Must-Have Clinical Assessment Tools

Must-Have Clinical Assessment Tools

In the ever-evolving landscape of healthcare, clinical assessment tools play a pivotal role in patient care, diagnosis, and treatment planning. These tools are standardized methods used by healthcare professionals to gather, analyze, and interpret patient data systematically. From mental health evaluations to physical function assessments, these instruments provide valuable insights that guide clinical decision-making and improve patient outcomes [1].

The importance of clinical assessment tools in healthcare settings cannot be overstated. They serve as a common language among healthcare providers, enabling clear communication about patient status and progress. Moreover, these tools enhance the objectivity and reliability of assessments, reducing the potential for bias and ensuring consistency in patient evaluations across different healthcare settings and providers [2].

This blog post aims to explore must-have clinical assessment tools across various domains of healthcare. We’ll delve into the purpose and applications of these tools, providing healthcare professionals with valuable insights to enhance their clinical practice and ultimately improve patient care.

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Understanding Clinical Assessment Tools

Clinical assessment tools are standardized instruments designed to evaluate various aspects of a patient’s health status, functioning, or behavior. These tools can take many forms, including questionnaires, rating scales, physical tests, and observational measures. The primary purpose of these tools is to provide objective, reliable, and valid data that can inform diagnosis, treatment planning, and monitoring of patient progress [3].

There are various types of clinical assessments, each designed to evaluate specific aspects of health and functioning:

  1. Diagnostic assessments: These tools help identify the presence or absence of specific conditions or disorders.
  2. Functional assessments: These evaluate a patient’s ability to perform daily activities and tasks.
  3. Prognostic assessments: These tools help predict the likely course of a condition or the probability of a specific outcome.
  4. Outcome assessments: These measure the effects of interventions or treatments over time.

The importance of clinical assessment tools in patient care and diagnosis cannot be overstated. They provide several key benefits:

  • Standardization: These tools offer a consistent approach to patient evaluation, reducing variability between different healthcare providers and settings.
  • Objectivity: By using validated measures, clinicians can minimize subjective biases in their assessments.
  • Efficiency: Standardized tools can streamline the assessment process, saving time while ensuring comprehensive data collection.
  • Quantification: Many tools provide numerical scores or categorical ratings, allowing for precise tracking of changes over time.
  • Evidence-based practice: The use of validated assessment tools aligns with principles of evidence-based medicine, enhancing the quality of care [4].

By incorporating clinical assessment tools into their practice, healthcare professionals can enhance their decision-making processes, improve communication with patients and colleagues, and ultimately provide more effective, personalized care.

Mental Health Assessment Tools

Mental health assessment tools are crucial in identifying, diagnosing, and monitoring various psychological conditions. These instruments help clinicians gather standardized information about a patient’s symptoms, behaviors, and overall mental state. Here, we’ll explore three widely used and validated mental health assessment tools:

1. Beck Depression Inventory (BDI):
The Beck Depression Inventory is a 21-item self-report questionnaire designed to assess the severity of depression symptoms in adolescents and adults. Developed by Aaron T. Beck, the BDI is one of the most widely used instruments for measuring the severity of depression [5].

Key features of the BDI include:

  • It covers a range of symptoms, including mood, pessimism, sense of failure, self-dissatisfaction, guilt, and somatic concerns.
  • Each item is scored on a scale of 0-3, with higher scores indicating more severe symptoms.
  • The total score ranges from 0-63, with different cutoff points for varying levels of depression severity.

2. Generalized Anxiety Disorder 7-item (GAD-7) scale:
The GAD-7 is a brief, self-administered questionnaire designed to screen for and assess the severity of generalized anxiety disorder. It has also shown utility in detecting other anxiety disorders [6].

Key features of the GAD-7 include:

  • It consists of seven items that assess anxiety symptoms over the past two weeks.
  • Each item is scored on a 4-point Likert scale (0-3), with total scores ranging from 0-21.
  • Scores of 5, 10, and 15 represent cutoff points for mild, moderate, and severe anxiety, respectively.

