{"id":40163,"date":"2024-07-31T12:30:41","date_gmt":"2024-07-31T12:30:41","guid":{"rendered":"https:\/\/ibima.eu\/?p=40163"},"modified":"2025-03-06T09:47:49","modified_gmt":"2025-03-06T09:47:49","slug":"dadap","status":"publish","type":"post","link":"https:\/\/ibima.eu\/es\/dadap\/","title":{"rendered":"DADAP"},"content":{"rendered":"

[et_pb_section fb_built=\u00bb1″ _builder_version=\u00bb4.25.0″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_row _builder_version=\u00bb4.25.1″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_column type=\u00bb4_4″ _builder_version=\u00bb4.25.1″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_heading title=\u00bbDigitizing and Automating the Diagnostic psychiatric Assessment Process\u00bb _builder_version=\u00bb4.25.1″ _module_preset=\u00bbdefault\u00bb title_font=\u00bb||||||||\u00bb title_text_align=\u00bbcenter\u00bb title_text_color=\u00bb#0C71C3″ module_alignment=\u00bbcenter\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][\/et_pb_heading][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=\u00bb2_3,1_3″ _builder_version=\u00bb4.25.1″ _module_preset=\u00bbdefault\u00bb custom_padding=\u00bb30px||||false|false\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_column type=\u00bb2_3″ _builder_version=\u00bb4.25.0″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_text _builder_version=\u00bb4.27.0″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n

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Financed by<\/span><\/strong> :\u00a0<\/span>Consejer\u00eda de Salud y Consumo de la Junta de Andaluc\u00eda (CSCJA)<\/span><\/p>\n

Program<\/strong>: Transforming Health & Care Systems Programme: Joint Call 2023 \u201cHealthcare of the Future\u201d<\/span><\/p>\n

Project Reference: <\/b>FP-769<\/span><\/span><\/p>\n

Role in the project:<\/strong> Partner<\/span><\/p>\n

Duration:<\/b> July 2024 to June 2027\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

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Contact: Marina Romero Gonz\u00e1lez <\/span><\/p>\n

Implementation Centre: <\/span>Hospital Regional Universitario de M\u00e1laga\u00a0<\/a><\/p>\n

Research group of IBIMA involved: <\/span><\/span>Basic, Clinical, and Epidemiological Research in Mental Health<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=\u00bb1_3″ _builder_version=\u00bb4.25.0″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_post_title title=\u00bboff\u00bb meta=\u00bboff\u00bb image_height=\u00bb1000px\u00bb image_max_height=\u00bb263px\u00bb admin_label=\u00bbT\u00edtulo de publicaci\u00f3n\u00bb _builder_version=\u00bb4.27.0″ _module_preset=\u00bbdefault\u00bb title_font=\u00bbArial||||||||\u00bb title_text_align=\u00bbcenter\u00bb title_text_color=\u00bb#2ea3f2″ title_font_size=\u00bb35px\u00bb meta_text_align=\u00bbcenter\u00bb background_enable_color=\u00bboff\u00bb background_enable_image=\u00bboff\u00bb text_orientation=\u00bbcenter\u00bb width=\u00bb100%\u00bb max_width=\u00bb59%\u00bb module_alignment=\u00bbcenter\u00bb min_height=\u00bb100px\u00bb height=\u00bb100px\u00bb max_height=\u00bb100px\u00bb custom_margin=\u00bb7%||1%||false|false\u00bb title_font_size_last_edited=\u00bboff|desktop\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][\/et_pb_post_title][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u00bb4.25.1″ _module_preset=\u00bbdefault\u00bb custom_margin=\u00bb||-48px||false|false\u00bb custom_padding=\u00bb50px||50px||true|false\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_column type=\u00bb4_4″ _builder_version=\u00bb4.25.0″ _module_preset=\u00bbdefault\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_heading title=\u00bbABSTRACT\u00bb _builder_version=\u00bb4.25.1″ _module_preset=\u00bbdefault\u00bb title_font=\u00bb||||||||\u00bb title_text_color=\u00bb#0C71C3″ global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][\/et_pb_heading][et_pb_text _builder_version=\u00bb4.25.1″ _module_preset=\u00bbdefault\u00bb custom_margin=\u00bb0px||19px||false|false\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n

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The DADAP project aims to transform the diagnostic assessment process in the clinical care pathway of Child and Adolescent Psychiatry (CAP) by digitizing and automating it using an innovative AI-based solution which is explainable and that optimizes the delivery of health and care services across a multitude of different settings. In several recent national projects, Region V\u00e4stmanland (RV), a hospital in Sweden, has developed two innovative instruments for digitizing the psychiatric assessment process. The first one is the Electronic Psychiatric Intake Questionnaire (EPIQ) and second one is the Electronic Psychiatric Semi-Structured Interview for Children and Adolescents (EPSI-C), to screen, triage, prioritize, and diagnose patients. As a result of using these instruments, the throughput of patients at the hospital has increased by 130%. Despite this initial success, the overall information gathering is still time-consuming, and the lead time for care needs to be further reduced, particularly due to the escalating number of patients seeking care. Consequently, we have gathered a strong international consortium from Sweden, Spain, Norway, and Romania to firstly, expand the usage of the existing instruments to new countries by translating and adapting them. This first step will contribute to validation of the concept pilot studies which in turn increases the project data. Secondly, by automating the process (potentially down<\/span>
to 60% less manual work) using AI, we wish to increase the precision of diagnosis and treatment choices and improve patient satisfaction and trust in the healthcare system. We will verify whether we have achieved these goals in each pilot. Moreover, we estimate the social and economic impact of our proposed method in pilot countries. The DADAP project will also develop an AI-based screening and diagnosis system trained on standardized questions and<\/span>
answers from care seekers and their relatives, clinically validated assessments, and psychiatric diagnoses. The proposed system aims to find and ask the questions that most effectively lead to the best possible basis for the diagnosis and treatment selection, thereby improving the efficiency of several steps in the assessment process. The project expects to achieve several impact goals related to the United Nations\u2019 Agenda 2030, such as improved<\/span>
availability and reduced waiting times for healthcare, reduced work-related stress for healthcare workers, less subjective and biased diagnosis, equal access to efficient diagnosis regardless of social status or location, and<\/span>
reduced need for travel. This will contribute to a sustainable healthcare system that is future-proof. The success of this project could significantly benefit the societies it is deployed to by enabling healthcare systems to scale up and efficiently organize their operations, leading to better health outcomes, gender equality, decent work, economic growth, reduced inequality, and sustainable cities and communities.<\/span>
The DADPAP project\u2019s expected benefits include: – enhanced patient satisfaction, treatment, and trust in the healthcare system; – reduced stress of healthcare workers contributing to a healthier work environment; – increased efficiency and scalability of healthcare systems. <\/span><\/p>\n

The consortium has key expertise and experience for:<\/span><\/p>\n