one million. The experiments show that S-indd is up to 11x faster than previous approaches.
Perlich, A., Meinel, C.: Automatic Treatment Session Summaries in Psychotherapy – a Step towards Therapist-Patient Cooperation.Proceedings of the International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH2015) (2015).
Therapeutic documentation is a crucial part in psychotherapy and should first and foremost support the patient’s therapy progress. Yet, the notes taken throughout a therapy, mainly serve the use of therapists. In line with the movement of patient empowerment, the calls for patients’ access to their records are growing louder and were incorporated into the German patients’ rights law. Hence, with Tele-Board MED, an interactive system for joint documentation of therapist and patient was developed. In this paper, we introduce one of its many features: the automatic creation of treatment session summaries. Our contribution also consists of the evaluation of its potential for practical use by psychotherapists. The aim of our work is twofold, namely the involvement of patients in the documentation, and the support of therapists with their documentation duties. The aspects of investigation include the therapists’ documentation habits (regarding time, amount, and method), their purposes to manually create session summaries and opinion about the automatically created summaries. It was discovered that the bigger part of the motivation for treatment session documentation lies in the therapists’ personal purposes, such as remembering a case right before the next session. Nevertheless therapists are willing to turn documentation in a cooperative activity if they had effective and efficient tools at hand. With the system presented, they can well imagine summarizing important issues together with the patient at the end of a session and also handing out printed summaries to them.
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AbstractTherapeutic documentation is a crucial part in psychotherapy and should first and foremost support the patient’s therapy progress. Yet, the notes taken throughout a therapy, mainly serve the use of therapists. In line with the movement of patient empowerment, the calls for patients’ access to their records are growing louder and were incorporated into the German patients’ rights law. Hence, with Tele-Board MED, an interactive system for joint documentation of therapist and patient was developed. In this paper, we introduce one of its many features: the automatic creation of treatment session summaries. Our contribution also consists of the evaluation of its potential for practical use by psychotherapists. The aim of our work is twofold, namely the involvement of patients in the documentation, and the support of therapists with their documentation duties. The aspects of investigation include the therapists’ documentation habits (regarding time, amount, and method), their purposes to manually create session summaries and opinion about the automatically created summaries. It was discovered that the bigger part of the motivation for treatment session documentation lies in the therapists’ personal purposes, such as remembering a case right before the next session. Nevertheless therapists are willing to turn documentation in a cooperative activity if they had effective and efficient tools at hand. With the system presented, they can well imagine summarizing important issues together with the patient at the end of a session and also handing out printed summaries to them.
L., V., C., J., Ch, M.: Security Requirements for Telemedical Applications regarding DICOM-image-management in a PACS.Europacs 2002 , Oulu Finnland, Niinimäki J., Ilkko E., Reponen I., Oulu University Press (2002).
Vorwerk, L., Jiang, C., Meinel, C.: Application for Repairing and Presenting DICOM Objects.Proceedings of the 2002 International Conference on Application for Repairing and Presenting DICOM Objects (IMSA 2002). pp. 318-323. DBLP Press, Kauai, Hawaii, USA (2002).
Vorwerk, L., Jiang, C., Meinel, C.: Secure Transfer of Digital Images and Related Data.Proceedings of the 11th International World Wide Web Conference (WWW 2002). W3C, Hawaii, USA (2002).
Vorwerk, L., Meinel, C.: A Practical Approach to Store DICOM-conform Presentation of Radiological Images.Proceedings of SPIE Medical Imaging Conference (MedicalImaging 2002). pp. 299-306. SPIE Press, San Diego, USA (2002).
Jiang, C., Vorwerk, L., Meinel, C.: Deformation and Construction of 3-D Medical Image.Proceedings of International Conference on Diagnostic Imaging and Analysis(ICDIA 2002). pp. 48-53. , Shanghai, China (2002).
Jiang, C., Vorwerk, L., Meinel, C.: Standardizing DICOM File and Rendering 3-D Medical Image.Proceedings of the 20th EuroPACS annual meeting (EuroPACS 2002). p. 225. Oulu University Press, Oulu, Finland (2002).
Vorwerk, L., Meinel, C.: Security in Healthcare: An Overview.Proceedings of New Aspects of High Technology in Medicine (secinHealth 2000). pp. 455-458. , Hannover, Germany (2000).
Khludov, S., Vorwerk, L., Meinel, C.: Internet-Orientated Medical Information System for DICOM-Data Transfer, Visualization and Revision.Proc. CBMS 2000, Houston (Texas, USA), 2000. pp. 293-296 (2000).
Meinel, C., Vorwerk, L., Engel, T.: Trustcenter und Multifunktionskarten.Proc.ONLINE 2000, Düsseldorf (Germany), 2000. pp. C410.03 - C410.12.. , Duesseldorf, Germany (2000).
Vorwerk, L., Meinel, C.: A Multimedia-Editor for Making Findings in Radiology.Proc. CBMS 2000, Houston (Texas, USA), 2000. pp. 297-302. , USA (2000).
Vorwerk, L., Hludov, S., Meinel, C.: Concept for Increased Security for Internet/Intranet-Based Administration of Patient Data.Proc. WSCG 2000, Plzen (Czech Republic), 2000 (2000).
Vorwerk, L., Engel, T., Meinel, C.: A Proposal for a Combination of Compression and Encryption.Proc.SPIE Visual Communications and Image Processing, Perth (Australia). pp. 694-702 (2000).
Vorwerk, L., Meinel, C.: Integration of TLS in an Intern/Intranet/based Application.Proc.MEDICOM 2000, Remagen, (Germany), 2000. pp. 143-149. , Perth, Australia (2000).
Vorwerk, L., Hludov, S., Meinel, C.: Constructing a Secure HIPACS with Structured Reporting.Proc. WSCG 2000, Plzen (Czech Republic), 2000. , San Diego (USA) (2000).