3. Mini-Mental State Examination (MMSE):
The MMSE is a widely used cognitive screening tool that assesses various aspects of cognitive function, including orientation, attention, memory, language, and visual-spatial skills. It’s particularly useful in detecting cognitive impairment and monitoring cognitive changes over time [7].

Key features of the MMSE include:

  • It consists of 30 questions, with a maximum score of 30 points.
  • It typically takes about 10 minutes to administer.
  • Scores below 24 generally indicate cognitive impairment, with further classification into mild (19-23), moderate (10-18), and severe (≤9) impairment.

These mental health assessment tools provide valuable insights into a patient’s psychological state, helping clinicians make informed decisions about diagnosis and treatment. However, it’s important to note that while these tools are highly useful, they should be used in conjunction with clinical judgment and comprehensive patient evaluations for the most accurate assessments.

ToolNumber of ItemsTime to AdministerPrimary Use
Beck Depression Inventory (BDI)215-10 minutesDepression severity
GAD-772-5 minutesAnxiety screening
Mini-Mental State Examination (MMSE)3010-15 minutesCognitive impairment screening

Physical Function Assessment Tools

Physical function assessment tools are essential for evaluating a patient’s ability to perform daily activities and tasks. These tools help healthcare professionals understand a patient’s level of independence, identify areas of difficulty, and track progress over time. Here are three widely used physical function assessment tools:

1. Barthel Index:
The Barthel Index is a widely used measure of functional independence in activities of daily living (ADLs). It assesses a person’s ability to perform ten basic ADLs, including feeding, bathing, grooming, dressing, bowel control, bladder control, toilet use, transfers, mobility, and stairs [8].

Key features of the Barthel Index include:

  • It consists of 10 items, each scored on a scale of 0-5, 0-10, or 0-15, depending on the item.
  • The total score ranges from 0-100, with higher scores indicating greater independence.
  • It’s particularly useful in assessing function in stroke patients and older adults.

2. Functional Independence Measure (FIM):
The FIM is a more comprehensive assessment tool that evaluates both motor and cognitive function. It’s widely used in rehabilitation settings to assess disability and track changes in functional status over time [9].

Key features of the FIM include:

  • It consists of 18 items: 13 motor tasks and 5 cognitive tasks.
  • Each item is scored on a 7-point scale, from 1 (total assistance) to 7 (complete independence).
  • Total scores range from 18 to 126, with higher scores indicating greater independence.

3. Timed Up and Go (TUG) test:
The TUG test is a simple, quick assessment of mobility, balance, and fall risk. It measures the time it takes for an individual to stand up from a chair, walk 3 meters, turn around, walk back to the chair, and sit down [10].

Key features of the TUG test include:

  • It typically takes less than 3 minutes to administer.
  • A time of 12 seconds or less generally indicates normal mobility.
  • Times greater than 12 seconds may indicate increased fall risk, particularly in older adults.
ToolScore RangeInterpretation
Barthel Index0-1000-20: Total dependence
21-60: Severe dependence
61-90: Moderate dependence
91-99: Slight dependence
100: Independence
Functional Independence Measure (FIM)18-12618: Complete dependence
19-60: Dependent
61-103: Modified dependence
104-126: Independent
Timed Up and Go (TUG) testTime in seconds<10 seconds: Normal
11-20 seconds: Good mobility
21-30 seconds: Fair mobility
>30 seconds: Impaired mobility

Pain Assessment Tools

Pain is a complex and subjective experience, making its accurate assessment crucial for effective patient care. Pain assessment tools help healthcare professionals quantify and characterize a patient’s pain, guiding treatment decisions and monitoring the effectiveness of interventions. Here are three widely used pain assessment tools:

1. Visual Analog Scale (VAS):
The Visual Analog Scale is a simple, unidimensional measure of pain intensity. It consists of a line, usually 100 mm long, with one end representing “no pain” and the other end representing “worst pain imaginable” [11].

Key features of the VAS include:

  • Patients mark a point on the line that represents their pain intensity.
  • The score is determined by measuring the distance from the “no pain” end to the patient’s mark.
  • It’s easy to administer and sensitive to small changes in pain intensity.

