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Interdisciplinary Care: The Health Care Team-I01:21

Interdisciplinary Care: The Health Care Team-I

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An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care.
Physicians
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Interdisciplinary Care: The Health Care Team-II01:18

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An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care. Here are a few more healthcare professionals.
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Introduction To Health Care Delivery System01:18

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The healthcare system is constantly changing and complex. Various services are available from different healthcare providers, but gaining access to these services has become challenging for people with limited healthcare insurance. Uninsured people present a challenge to healthcare because they frequently postpone or forego treatment.
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Traditional Level Of Health Care System01:26

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The levels of care describe the services provided in the healthcare system. Accordingly, there are six levels of the traditional healthcare system in the US: preventive, primary, secondary, tertiary, restorative, and continuing healthcare. A nurse must understand how the healthcare industry organizes and provides services within these levels of care.
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Qualitative Analysis03:46

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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
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Qualitative Analysis01:10

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Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
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Related Experiment Video

Updated: Feb 8, 2026

Author Spotlight: Studying the Impact of Maternal Dietary Deficiencies on Long-Term Offspring Health Outcomes
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Author Spotlight: Studying the Impact of Maternal Dietary Deficiencies on Long-Term Offspring Health Outcomes

Published on: June 28, 2024

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Challenges for a Maternal-Care Health Recommender System in Indonesia: Formative Preimplementation Qualitative Study.

Rinto Priambodo1,2, Putu Wuri Handayani1, Rizal Fathoni Aji1

  • 1Faculty of Computer Science, University of Indonesia, Depok, Indonesia.

JMIR Formative Research
|February 6, 2026
PubMed
Summary
This summary is machine-generated.

Implementing a health recommender system for maternal care in Indonesia faces challenges in skills, accuracy, and standardization. User involvement and system reliability are crucial for successful adoption and improved maternal health outcomes.

Keywords:
antenatal carehealth information systemshealth recommender systemmaternal carepreimplementationpublic health surveillance

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Area of Science:

  • Health Informatics
  • Maternal Health
  • Health Systems Research

Background:

  • Routine antenatal care (ANC) is vital for reducing maternal morbidity and mortality.
  • Health recommender systems can enhance ANC by monitoring parameters and providing tailored advice.
  • Early identification and intervention are key to improving maternal and infant outcomes.

Purpose of the Study:

  • To qualitatively analyze preimplementation challenges of a maternal care health recommender system in Indonesia.
  • To gather insights from diverse stakeholders, including healthcare providers, patients, and policymakers.
  • To identify barriers to the successful integration of digital health tools in maternal healthcare.

Main Methods:

  • Qualitative study employing semistructured interviews with 37 stakeholders.
  • Participants included healthcare workers, patients, government officials, and technology vendors.
  • Thematic analysis was used to analyze interview data, ensuring intercoder reliability (Cohen κ=0.90).

Main Results:

  • Key challenges identified across people, process, infrastructure, and policy dimensions.
  • Six major challenges (skill, accuracy, completeness, timeliness, cost, standardization) accounted for 64.43% of codes.
  • User involvement, technical advancement, data accuracy, service reliability, cost management, and clear standards are critical.

Conclusions:

  • User involvement in system design is essential for meeting healthcare professional and patient needs.
  • Improving system reliability and reducing input errors are crucial for building trust and effective decision-making.
  • Standardized guidelines and adherence to regulatory standards are necessary for broader implementation.