Eforto® Recovery Monitoring

Objective, data-driven insights to guide clinical decisions, optimise care pathways, and evaluate interventions after a health stressor.

Recovery after a health stressor, such as surgery, hospitalisation, illness, injury, or intensive medical treatment, is highly variable. Yet follow-up is often based on time since discharge or subjective reporting, rather than objective insight into functional recovery.

Traditional tools often lack sensitivity, objectivity, or ease of use. Eforto® addresses this by delivering validated, WHO-aligned biomarkers of vitality capacity 1-3, offering actionable insights in less than five minutes.

By conducting pre/post Eforto® test protocols, clinicians can track therapeutic effects, detect early decline, and make informed decisions such as whether to proceed with surgery, initiate a prehabilitation programme, adjust therapy, or discharge with confidence.

Why Objective Recovery Monitoring Matters?

Recovery after a health stressor is not only about symptom resolution: it is about restoring physical reserves and vitality capacity.1 Subtle impairments in muscle strength, muscle fatigability, and perceived fatigue often persist after discharge and may delay recovery or increase the risk of complications.

Traditional follow-up tools often lack the sensitivity and objectivity required to detect these early changes. As a result, delayed or incomplete recovery is frequently recognised only after complications, readmission, or prolonged rehabilitation. Eforto® enables objective, data-driven recovery monitoring, allowing clinicians to track recovery over time, optimise care pathways, and evaluate whether interventions are effectively restoring physical reserves.

Evidence shows that muscle fatigability is predictive of recovery after discharge4,5 and is sensitive to early, subtle changes in muscle health, inflammation, and recovery.6-8

Eforto® allows clinicians to track post-hospital deconditioning and quantify recovery in hospital or at home by objectively capturing changes in strength, inflammation, and fatigue.9,10 Repeated bedside measurements support adaptive care and safer, better-timed discharge.10 Monitoring vitality capacity is also relevant in chronic conditions such as diabetes, COPD, heart failure, and cancer, where muscle function and inflammation are guide therapy adjustment and early intervention.11

lady-doctor-calms-patient-while-nurse-takes-blood

How It Works

With this flow, Eforto® supports decisions such as:
  • Is the patient ready for discharge?
  • Is the current rehabilitation intensity appropriate?
  • Is recovery on track or delayed?
  • Have physical reserves been restored post-intervention?

1

Baseline_Assessment

Baseline
Assessment

Before or shortly after the health stressor, a first muscle test is performed in order to establish an objective baseline of physical capacity (vitality capacity, muscle strength, muscle fatigability, and optionally self-perceived fatigue)

2

Health_Stressor

Health
Stressor

The patient experiences a health stressor such as surgery, hospitalisation, acute illness, injury, or intensive medical or pharmacological treatment, which results in temporary or prolonged loss of physical reserves.

3

Follow-up_Assessments

Follow-up
Assessments

The muscle test is repeated at predefined intervals, enabling objective tracking of recovery trajectories, detection of delayed recovery, and evaluation of rehabilitation or therapeutic interventions.

4

Optional_Retesting_icon

Insights & Clinical
Decisions

Eforto® generates clear longitudinal reports visualizing changes in vitality, muscle strength, and muscle fatigability, supporting clinical decision-making for recovery and communication with patients and multidisciplinary teams.

Do you want to continue to monitor your patient’s performance at home?

Eforto for remote patient monitoring

Benefits
  • Objective, data-driven recovery monitoring
  • Standardised and repeatable measurements over time
  • Early detection of delayed or incomplete recovery
  • Supports clinical decision-making and optimisation of care pathways
  • Enables evaluation of intervention effectiveness
  • Non-invasive, well-tolerated testing suitable for repeated use, even in frail patients
  • Minimal burden for patients and care teams
  • Evidence-based, validated test protocols
  • GDPR- and HIPAA-compliant data handling

Example Use Locations

The lightweight and flexible setup makes it suitable for:
Hospitals & Outpatient Clinics-new
Hospitals & Post-Discharge Pathways

Objective follow-up after acute care or surgery

Eforto® enables objective monitoring of functional recovery after hospitalisation or surgery, supporting early detection of delayed recovery and safer discharge decisions.
Physiotherapy Practices 1
Physiotherapy Practices

Quantified monitoring of rehabilitation progress

Physiotherapists use Eforto® to objectively track recovery during rehabilitation programmes and guide data-driven therapy progression.
Fatigue & Recovery Clinics
Fatigue & Recovery Clinics

Objective tracking of prolonged recovery

Fatigue clinics use Eforto® to complement symptom reporting with quantified muscle fatigability and vitality capacity measures.
Longevity Clinic 1
Longevity Clinics

Monitoring recovery after interventions

Eforto® allows to monitor recovery after medical or lifestyle interventions and ensure physical reserves are restored.
Nursing home
Nursing Homes & Assisted Living

Recovery monitoring after acute events

Eforto® supports objective follow-up after infections, falls, or hospital admissions to detect incomplete recovery early.