2. Numeric Rating Scale (NRS):
The Numeric Rating Scale is another unidimensional measure of pain intensity. It typically consists of a 0-10 scale, where 0 represents “no pain” and 10 represents “worst pain imaginable” [12].

Key features of the NRS include:

  • Patients rate their pain intensity by selecting a number from 0 to 10.
  • It can be administered verbally or in written form.
  • It’s easy to understand and use, even for patients with limited literacy.

3. McGill Pain Questionnaire:
The McGill Pain Questionnaire (MPQ) is a multidimensional pain assessment tool that evaluates the sensory, affective, and evaluative aspects of pain. It provides a more comprehensive assessment of pain compared to unidimensional scales [13].

Key features of the MPQ include:

  • It consists of 78 pain descriptors organized into 20 subclasses.
  • Patients select words that best describe their pain experience.
  • It provides a Pain Rating Index (PRI) and a Present Pain Intensity (PPI) score.

Neurological Assessment Tools

Neurological assessment tools are crucial for evaluating various aspects of nervous system function, including consciousness, cognitive abilities, and motor skills. These tools help healthcare professionals diagnose neurological conditions, monitor disease progression, and assess the effectiveness of treatments. Here are three essential neurological assessment tools:

1. Glasgow Coma Scale (GCS):
The Glasgow Coma Scale is a widely used tool for assessing level of consciousness in patients with acute brain injury. It evaluates three aspects of responsiveness: eye opening, verbal response, and motor response [14].

Key features of the GCS include:

  • It assesses eye opening (1-4 points), verbal response (1-5 points), and motor response (1-6 points).
  • The total score ranges from 3 (deep coma or death) to 15 (fully awake and alert).
  • It’s widely used in emergency and intensive care settings.

2. National Institutes of Health Stroke Scale (NIHSS):
The NIHSS is a systematic assessment tool used to quantify the impairment caused by a stroke. It is widely used in both clinical practice and research settings to evaluate stroke severity and predict outcomes [15].

Key features of the NIHSS include:

  • It consists of 11 items that assess various aspects of neurological function.
  • Scores range from 0 (no stroke symptoms) to 42 (severe stroke).
  • It’s used to guide treatment decisions and monitor patient progress.

3. Montreal Cognitive Assessment (MoCA):
The Montreal Cognitive Assessment is a rapid screening instrument for mild cognitive impairment. It assesses various cognitive domains including attention, concentration, executive functions, memory, language, visuoconstructional skills, conceptual thinking, calculations, and orientation [16].

Key features of the MoCA include:

  • It takes approximately 10-15 minutes to administer.
  • The maximum score is 30 points, with a score of 26 or above considered normal.
  • It’s more sensitive than the Mini-Mental State Examination for detecting mild cognitive impairment.

Cardiovascular Assessment Tools

Cardiovascular assessment tools play a crucial role in evaluating heart health, assessing risk factors, and guiding treatment decisions for cardiovascular diseases. These tools help healthcare professionals in risk stratification, diagnosis, and management of heart conditions. Here are three important cardiovascular assessment tools:

1. American Heart Association (AHA) Heart Risk Calculator:
The AHA Heart Risk Calculator is an online tool designed to estimate an individual’s 10-year risk of developing atherosclerotic cardiovascular disease (ASCVD). It uses various factors to calculate this risk [17].

Key features of the AHA Heart Risk Calculator include:

  • It considers factors such as age, gender, race, total cholesterol, HDL cholesterol, systolic blood pressure, blood pressure treatment, diabetes, and smoking status.
  • The calculator provides a percentage risk of developing ASCVD in the next 10 years.
  • It’s used to guide decisions about lifestyle changes and preventive medications.

2. New York Heart Association (NYHA) Functional Classification:
The NYHA Functional Classification is a simple way of classifying the extent of heart failure. It places patients in one of four categories based on their limitations during physical activity [18].

Key features of the NYHA Classification include:

  • Class I: No limitation of physical activity
  • Class II: Slight limitation of physical activity
  • Class III: Marked limitation of physical activity
  • Class IV: Unable to carry out any physical activity without discomfort
  • It’s widely used to determine the severity of heart failure and guide treatment decisions.

3. Duke Activity Status Index (DASI):
The Duke Activity Status Index is a self-administered questionnaire that measures a patient’s functional capacity. It correlates well with peak oxygen uptake and can be used to estimate prognosis in patients with cardiovascular disease [19].

Key features of the DASI include:

  • It consists of 12 questions about daily activities, each weighted based on the metabolic cost of the activity.
  • Scores range from 0 (worst) to 58.2 (best), with higher scores indicating better functional capacity.
  • It can be used to estimate peak oxygen uptake, which is a strong predictor of cardiovascular events and mortality.

Choosing the Right Clinical Assessment Tool

Selecting the appropriate clinical assessment tool is crucial for accurate patient evaluation and effective treatment planning. Healthcare professionals must consider various factors to ensure they choose the most suitable tool for their specific clinical context. Here are some key considerations:

1. Factors to consider when selecting tools:

  • Purpose of the assessment: Different tools are designed for different purposes, such as screening, diagnosis, or monitoring progress. Ensure the tool aligns with your assessment goals.
  • Patient population: Consider the age, cognitive ability, and cultural background of your patients. Some tools may be more appropriate for specific populations.
  • Time constraints: Consider the time required to administer and score the assessment. In some clinical settings, brief screening tools may be more practical.
  • Training requirements: Some assessment tools require specific training or qualifications to administer. Ensure your team has the necessary expertise.
  • Cost and licensing: Some tools may require purchasing or licensing. Consider your budget and the long-term cost-effectiveness of the tool.

2. Validity and reliability of assessment tools:
Validity and reliability are crucial aspects of any clinical assessment tool [2].

Validity refers to how well a tool measures what it claims to measure. Consider different types of validity:

  • Content validity: Does the tool cover all relevant aspects of the construct being measured?
  • Construct validity: Does the tool accurately reflect the theoretical concept it’s supposed to measure?
  • Criterion validity: How well does the tool correlate with other established measures of the same construct?

Reliability refers to the consistency and reproducibility of the tool’s results. Consider:

  • Test-retest reliability: Does the tool produce consistent results when administered to the same person at different times?
  • Inter-rater reliability: Do different raters produce consistent results when using the tool?
  • Internal consistency: Do the items within the tool consistently measure the same construct?

3. Integration with electronic health records (EHRs):
As healthcare systems increasingly rely on digital technologies, the ability to integrate assessment tools with EHRs has become an important consideration [20].

  • Data entry and storage: Consider how easily the assessment results can be entered into and stored within the EHR system.
  • Accessibility: Ensure that assessment results are easily accessible to all relevant healthcare providers.
  • Longitudinal tracking: Look for tools that allow for easy tracking of changes over time within the EHR.
  • Decision support: Some EHR systems can integrate assessment tools directly into clinical decision support systems, providing real-time guidance based on assessment results.

Conclusion

Clinical assessment tools play a vital role in modern healthcare, providing healthcare professionals with standardized, objective methods for evaluating various aspects of patient health and functioning. From mental health and physical function to pain, neurological status, and cardiovascular health, these tools offer invaluable insights that guide diagnosis, treatment planning, and monitoring of patient progress.

Throughout this blog post, we’ve explored a range of must-have clinical assessment tools, each designed to evaluate specific aspects of health and functioning. These tools, when used appropriately, can significantly enhance the quality and consistency of patient care.

Key takeaways include:

  1. The importance of selecting the right tool for the specific clinical context and patient population.
  2. The need to consider factors such as validity, reliability, and practicality when choosing assessment tools.
  3. The potential for integrating assessment tools with electronic health records to enhance efficiency and facilitate longitudinal tracking of patient outcomes.

As healthcare continues to evolve, so too will the landscape of clinical assessment tools. Future trends may include:

  • Increased use of digital and mobile technologies for real-time, continuous assessment [21].
  • Development of more culturally sensitive and globally applicable assessment tools.
  • Integration of artificial intelligence and machine learning to enhance the predictive power of assessment tools [22].