Customizability & Data Privacy

Eforto® Recovery Monitoring can be configured using:

During onboarding, your care team is supported in selecting an appropriate test protocol and implementing Eforto® within your care setting.

All data is processed via Eforto® Metrics, ensuring secure storage, strict profile separation, GDPR & HIPAA compliance, and optional integration with healthcare software systems.
"When older patients are facing acute illness, it is crucial to know how resilient they are and how they will recover from that illness: Eforto has shown that it can validly discriminate between patients with better or worse functional recovery rates."
René Melis
dr. René Melis
Assistant professor, researcher, Geriatrics, Radboud University Medical Center

Ready to make recovery measurable?

Bring objective, data-driven recovery monitoring into your care pathways and support better clinical decisions after a health stressor.

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List of References

  1. Bautmans, I., Knoop, V., Thiyagarajan, J.A., Maier, A.B., Beard, J.R., Freiberger, E., Belsky, D., Aubertin-Leheudre, M., Mikton, C., Cesari, M., & Sumi, Y. (2022). WHO working definition of vitality capacity for healthy longevity monitoring. The Lancet Healthy Longevity, 3(11), e789–e796.
  2. Knoop, V., Costenoble, A., Debain, A., Azzopardi, R.V., Vermeiren, S., van Laere, S., Jansen, B., Scafoglieri, A., Bautmans, I., Verté, D., & Beyer, I. (2021). The interrelationship between grip work, self-perceived fatigue and pre-frailty in community-dwelling octogenarians. Experimental Gerontology, 152, 111440.
  3. Westenberger, A., Nöhre, M., Brähler, E., Morfeld, M., & de Zwaan, M. (2022). Psychometric properties, factor structure, and German population norms of the multidimensional fatigue inventory (MFI-20). Frontiers in Psychiatry, 13, 1062426.
  4. Swart, M., Geerds, M., Bautmans, I., De Dobbeleer, L., Lieten, S., da Silva, H.P., Tielemans, R., Bonneux, C., Schoon, Y., Peeters, G., Olde Rikkert, M., van Dartel, D., & Melis, R. (2024). Association of grip work indicators with post-discharge recovery in geriatric and hip fracture inpatients. Age and Ageing. [Data under review]
  5. Gijzel, S.M., van de Leemput, I.A., Scheffer, M., van Bon, G.E., Weerdesteyn, V., Eijsvogels, T.M., Hopman, M.T., Olde Rikkert, M.G., & Melis, R.J. (2019). Dynamical indicators of resilience in postural balance time series are related to successful aging in high-functioning older adults. The Journals of Gerontology: Series A, 74(7), 1119–1126.
  6. Eldadah, B.A. (2010). Fatigue and fatigability in older adults. PM&R, 2(5), 406–413.
  7. Bautmans, I., Njemini, R., De Backer, J., De Waele, E., & Mets, T. (2010). Surgery-induced inflammation in relation to age, muscle endurance, and self-perceived fatigue. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences, 65(3), 266–273.
  8. Coppers, B., Heinrich, S., Bayat, S., Tascilar, K., Kleyer, A., Simon, D., Minopoulou, I., Corte, G., Fagni, F., Schönau, V., & Bohr, D. (2024). AB0208 Reduced hand function indicates higher disease activity in patients with rheumatoid and psoriatic arthritis. Annals of the Rheumatic Diseases, 83, 1342.
  9. Po, H.W., Chu, Y.C., Tsai, H.C., Lin, C.L., Chen, C.Y., & Ma, M.H.M. (2024). Efficacy of remote health monitoring in reducing hospital readmissions among high-risk postdischarge patients: prospective cohort study. JMIR Formative Research, 8, e53455.
  10. Swart, M.M., Smetsers, L., Bautmans, I., Plácido da Silva, H., Geerds, M., Tielemans, R., Melis, R. and Peeters, G., 2024. Feasibility of hand grip tests during and after hospitalization in geriatric patients: an observational study. BMC geriatrics, 24(1), p.703.
  11. Lu, Y., Li, G., Ferrari, P., Freisling, H., Qiao, Y., Wu, L., Shao, L. and Ke, C., 2022. Associations of handgrip strength with morbidity and all-cause mortality of cardiometabolic multimorbidity. BMC medicine, 20(1), p.191.
  12. AAL Programme. (2025, January 9). FORTO 2.0 - AAL programme. https://www.aal-europe.eu/projects/forto-2-0/