Healthcare professionals are encouraged to stay informed about these developments and to continually evaluate and update their toolkit of clinical assessment instruments. By doing so, they can ensure they are providing the most effective, evidence-based care to their patients.

In conclusion, clinical assessment tools are indispensable assets in the healthcare professional’s arsenal. When used skillfully and in conjunction with clinical judgment, these tools have the power to significantly improve patient outcomes, enhance the efficiency of healthcare delivery, and contribute to the ongoing advancement of medical practice.

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Frequently Asked Questions

Clinical assessment tools should be regularly reviewed and updated, typically every 5-10 years, to ensure they remain valid and reliable. However, this can vary depending on advances in medical knowledge, changes in clinical practice, and new research findings. Healthcare professionals should stay informed about the latest versions and validation studies of the tools they use.

Yes, cultural considerations are crucial when using clinical assessment tools. Many tools are developed and validated in specific cultural contexts, which may affect their applicability in diverse populations. Healthcare professionals should seek culturally adapted versions of tools when available, or use caution in interpreting results for patients from different cultural backgrounds. It’s also important to consider language barriers and the potential need for translated versions of assessment tools.

While clinical assessment tools provide valuable objective data, they should always be used in conjunction with clinical judgment. Healthcare professionals should view these tools as aids to decision-making rather than replacements for their expertise. It’s important to consider the patient’s full clinical picture, including factors that may not be captured by standardized tools, and to use the results of assessments to inform, but not dictate, clinical decisions.

Emerging trends in clinical assessment tools include the integration of digital technologies, such as mobile apps and wearable devices, for real-time data collection. There’s also a growing focus on patient-reported outcome measures (PROMs) and the development of adaptive testing methods that can provide more efficient and personalized assessments. Additionally, there’s increasing interest in tools that can assess multiple domains simultaneously, providing a more holistic view of patient health.

To use clinical assessment tools ethically and responsibly, healthcare professionals should:

  1. Ensure they’re properly trained in the administration and interpretation of the tools they use;
  2. Obtain informed consent from patients before administering assessments;
  3. Maintain patient confidentiality and data privacy;
  4. Use tools only for their intended purposes and within their validated contexts;
  5. Avoid over-reliance on tool results and maintain a holistic view of patient care; and
  6. Regularly update their knowledge about the tools’ limitations and best practices for their use.

References

  1. ^ Patel, V., Saxena, S., Lund, C., Thornicroft, G., Baingana, F., Bolton, P., ... & UnÜtzer, J. (2018). The Lancet Commission on global mental health and sustainable development. The Lancet, 392(10157), 1553-1598. https://doi.org/10.1016/S0140-6736(18)31612-X
  2. ^ Streiner, D. L., Norman, G. R., & Cairney, J. (2015). Health measurement scales: A practical guide to their development and use. Oxford University Press. https://doi.org/10.1093/med/9780199685219.001.0001
  3. ^ Mokkink, L. B., Prinsen, C. A., Bouter, L. M., de Vet, H. C., & Terwee, C. B. (2016). The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) and how to select an outcome measurement instrument. Brazilian Journal of Physical Therapy, 20(2), 105-113. https://doi.org/10.1590/bjpt-rbf.2014.0143
  4. ^ Sackett, D. L., Rosenberg, W. M., Gray, J. A., Haynes, R. B., & Richardson, W. S. (1996). Evidence based medicine: What it is and what it isn't. BMJ, 312(7023), 71-72. https://doi.org/10.1136/bmj.312.7023.71
  5. ^ Wang, Y. P., & Gorenstein, C. (2013). Psychometric properties of the Beck Depression Inventory-II: a comprehensive review. Brazilian Journal of Psychiatry, 35(4), 416-431. https://doi.org/10.1590/1516-4446-2012-1048
  6. ^ Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine, 166(10), 1092-1097. https://doi.org/10.1001/archinte.166.10.1092
  7. ^ Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). Mini-mental state: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189-198. https://doi.org/10.1016/0022-3956(75)90026-6
  8. ^ Mahoney, F. I., & Barthel, D. W. (1965). Functional evaluation: The Barthel Index. Maryland State Medical Journal, 14, 61-65.
  9. ^ Linacre, J. M., Heinemann, A. W., Wright, B. D., Granger, C. V., & Hamilton, B. B. (1994). The structure and stability of the Functional Independence Measure. Archives of Physical Medicine and Rehabilitation, 75(2), 127-132.
  10. ^ Podsiadlo, D., & Richardson, S. (1991). The timed Up & Go: a test of basic functional mobility for frail elderly persons. Journal of the American Geriatrics Society, 39(2), 142-148. https://doi.org/10.1111/j.1532-5415.1991.tb01616.x
  11. ^ Hawker, G. A., Mian, S., Kendzerska, T., & French, M. (2011). Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP). Arthritis Care & Research, 63(S11), S240-S252. https://doi.org/10.1002/acr.20543
  12. ^ Ferreira-Valente, M. A., Pais-Ribeiro, J. L., & Jensen, M. P. (2011). Validity of four pain intensity rating scales. Pain, 152(10), 2399-2404. https://doi.org/10.1016/j.pain.2011.07.005
  13. ^ Dworkin, R. H., Turk, D. C., Revicki, D. A., Harding, G., Coyne, K. S., Peirce-Sandner, S., ... & Melzack, R. (2009). Development and initial validation of an expanded and revised version of the Short-form McGill Pain Questionnaire (SF-MPQ-2). Pain, 144(1-2), 35-42. https://doi.org/10.1016/j.pain.2009.02.007
  14. ^ Teasdale, G., & Jennett, B. (1974). Assessment of coma and impaired consciousness: A practical scale. The Lancet, 304(7872), 81-84. https://doi.org/10.1016/S0140-6736(74)91639-0
  15. ^ Lyden, P. (2017). Using the National Institutes of Health Stroke Scale: A cautionary tale. Stroke, 48(2), 513-519. https://doi.org/10.1161/STROKEAHA.116.015434
  16. ^ Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., ... & Chertkow, H. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695-699. https://doi.org/10.1111/j.1532-5415.2005.53221.x
  17. ^ Goff, D. C., Lloyd-Jones, D. M., Bennett, G., Coady, S., D'Agostino, R. B., Gibbons, R., ... & Wilson, P. W. (2014). 2013 ACC/AHA guideline on the assessment of cardiovascular risk: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation, 129(25 Suppl 2), S49-S73. https://doi.org/10.1161/01.cir.0000437741.48606.98
  18. ^ Raphael, C., Briscoe, C., Davies, J., Whinnett, Z. I., Manisty, C., Sutton, R., ... & Francis, D. P. (2007). Limitations of the New York Heart Association functional classification system and self‐reported walking distances in chronic heart failure. Heart, 93(4), 476-482. http://dx.doi.org/10.1136/hrt.2006.089656
  19. ^ Hlatky, M. A., Boineau, R. E., Higginbotham, M. B., Lee, K. L., Mark, D. B., Califf, R. M., ... & Pryor, D. B. (1989). A brief self-administered questionnaire to determine functional capacity (the Duke Activity Status Index). The American Journal of Cardiology, 64(10), 651-654. https://doi.org/10.1016/0002-9149(89)90496-7
  20. ^ Schiff, G. D., Volk, L. A., Volodarskaya, M., Williams, D. H., Walsh, L., Myers, S. G., ... & Bates, D. W. (2017). Screening for medication errors using an outlier detection system. Journal of the American Medical Informatics Association, 24(2), 281-287. https://doi.org/10.1093/jamia/ocw171
  21. ^ Torous, J., Andersson, G., Bertagnoli, A., Christensen, H., Cuijpers, P., Firth, J., ... & Arean, P. A. (2019). Towards a consensus around standards for smartphone apps and digital mental health. World Psychiatry, 18(1), 97-98. https://doi.org/10.1002/wps.20592
  22. ^ Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56. https://doi.org/10.1038/s41591-018-0300-7

About the author

Hugo Alberts (PhD) is a psychologist, researcher, and entrepreneur. Hugo is the originator of and chief product officer at Quenza as well as cofounder of PositivePsychology.com. Hugo has created dozens of science-based information products that are being used by tens of thousands of practitioners worldwide.

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